T
he Med-Peds Authors Bibliography is an ongoing collaborative project of the Med-Peds Program Directors’ Association (MPPDA), the American Academy of Pediatrics/American College of Physicians Med-Peds Section, and the National Med-Peds Residents’ Association (NMPRA).

The goal of the Med-Peds Authors Bibliography project is to compile a list of peer-reviewed literature by Med-Peds trained physicains.

This is a service provided by the Med-Peds community for those inside and outside the Med-Peds community looking to find research published by Med-Peds physicians. Because of the inability to search PubMed by the clinical training of the author, this list is not designed to be inclusive of all literature published by Med-Peds physcians. It is a listed compiled by Med-Peds physicians based on their own publication and publications that they know of of other Med-Peds physicians.

We are always looking to add peer-reviwed, PubMed cited publications to add to this list.

Peer-reviewed, PubMed cited publication to this list as follows:

  • Find the references in PubMed
  • Select “Send to”
  • Select “File”
  • Select “MEDLINE” format
  • Select “Creat File”
  • Save the file as “pubmed_result (LASTNAME).txt”
  • Email the file to webmaster@medpeds.org

The Med-Peds Authors Bibliography contains peer-reviewed, PubMed cited refernces in MEDLINE format. The format may look weird, but it is formatted in a way that will make it easy to import into a standard reference manager like Endnote.

If you have questions, comments, or contributions regarding the Med-Peds Field Bibliography, please email bibliography@medpeds.org.


 Med-Peds Authors Bibliography

 

PMID- 22759621

OWN – NLM

STAT- MEDLINE

DA – 20121018

DCOM- 20130425

IS – 1527-974X (Electronic)

IS – 1067-5027 (Linking)

VI – 19

IP – 6

DP – 2012 Nov-Dec

TI – Patient characteristics associated with venous thromboembolic events: a cohort

study using pooled electronic health record data.

PG – 965-72

LID – 10.1136/amiajnl-2011-000782 [doi]

AB – OBJECTIVE: To demonstrate the potential of de-identified clinical data from

multiple healthcare systems using different electronic health records (EHR) to be

efficiently used for very large retrospective cohort studies. MATERIALS AND

METHODS: Data of 959 030 patients, pooled from multiple different healthcare

systems with distinct EHR, were obtained. Data were standardized and normalized

using common ontologies, searchable through a HIPAA-compliant, patient

de-identified web application (Explore; Explorys Inc). Patients were 26 years or

older seen in multiple healthcare systems from 1999 to 2011 with data from EHR.

RESULTS: Comparing obese, tall subjects with normal body mass index, short

subjects, the venous thromboembolic events (VTE) OR was 1.83 (95% CI 1.76 to

1.91) for women and 1.21 (1.10 to 1.32) for men. Weight had more effect then

height on VTE. Compared with Caucasian, Hispanic/Latino subjects had a much lower

risk of VTE (female OR 0.47, 0.41 to 0.55; male OR 0.24, 0.20 to 0.28) and

African-Americans a substantially higher risk (female OR 1.83, 1.76 to 1.91; male

OR 1.58, 1.50 to 1.66). This 13-year retrospective study of almost one million

patients was performed over approximately 125 h in 11 weeks, part time by the

five authors. DISCUSSION: As research informatics tools develop and more clinical

data become available in EHR, it is important to study and understand unique

opportunities for clinical research informatics to transform the scale and

resources needed to perform certain types of clinical research. CONCLUSIONS: With

the right clinical research informatics tools and EHR data, some types of very

large cohort studies can be completed with minimal resources.

AD – Department of Information Services, The MetroHealth System, Cleveland, Ohio, USA.

david.kaelber@case.edu

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Foster, Wendy

AU – Foster W

FAU – Gilder, Jason

AU – Gilder J

FAU – Love, Thomas E

AU – Love TE

FAU – Jain, Anil K

AU – Jain AK

LA – eng

GR – UL1 RR024989/RR/NCRR NIH HHS/United States

PT – Journal Article

PT – Multicenter Study

DEP – 20120703

PL – United States

TA – J Am Med Inform Assoc

JT – Journal of the American Medical Informatics Association : JAMIA

JID – 9430800

SB – IM

MH – Body Height

MH – Body Mass Index

MH – Data Collection/*methods

MH – Electronic Health Records/*statistics & numerical data

MH – Female

MH – Humans

MH – Internet

MH – Male

MH – Middle Aged

MH – Retrospective Studies

MH – Risk Factors

MH – Software

MH – Unified Medical Language System

MH – United States/epidemiology

MH – Venous Thromboembolism/epidemiology/*prevention & control

PMC – PMC3534456

OID – NLM: PMC3534456 [Available on 11/08/13]

EDAT- 2012/07/05 06:00

MHDA- 2013/04/26 06:00

CRDT- 2012/07/05 06:00

PMCR- 2013/11/08 00:00

PHST- 2012/07/03 [aheadofprint]

AID – amiajnl-2011-000782 [pii]

AID – 10.1136/amiajnl-2011-000782 [doi]

PST – ppublish

SO – J Am Med Inform Assoc. 2012 Nov-Dec;19(6):965-72. doi:

10.1136/amiajnl-2011-000782. Epub 2012 Jul 3.

 

PMID- 23646083

OWN – NLM

STAT- In-Data-Review

DA – 20130506

IS – 1869-0327 (Electronic)

VI – 3

IP – 3

DP – 2012

TI – Case report medical eponyms: an applied clinical informatics opportunity.

PG – 349-55

LID – 10.4338/ACI-2012-05-CR-0019 [doi]

AB – Medical eponyms are medical words derived from people’s names. Eponyms,

especially similar sounding eponyms, may be confusing to people trying to use

them because the terms themselves do not contain physiologically descriptive

words about the condition they refer to. Through the use of electronic health

records (EHRs), embedded applied clinical informatics tools including synonyms

and pick lists that include physiologically descriptive terms associated with any

eponym appearing in the EHR can significantly enhance the correct use of medical

eponyms. Here we describe a case example of two similar sounding medical eponyms

– Wegener’s disease and Wegner’s disease – which were confused in our EHR. We

describe our solution to address this specific example and our suggestions and

accomplishments developing more generalized approaches to dealing with medical

eponyms in EHRs. Integrating brief physiologically descriptive terms with medical

eponyms provides an applied clinical informatics opportunity to improve patient

care.

FAU – Baskaran, L N Guptha Munugoor

AU – Baskaran LN

FAU – Greco, P J

AU – Greco PJ

FAU – Kaelber, D C

AU – Kaelber DC

LA – eng

PT – Journal Article

DEP – 20120919

PL – Germany

TA – Appl Clin Inform

JT – Applied clinical informatics

JID – 101537732

SB – IM

PMC – PMC3613025

OID – NLM: PMC3613025 [Available on 09/19/13]

OTO – NOTNLM

OT – Medical eponyms

OT – electronic health records

OT – integrated clinical decision support

OT – patient safety

OT – system improvement

EDAT- 2012/01/01 00:00

MHDA- 2012/01/01 00:00

CRDT- 2013/05/07 06:00

PMCR- 2013/09/19 00:00

PHST- 2012 [ppublish]

PHST- 2012/09/26 [received]

PHST- 2012/08/29 [accepted]

PHST- 2012/09/19 [epublish]

AID – 10.4338/ACI-2012-05-CR-0019 [doi]

PST – epublish

SO – Appl Clin Inform. 2012 Sep 19;3(3):349-55. doi: 10.4338/ACI-2012-05-CR-0019.

Print 2012.

 

PMID- 23616904

OWN – NLM

STAT- PubMed-not-MEDLINE

DA – 20130425

DCOM- 20130426

LR – 20130429

IS – 1869-0327 (Electronic)

VI – 3

IP – 1

DP – 2012

TI – Implementing Black Box Warnings (BBWs) in Health Information Systems: An

Organizing Taxonomy Identifying Opportunities and Challenges.

PG – 124-34

LID – 10.4338/ACI-2011-10-RA-0063 [doi]

AB – OBJECTIVE: To develop a practical approach for implementing clinical decision

support (CDS) for medication black box warnings (BBWs) into health information

systems (HIS). METHODS: We reviewed all existing medication BBWs and organized

them into a taxonomy that identifies opportunities and challenges for

implementing CDS for BBWs into HIS. RESULTS: Of the over 400 BBWs that currently

exist, they can be organized into 4 categories with 9 sub-categories based on the

types of information contained in the BBWs, who should be notified, and potential

actions to that could be taken by the person receiving the BBW. Informatics

oriented categories and sub-categories of BBWs include – interactions (13%)

(drug-drug (4%) and drug-diagnosis (9%)), testing (21%) (baseline (9%) and

on-going (12%)), notifications (29%) (drug prescribers (7%), drug dispensers

(2%), drug administrators (9%), patients (10%), and third parties (1%)), and

non-actionable (37%). This categorization helps identify BBWs for which CDS can

be easily implemented into HIS today (such as drug-drug interaction BBWs), those

that cannot be easily implemented into HIS today (such as non-actionable BBWs),

and those where advanced and/or integrated HIS need to be in place to implement

CDS for BBWs (such a drug dispensers BBWs). CONCLUSIONS: HIS have the potential

to improve patient safety by implementing CDS for BBWs. A key to building CDS for

BBWs into HIS is developing a taxonomy to serve as an organizing roadmap for

implementation. The informatics oriented BBWs taxonomy presented here identified

types of BBWs in which CDS can be implemented easily into HIS currently (a

minority of the BBWs) and those types of BBWs where CDS cannot be easily

implemented today (a majority of BBWs).

FAU – Ikezuagu, M

AU – Ikezuagu M

FAU – Yang, E

AU – Yang E

FAU – Daghstani, A

AU – Daghstani A

FAU – Kaelber, D C

AU – Kaelber DC

LA – eng

PT – Journal Article

DEP – 20120321

PL – Germany

TA – Appl Clin Inform

JT – Applied clinical informatics

JID – 101537732

PMC – PMC3613013

OID – NLM: PMC3613013

OTO – NOTNLM

OT – BBW

OT – Black box warning

OT – CDS

OT – HIS

OT – clinical decision support

OT – health information systems

OT – patient safety

OT – taxonomy

EDAT- 2012/01/01 00:00

MHDA- 2012/01/01 00:01

CRDT- 2013/04/26 06:00

PHST- 2012 [ppublish]

PHST- 2011/12/18 [received]

PHST- 2012/02/24 [accepted]

PHST- 2012/03/21 [epublish]

AID – 10.4338/ACI-2011-10-RA-0063 [doi]

PST – epublish

SO – Appl Clin Inform. 2012 Mar 21;3(1):124-34. doi: 10.4338/ACI-2011-10-RA-0063.

Print 2012.

 

PMID- 22048051

OWN – NLM

STAT- MEDLINE

DA – 20120319

DCOM- 20120507

IS – 1097-6833 (Electronic)

IS – 0022-3476 (Linking)

VI – 160

IP – 4

DP – 2012 Apr

TI – Correlates and trends in training satisfaction on completion of internal

medicine-pediatrics residency: a 5-year study.

PG – 690-6

LID – 10.1016/j.jpeds.2011.09.031 [doi]

AB – OBJECTIVE: To examine trends in training satisfaction in graduates of combined

internal medicine-pediatrics (Med-Peds) training programs and whether curricular

elements designed to enhance the integration of the two disciplines have been

successful. STUDY DESIGN: We conducted a cross-sectional survey of all graduating

Med-Peds residents (years 2003-2007). Responses across survey years were analyzed

to identify trends. Data for all survey years was analyzed for correlations among

curricular elements, perceived adequacy of training, and preparation for future

activities. RESULTS: Overall, residents rated training time as just right for all

areas except neonatal intensive care unit training, outpatient procedures, career

planning, and office management. There was a significant upward trend in

availability of board examination reviews, Med-Peds noon conferences, and

mentoring. Residents’ ratings of their preparation for most activities increased

across the years. More residents reported being satisfied with preparation for

internal medicine than pediatric primary care practice (86% versus 83%). Career

planning seminars, mentoring, and board reviews correlated with the greatest

increase in satisfaction. CONCLUSIONS: Med-Peds graduates report a high and

increasing level of satisfaction with their preparation in multiple educational

domains. Curricular elements designed to enhance integration of the two

disciplines have a broad positive impact. Perceived pediatric practice

preparation lags behind that of internal medicine.

CI – Copyright A(c) 2012 Mosby, Inc. All rights reserved.

AD – Department of Internal Medicine, University of Rochester, Rochester, NY, USA.

jkenneth@rochester.rr.com

FAU – Chamberlain, John K

AU – Chamberlain JK

FAU – Frintner, Mary Pat

AU – Frintner MP

FAU – Melgar, Thomas A

AU – Melgar TA

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Kan, Brian D

AU – Kan BD

LA – eng

PT – Journal Article

PT – Research Support, Non-U.S. Gov’t

DEP – 20111101

PL – United States

TA – J Pediatr

JT – The Journal of pediatrics

JID – 0375410

SB – AIM

SB – IM

MH – Adult

MH – Cross-Sectional Studies

MH – Female

MH – Goals

MH – Humans

MH – Internal Medicine/*education

MH – *Internship and Residency

MH – Male

MH – Pediatrics/*education

MH – *Personal Satisfaction

MH – Time Factors

EDAT- 2011/11/04 06:00

MHDA- 2012/05/09 06:00

CRDT- 2011/11/04 06:00

PHST- 2011/02/10 [received]

PHST- 2011/08/05 [revised]

PHST- 2011/09/20 [accepted]

PHST- 2011/11/01 [aheadofprint]

AID – S0022-3476(11)00945-0 [pii]

AID – 10.1016/j.jpeds.2011.09.031 [doi]

PST – ppublish

SO – J Pediatr. 2012 Apr;160(4):690-6. doi: 10.1016/j.jpeds.2011.09.031. Epub 2011 Nov

1.

 

PMID- 21640684

OWN – NLM

STAT- MEDLINE

DA – 20110909

DCOM- 20120531

IS – 1876-2867 (Electronic)

VI – 11

IP – 5

DP – 2011 Sep-Oct

TI – Graduating med-peds residents’ interest in part-time employment.

PG – 369-74

LID – 10.1016/j.acap.2011.02.013 [doi]

AB – OBJECTIVE: As part-time work is becoming more popular among the primary care

specialties, we examined the demographic descriptors of med-peds residents

seeking and finding part-time employment upon completion of residency training.

METHODS: As part of the 2006 annual American Academy of Pediatrics (AAP)

Graduating Med-Peds Residents Survey, we surveyed the graduating residents of all

med-peds programs about their interest in and plans for part-time employment. A

total of 199 (60%) of the residents responded. RESULTS: Of the resident

respondents applying for nonfellowship jobs, 19% sought part-time positions and

10% actually accepted a part-time position. Female residents were significantly

more likely than male residents to apply for part-time jobs (26% vs. 7%, P =

.034). Sixty percent of female residents immediately seeking work and 58% of

those going on to fellowship reported an interest in arranging a part-time or

reduced-hours position at some point in the next 5 years. CONCLUSIONS: Part-time

employment among med-peds residents applying for nonfellowship positions after

graduation is similar to the current incidence of part-time employment in other

fields of primary care. A much higher percentage of med-peds residents are

interested in arranging part-time work within 5 years after graduation. This

strong interest in part-time work has many implications for the primary care

workforce.

CI – Copyright (c) 2011 Academic Pediatric Association. Published by Elsevier Inc. All

rights reserved.

AD – Department of Internal Medicine, University of Rochester School of Medicine and

Dentistry, Rochester, NY 14642, USA. brett_robbins@urmc.rochester.edu

FAU – Fix, Amy L

AU – Fix AL

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Melgar, Thomas A

AU – Melgar TA

FAU – Chamberlain, John

AU – Chamberlain J

FAU – Cull, William

AU – Cull W

FAU – Robbins, Brett W

AU – Robbins BW

LA – eng

PT – Journal Article

PT – Research Support, Non-U.S. Gov’t

DEP – 20110602

PL – United States

TA – Acad Pediatr

JT – Academic pediatrics

JID – 101499145

SB – IM

MH – Adult

MH – Attitude of Health Personnel

MH – *Career Choice

MH – *Employment

MH – Female

MH – Humans

MH – *Internship and Residency

MH – Male

MH – *Pediatrics/education

MH – United States

MH – Workload

EDAT- 2011/06/07 06:00

MHDA- 2012/06/01 06:00

CRDT- 2011/06/07 06:00

PHST- 2010/07/27 [received]

PHST- 2011/02/15 [revised]

PHST- 2011/02/24 [accepted]

PHST- 2011/06/02 [aheadofprint]

AID – S1876-2859(11)00063-5 [pii]

AID – 10.1016/j.acap.2011.02.013 [doi]

PST – ppublish

SO – Acad Pediatr. 2011 Sep-Oct;11(5):369-74. doi: 10.1016/j.acap.2011.02.013. Epub

2011 Jun 2.

 

PMID- 21151014

OWN – NLM

STAT- MEDLINE

DA – 20110426

DCOM- 20120504

LR – 20120813

IS – 1930-739X (Electronic)

IS – 1930-7381 (Linking)

VI – 19

IP – 5

DP – 2011 May

TI – Screening for obesity-related complications among obese children and adolescents:

1999-2008.

PG – 1077-82

LID – 10.1038/oby.2010.277 [doi]

AB – Obesity is becoming an increasingly prevalent problem among American children.

Screening for obesity associated comorbid conditions has been shown to be

inconsistent. The current study was undertaken to explore patterns of ordering

screening tests among obese pediatric patients. We analyzed electronic medical

records (EMR) from 69,901 patients ages 2-18 years between June 1999 and December

2008. Obese children who had documented diagnoses of obesity were identified

based on International Classification of Diseases, Ninth Revision codes.

Screening rates for glucose, liver, and lipid abnormalities were assessed.

Regression analysis was used to examine impact of patient characteristics and

temporal trends were analyzed. Of the 9,251 obese diagnosed patients identified,

22% were screened for all three included obesity-related conditions: diabetes,

liver, and lipid abnormalities; 52% were screened for glucose abnormalities; 30%

for liver abnormalities; and 41% for lipid abnormalities. Increasing BMI and age

were associated with increased rates of screening. Females and Hispanic patients

were more likely to be screened. The majority of screening was ordered under

“basic metabolic panel,” “hepatic function panel,” and “full lipid profile” for

each respective condition. The percentages of patients screened generally

increased over time, although the percentages screened for diabetes and lipid

abnormalities seemed to plateau or decrease after 2004. Even after diagnosis,

many obese patients are not receiving recommended laboratory screening tests.

Screening increased during the study period, but remains less than ideal.

Providers could improve care by more complete laboratory screening in patients

diagnosed with obesity.

AD – Denver Children’s Hospital, Denver, Colorado, USA. benson.lacey@tchden.org

FAU – Benson, Lacey J

AU – Benson LJ

FAU – Baer, Heather J

AU – Baer HJ

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Comparative Study

PT – Journal Article

DEP – 20101209

PL – United States

TA – Obesity (Silver Spring)

JT – Obesity (Silver Spring, Md.)

JID – 101264860

RN – 0 (Blood Glucose)

RN – 0 (Lipids)

SB – IM

MH – Adolescent

MH – Blood Glucose/metabolism

MH – Body Mass Index

MH – Body Weight

MH – Child

MH – Child, Preschool

MH – Cohort Studies

MH – *Delivery of Health Care/trends

MH – Female

MH – Guidelines as Topic

MH – Humans

MH – Lipids/blood

MH – Liver/metabolism

MH – Liver Function Tests

MH – Male

MH – *Mass Screening/trends

MH – Medical Records Systems, Computerized/trends

MH – Obesity/*complications/epidemiology

MH – Regression Analysis

MH – Retrospective Studies

MH – Risk Factors

MH – United States/epidemiology

EDAT- 2010/12/15 06:00

MHDA- 2012/05/05 06:00

CRDT- 2010/12/15 06:00

PHST- 2010/12/09 [aheadofprint]

AID – oby2010277 [pii]

AID – 10.1038/oby.2010.277 [doi]

PST – ppublish

SO – Obesity (Silver Spring). 2011 May;19(5):1077-82. doi: 10.1038/oby.2010.277. Epub

2010 Dec 9.

 

PMID- 20626580

OWN – NLM

STAT- MEDLINE

DA – 20101020

DCOM- 20110216

IS – 1440-1754 (Electronic)

IS – 1034-4810 (Linking)

VI – 46

IP – 10

DP – 2010 Oct

TI – When is family history obtained? – Lack of timely documentation of family history

among overweight and hypertensive paediatric patients.

PG – 600-5

LID – 10.1111/j.1440-1754.2010.01798.x [doi]

AB – AIM: Taking a detailed family history is an inexpensive way for healthcare

providers to screen patients for increased risk of various chronic conditions.

Documentation of family history, however, has been shown to be incomplete in the

majority of patient charts. The current study examines when family history is

collected within the context of the development and diagnosis of chronic

conditions in paediatrics, using hypertension and overweight/obesity as examples.

METHODS: We analysed family history data from the electronic medical records of

5485 overweight/obese and 774 hypertensive children and adolescents in a large,

urban medical system in northeast Ohio. Manual review of 200 charts was also

performed. RESULTS: Family history information was entered prior to the

development of hypertension in 13.5% of hypertensive patients with a family

history of hypertension, and it was entered prior to the development of abnormal

weight in 35.5% of overweight/obese patients with a family history of obesity or

a related condition. Of patients with a relevant family history who received an

actual diagnosis for either of these conditions, only 16.7% of hypertensive and

33.3% of overweight/obese patients had this family history documented prior to

diagnosis. CONCLUSIONS: These results imply that paediatric providers may not use

family history as a screening tool for assessing future risk of obesity and

hypertension, but instead gather this information after these chronic conditions

have developed, making it difficult to implement preventative or screening

strategies based on familial risk.

CI – (c) 2010 The Authors. Journal compilation (c) 2010 Paediatrics and Child Health

Division (Royal Australasian College of Physicians).

AD – The Children’s Hospital, Denver, Colorado, USA. david.kaelber@case.edu

FAU – Benson, Lacey

AU – Benson L

FAU – Baer, Heather J

AU – Baer HJ

FAU – Greco, Peter J

AU – Greco PJ

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Journal Article

PL – Australia

TA – J Paediatr Child Health

JT – Journal of paediatrics and child health

JID – 9005421

SB – IM

MH – Adolescent

MH – Child

MH – Child, Preschool

MH – *Family

MH – Humans

MH – *Hypertension

MH – Medical Audit

MH – *Medical History Taking

MH – Ohio

MH – *Overweight

MH – Pediatrics

EDAT- 2010/07/16 06:00

MHDA- 2011/02/17 06:00

CRDT- 2010/07/15 06:00

AID – JPC1798 [pii]

AID – 10.1111/j.1440-1754.2010.01798.x [doi]

PST – ppublish

SO – J Paediatr Child Health. 2010 Oct;46(10):600-5. doi:

10.1111/j.1440-1754.2010.01798.x.

 

PMID- 22044466

OWN – NLM

STAT- MEDLINE

DA – 20111102

DCOM- 20120403

IS – 1935-5068 (Electronic)

IS – 1551-8949 (Linking)

VI – 77

IP – 3

DP – 2010 Sep-Dec

TI – Monitoring pediatric blood pressure at dental appointments.

PG – 140-5

AB – Numerous studies have tracked blood pressure from adolescence into adulthood. It

is increasingly apparent that the recent increase in obesity and resultant

end-organ effects of hypertension originates in childhood. Pediatric hypertension

is a significant health concern that, if left untreated, can affect a child’s

cardiovascular, endocrine, renal, and neurologic systems. In 2004, the National

High Blood Pressure Education Program Working Group on High Blood Pressure in

Children and Adolescents recommended that bloodpressure should be monitored in

pediatric patients who are at least 3-years-old and that this procedure should be

a part of the health care visit in all health facilities, rather than just within

the medical office. The purpose of this article was to emphasize the need for

following these recommendations at oral care visits and suggest a simplified

pediatric blood pressure table that dental clinicians can use to identify

children who need referrals to medical facilities for evaluation of blood

pressure.

AD – Department of Pediatric Dentistry, the Baylor College of Dentistry, Texas A&M

Health Science Center, Dallas, Texas, USA. kviswanathan@bcd.tamhsc.edu

FAU – Viswanathan, Kavitha

AU – Viswanathan K

FAU – Muzzin, Kathleen

AU – Muzzin K

FAU – Pickett, Frieda A

AU – Pickett FA

FAU – Kaelber, David

AU – Kaelber D

LA – eng

PT – Journal Article

PT – Review

PL – United States

TA – J Dent Child (Chic)

JT – Journal of dentistry for children (Chicago, Ill.)

JID – 101180951

SB – D

SB – IM

MH – Adolescent

MH – Blood Pressure Determination/*methods

MH – Child

MH – Child, Preschool

MH – *Dental Care for Children

MH – Humans

MH – Hypertension/*diagnosis/physiopathology

MH – Practice Guidelines as Topic

MH – Risk Factors

EDAT- 2010/01/01 00:00

MHDA- 2012/04/04 06:00

CRDT- 2011/11/03 06:00

PST – ppublish

SO – J Dent Child (Chic). 2010 Sep-Dec;77(3):140-5.

 

PMID- 19833670

OWN – NLM

STAT- MEDLINE

DA – 20091125

DCOM- 20100309

LR – 20100331

IS – 1741-2889 (Electronic)

IS – 1367-4935 (Linking)

VI – 13

IP – 4

DP – 2009 Dec

TI – The association of continuity of care on the diagnosis of hypertension in

children and adolescents.

PG – 361-9

LID – 10.1177/1367493509344680 [doi]

AB – Hypertension among pediatric patients is an underdiagnosed condition. As

continuity of care has been found to increase quality of pediatric care, we

undertook this study to assess effect of continuity on diagnosis of pediatric

hypertension. This is a retrospective analysis of 774 hypertensive patients, ages

3-18 years between June 1999 and October 2007 within the MetroHealth System in

northeastern Ohio. The proportion of hypertensive patients diagnosed was assessed

using coding within the electronic medical record. Continuity was assessed using

the usual provider of care, defined as the number of visits to the most frequent

provider divided by the total number of visits in the study period. Overall

continuity did not have a statistically significant association with diagnosis

(OR 0.7, CI 0.4-1.4). Our research indicates that continuity does not

significantly affect diagnosis of hypertension in pediatric patients. Other

approaches should be investigated to improve the significant underdiagnosis of

pediatric hypertension.

AD – The Children’s Hospital, Denver, CO, USA.

FAU – Benson, Lacey J

AU – Benson LJ

FAU – Cohn, Robert

AU – Cohn R

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Journal Article

DEP – 20091015

PL – England

TA – J Child Health Care

JT – Journal of child health care : for professionals working with children in the

hospital and community

JID – 9806360

SB – N

EIN – J Child Health Care. 2010 Mar;14(1):126

MH – Adolescent

MH – Child

MH – Child, Preschool

MH – *Continuity of Patient Care

MH – Humans

MH – Hypertension/*diagnosis

MH – Ohio

MH – Retrospective Studies

EDAT- 2009/10/17 06:00

MHDA- 2010/03/10 06:00

CRDT- 2009/10/17 06:00

PHST- 2009/10/15 [aheadofprint]

AID – 1367493509344680 [pii]

AID – 10.1177/1367493509344680 [doi]

PST – ppublish

SO – J Child Health Care. 2009 Dec;13(4):361-9. doi: 10.1177/1367493509344680. Epub

2009 Oct 15.

 

PMID- 19414519

OWN – NLM

STAT- MEDLINE

DA – 20090601

DCOM- 20090617

IS – 1098-4275 (Electronic)

IS – 0031-4005 (Linking)

VI – 123

IP – 6

DP – 2009 Jun

TI – Simple table to identify children and adolescents needing further evaluation of

blood pressure.

PG – e972-4

LID – 10.1542/peds.2008-2680 [doi]

AB – OBJECTIVE: The goal was to create a tool to screen more easily for children and

adolescents who might have hypertension or prehypertension. METHODS: We took the

existing tables from The Fourth Report on the Diagnosis, Evaluation and Treatment

of High Blood Pressure in Children and Adolescents, which contain hundreds of

normal and abnormal blood pressure values based on gender, age, and height

percentile, and analyzed this data to develop a much simplified table based only

on gender and age. RESULTS: In our simplified table we reduced the number of

values from 476 to 64 and have only one threshold value of abnormal systolic and

diastolic blood pressure, by gender, for each year of life (ages 3 to > or =18).

This table makes it easy to identify abnormal blood pressure values in almost any

potential care or screening setting. This approach is ideal when blood pressure

is measured outside a physician’s office or even at intake in a pediatrician’s

office, when the height percentile (which is required for the use of current

tables) may not be easily obtainable. CONCLUSIONS: This screening tool can

quickly and easily identify children and adolescents whose blood pressure

readings merit further evaluation by a physician and rule out abnormal blood

pressure in children and adolescents.

AD – Department of Pediatrics, MetroHealth System, Cleveland, Ohio, USA.

david.kaelber@case.edu

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Pickett, Frieda

AU – Pickett F

LA – eng

PT – Journal Article

DEP – 20090504

PL – United States

TA – Pediatrics

JT – Pediatrics

JID – 0376422

SB – AIM

SB – IM

MH – Adolescent

MH – Age Factors

MH – Blood Pressure Determination/statistics & numerical data

MH – Child

MH – Child, Preschool

MH – Emergency Service, Hospital

MH – Female

MH – Humans

MH – Hypertension/*diagnosis/epidemiology

MH – Male

MH – Mass Screening/*methods/statistics & numerical data

MH – Pediatrics

MH – Physicians’ Offices

MH – Reference Values

MH – Sex Factors

EDAT- 2009/05/06 09:00

MHDA- 2009/06/18 09:00

CRDT- 2009/05/06 09:00

PHST- 2009/05/04 [aheadofprint]

AID – peds.2008-2680 [pii]

AID – 10.1542/peds.2008-2680 [doi]

PST – ppublish

SO – Pediatrics. 2009 Jun;123(6):e972-4. doi: 10.1542/peds.2008-2680. Epub 2009 May 4.

 

PMID- 19240455

OWN – NLM

STAT- MEDLINE

DA – 20090225

DCOM- 20090331

IS – 1938-808X (Electronic)

IS – 1040-2446 (Linking)

VI – 84

IP – 3

DP – 2009 Mar

TI – Characteristics of medicine-pediatrics practices: results from the national

ambulatory medical care survey.

PG – 396-401

LID – 10.1097/ACM.0b013e3181970bb9 [doi]

AB – BACKGROUND: Combined medicine-pediatrics (med-peds) training has existed for 40

years, yet little is known about national med-peds practices. A more

comprehensive understanding of med-peds practices is important to inform medical

students and guide evolving curricula and accreditation standards. METHOD: The

authors used data from the National Ambulatory Medical Care Survey from 2000 to

2006 to characterize the age distribution and types of visits seen by med-peds,

internal medicine, pediatric, and family physicians. RESULTS: Forty-three percent

of visits to med-peds physicians were from children < or = 18 years of age.

Compared with family physicians, med-peds physicians saw a higher proportion of

infants and toddlers < or = 2 years of age (21.0% versus 3.7%; P = .002) and

children < or = 18 years of age (42.9% versus 15.5%; P = .002), but they treated

fewer adults age 65 or older (13.8% versus 21.3%; P = .013). Compared with

internists, med-peds physicians saw a greater percentage of visits from adults 19

to 64 years of age (75.8% versus 61.2%) and fewer visits from patients age 65 or

older (24.2% versus 38.8%; P = .006). Med-peds physicians, like family physicians

and pediatricians, most commonly treated patients for acute problems and reported

high levels of continuity of care for patients-pediatric (93.6%) and adult

(94.6%). CONCLUSIONS: Med-peds physicians care for a considerable proportion of

pediatric patients while maintaining high levels of continuity of care for adult

and pediatric patients. Within their practices, med-peds physicians treat a

larger percentage of pediatric patients than do family physicians, but they see a

smaller percentage of elderly patients.

AD – Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard

Pilgrim Health Care, Boston, Massachusetts 02215, USA. rfortuna@post.harvard.edu

FAU – Fortuna, Robert J

AU – Fortuna RJ

FAU – Ting, David Y

AU – Ting DY

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Simon, Steven R

AU – Simon SR

LA – eng

GR – 5 T32 HP11001-18/PHS HHS/United States

PT – Journal Article

PT – Research Support, U.S. Gov’t, P.H.S.

PL – United States

TA – Acad Med

JT – Academic medicine : journal of the Association of American Medical Colleges

JID – 8904605

SB – AIM

SB – IM

MH – Adolescent

MH – Adult

MH – Age Distribution

MH – Aged

MH – Ambulatory Care/*organization & administration/statistics & numerical data

MH – Child, Preschool

MH – Health Care Surveys

MH – Humans

MH – Infant

MH – Internal Medicine/*organization & administration/statistics & numerical data

MH – Middle Aged

MH – Office Visits/statistics & numerical data

MH – Pediatrics/*organization & administration/statistics & numerical data

MH – Primary Health Care/*organization & administration/statistics & numerical data

MH – Professional Practice/*organization & administration/statistics & numerical data

MH – United States

MH – Young Adult

EDAT- 2009/02/26 09:00

MHDA- 2009/04/01 09:00

CRDT- 2009/02/26 09:00

AID – 10.1097/ACM.0b013e3181970bb9 [doi]

AID – 00001888-200903000-00032 [pii]

PST – ppublish

SO – Acad Med. 2009 Mar;84(3):396-401. doi: 10.1097/ACM.0b013e3181970bb9.

 

PMID- 19117837

OWN – NLM

STAT- MEDLINE

DA – 20090101

DCOM- 20090206

IS – 1098-4275 (Electronic)

IS – 0031-4005 (Linking)

VI – 123

IP – 1

DP – 2009 Jan

TI – Trends in the diagnosis of overweight and obesity in children and adolescents:

1999-2007.

PG – e153-8

LID – 10.1542/peds.2008-1408 [doi]

AB – OBJECTIVE: Pediatric overweight and obesity are increasingly prevalent problems

and have received much attention in recent years, but it is unclear whether this

publicity has affected diagnosis by clinicians. We undertook the current study to

assess trends in diagnosis rates of overweight and obesity in children. PATIENTS

AND METHODS: We analyzed electronic medical record data from 60711 patients aged

2 through 18 years with at least 1 well-child visit between June 1999 and October

2007 in a large academic medical system in northeast Ohio. Diagnosis of weight

problems among children classified as overweight and obese was assessed by using

International Classification of Diseases, Ninth Revision codes. Logistic

regression was used to examine the impact of patient characteristics on diagnosis

and to investigate trends over the study period. RESULTS: On retrospective review

of BMI measurements recorded for patients during the study period, 19% of the

children were overweight, 23% were obese, and 8% (33% of the obese patients) were

severely obese; among these, 10% of overweight patients, 54% of obese patients,

and 76% of severely obese patients had their conditions diagnosed. BMI, age, and

number of overweight visits were positively associated with diagnosis. Female

patients were more likely to have been diagnosed than male patients. Black and

Hispanic patients were more likely to have been diagnosed than white patients.

There was a statistically significant trend toward increasing diagnosis during

the study period, although the percentage of patients diagnosed per year seemed

to plateau or decrease after 2005. CONCLUSIONS: Although clear BMI definitions of

pediatric weight problems exist, a large percentage of overweight and obese

patients remain undiagnosed. Diagnosis increased during the study period but

remained low among overweight children, for whom early intervention may be more

effective. Identification of overweight and obese patients is the first step in

addressing this growing epidemic.

AD – School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.

FAU – Benson, Lacey

AU – Benson L

FAU – Baer, Heather J

AU – Baer HJ

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Comparative Study

PT – Journal Article

PL – United States

TA – Pediatrics

JT – Pediatrics

JID – 0376422

SB – AIM

SB – IM

MH – Adolescent

MH – Body Mass Index

MH – Body Weight/physiology

MH – Child

MH – Child, Preschool

MH – Cohort Studies

MH – Delivery of Health Care/standards/*trends

MH – Female

MH – Humans

MH – Male

MH – Medical Records Systems, Computerized/standards/trends

MH – Obesity/*diagnosis/epidemiology/physiopathology

MH – Overweight/diagnosis/epidemiology/physiopathology

MH – Retrospective Studies

EDAT- 2009/01/02 09:00

MHDA- 2009/02/07 09:00

CRDT- 2009/01/02 09:00

AID – 123/1/e153 [pii]

AID – 10.1542/peds.2008-1408 [doi]

PST – ppublish

SO – Pediatrics. 2009 Jan;123(1):e153-8. doi: 10.1542/peds.2008-1408.

 

PMID- 18999276

OWN – NLM

STAT- MEDLINE

DA – 20081112

DCOM- 20100108

LR – 20130612

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2008

TI – The value of personal health record (PHR) systems.

PG – 343-7

AB – Personal health records (PHRs) are a rapidly growing area of health information

technology despite a lack of significant value-based assessment.Here we present

an assessment of the potential value of PHR systems, looking at both costs and

benefits.We examine provider-tethered, payer-tethered, and third-party PHRs, as

well as idealized interoperable PHRs. An analytical model was developed that

considered eight PHR application and infrastructure functions. Our analysis

projects the initial and annual costs and annual benefits of PHRs to the entire

US over the next 10 years.This PHR analysis shows that all forms of PHRs have

initial net negative value. However, at the end of 10 years, steady state annual

net value ranging from$13 billion to -$29 billion. Interoperable PHRs provide the

most value, followed by third-party PHRs and payer-tethered PHRs also showing

positive net value. Provider-tethered PHRs constantly demonstrating negative net

value.

AD – Center for Information Technology Leadership (CITL), Partners HealthCare System,

Boston, MA, USA.

FAU – Kaelber, David

AU – Kaelber D

FAU – Pan, Eric C

AU – Pan EC

LA – eng

PT – Journal Article

PT – Research Support, Non-U.S. Gov’t

DEP – 20081106

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Cost-Benefit Analysis

MH – Health Care Costs/*statistics & numerical data

MH – Health Records, Personal/*economics

MH – Medical Records Systems, Computerized/*economics

MH – *Models, Economic

MH – United States

PMC – PMC2655982

OID – NLM: PMC2655982

EDAT- 2008/11/13 09:00

MHDA- 2010/01/09 06:00

CRDT- 2008/11/13 09:00

PHST- 2008/03/14 [received]

PHST- 2008/07/16 [revised]

PST – epublish

SO – AMIA Annu Symp Proc. 2008 Nov 6:343-7.

 

PMID- 18998988

OWN – NLM

STAT- MEDLINE

DA – 20081112

DCOM- 20100108

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2008

TI – A cost model for personal health records (PHRs).

PG – 657-61

AB – Personal health records (PHRs) are a rapidly expanding area in medical

informatics due to the belief that they may improve healthcare delivery and

control costs of care. To truly understand the full potential value of a

technology, a cost analysis is critical.However, little evidence exists on the

value potential of PHRs, and a cost model for PHRs does not currently exist in

the literature.This paper presents a sample cost model for PHR systems, which

include PHR infrastructure and applications. We used this model to examine the

costs of provider-tethered, payer-tethered, third-party, and interoperable PHRs.

Our model projects that on a per-person basis, third-party PHRs will be the most

expensive followed by inter operable PHRs, and then provider-tethered PHRs and

payer-tethered PHRs are the least expensive. Data interfaces are a major cost

driver, thus these findings underscore the need for standards development and use

in the implementation ofPHR systems.

AD – Center for Information Technology Leadership (CITL), Harvard Medical School,

Boston, MA, USA.

FAU – Shah, Sapna

AU – Shah S

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Vincent, Adam

AU – Vincent A

FAU – Pan, Eric C

AU – Pan EC

FAU – Johnston, Douglas

AU – Johnston D

FAU – Middleton, Blackford

AU – Middleton B

LA – eng

PT – Journal Article

PT – Research Support, Non-U.S. Gov’t

DEP – 20081106

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Computer Simulation

MH – Health Care Costs/*statistics & numerical data

MH – Massachusetts

MH – Medical Records Systems, Computerized/*economics

MH – *Models, Economic

PMC – PMC2656035

OID – NLM: PMC2656035

EDAT- 2008/11/13 09:00

MHDA- 2010/01/09 06:00

CRDT- 2008/11/13 09:00

PHST- 2008/03/14 [received]

PHST- 2008/07/16 [revised]

PST – epublish

SO – AMIA Annu Symp Proc. 2008 Nov 6:657-61.

 

PMID- 18998912

OWN – NLM

STAT- MEDLINE

DA – 20081112

DCOM- 20100108

LR – 20130604

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2008

TI – A patient-centric taxonomy for personal health records (PHRs).

PG – 763-7

AB – Today, the nascent field of personal health records (PHRs) lacks a comprehensive

taxonomy that encompasses the full range of PHRs currently in existence and what

may be possible. The Center for Information Technology Leadership (CITL) has

created a taxonomy that broadly defines a PHR as having both an infrastructure

component, which allows for data viewing and sharing, and an application

component, allowing for self-management and information exchange. The taxonomy

also accounts for different PHR architectures provider, payer, third-party, or

interoperable. This comprehensive taxonomy may help to define the field of PHRs

and provide a framework for assessing PHR value.

AD – Center for Information Technology Leadership (CITL), Partners HealthCare System,

Harvard Medical School, Boston, MA, USA.

FAU – Vincent, Adam

AU – Vincent A

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Pan, Eric

AU – Pan E

FAU – Shah, Sapna

AU – Shah S

FAU – Johnston, Douglas

AU – Johnston D

FAU – Middleton, Blackford

AU – Middleton B

LA – eng

PT – Journal Article

PT – Research Support, Non-U.S. Gov’t

DEP – 20081106

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Algorithms

MH – Artificial Intelligence

MH – Forms and Records Control/methods/*organization & administration

MH – *Health Records, Personal

MH – Information Storage and Retrieval/methods

MH – Massachusetts

MH – Medical History Taking/methods

MH – Medical Records Systems, Computerized/*organization & administration

MH – Natural Language Processing

MH – Patient-Centered Care/methods/*organization & administration

MH – Pattern Recognition, Automated/*methods

MH – *Subject Headings

PMC – PMC2656090

OID – NLM: PMC2656090

EDAT- 2008/11/13 09:00

MHDA- 2010/01/09 06:00

CRDT- 2008/11/13 09:00

PHST- 2008/03/13 [received]

PHST- 2008/07/16 [revised]

PST – epublish

SO – AMIA Annu Symp Proc. 2008 Nov 6:763-7.

 

PMID- 18756002

OWN – NLM

STAT- MEDLINE

DA – 20081103

DCOM- 20081209

LR – 20130605

IS – 1067-5027 (Print)

IS – 1067-5027 (Linking)

VI – 15

IP – 6

DP – 2008 Nov-Dec

TI – A research agenda for personal health records (PHRs).

PG – 729-36

LID – 10.1197/jamia.M2547 [doi]

AB – Patients, policymakers, providers, payers, employers, and others have increasing

interest in using personal health records (PHRs) to improve healthcare costs,

quality, and efficiency. While organizations now invest millions of dollars in

PHRs, the best PHR architectures, value propositions, and descriptions are not

universally agreed upon. Despite widespread interest and activity, little PHR

research has been done to date, and targeted research investment in PHRs appears

inadequate. The authors reviewed the existing PHR specific literature (100

articles) and divided the articles into seven categories, of which four in

particular–evaluation of PHR functions, adoption and attitudes of healthcare

providers and patients towards PHRs, PHR related privacy and security, and PHR

architecture–present important research opportunities. We also briefly discuss

other research related to PHRs, PHR research funding sources, and PHR business

models. We believe that additional PHR research can increase the likelihood that

future PHR system deployments will beneficially impact healthcare costs, quality,

and efficiency.

AD – Partners HealthCare Information Systems, Boston MA, USA. david.kaelber@case.edu

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Jha, Ashish K

AU – Jha AK

FAU – Johnston, Douglas

AU – Johnston D

FAU – Middleton, Blackford

AU – Middleton B

FAU – Bates, David W

AU – Bates DW

LA – eng

PT – Journal Article

DEP – 20080828

PL – United States

TA – J Am Med Inform Assoc

JT – Journal of the American Medical Informatics Association : JAMIA

JID – 9430800

SB – IM

MH – Attitude to Health

MH – Confidentiality

MH – *Health Services Research

MH – Humans

MH – Medical Records

MH – *Medical Records Systems, Computerized

MH – Patient Access to Records

MH – Patient Participation

PMC – PMC2585530

OID – NLM: PMC2585530

EDAT- 2008/08/30 09:00

MHDA- 2008/12/17 09:00

CRDT- 2008/08/30 09:00

PHST- 2008/08/28 [aheadofprint]

AID – M2547 [pii]

AID – 10.1197/jamia.M2547 [doi]

PST – ppublish

SO – J Am Med Inform Assoc. 2008 Nov-Dec;15(6):729-36. doi: 10.1197/jamia.M2547. Epub

2008 Aug 28.

 

PMID- 18694241

OWN – NLM

STAT- MEDLINE

DA – 20080812

DCOM- 20081118

LR – 20090309

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2007

TI – A new taxonomy for telehealth technologies.

PG – 1145

AB – Today, the field of telehealth lacks a comprehensive taxonomy that reflects the

variety of remote interactions, technologies used, and personnel involved. The

Center for Information Technology Leadership (CITL) has created a taxonomy that

categorizes telehealth around four factors: type of telehealth interaction,

location of the controlling medical authority, urgency of care, and timing of

communication. This comprehensive taxonomy may help to define the field of

telehealth and may help with adoption, research, and reimbursement.

AD – Center for Information Technology Leadership (CITL), Partners HealthCare System,

Boston, MA, USA.

FAU – Vincent, Adam

AU – Vincent A

FAU – Cusack, Caitlin M

AU – Cusack CM

FAU – Pan, Eric

AU – Pan E

FAU – Hook, Julie M

AU – Hook JM

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Middleton, Blackford

AU – Middleton B

LA – eng

PT – Journal Article

DEP – 20071011

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Telemedicine/*classification

MH – Terminology as Topic

EDAT- 2008/08/13 09:00

MHDA- 2008/11/19 09:00

CRDT- 2008/08/13 09:00

PHST- 2007/03/15 [received]

PHST- 2007/07/31 [revised]

PHST- 2007/10/11 [accepted]

PST – epublish

SO – AMIA Annu Symp Proc. 2007 Oct 11:1145.

 

PMID- 18694099

OWN – NLM

STAT- MEDLINE

DA – 20080812

DCOM- 20081118

LR – 20090309

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2007

TI – Ambulatory electronic medical record payback analysis 7 years after

implementation in a tertiary care county medical system.

PG – 1000

AB – Electronic medical records (EMRs) are gaining increasing prominence in

healthcare, however still have low market penetration. EMR implementation cost is

a primary perceived barrier. Here we present a payback analysis on an outpatient

EMR implementation, showing capital expense recovery (net of operating costs) at

6 years and now generating $6 million yearly in direct savings for our healthcare

system.

AD – Center for Information Technology Leadership (CITL), Partners HealthCare System

andHarvard Medical School, Boston, MA, USA.

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Miller, Vince

AU – Miller V

FAU – Fisher, Nancy

AU – Fisher N

FAU – Schlesinger, Jim

AU – Schlesinger J

FAU – Norris, Greg

AU – Norris G

LA – eng

PT – Journal Article

DEP – 20071011

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Academic Medical Centers/economics

MH – Capital Expenditures

MH – Medical Records Systems, Computerized/*economics

MH – Organizational Case Studies

MH – Organizational Innovation/economics

EDAT- 2008/08/13 09:00

MHDA- 2008/11/19 09:00

CRDT- 2008/08/13 09:00

PHST- 2007/03/15 [received]

PHST- 2007/07/31 [revised]

PHST- 2007/10/11 [accepted]

PST – epublish

SO – AMIA Annu Symp Proc. 2007 Oct 11:1000.

 

PMID- 18694066

OWN – NLM

STAT- MEDLINE

DA – 20080812

DCOM- 20081118

LR – 20090309

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2007

TI – Underdiagnosis of pediatric hypertension-an example of a new era of clinical

research enabled by electronic medical records.

PG – 966

AB – Previously, large scale clinical research required large budgets, significant

staff, and long periods of time. Typically most of these resources were spent on

data collection to develop electronic research databases. With the proliferation

of electronic medical records this clinical research paradigm changes. Here we

present a large clinical study of pediatric hypertension (14,187 patients)

conducted through an electronic medical record without any budget and within

about 70 hours over 6 months.

AD – Case Western Reserve University, Cleveland, OH, USA.

FAU – Gunn, Paul W

AU – Gunn PW

FAU – Hansen, Matthew L

AU – Hansen ML

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Journal Article

DEP – 20071011

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Biomedical Research/*methods

MH – Child

MH – Diagnostic Errors

MH – Humans

MH – Hypertension/*diagnosis

MH – Information Storage and Retrieval

MH – *Medical Records Systems, Computerized

MH – Practice Guidelines as Topic

MH – Retrospective Studies

EDAT- 2008/08/13 09:00

MHDA- 2008/11/19 09:00

CRDT- 2008/08/13 09:00

PHST- 2007/03/15 [received]

PHST- 2007/07/31 [revised]

PHST- 2007/10/11 [accepted]

PST – epublish

SO – AMIA Annu Symp Proc. 2007 Oct 11:966.

 

PMID- 18693861

OWN – NLM

STAT- MEDLINE

DA – 20080812

DCOM- 20081118

LR – 20091118

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2007

TI – A framework and approach for assessing the value of personal health records

(PHRs).

PG – 374-8

AB – Personal Health Records (PHRs) are a rapidly expanding area of medical

informatics due to the belief that they may improve health care delivery and

control costs of care. The PHRs in use or in development today support a myriad

of different functions, and consequently offer different value propositions. A

comprehensive value analysis of PHRs has never been conducted; such analysis is

needed to identify those PHR functions that yield the greatest value to PHR

stakeholders. Here we present a framework that could serve as a foundation for

determining the value of PHR functions and thereby help optimize PHR development.

While the value framework is specific to the domain of PHRs, the authors have

successfully applied the associated evaluation methodology in assessing other

health care information technologies.

AD – Center for Information Technology Leadership (CITL), Partners HealthCare System,

Boston, MA, USA.

FAU – Johnston, Douglas

AU – Johnston D

FAU – Kaelber, David

AU – Kaelber D

FAU – Pan, Eric C

AU – Pan EC

FAU – Bu, Davis

AU – Bu D

FAU – Shah, Sapna

AU – Shah S

FAU – Hook, Julie M

AU – Hook JM

FAU – Middleton, Blackford

AU – Middleton B

LA – eng

PT – Journal Article

DEP – 20071011

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Communication

MH – Decision Support Techniques

MH – Humans

MH – *Medical Records

MH – *Medical Records Systems, Computerized

MH – Patient Access to Records

MH – Patient Participation

MH – Self Care

PMC – PMC2655849

OID – NLM: PMC2655849

EDAT- 2008/08/13 09:00

MHDA- 2008/11/19 09:00

CRDT- 2008/08/13 09:00

PHST- 2007/03/15 [received]

PHST- 2007/07/20 [revised]

PHST- 2007/10/11 [accepted]

PST – epublish

SO – AMIA Annu Symp Proc. 2007 Oct 11:374-8.

 

PMID- 18578679

OWN – NLM

STAT- MEDLINE

DA – 20080626

DCOM- 20080717

IS – 1556-3669 (Electronic)

IS – 1530-5627 (Linking)

VI – 14

IP – 5

DP – 2008 Jun

TI – The value of provider-to-provider telehealth.

PG – 446-53

LID – 10.1089/tmj.2008.0017 [doi]

AB – Telehealth has great potential to improve access to care, but its adoption in

routine healthcare has been slow. The lack of clarity about the value of

telehealth implementations has been one reason cited for this slow adoption. The

Center for Information Technology Leadership has examined the value of telehealth

encounters in which there is a provider both with the patient and at a distance

from the patient. We considered three models of telehealth: store-and-forward,

real-time video, and hybrid systems. Evidence from the literature was

extrapolated using a computer simulation, which found that the hybrid model was

the most cost effective. The simulation predicted savings of $4.3 billion per

year if hybrid telehealth systems were implemented in emergency rooms, prisons,

nursing home facilities, and physician offices across the United States. We also

conducted a sensitivity analysis to determine which factors most influence costs

and savings. Payers, providers, and policymakers should work together to remove

the barriers to the adoption of telehealth so that this cost savings can be

realized in the U.S. healthcare system.

AD – Division of General Medicine and Primary Care, Brigham and Women’s Hospital,

Harvard Medical School, Boston, Massachussetts, USA. epan@partners.org

FAU – Pan, Eric

AU – Pan E

FAU – Cusack, Caitlin

AU – Cusack C

FAU – Hook, Julie

AU – Hook J

FAU – Vincent, Adam

AU – Vincent A

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Bates, David W

AU – Bates DW

FAU – Middleton, Blackford

AU – Middleton B

LA – eng

PT – Journal Article

PT – Review

PL – United States

TA – Telemed J E Health

JT – Telemedicine journal and e-health : the official journal of the American

Telemedicine Association

JID – 100959949

SB – IM

MH – Computer Simulation

MH – Cost-Benefit Analysis

MH – *Diffusion of Innovation

MH – *Health Personnel

MH – Humans

MH – *Telemedicine

MH – United States

RF – 40

EDAT- 2008/06/27 09:00

MHDA- 2008/07/18 09:00

CRDT- 2008/06/27 09:00

AID – 10.1089/tmj.2008.0017 [doi]

PST – ppublish

SO – Telemed J E Health. 2008 Jun;14(5):446-53. doi: 10.1089/tmj.2008.0017.

 

PMID- 18534947

OWN – NLM

STAT- MEDLINE

DA – 20080606

DCOM- 20081014

IS – 1357-633X (Print)

IS – 1357-633X (Linking)

VI – 14

IP – 4

DP – 2008

TI – The value proposition in the widespread use of telehealth.

PG – 167-8

LID – 10.1258/jtt.2007.007043 [doi]

AB – Telehealth has great potential to improve access to care but its adoption in

routine health care has been slow. The lack of clarity about the value of

telehealth implementations has been one reason cited for this slow adoption. The

Center for Information Technology Leadership has examined the value of telehealth

encounters in which there is a provider both with the patient and at a distance

from the patient. We considered three models of telehealth: store-and-forward,

real-time video and hybrid systems. Evidence from the literature was extrapolated

using a simulation, which found that the hybrid model was the most cost-effective

of the three. The simulation predicted savings of $4.3 billion per year if hybrid

telehealth systems were to be implemented in emergency rooms, prisons, nursing

home facilities and physician offices across the US. We also conducted a

sensitivity analysis to determine which factors most affected costs and savings.

For all three telehealth models, the highest sensitivities were to the cost of a

face-to-face visit, the cost of a telehealth visit and the success rate of a

telehealth visit, i.e. the proportion of telehealth visits that avoided the need

for a face-to-face visit. Payers, providers and policy-makers should work

together to remove the barriers to the adoption of telehealth in order to make it

widely available to all.

AD – Center for IT Leadership, Partners HealthCare, One Constitution Center,

Charlestown, MA 02129, USA.

FAU – Cusack, Caitlin M

AU – Cusack CM

FAU – Pan, Eric

AU – Pan E

FAU – Hook, Julie M

AU – Hook JM

FAU – Vincent, Adam

AU – Vincent A

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Middleton, Blackford

AU – Middleton B

LA – eng

PT – Journal Article

PL – England

TA – J Telemed Telecare

JT – Journal of telemedicine and telecare

JID – 9506702

SB – IM

MH – Cost-Benefit Analysis

MH – Delivery of Health Care/*economics/trends

MH – Diffusion of Innovation

MH – Health Services Accessibility/*economics/standards

MH – Humans

MH – Models, Statistical

MH – Telemedicine/*economics/instrumentation

MH – United States

EDAT- 2008/06/07 09:00

MHDA- 2008/10/15 09:00

CRDT- 2008/06/07 09:00

AID – 14/4/167 [pii]

AID – 10.1258/jtt.2007.007043 [doi]

PST – ppublish

SO – J Telemed Telecare. 2008;14(4):167-8. doi: 10.1258/jtt.2007.007043.

 

PMID- 17950041

OWN – NLM

STAT- MEDLINE

DA – 20071120

DCOM- 20080104

IS – 1532-0480 (Electronic)

IS – 1532-0464 (Linking)

VI – 40

IP – 6 Suppl

DP – 2007 Dec

TI – Health information exchange and patient safety.

PG – S40-5

AB – One of the most promising advantages for health information exchange (HIE) is

improved patient safety. Up to 18% of the patient safety errors generally and as

many as 70% of adverse drug events could be eliminated if the right information

about the right patient is available at the right time. Health information

exchange makes this possible. Here we present an overview of six different ways

in which HIE can improve patient safety-improved medication information

processing, improved laboratory information processing, improved radiology

information processing, improved communication among providers, improved

communication between patients and providers, and improved public health

information processing. Within the area of improved medication information

processing we discuss drug-allergy information processing, drug-dose information

processing, drug-drug information processing, drug-diagnosis information

processing, and drug-gene information processing. We also briefly discuss HIE and

decreased patient safety as well as standards and completeness of information for

HIE and patient safety.

AD – Center for Information Technology Leadership and Clinical and Quality Analysis,

Division of General Medicine and Primary Care, Department of Medicine, Brigham

and Women’s Hospital, Harvard Medical School, MA 02115, USA.

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Bates, David W

AU – Bates DW

LA – eng

PT – Journal Article

PT – Review

DEP – 20070907

PL – United States

TA – J Biomed Inform

JT – Journal of biomedical informatics

JID – 100970413

SB – IM

MH – *Consumer Product Safety

MH – Information Dissemination/*methods

MH – Information Systems/*organization & administration

MH – Medical Informatics/*methods/*organization & administration

MH – *Patient Rights

MH – Program Evaluation/*methods

MH – United States

RF – 61

EDAT- 2007/10/24 09:00

MHDA- 2008/01/05 09:00

CRDT- 2007/10/24 09:00

PHST- 2007/08/15 [received]

PHST- 2007/08/16 [accepted]

PHST- 2007/09/07 [aheadofprint]

AID – S1532-0464(07)00090-1 [pii]

AID – 10.1016/j.jbi.2007.08.011 [doi]

PST – ppublish

SO – J Biomed Inform. 2007 Dec;40(6 Suppl):S40-5. Epub 2007 Sep 7.

 

PMID- 17889081

OWN – NLM

STAT- MEDLINE

DA – 20070924

DCOM- 20071009

LR – 20091119

IS – 1097-6833 (Electronic)

IS – 0022-3476 (Linking)

VI – 151

IP – 4

DP – 2007 Oct

TI – The effect of dual training in internal medicine and pediatrics on the career

path and job search experience of pediatric graduates.

PG – 419-24

AB – OBJECTIVE: To compare the job search experience and career plans of

medicine-pediatrics (med-peds) and pediatric residents. STUDY DESIGN: Annual

surveys of graduating med-peds and pediatric residents were compared from 2003

and 2004. RESULTS: The survey response rates were 58% for med-peds residents (n =

427) and 61% for pediatric residents (n = 611). Pediatric residents were more

likely to be female or an International Medical Graduate. The groups were equally

satisfied with their career choice and had equivalent debt. Med-peds residents

were more likely to seek and accept generalist and hospitalist positions.

Pediatric residents were more likely to seek subspecialty careers and research

opportunities. More than 94% of med-peds residents expected to care for pediatric

patients. Among residents seeking generalist positions, med-peds residents sent

half as many applications to get the same number of interviews and offers as

pediatric residents, were more likely to be offered their most desired position,

and were more likely to accept a position in a rural area/small town. Med-peds

residents had substantially greater starting salaries as hospitalists or

generalists compared with pediatric residents. CONCLUSION: Med-peds and pediatric

trainees differ in their career plans, although primary care is their most

popular choice. Med-peds- trained physicians have an easier job search experience

and greater market valuation.

AD – Department of Internal Medicine, University of Rochester, Rochester, NY, USA.

jkenneth@rochester.rr.com

FAU – Chamberlain, John K

AU – Chamberlain JK

FAU – Cull, William L

AU – Cull WL

FAU – Melgar, Tom

AU – Melgar T

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Kan, Brian D

AU – Kan BD

LA – eng

PT – Comparative Study

PT – Journal Article

DEP – 20070823

PL – United States

TA – J Pediatr

JT – The Journal of pediatrics

JID – 0375410

SB – AIM

SB – IM

CIN – J Pediatr. 2007 Oct;151(4):338-9. PMID: 17889064

MH – Adult

MH – *Career Choice

MH – Fellowships and Scholarships

MH – Female

MH – Health Care Surveys

MH – Humans

MH – Internal Medicine/*education

MH – *Internship and Residency

MH – Male

MH – Medicine

MH – Pediatrics/*education

MH – *Personnel Selection

MH – Salaries and Fringe Benefits

MH – Specialization

MH – United States

EDAT- 2007/09/25 09:00

MHDA- 2007/10/10 09:00

CRDT- 2007/09/25 09:00

PHST- 2006/12/14 [received]

PHST- 2007/03/12 [revised]

PHST- 2007/04/26 [accepted]

PHST- 2007/08/23 [aheadofprint]

AID – S0022-3476(07)00441-6 [pii]

AID – 10.1016/j.jpeds.2007.04.064 [doi]

PST – ppublish

SO – J Pediatr. 2007 Oct;151(4):419-24. Epub 2007 Aug 23.

 

PMID- 17712071

OWN – NLM

STAT- MEDLINE

DA – 20070822

DCOM- 20070824

LR – 20080313

IS – 1538-3598 (Electronic)

IS – 0098-7484 (Linking)

VI – 298

IP – 8

DP – 2007 Aug 22

TI – Underdiagnosis of hypertension in children and adolescents.

PG – 874-9

AB – CONTEXT: Pediatric hypertension is increasing in prevalence with the pediatric

obesity epidemic. Diagnosis of hypertension in children is complicated because

normal and abnormal blood pressure values vary with age, sex, and height and are

therefore difficult to remember. OBJECTIVES: To determine the frequency of

undiagnosed hypertension and prehypertension and to identify patient factors

associated with this underdiagnosis. DESIGN, SETTING, AND PARTICIPANTS: A cohort

study of 14,187 children and adolescents aged 3 to 18 years who were observed at

least 3 times for well-child care between June 1999 and September 2006 in the

outpatient clinics in a large academic urban medical system in northeast Ohio.

For children and adolescents who met criteria for hypertension or prehypertension

at 3 or more well-child care visits, the proportion with a hypertension-related

International Classification of Diseases, Ninth Revision code in the diagnoses

list, problem list, or past medical history list of any visit was determined.

MAIN OUTCOME MEASURES: Proportion of children and adolescents with 3 or more

elevated age-adjusted and height-adjusted blood pressure measurements at

well-child care visits and with a diagnosis of hypertension or prehypertension

documented in the electronic medical record. Multivariate logistic regression

identified patient factors associated with a correct diagnosis. RESULTS: Of 507

children and adolescents (3.6%) who had hypertension, 131 (26%) had a diagnosis

of hypertension or elevated blood pressure documented in the electronic medical

record. Patient factors that increased the adjusted odds of a correct diagnosis

were a 1-year increase in age over age 3 (odds ratio [OR], 1.09; 95% confidence

interval [CI], 1.03-1.16), number of elevated blood pressure readings beyond 3

(OR, 1.77; 95% CI, 1.21-2.57), increase of 1% in height-for-age percentile (OR,

1.02; 95% CI, 1.01-1.03), having an obesity-related diagnosis (OR, 2.61; 95% CI,

1.49-4.55), and number of blood pressure readings in the stage 2 hypertension

range (OR, 1.68; 95% CI, 1.29-2.19). Of 485 children and adolescents (3.4%) who

had prehypertension, 55 (11%) had an appropriate diagnosis documented in the

electronic medical record. Patient factors that increased the adjusted odds of

being diagnosed with prehypertension included a 1-year increase in age over age 3

(OR, 1.21; 95% CI, 1.09-1.34) and number of elevated blood pressure readings

beyond 3 (OR, 3.07; 95% CI, 2.20-4.28). CONCLUSIONS: Hypertension and

prehypertension were frequently undiagnosed in this pediatric population. Patient

age, height, obesity-related diagnoses, and magnitude and frequency of abnormal

blood pressure readings all increased the odds of diagnosis.

AD – School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.

FAU – Hansen, Matthew L

AU – Hansen ML

FAU – Gunn, Paul W

AU – Gunn PW

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Journal Article

PL – United States

TA – JAMA

JT – JAMA : the journal of the American Medical Association

JID – 7501160

SB – AIM

SB – IM

CIN – Nat Clin Pract Cardiovasc Med. 2008 Mar;5(3):128-9. PMID: 18059382

CIN – JAMA. 2008 Jan 9;299(2):168; author reply 168-9. PMID: 18182597

MH – Adolescent

MH – Blood Pressure

MH – Child

MH – Child, Preschool

MH – Cohort Studies

MH – Female

MH – Humans

MH – Hypertension/*diagnosis/epidemiology

MH – Logistic Models

MH – Male

MH – Reference Values

MH – Risk Factors

EDAT- 2007/08/23 09:00

MHDA- 2007/08/25 09:00

CRDT- 2007/08/23 09:00

AID – 298/8/874 [pii]

AID – 10.1001/jama.298.8.874 [doi]

PST – ppublish

SO – JAMA. 2007 Aug 22;298(8):874-9.

 

PMID- 17272092

OWN – NLM

STAT- PubMed-not-MEDLINE

DA – 20070202

DCOM- 20070918

IS – 1557-170X (Print)

IS – 1557-170X (Linking)

VI – 3

DP – 2004

TI – The next generation EKG–in vivo demonstration of noninvasive

electrocardiographic imaging during normal sinus rhythm.

PG – 1933-6

AB – Noninvasive, in vivo, reconstruction of epicardial electrical activity is needed

to help better study, understand, and treat electrical rhythm abnormalities.

Here, a new method for noninvasive electrocardiographic imaging is used to

reconstruct epicardial potentials in vivo during normal sinus rhythm. This method

used measured body surface potentials (BSPMs) and the relative geometry between

the body surface and epicardial surface from computed tomography (CT) to

reconstruct in vivo epicardial potentials during normal sinus rhythm. The

reconstructed epicardial potentials correlated qualitatively with those expected

for various aspects of normal sinus rhythm (NSR). This study shows that

noninvasively reconstructed epicardial potentials could provide useful

information on the electrical activity of the heart during normal activation and

repolarization sequences not otherwise available.

AD – Department of Internal Medicine, Case Western Reserve University, Cleveland, OH,

USA.

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Journal Article

PL – United States

TA – Conf Proc IEEE Eng Med Biol Soc

JT – Conference proceedings : … Annual International Conference of the IEEE

Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and

Biology Society. Conference

JID – 101243413

EDAT- 2007/02/03 09:00

MHDA- 2007/02/03 09:01

CRDT- 2007/02/03 09:00

AID – 10.1109/IEMBS.2004.1403572 [doi]

PST – ppublish

SO – Conf Proc IEEE Eng Med Biol Soc. 2004;3:1933-6.

 

PMID- 17238608

OWN – NLM

STAT- MEDLINE

DA – 20070122

DCOM- 20070928

LR – 20090309

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2006

TI – Assessing medical informatics confidence among 1st and 2nd year medical students.

PG – 989

AB – Currently no medical informatics curriculum is required at US medical schools. In

1998 the Association of American Medical Colleges (AAMC) Medical School

Objectives Project (MSOP) identified topics for inclusion in medical school

curriculum, categorized in five domains: Life-Long Learner, Clinician,

Educator/Communicator, Researcher, and Manager. Here we present the results of a

web-based survey of 1st and 2nd year medical students at Case Western Reserve

University (Case). The survey determined the perceived skills of 1st and 2nd year

students in the five domains of medical informatics as defined by the AAMC.

AD – Case Western Reserve University School of Medicine, Cleveland, OH, USA.

FAU – Krause, Nicholas D

AU – Krause ND

FAU – Roulette, G Dante

AU – Roulette GD

FAU – Papp, Klara K

AU – Papp KK

FAU – Kaelber, David

AU – Kaelber D

LA – eng

PT – Journal Article

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – *Computer Literacy

MH – Data Collection

MH – Education, Medical, Undergraduate

MH – Medical Informatics/*education

MH – Ohio

MH – Professional Competence

MH – Schools, Medical

MH – *Students, Medical

PMC – PMC1839636

OID – NLM: PMC1839636

EDAT- 2007/01/24 09:00

MHDA- 2007/09/29 09:00

CRDT- 2007/01/24 09:00

AID – 86056 [pii]

PST – ppublish

SO – AMIA Annu Symp Proc. 2006:989.

 

PMID- 17238461

OWN – NLM

STAT- MEDLINE

DA – 20070122

DCOM- 20070928

LR – 20130606

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2006

TI – Comparing perceptions and use of a commercial electronic medical record (EMR)

between primary care and subspecialty physicians.

PG – 841

AD – Case Western Reserve University, MetroHealth Medical Center, Cleveland, OH, USA.

FAU – Allareddy, Veerajalandhar

AU – Allareddy V

FAU – Allareddy, Veerasathpurush

AU – Allareddy V

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Comparative Study

PT – Journal Article

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Adult

MH – *Attitude of Health Personnel

MH – *Attitude to Computers

MH – Data Collection

MH – Humans

MH – *Medical Records Systems, Computerized

MH – Medicine

MH – Middle Aged

MH – Physicians, Family

MH – Specialization

PMC – PMC1839535

OID – NLM: PMC1839535

EDAT- 2007/01/24 09:00

MHDA- 2007/09/29 09:00

CRDT- 2007/01/24 09:00

AID – 86534 [pii]

PST – ppublish

SO – AMIA Annu Symp Proc. 2006:841.

 

PMID- 16779289

OWN – NLM

STAT- MEDLINE

DA – 20060616

DCOM- 20070215

LR – 20090309

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2005

TI – Evaluation of a commercial electronic medical record (EMR) by primary care

physicians 5 years after implementation.

PG – 1002

AB – Electronic medical records (EMRs) are gaining increasing prominence in the

delivery of healthcare, although the focus is primarily on deploying EMRs.

Relatively little research has studied the post-implementation of commercial

EMRs. Here we present the results of a web-based survey of all the primary care

clinicians in our university affiliated, tertiary care health system. The survey

evaluated primary care clinician demographics, usage, and ideas for enhancement

of the EpicCare EMR, five year after its initial deployment throughout our

healthcare system.

AD – Case Western Reserve University, MetroHealth Medical Center, Cleveland OH, USA.

FAU – Kaelber, David

AU – Kaelber D

FAU – Greco, Peter

AU – Greco P

FAU – Cebul, Randall D

AU – Cebul RD

LA – eng

PT – Evaluation Studies

PT – Journal Article

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Adult

MH – Attitude of Health Personnel

MH – *Attitude to Computers

MH – Data Collection

MH – Hospitals, University

MH – Humans

MH – Internal Medicine

MH – *Medical Records Systems, Computerized

MH – Medical Staff, Hospital

MH – Pediatrics

MH – Physicians, Family

MH – *Primary Health Care

PMC – PMC1560716

OID – NLM: PMC1560716

EDAT- 2006/06/17 09:00

MHDA- 2007/02/16 09:00

CRDT- 2006/06/17 09:00

AID – 58055 [pii]

PST – ppublish

SO – AMIA Annu Symp Proc. 2005:1002.

 

PMID- 16639198

OWN – NLM

STAT- MEDLINE

DA – 20060426

DCOM- 20060613

LR – 20071115

IS – 1040-2446 (Print)

IS – 1040-2446 (Linking)

VI – 81

IP – 5

DP – 2006 May

TI – Training experiences of U.S. combined internal medicine and pediatrics residents.

PG – 440-6

AB – PURPOSE: To investigate the demographics and training experiences of internal

medicine and pediatrics (med-peds) physicians. METHOD: A cross-sectional survey

addressing demographics, training experiences, and career plans of fourth-year

residents graduating from combined internal medicine and pediatrics programs that

were identified in the American Academy of Pediatrics database was initiated in

May 2003. Questionnaires were mailed up to four times to nonresponders through

August 2003. RESULTS: Valid responses were received from 212 of the 340

graduating residents (62% response rate). The majority (186/208 [89%]) reported

that they would choose med-peds training again. Career planning (135/210 [64%]),

office management (173/212 [82%]), and outpatient procedures (155/211 [73%]) were

the only areas where the majority desired more training. Neonatal intensive care

training was the only topic area that the majority of residents (142/212 [67%])

reported could have been carried out in less time. Nearly all residents (183/196

[93%]) planned to care for children and adults. Residents’ self-assessment of

their preparation was good to excellent for evidence-based medicine (192/210

[91%]), caring for patients with special health care needs (179/209 [86%]), and

use of information technology (169/208 [81%]). Residents felt equally well

prepared for postgraduate activities in internal medicine and pediatrics primary

care (170/212 [80%] versus 163/211 [77%], p = .305, NS) and internal medicine and

pediatric fellowships (186/207 [90%] versus 181/208 [87%], p = .058, NS). Only

112 of 209 residents (54%) felt their preparation for research was good to

excellent. CONCLUSIONS: The study findings suggest that med-peds residents are

satisfied with their decision to train in med-peds and with their level of

preparation. They feel equally well prepared to care for adults and children, and

well prepared to care for patients that may transition to adulthood with complex

needs, to assess evidence, and to use information technology.

AD – Michigan State University/Kalamazoo Center for Medical Studies, Kalamazoo,

Michigan, USA.

FAU – Melgar, Thomas

AU – Melgar T

FAU – Chamberlain, John K

AU – Chamberlain JK

FAU – Cull, William L

AU – Cull WL

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Kan, Brian D

AU – Kan BD

LA – eng

PT – Journal Article

PT – Research Support, Non-U.S. Gov’t

PL – United States

TA – Acad Med

JT – Academic medicine : journal of the Association of American Medical Colleges

JID – 8904605

SB – AIM

SB – IM

MH – Academic Medical Centers/*organization & administration

MH – Adult

MH – *Attitude of Health Personnel

MH – Career Choice

MH – Cross-Sectional Studies

MH – Data Collection

MH – Databases as Topic

MH – Female

MH – Humans

MH – Internal Medicine/*education

MH – Internship and Residency/*organization & administration

MH – Male

MH – Pediatrics/*education

MH – *Program Evaluation

MH – Questionnaires

MH – Time Factors

MH – United States

EDAT- 2006/04/28 09:00

MHDA- 2006/06/14 09:00

CRDT- 2006/04/28 09:00

AID – 10.1097/01.ACM.0000222276.83082.87 [doi]

AID – 00001888-200605000-00007 [pii]

PST – ppublish

SO – Acad Med. 2006 May;81(5):440-6.

 

PMID- 16291971

OWN – NLM

STAT- MEDLINE

DA – 20051118

DCOM- 20060302

LR – 20121115

IS – 0196-3635 (Print)

IS – 0196-3635 (Linking)

VI – 26

IP – 6

DP – 2005 Nov-Dec

TI – Combination therapy: medicated urethral system for erection enhances sexual

satisfaction in sildenafil citrate failure following nerve-sparing radical

prostatectomy.

PG – 757-60

AB – The objective of our study was to assess the effectiveness of combining medicated

urethral system for erection (MUSE) with sildenafil citrate in men unsatisfied

with the sildenafil alone. Baseline and follow-up data from 23 patients (mean

age, 62.5 +/- 5.23 years) unsatisfied with the use of the sildenafil citrate

alone for the treatment of erectile dysfunction following nerve-sparing radical

prostatectomy (mean use, 4 attempts/100-mg dose) was obtained. All patients

started oral sildenafil citrate more than 6 months after radical prostatectomy.

Combination therapy was initiated using 100 mg sildenafil citrate orally 1 hour

prior to intercourse. Patients used combination therapy for a minimum of 4

attempts prior to assessment with the Sexual Health Inventory of Men

(International Index for Erectile Function-5) and visual analog scale to gauge

rigidity (0-100). The effect of therapy on the total International Index for

Erectile Function (IIEF) score and penile rigidity score was assessed. Of the 23

patients, 4 (17%) had no improvement with the addition of medicated urethral

system for erection and discontinued the drug, while 19 (83%) reported

improvement with the penile rigidity and sexual satisfaction. The IIEF scores of

these 19 patients showed significant improvements in each sexual domain, and the

patients reported that erection was sufficient for vaginal penetration 80% of the

time. Rigidity scores on a scale of 0-100 with sildenafil alone averaged 38%

(23-53) for men and 46% (26-67) for their partners. With the addition of MUSE,

scores increased to 76% for men and 62% for their partners. We conclude that the

addition of MUSE to sildenafil improved sexual satisfaction and penile rigidity

in patients unsatisfied with sildenafil alone.

AD – Center for Advanced Research in Human Reproduction, Infertility, and Sexual

Function, Cleveland Clinic Foundation, OH 44105, USA. rraina@metrohealth.org

FAU – Raina, Rupesh

AU – Raina R

FAU – Nandipati, Kalyana C

AU – Nandipati KC

FAU – Agarwal, Ashok

AU – Agarwal A

FAU – Mansour, David

AU – Mansour D

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Zippe, Craig D

AU – Zippe CD

LA – eng

PT – Journal Article

PL – United States

TA – J Androl

JT – Journal of andrology

JID – 8106453

RN – 0 (Piperazines)

RN – 0 (Purines)

RN – 0 (Sulfones)

RN – 3M7OB98Y7H (sildenafil)

RN – 745-65-3 (Alprostadil)

SB – IM

MH – Alprostadil/administration & dosage/*therapeutic use

MH – Drug Therapy, Combination

MH – Erectile Dysfunction/*therapy

MH – Humans

MH – Male

MH – Penile Erection/*drug effects

MH – Piperazines/administration & dosage/*therapeutic use

MH – Prostatectomy/*adverse effects

MH – Prostatic Neoplasms/surgery

MH – Purines

MH – Sulfones

MH – Urethra/*drug effects

EDAT- 2005/11/18 09:00

MHDA- 2006/03/03 09:00

CRDT- 2005/11/18 09:00

AID – 26/6/757 [pii]

AID – 10.2164/jandrol.05035 [doi]

PST – ppublish

SO – J Androl. 2005 Nov-Dec;26(6):757-60.

 

PMID- 11346597

OWN – NLM

STAT- MEDLINE

DA – 20010510

DCOM- 20010531

LR – 20041117

IS – 1040-2446 (Print)

IS – 1040-2446 (Linking)

VI – 76

IP – 5

DP – 2001 May

TI – A Web-based clinical curriculum on the cardiac exam.

PG – 548-9

AD – Department of Internal Medicine, Metro Health Medical Center, Cleveland, OH

44109, USA. dck3@po.cwru.edu

FAU – Kaelber, D C

AU – Kaelber DC

FAU – Bierer, S B

AU – Bierer SB

FAU – Carter, J R

AU – Carter JR

LA – eng

PT – Evaluation Studies

PT – Journal Article

PL – United States

TA – Acad Med

JT – Academic medicine : journal of the Association of American Medical Colleges

JID – 8904605

SB – AIM

SB – IM

MH – Attitude of Health Personnel

MH – Cardiology/*education

MH – Clinical Competence/*standards

MH – Computer-Assisted Instruction/*methods

MH – *Curriculum

MH – Education, Medical, Undergraduate/*organization & administration

MH – Heart Diseases/*diagnosis

MH – Humans

MH – Internet/*organization & administration

MH – Ohio

MH – Physical Examination/*methods

MH – Program Evaluation

MH – Students, Medical/psychology

EDAT- 2001/05/11 10:00

MHDA- 2001/06/02 10:01

CRDT- 2001/05/11 10:00

PST – ppublish

SO – Acad Med. 2001 May;76(5):548-9.

 

PMID- 10355549

OWN – NLM

STAT- MEDLINE

DA – 19990715

DCOM- 19990715

LR – 20071114

IS – 0090-6964 (Print)

IS – 0090-6964 (Linking)

VI – 26

IP – 1

DP – 1998 Jan-Feb

TI – A field-compatible method for interpolating biopotentials.

PG – 37-47

AB – Mapping of bioelectric potentials over a given surface (e.g., the torso surface,

the scalp) often requires interpolation of potentials into regions of missing

data. Existing interpolation methods introduce significant errors when

interpolating into large regions of high potential gradients, due mostly to their

incompatibility with the properties of the three-dimensional (3D) potential

field. In this paper, an interpolation method, inverse-forward (IF)

interpolation, was developed to be consistent with Laplace’s equation that

governs the 3D field in the volume conductor bounded by the mapped surface. This

method is evaluated in an experimental heart-torso preparation in the context of

electrocardiographic body surface potential mapping. Results demonstrate that IF

interpolation is able to recreate major potential features such as a potential

minimum and high potential gradients within a large region of missing data. Other

commonly used interpolation methods failed to reconstruct major potential

features or preserve high potential gradients. An example of IF interpolation

with patient data is provided to illustrate its applicability in the actual

clinical setting. Application of IF interpolation in the context of noninvasive

reconstruction of epicardial potentials (the “inverse problem”) is also examined.

AD – Cardiac Bioelectricity Research and Training Center, Department of Biomedical

Engineering, Case Western Reserve University, Cleveland, OH 44106-7207, USA.

FAU – Burnes, J E

AU – Burnes JE

FAU – Kaelber, D C

AU – Kaelber DC

FAU – Taccardi, B

AU – Taccardi B

FAU – Lux, R L

AU – Lux RL

FAU – Ershler, P R

AU – Ershler PR

FAU – Rudy, Y

AU – Rudy Y

LA – eng

GR – GM-07535/GM/NIGMS NIH HHS/United States

GR – HL-33343/HL/NHLBI NIH HHS/United States

GR – HL-49054/HL/NHLBI NIH HHS/United States

GR – etc.

PT – Journal Article

PT – Research Support, Non-U.S. Gov’t

PT – Research Support, U.S. Gov’t, P.H.S.

PL – UNITED STATES

TA – Ann Biomed Eng

JT – Annals of biomedical engineering

JID – 0361512

SB – IM

MH – Action Potentials/physiology

MH – Animals

MH – Bias (Epidemiology)

MH – Body Surface Potential Mapping/instrumentation/*methods

MH – Child

MH – Dogs

MH – Humans

MH – Male

MH – *Numerical Analysis, Computer-Assisted/instrumentation

MH – Reproducibility of Results

MH – *Signal Processing, Computer-Assisted/instrumentation

EDAT- 1999/06/04

MHDA- 1999/06/04 00:01

CRDT- 1999/06/04 00:00

PST – ppublish

SO – Ann Biomed Eng. 1998 Jan-Feb;26(1):37-47.

 

PMID- 18166618

OWN – NLM

STAT- MEDLINE

DA – 20080101

DCOM- 20080604

IS – 1526-3347 (Electronic)

IS – 0191-9601 (Linking)

VI – 29

IP – 1

DP – 2008 Jan

TI – Index of suspicion.

PG – 25-30

AD – Christiana Care Health System, Newark, Del., USA.

FAU – Hall, Cherilyn

AU – Hall C

FAU – Friedland, Allen

AU – Friedland A

FAU – Sundar, Sumathi

AU – Sundar S

FAU – Torok, Kathryn S

AU – Torok KS

FAU – Bhende, Mananda S

AU – Bhende MS

FAU – Pecson, Grace

AU – Pecson G

FAU – Leedy, Carolyn

AU – Leedy C

LA – eng

PT – Case Reports

PT – Journal Article

PL – United States

TA – Pediatr Rev

JT – Pediatrics in review / American Academy of Pediatrics

JID – 8103046

SB – IM

MH – Abdomen, Acute/*etiology

MH – Adolescent

MH – Anoxia/*etiology

MH – Child

MH – Diagnosis, Differential

MH – Female

MH – Heart Defects, Congenital/*diagnosis

MH – Hematocolpos/*diagnosis

MH – Humans

MH – Hymen/*abnormalities

MH – Infant

MH – Intestinal Obstruction/*diagnosis

MH – Intestinal Volvulus/*diagnosis

MH – Intestines/*abnormalities

MH – Male

MH – Respiratory Insufficiency/*etiology

EDAT- 2008/01/02 09:00

MHDA- 2008/06/05 09:00

CRDT- 2008/01/02 09:00

AID – 29/1/25 [pii]

AID – 10.1542/pir.29-1-25 [doi]

PST – ppublish

SO – Pediatr Rev. 2008 Jan;29(1):25-30.

 

PMID- 17466661

OWN – NLM

STAT- MEDLINE

DA – 20070430

DCOM- 20070522

IS – 1555-7162 (Electronic)

IS – 0002-9343 (Linking)

VI – 120

IP – 5

DP – 2007 May

TI – Benchmarks for support of internal medicine-pediatrics programs.

PG – 462-5

AD – Department of Internal Medicine, University of Rochester School of Medicine and

Dentistry, Rochester, NY 14642, USA. brett_robbins@urmc.rochester.edu

FAU – Robbins, Brett W

AU – Robbins BW

FAU – Aronica, Michael

AU – Aronica M

FAU – Melgar, Thomas

AU – Melgar T

FAU – Friedland, Allen R

AU – Friedland AR

LA – eng

PT – Journal Article

PL – United States

TA – Am J Med

JT – The American journal of medicine

JID – 0267200

SB – AIM

SB – IM

MH – *Benchmarking

MH – Humans

MH – Internal Medicine/*education

MH – Internship and Residency/economics/*organization & administration/standards

MH – Pediatrics/*education

MH – Physician Executives

MH – United States

EDAT- 2007/05/01 09:00

MHDA- 2007/05/23 09:00

CRDT- 2007/05/01 09:00

PHST- 2006/08/15 [received]

PHST- 2006/10/25 [revised]

PHST- 2007/01/25 [accepted]

AID – S0002-9343(07)00234-3 [pii]

AID – 10.1016/j.amjmed.2007.01.027 [doi]

PST – ppublish

SO – Am J Med. 2007 May;120(5):462-5.

 

PMID- 16981912

OWN – NLM

STAT- Publisher

DA – 20060919

IS – 1525-1497 (Electronic)

IS – 0884-8734 (Linking)

DP – 2006 Sep 18

TI – BRIEF REPORT: Health Care Provided by Program Directors to Their Resident

Physicians and Families.

AB – BACKGROUND: Who provides health care to resident physicians is not well studied.

OBJECTIVE: To determine whether residency program directors (PDs) provide health

care to their own residents and residents’ families. DESIGN: An anonymous survey

mailed to 1,345 PDs in Emergency Medicine, Family Medicine, Internal Medicine,

Medicine-Pediatrics, and Obstetrics-Gynecology in the United States in 2003.

RESULTS: Six hundred nineteen PDs (46%) responded. Half had taken care of their

own residents for acute conditions. Less commonly, directors had written

prescriptions for acute (40%) or chronic needs (15%) or provided ongoing care

(22%). Only 3% believed this conflicted with their ability to be effective

directors. Responders more likely to provide future care to residents considered

this kind of care generally appropriate (P<.001), or appropriate under certain

circumstances (P<.001). Most of these spent >/=31% of their time seeing patients.

There was no difference among types of programs, gender of the director, or the

years as director. Twenty-five percent of directors provided care to their

residents’ families. CONCLUSIONS: Substantial numbers of directors provided

health care to their own residents. Few believed this conflicted with their

director role. We believe organizations of PDs should develop positions about

this practice.

AD – Medicine-Pediatrics, Christiana Care Health System, Newark, DE, USA.

AU – Friedland AR

AU – Farber NJ

AU – Collier VU

LA – ENG

PT – JOURNAL ARTICLE

DEP – 20060918

TA – J Gen Intern Med

JT – Journal of general internal medicine

JID – 8605834

PMC – PMC1924733

EDAT- 2006/09/20 09:00

MHDA- 2006/09/20 09:00

CRDT- 2006/09/20 09:00

AID – JGI610 [pii]

AID – 10.1111/j.1525-1497.2006.00610.x [doi]

PST – aheadofprint

SO – J Gen Intern Med. 2006 Sep 18.

 

PMID- 12929331

OWN – NLM

STAT- MEDLINE

DA – 20030821

DCOM- 20031001

LR – 20041117

IS – 0011-7781 (Print)

IS – 0011-7781 (Linking)

VI – 75

IP – 6

DP – 2003 Jun

TI – As the child with chronic disease grows up: transitioning adolescents with

special health care needs to adult-centered health care.

PG – 217-20

AB – The purpose of this article is to inform readers of the Delaware Medical Journal

about the concept of transitional care for adolescents and young adults with

chronic health care needs. This is a topic that has recently received national

attention and was the subject of a supplement to Pediatrics in December 2002. The

concept of transitional care bears special importance in Delaware as every year

hundreds of children with chronic disease turn 18 and leave their pediatric

providers. It is uncertain that these children resume their care with an adult

health care provider, and there is almost always some lag in time as patients

attempt to find an adult provider who is knowledgeable about their condition and

willing to assume them as a patient. An even greater uncertainty is whether or

not adult providers are prepared to take care of this new generation of adults

with cyanotic congenital heart disease, spina bifida, cerebral palsy, and other

conditions. This article explores some of these ideas and discusses what is

available in the transition literature and where to go from here.

AD – Committee on Transitions, A.I. duPont Hospital, USA.

FAU – Bates, Kimberly

AU – Bates K

FAU – Bartoshesky, Louis

AU – Bartoshesky L

FAU – Friedland, Allen

AU – Friedland A

LA – eng

PT – Journal Article

PL – United States

TA – Del Med J

JT – Delaware medical journal

JID – 0370077

SB – IM

MH – Adolescent

MH – Adolescent Health Services/*organization & administration

MH – Adult

MH – Child

MH – Chronic Disease/*therapy

MH – Continuity of Patient Care/*organization & administration

MH – Delaware

MH – Hospitals, Pediatric/organization & administration

MH – Humans

MH – Physician-Patient Relations

MH – Professional Staff Committees/organization & administration

MH – Professional-Family Relations

EDAT- 2003/08/22 05:00

MHDA- 2003/10/02 05:00

CRDT- 2003/08/22 05:00

PST – ppublish

SO – Del Med J. 2003 Jun;75(6):217-20.

 

PMID- 12710116

OWN – NLM

STAT- MEDLINE

DA – 20030424

DCOM- 20030612

LR – 20041117

IS – 0825-8597 (Print)

IS – 0825-8597 (Linking)

VI – 19

IP – 1

DP – 2003 Spring

TI – Using patients with cancer to educate residents about giving bad news.

PG – 54-7

AD – Christiana Care Health System, Wilmington, Delaware, USA.

FAU – Farber, Neil J

AU – Farber NJ

FAU – Friedland, Allen

AU – Friedland A

FAU – Aboff, Brian M

AU – Aboff BM

FAU – Ehrenthal, Deborah B

AU – Ehrenthal DB

FAU – Bianchetta, Tony

AU – Bianchetta T

LA – eng

PT – Journal Article

PL – Canada

TA – J Palliat Care

JT – Journal of palliative care

JID – 8610345

SB – IM

MH – Attitude of Health Personnel

MH – *Communication

MH – Humans

MH – *Internship and Residency

MH – Neoplasms/diagnosis/*psychology

MH – Patient Care/*psychology/standards

MH – Physician-Patient Relations

MH – Questionnaires

MH – *Truth Disclosure

EDAT- 2003/04/25 05:00

MHDA- 2003/06/13 05:00

CRDT- 2003/04/25 05:00

PST – ppublish

SO – J Palliat Care. 2003 Spring;19(1):54-7.

 

PMID- 21640684

OWN – NLM

STAT- In-Process

DA – 20110909

IS – 1876-2867 (Electronic)

VI – 11

IP – 5

DP – 2011 Sep-Oct

TI – Graduating med-peds residents’ interest in part-time employment.

PG – 369-74

AB – OBJECTIVE: As part-time work is becoming more popular among the primary care

specialties, we examined the demographic descriptors of med-peds residents

seeking and finding part-time employment upon completion of residency training.

METHODS: As part of the 2006 annual American Academy of Pediatrics (AAP)

Graduating Med-Peds Residents Survey, we surveyed the graduating residents of all

med-peds programs about their interest in and plans for part-time employment. A

total of 199 (60%) of the residents responded. RESULTS: Of the resident

respondents applying for nonfellowship jobs, 19% sought part-time positions and

10% actually accepted a part-time position. Female residents were significantly

more likely than male residents to apply for part-time jobs (26% vs. 7%, P =

.034). Sixty percent of female residents immediately seeking work and 58% of

those going on to fellowship reported an interest in arranging a part-time or

reduced-hours position at some point in the next 5 years. CONCLUSIONS: Part-time

employment among med-peds residents applying for nonfellowship positions after

graduation is similar to the current incidence of part-time employment in other

fields of primary care. A much higher percentage of med-peds residents are

interested in arranging part-time work within 5 years after graduation. This

strong interest in part-time work has many implications for the primary care

workforce.

CI – Copyright (c) 2011 Academic Pediatric Association. Published by Elsevier Inc. All

rights reserved.

AD – Department of Internal Medicine, University of Rochester School of Medicine and

Dentistry, Rochester, NY 14642, USA. brett_robbins@urmc.rochester.edu

FAU – Fix, Amy L

AU – Fix AL

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Melgar, Thomas A

AU – Melgar TA

FAU – Chamberlain, John

AU – Chamberlain J

FAU – Cull, William

AU – Cull W

FAU – Robbins, Brett W

AU – Robbins BW

LA – eng

PT – Journal Article

PT – Research Support, Non-U.S. Gov’t

DEP – 20110602

PL – United States

TA – Acad Pediatr

JT – Academic pediatrics

JID – 101499145

SB – IM

EDAT- 2011/06/07 06:00

MHDA- 2011/06/07 06:00

CRDT- 2011/06/07 06:00

PHST- 2010/07/27 [received]

PHST- 2011/02/15 [revised]

PHST- 2011/02/24 [accepted]

PHST- 2011/06/02 [aheadofprint]

AID – S1876-2859(11)00063-5 [pii]

AID – 10.1016/j.acap.2011.02.013 [doi]

PST – ppublish

SO – Acad Pediatr. 2011 Sep-Oct;11(5):369-74. Epub 2011 Jun 2.

 

PMID- 21151014

OWN – NLM

STAT- In-Process

DA – 20110426

IS – 1930-7381 (Print)

IS – 1930-7381 (Linking)

VI – 19

IP – 5

DP – 2011 May

TI – Screening for obesity-related complications among obese children and adolescents:

1999-2008.

PG – 1077-82

AB – Obesity is becoming an increasingly prevalent problem among American children.

Screening for obesity associated comorbid conditions has been shown to be

inconsistent. The current study was undertaken to explore patterns of ordering

screening tests among obese pediatric patients. We analyzed electronic medical

records (EMR) from 69,901 patients ages 2-18 years between June 1999 and December

2008. Obese children who had documented diagnoses of obesity were identified

based on International Classification of Diseases, Ninth Revision codes.

Screening rates for glucose, liver, and lipid abnormalities were assessed.

Regression analysis was used to examine impact of patient characteristics and

temporal trends were analyzed. Of the 9,251 obese diagnosed patients identified,

22% were screened for all three included obesity-related conditions: diabetes,

liver, and lipid abnormalities; 52% were screened for glucose abnormalities; 30%

for liver abnormalities; and 41% for lipid abnormalities. Increasing BMI and age

were associated with increased rates of screening. Females and Hispanic patients

were more likely to be screened. The majority of screening was ordered under

“basic metabolic panel,” “hepatic function panel,” and “full lipid profile” for

each respective condition. The percentages of patients screened generally

increased over time, although the percentages screened for diabetes and lipid

abnormalities seemed to plateau or decrease after 2004. Even after diagnosis,

many obese patients are not receiving recommended laboratory screening tests.

Screening increased during the study period, but remains less than ideal.

Providers could improve care by more complete laboratory screening in patients

diagnosed with obesity.

AD – Denver Children’s Hospital, Denver, Colorado, USA. benson.lacey@tchden.org

FAU – Benson, Lacey J

AU – Benson LJ

FAU – Baer, Heather J

AU – Baer HJ

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Journal Article

DEP – 20101209

PL – United States

TA – Obesity (Silver Spring)

JT – Obesity (Silver Spring, Md.)

JID – 101264860

SB – IM

EDAT- 2010/12/15 06:00

MHDA- 2010/12/15 06:00

CRDT- 2010/12/15 06:00

PHST- 2010/12/09 [aheadofprint]

AID – oby2010277 [pii]

AID – 10.1038/oby.2010.277 [doi]

PST – ppublish

SO – Obesity (Silver Spring). 2011 May;19(5):1077-82. Epub 2010 Dec 9.

 

PMID- 20626580

OWN – NLM

STAT- MEDLINE

DA – 20101020

DCOM- 20110216

IS – 1440-1754 (Electronic)

IS – 1034-4810 (Linking)

VI – 46

IP – 10

DP – 2010 Oct

TI – When is family history obtained? – Lack of timely documentation of family history

among overweight and hypertensive paediatric patients.

PG – 600-5

LID – 10.1111/j.1440-1754.2010.01798.x [doi]

AB – AIM: Taking a detailed family history is an inexpensive way for healthcare

providers to screen patients for increased risk of various chronic conditions.

Documentation of family history, however, has been shown to be incomplete in the

majority of patient charts. The current study examines when family history is

collected within the context of the development and diagnosis of chronic

conditions in paediatrics, using hypertension and overweight/obesity as examples.

METHODS: We analysed family history data from the electronic medical records of

5485 overweight/obese and 774 hypertensive children and adolescents in a large,

urban medical system in northeast Ohio. Manual review of 200 charts was also

performed. RESULTS: Family history information was entered prior to the

development of hypertension in 13.5% of hypertensive patients with a family

history of hypertension, and it was entered prior to the development of abnormal

weight in 35.5% of overweight/obese patients with a family history of obesity or

a related condition. Of patients with a relevant family history who received an

actual diagnosis for either of these conditions, only 16.7% of hypertensive and

33.3% of overweight/obese patients had this family history documented prior to

diagnosis. CONCLUSIONS: These results imply that paediatric providers may not use

family history as a screening tool for assessing future risk of obesity and

hypertension, but instead gather this information after these chronic conditions

have developed, making it difficult to implement preventative or screening

strategies based on familial risk.

CI – (c) 2010 The Authors. Journal compilation (c) 2010 Paediatrics and Child Health

Division (Royal Australasian College of Physicians).

AD – The Children’s Hospital, Denver, Colorado, USA. david.kaelber@case.edu

FAU – Benson, Lacey

AU – Benson L

FAU – Baer, Heather J

AU – Baer HJ

FAU – Greco, Peter J

AU – Greco PJ

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Journal Article

PL – Australia

TA – J Paediatr Child Health

JT – Journal of paediatrics and child health

JID – 9005421

SB – IM

MH – Adolescent

MH – Child

MH – Child, Preschool

MH – *Family

MH – Humans

MH – *Hypertension

MH – Medical Audit

MH – *Medical History Taking

MH – Ohio

MH – *Overweight

MH – Pediatrics

EDAT- 2010/07/16 06:00

MHDA- 2011/02/17 06:00

CRDT- 2010/07/15 06:00

AID – JPC1798 [pii]

AID – 10.1111/j.1440-1754.2010.01798.x [doi]

PST – ppublish

SO – J Paediatr Child Health. 2010 Oct;46(10):600-5. doi:

10.1111/j.1440-1754.2010.01798.x.

 

PMID- 19833670

OWN – NLM

STAT- MEDLINE

DA – 20091125

DCOM- 20100309

LR – 20100331

IS – 1741-2889 (Electronic)

IS – 1367-4935 (Linking)

VI – 13

IP – 4

DP – 2009 Dec

TI – The association of continuity of care on the diagnosis of hypertension in

children and adolescents.

PG – 361-9

AB – Hypertension among pediatric patients is an underdiagnosed condition. As

continuity of care has been found to increase quality of pediatric care, we

undertook this study to assess effect of continuity on diagnosis of pediatric

hypertension. This is a retrospective analysis of 774 hypertensive patients, ages

3-18 years between June 1999 and October 2007 within the MetroHealth System in

northeastern Ohio. The proportion of hypertensive patients diagnosed was assessed

using coding within the electronic medical record. Continuity was assessed using

the usual provider of care, defined as the number of visits to the most frequent

provider divided by the total number of visits in the study period. Overall

continuity did not have a statistically significant association with diagnosis

(OR 0.7, CI 0.4-1.4). Our research indicates that continuity does not

significantly affect diagnosis of hypertension in pediatric patients. Other

approaches should be investigated to improve the significant underdiagnosis of

pediatric hypertension.

AD – The Children’s Hospital, Denver, CO, USA.

FAU – Benson, Lacey J

AU – Benson LJ

FAU – Cohn, Robert

AU – Cohn R

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Journal Article

DEP – 20091015

PL – England

TA – J Child Health Care

JT – Journal of child health care : for professionals working with children in the

hospital and community

JID – 9806360

SB – N

EIN – J Child Health Care. 2010 Mar;14(1):126

MH – Adolescent

MH – Child

MH – Child, Preschool

MH – *Continuity of Patient Care

MH – Humans

MH – Hypertension/*diagnosis

MH – Ohio

MH – Retrospective Studies

EDAT- 2009/10/17 06:00

MHDA- 2010/03/10 06:00

CRDT- 2009/10/17 06:00

PHST- 2009/10/15 [aheadofprint]

AID – 1367493509344680 [pii]

AID – 10.1177/1367493509344680 [doi]

PST – ppublish

SO – J Child Health Care. 2009 Dec;13(4):361-9. Epub 2009 Oct 15.

 

PMID- 19414519

OWN – NLM

STAT- MEDLINE

DA – 20090601

DCOM- 20090617

IS – 1098-4275 (Electronic)

IS – 0031-4005 (Linking)

VI – 123

IP – 6

DP – 2009 Jun

TI – Simple table to identify children and adolescents needing further evaluation of

blood pressure.

PG – e972-4

AB – OBJECTIVE: The goal was to create a tool to screen more easily for children and

adolescents who might have hypertension or prehypertension. METHODS: We took the

existing tables from The Fourth Report on the Diagnosis, Evaluation and Treatment

of High Blood Pressure in Children and Adolescents, which contain hundreds of

normal and abnormal blood pressure values based on gender, age, and height

percentile, and analyzed this data to develop a much simplified table based only

on gender and age. RESULTS: In our simplified table we reduced the number of

values from 476 to 64 and have only one threshold value of abnormal systolic and

diastolic blood pressure, by gender, for each year of life (ages 3 to > or =18).

This table makes it easy to identify abnormal blood pressure values in almost any

potential care or screening setting. This approach is ideal when blood pressure

is measured outside a physician’s office or even at intake in a pediatrician’s

office, when the height percentile (which is required for the use of current

tables) may not be easily obtainable. CONCLUSIONS: This screening tool can

quickly and easily identify children and adolescents whose blood pressure

readings merit further evaluation by a physician and rule out abnormal blood

pressure in children and adolescents.

AD – Department of Pediatrics, MetroHealth System, Cleveland, Ohio, USA.

david.kaelber@case.edu

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Pickett, Frieda

AU – Pickett F

LA – eng

PT – Journal Article

DEP – 20090504

PL – United States

TA – Pediatrics

JT – Pediatrics

JID – 0376422

SB – AIM

SB – IM

MH – Adolescent

MH – Age Factors

MH – Blood Pressure Determination/statistics & numerical data

MH – Child

MH – Child, Preschool

MH – Emergency Service, Hospital

MH – Female

MH – Humans

MH – Hypertension/*diagnosis/epidemiology

MH – Male

MH – Mass Screening/*methods/statistics & numerical data

MH – Pediatrics

MH – Physicians’ Offices

MH – Reference Values

MH – Sex Factors

EDAT- 2009/05/06 09:00

MHDA- 2009/06/18 09:00

CRDT- 2009/05/06 09:00

PHST- 2009/05/04 [aheadofprint]

AID – peds.2008-2680 [pii]

AID – 10.1542/peds.2008-2680 [doi]

PST – ppublish

SO – Pediatrics. 2009 Jun;123(6):e972-4. Epub 2009 May 4.

 

PMID- 19240455

OWN – NLM

STAT- MEDLINE

DA – 20090225

DCOM- 20090331

IS – 1938-808X (Electronic)

IS – 1040-2446 (Linking)

VI – 84

IP – 3

DP – 2009 Mar

TI – Characteristics of medicine-pediatrics practices: results from the national

ambulatory medical care survey.

PG – 396-401

AB – BACKGROUND: Combined medicine-pediatrics (med-peds) training has existed for 40

years, yet little is known about national med-peds practices. A more

comprehensive understanding of med-peds practices is important to inform medical

students and guide evolving curricula and accreditation standards. METHOD: The

authors used data from the National Ambulatory Medical Care Survey from 2000 to

2006 to characterize the age distribution and types of visits seen by med-peds,

internal medicine, pediatric, and family physicians. RESULTS: Forty-three percent

of visits to med-peds physicians were from children < or = 18 years of age.

Compared with family physicians, med-peds physicians saw a higher proportion of

infants and toddlers < or = 2 years of age (21.0% versus 3.7%; P = .002) and

children < or = 18 years of age (42.9% versus 15.5%; P = .002), but they treated

fewer adults age 65 or older (13.8% versus 21.3%; P = .013). Compared with

internists, med-peds physicians saw a greater percentage of visits from adults 19

to 64 years of age (75.8% versus 61.2%) and fewer visits from patients age 65 or

older (24.2% versus 38.8%; P = .006). Med-peds physicians, like family physicians

and pediatricians, most commonly treated patients for acute problems and reported

high levels of continuity of care for patients-pediatric (93.6%) and adult

(94.6%). CONCLUSIONS: Med-peds physicians care for a considerable proportion of

pediatric patients while maintaining high levels of continuity of care for adult

and pediatric patients. Within their practices, med-peds physicians treat a

larger percentage of pediatric patients than do family physicians, but they see a

smaller percentage of elderly patients.

AD – Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard

Pilgrim Health Care, Boston, Massachusetts 02215, USA. rfortuna@post.harvard.edu

FAU – Fortuna, Robert J

AU – Fortuna RJ

FAU – Ting, David Y

AU – Ting DY

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Simon, Steven R

AU – Simon SR

LA – eng

GR – 5 T32 HP11001-18/PHS HHS/United States

PT – Journal Article

PT – Research Support, U.S. Gov’t, P.H.S.

PL – United States

TA – Acad Med

JT – Academic medicine : journal of the Association of American Medical Colleges

JID – 8904605

SB – AIM

SB – IM

MH – Adolescent

MH – Adult

MH – Age Distribution

MH – Aged

MH – Ambulatory Care/*organization & administration/statistics & numerical data

MH – Child, Preschool

MH – Health Care Surveys

MH – Humans

MH – Infant

MH – Internal Medicine/*organization & administration/statistics & numerical data

MH – Middle Aged

MH – Office Visits/statistics & numerical data

MH – Pediatrics/*organization & administration/statistics & numerical data

MH – Primary Health Care/*organization & administration/statistics & numerical data

MH – Professional Practice/*organization & administration/statistics & numerical data

MH – United States

MH – Young Adult

EDAT- 2009/02/26 09:00

MHDA- 2009/04/01 09:00

CRDT- 2009/02/26 09:00

AID – 10.1097/ACM.0b013e3181970bb9 [doi]

AID – 00001888-200903000-00032 [pii]

PST – ppublish

SO – Acad Med. 2009 Mar;84(3):396-401.

 

PMID- 19117837

OWN – NLM

STAT- MEDLINE

DA – 20090101

DCOM- 20090206

IS – 1098-4275 (Electronic)

IS – 0031-4005 (Linking)

VI – 123

IP – 1

DP – 2009 Jan

TI – Trends in the diagnosis of overweight and obesity in children and adolescents:

1999-2007.

PG – e153-8

AB – OBJECTIVE: Pediatric overweight and obesity are increasingly prevalent problems

and have received much attention in recent years, but it is unclear whether this

publicity has affected diagnosis by clinicians. We undertook the current study to

assess trends in diagnosis rates of overweight and obesity in children. PATIENTS

AND METHODS: We analyzed electronic medical record data from 60711 patients aged

2 through 18 years with at least 1 well-child visit between June 1999 and October

2007 in a large academic medical system in northeast Ohio. Diagnosis of weight

problems among children classified as overweight and obese was assessed by using

International Classification of Diseases, Ninth Revision codes. Logistic

regression was used to examine the impact of patient characteristics on diagnosis

and to investigate trends over the study period. RESULTS: On retrospective review

of BMI measurements recorded for patients during the study period, 19% of the

children were overweight, 23% were obese, and 8% (33% of the obese patients) were

severely obese; among these, 10% of overweight patients, 54% of obese patients,

and 76% of severely obese patients had their conditions diagnosed. BMI, age, and

number of overweight visits were positively associated with diagnosis. Female

patients were more likely to have been diagnosed than male patients. Black and

Hispanic patients were more likely to have been diagnosed than white patients.

There was a statistically significant trend toward increasing diagnosis during

the study period, although the percentage of patients diagnosed per year seemed

to plateau or decrease after 2005. CONCLUSIONS: Although clear BMI definitions of

pediatric weight problems exist, a large percentage of overweight and obese

patients remain undiagnosed. Diagnosis increased during the study period but

remained low among overweight children, for whom early intervention may be more

effective. Identification of overweight and obese patients is the first step in

addressing this growing epidemic.

AD – School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.

FAU – Benson, Lacey

AU – Benson L

FAU – Baer, Heather J

AU – Baer HJ

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Comparative Study

PT – Journal Article

PL – United States

TA – Pediatrics

JT – Pediatrics

JID – 0376422

SB – AIM

SB – IM

MH – Adolescent

MH – Body Mass Index

MH – Body Weight/physiology

MH – Child

MH – Child, Preschool

MH – Cohort Studies

MH – Delivery of Health Care/standards/*trends

MH – Female

MH – Humans

MH – Male

MH – Medical Records Systems, Computerized/standards/trends

MH – Obesity/*diagnosis/epidemiology/physiopathology

MH – Overweight/diagnosis/epidemiology/physiopathology

MH – Retrospective Studies

EDAT- 2009/01/02 09:00

MHDA- 2009/02/07 09:00

CRDT- 2009/01/02 09:00

AID – 123/1/e153 [pii]

AID – 10.1542/peds.2008-1408 [doi]

PST – ppublish

SO – Pediatrics. 2009 Jan;123(1):e153-8.

 

PMID- 18999276

OWN – NLM

STAT- MEDLINE

DA – 20081112

DCOM- 20100108

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2008

TI – The value of personal health record (PHR) systems.

PG – 343-7

AB – Personal health records (PHRs) are a rapidly growing area of health information

technology despite a lack of significant value-based assessment.Here we present

an assessment of the potential value of PHR systems, looking at both costs and

benefits.We examine provider-tethered, payer-tethered, and third-party PHRs, as

well as idealized interoperable PHRs. An analytical model was developed that

considered eight PHR application and infrastructure functions. Our analysis

projects the initial and annual costs and annual benefits of PHRs to the entire

US over the next 10 years.This PHR analysis shows that all forms of PHRs have

initial net negative value. However, at the end of 10 years, steady state annual

net value ranging from$13 billion to -$29 billion. Interoperable PHRs provide the

most value, followed by third-party PHRs and payer-tethered PHRs also showing

positive net value. Provider-tethered PHRs constantly demonstrating negative net

value.

AD – Center for Information Technology Leadership (CITL), Partners HealthCare System,

Boston, MA, USA.

FAU – Kaelber, David

AU – Kaelber D

FAU – Pan, Eric C

AU – Pan EC

LA – eng

PT – Journal Article

PT – Research Support, Non-U.S. Gov’t

DEP – 20081106

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Cost-Benefit Analysis

MH – Health Care Costs/*statistics & numerical data

MH – Health Records, Personal/*economics

MH – Medical Records Systems, Computerized/*economics

MH – *Models, Economic

MH – United States

PMC – PMC2655982

OID – NLM: PMC2655982

EDAT- 2008/11/13 09:00

MHDA- 2010/01/09 06:00

CRDT- 2008/11/13 09:00

PHST- 2008/03/14 [received]

PHST- 2008/07/16 [revised]

PST – epublish

SO – AMIA Annu Symp Proc. 2008 Nov 6:343-7.

 

PMID- 18998988

OWN – NLM

STAT- MEDLINE

DA – 20081112

DCOM- 20100108

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2008

TI – A cost model for personal health records (PHRs).

PG – 657-61

AB – Personal health records (PHRs) are a rapidly expanding area in medical

informatics due to the belief that they may improve healthcare delivery and

control costs of care. To truly understand the full potential value of a

technology, a cost analysis is critical.However, little evidence exists on the

value potential of PHRs, and a cost model for PHRs does not currently exist in

the literature.This paper presents a sample cost model for PHR systems, which

include PHR infrastructure and applications. We used this model to examine the

costs of provider-tethered, payer-tethered, third-party, and interoperable PHRs.

Our model projects that on a per-person basis, third-party PHRs will be the most

expensive followed by inter operable PHRs, and then provider-tethered PHRs and

payer-tethered PHRs are the least expensive. Data interfaces are a major cost

driver, thus these findings underscore the need for standards development and use

in the implementation ofPHR systems.

AD – Center for Information Technology Leadership (CITL), Harvard Medical School,

Boston, MA, USA.

FAU – Shah, Sapna

AU – Shah S

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Vincent, Adam

AU – Vincent A

FAU – Pan, Eric C

AU – Pan EC

FAU – Johnston, Douglas

AU – Johnston D

FAU – Middleton, Blackford

AU – Middleton B

LA – eng

PT – Journal Article

PT – Research Support, Non-U.S. Gov’t

DEP – 20081106

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Computer Simulation

MH – Health Care Costs/*statistics & numerical data

MH – Massachusetts

MH – Medical Records Systems, Computerized/*economics

MH – *Models, Economic

PMC – PMC2656035

OID – NLM: PMC2656035

EDAT- 2008/11/13 09:00

MHDA- 2010/01/09 06:00

CRDT- 2008/11/13 09:00

PHST- 2008/03/14 [received]

PHST- 2008/07/16 [revised]

PST – epublish

SO – AMIA Annu Symp Proc. 2008 Nov 6:657-61.

 

PMID- 18998912

OWN – NLM

STAT- MEDLINE

DA – 20081112

DCOM- 20100108

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2008

TI – A patient-centric taxonomy for personal health records (PHRs).

PG – 763-7

AB – Today, the nascent field of personal health records (PHRs) lacks a comprehensive

taxonomy that encompasses the full range of PHRs currently in existence and what

may be possible. The Center for Information Technology Leadership (CITL) has

created a taxonomy that broadly defines a PHR as having both an infrastructure

component, which allows for data viewing and sharing, and an application

component, allowing for self-management and information exchange. The taxonomy

also accounts for different PHR architectures provider, payer, third-party, or

interoperable. This comprehensive taxonomy may help to define the field of PHRs

and provide a framework for assessing PHR value.

AD – Center for Information Technology Leadership (CITL), Partners HealthCare System,

Harvard Medical School, Boston, MA, USA.

FAU – Vincent, Adam

AU – Vincent A

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Pan, Eric

AU – Pan E

FAU – Shah, Sapna

AU – Shah S

FAU – Johnston, Douglas

AU – Johnston D

FAU – Middleton, Blackford

AU – Middleton B

LA – eng

PT – Journal Article

PT – Research Support, Non-U.S. Gov’t

DEP – 20081106

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Algorithms

MH – Artificial Intelligence

MH – Forms and Records Control/methods/*organization & administration

MH – *Health Records, Personal

MH – Information Storage and Retrieval/methods

MH – Massachusetts

MH – Medical History Taking/methods

MH – Medical Records Systems, Computerized/*organization & administration

MH – Natural Language Processing

MH – Patient-Centered Care/methods/*organization & administration

MH – Pattern Recognition, Automated/*methods

MH – *Subject Headings

PMC – PMC2656090

OID – NLM: PMC2656090

EDAT- 2008/11/13 09:00

MHDA- 2010/01/09 06:00

CRDT- 2008/11/13 09:00

PHST- 2008/03/13 [received]

PHST- 2008/07/16 [revised]

PST – epublish

SO – AMIA Annu Symp Proc. 2008 Nov 6:763-7.

 

PMID- 18756002

OWN – NLM

STAT- MEDLINE

DA – 20081103

DCOM- 20081209

LR – 20110801

IS – 1067-5027 (Print)

IS – 1067-5027 (Linking)

VI – 15

IP – 6

DP – 2008 Nov-Dec

TI – A research agenda for personal health records (PHRs).

PG – 729-36

AB – Patients, policymakers, providers, payers, employers, and others have increasing

interest in using personal health records (PHRs) to improve healthcare costs,

quality, and efficiency. While organizations now invest millions of dollars in

PHRs, the best PHR architectures, value propositions, and descriptions are not

universally agreed upon. Despite widespread interest and activity, little PHR

research has been done to date, and targeted research investment in PHRs appears

inadequate. The authors reviewed the existing PHR specific literature (100

articles) and divided the articles into seven categories, of which four in

particular–evaluation of PHR functions, adoption and attitudes of healthcare

providers and patients towards PHRs, PHR related privacy and security, and PHR

architecture–present important research opportunities. We also briefly discuss

other research related to PHRs, PHR research funding sources, and PHR business

models. We believe that additional PHR research can increase the likelihood that

future PHR system deployments will beneficially impact healthcare costs, quality,

and efficiency.

AD – Partners HealthCare Information Systems, Boston MA, USA. david.kaelber@case.edu

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Jha, Ashish K

AU – Jha AK

FAU – Johnston, Douglas

AU – Johnston D

FAU – Middleton, Blackford

AU – Middleton B

FAU – Bates, David W

AU – Bates DW

LA – eng

PT – Journal Article

DEP – 20080828

PL – United States

TA – J Am Med Inform Assoc

JT – Journal of the American Medical Informatics Association : JAMIA

JID – 9430800

SB – IM

MH – Attitude to Health

MH – Confidentiality

MH – *Health Services Research

MH – Humans

MH – Medical Records

MH – *Medical Records Systems, Computerized

MH – Patient Access to Records

MH – Patient Participation

PMC – PMC2585530

OID – NLM: PMC2585530

EDAT- 2008/08/30 09:00

MHDA- 2008/12/17 09:00

CRDT- 2008/08/30 09:00

PHST- 2008/08/28 [aheadofprint]

AID – M2547 [pii]

AID – 10.1197/jamia.M2547 [doi]

PST – ppublish

SO – J Am Med Inform Assoc. 2008 Nov-Dec;15(6):729-36. Epub 2008 Aug 28.

 

PMID- 18694241

OWN – NLM

STAT- MEDLINE

DA – 20080812

DCOM- 20081118

LR – 20090309

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2007

TI – A new taxonomy for telehealth technologies.

PG – 1145

AB – Today, the field of telehealth lacks a comprehensive taxonomy that reflects the

variety of remote interactions, technologies used, and personnel involved. The

Center for Information Technology Leadership (CITL) has created a taxonomy that

categorizes telehealth around four factors: type of telehealth interaction,

location of the controlling medical authority, urgency of care, and timing of

communication. This comprehensive taxonomy may help to define the field of

telehealth and may help with adoption, research, and reimbursement.

AD – Center for Information Technology Leadership (CITL), Partners HealthCare System,

Boston, MA, USA.

FAU – Vincent, Adam

AU – Vincent A

FAU – Cusack, Caitlin M

AU – Cusack CM

FAU – Pan, Eric

AU – Pan E

FAU – Hook, Julie M

AU – Hook JM

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Middleton, Blackford

AU – Middleton B

LA – eng

PT – Journal Article

DEP – 20071011

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Telemedicine/*classification

MH – Terminology as Topic

EDAT- 2008/08/13 09:00

MHDA- 2008/11/19 09:00

CRDT- 2008/08/13 09:00

PHST- 2007/03/15 [received]

PHST- 2007/07/31 [revised]

PHST- 2007/10/11 [accepted]

PST – epublish

SO – AMIA Annu Symp Proc. 2007 Oct 11:1145.

 

PMID- 18694099

OWN – NLM

STAT- MEDLINE

DA – 20080812

DCOM- 20081118

LR – 20090309

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2007

TI – Ambulatory electronic medical record payback analysis 7 years after

implementation in a tertiary care county medical system.

PG – 1000

AB – Electronic medical records (EMRs) are gaining increasing prominence in

healthcare, however still have low market penetration. EMR implementation cost is

a primary perceived barrier. Here we present a payback analysis on an outpatient

EMR implementation, showing capital expense recovery (net of operating costs) at

6 years and now generating $6 million yearly in direct savings for our healthcare

system.

AD – Center for Information Technology Leadership (CITL), Partners HealthCare System

andHarvard Medical School, Boston, MA, USA.

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Miller, Vince

AU – Miller V

FAU – Fisher, Nancy

AU – Fisher N

FAU – Schlesinger, Jim

AU – Schlesinger J

FAU – Norris, Greg

AU – Norris G

LA – eng

PT – Journal Article

DEP – 20071011

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Academic Medical Centers/economics

MH – Capital Expenditures

MH – Medical Records Systems, Computerized/*economics

MH – Organizational Case Studies

MH – Organizational Innovation/economics

EDAT- 2008/08/13 09:00

MHDA- 2008/11/19 09:00

CRDT- 2008/08/13 09:00

PHST- 2007/03/15 [received]

PHST- 2007/07/31 [revised]

PHST- 2007/10/11 [accepted]

PST – epublish

SO – AMIA Annu Symp Proc. 2007 Oct 11:1000.

 

PMID- 18694066

OWN – NLM

STAT- MEDLINE

DA – 20080812

DCOM- 20081118

LR – 20090309

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2007

TI – Underdiagnosis of pediatric hypertension-an example of a new era of clinical

research enabled by electronic medical records.

PG – 966

AB – Previously, large scale clinical research required large budgets, significant

staff, and long periods of time. Typically most of these resources were spent on

data collection to develop electronic research databases. With the proliferation

of electronic medical records this clinical research paradigm changes. Here we

present a large clinical study of pediatric hypertension (14,187 patients)

conducted through an electronic medical record without any budget and within

about 70 hours over 6 months.

AD – Case Western Reserve University, Cleveland, OH, USA.

FAU – Gunn, Paul W

AU – Gunn PW

FAU – Hansen, Matthew L

AU – Hansen ML

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Journal Article

DEP – 20071011

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Biomedical Research/*methods

MH – Child

MH – Diagnostic Errors

MH – Humans

MH – Hypertension/*diagnosis

MH – Information Storage and Retrieval

MH – *Medical Records Systems, Computerized

MH – Practice Guidelines as Topic

MH – Retrospective Studies

EDAT- 2008/08/13 09:00

MHDA- 2008/11/19 09:00

CRDT- 2008/08/13 09:00

PHST- 2007/03/15 [received]

PHST- 2007/07/31 [revised]

PHST- 2007/10/11 [accepted]

PST – epublish

SO – AMIA Annu Symp Proc. 2007 Oct 11:966.

 

PMID- 18693861

OWN – NLM

STAT- MEDLINE

DA – 20080812

DCOM- 20081118

LR – 20091118

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2007

TI – A framework and approach for assessing the value of personal health records

(PHRs).

PG – 374-8

AB – Personal Health Records (PHRs) are a rapidly expanding area of medical

informatics due to the belief that they may improve health care delivery and

control costs of care. The PHRs in use or in development today support a myriad

of different functions, and consequently offer different value propositions. A

comprehensive value analysis of PHRs has never been conducted; such analysis is

needed to identify those PHR functions that yield the greatest value to PHR

stakeholders. Here we present a framework that could serve as a foundation for

determining the value of PHR functions and thereby help optimize PHR development.

While the value framework is specific to the domain of PHRs, the authors have

successfully applied the associated evaluation methodology in assessing other

health care information technologies.

AD – Center for Information Technology Leadership (CITL), Partners HealthCare System,

Boston, MA, USA.

FAU – Johnston, Douglas

AU – Johnston D

FAU – Kaelber, David

AU – Kaelber D

FAU – Pan, Eric C

AU – Pan EC

FAU – Bu, Davis

AU – Bu D

FAU – Shah, Sapna

AU – Shah S

FAU – Hook, Julie M

AU – Hook JM

FAU – Middleton, Blackford

AU – Middleton B

LA – eng

PT – Journal Article

DEP – 20071011

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Communication

MH – Decision Support Techniques

MH – Humans

MH – *Medical Records

MH – *Medical Records Systems, Computerized

MH – Patient Access to Records

MH – Patient Participation

MH – Self Care

PMC – PMC2655849

OID – NLM: PMC2655849

EDAT- 2008/08/13 09:00

MHDA- 2008/11/19 09:00

CRDT- 2008/08/13 09:00

PHST- 2007/03/15 [received]

PHST- 2007/07/20 [revised]

PHST- 2007/10/11 [accepted]

PST – epublish

SO – AMIA Annu Symp Proc. 2007 Oct 11:374-8.

 

PMID- 18578679

OWN – NLM

STAT- MEDLINE

DA – 20080626

DCOM- 20080717

IS – 1556-3669 (Electronic)

IS – 1530-5627 (Linking)

VI – 14

IP – 5

DP – 2008 Jun

TI – The value of provider-to-provider telehealth.

PG – 446-53

AB – Telehealth has great potential to improve access to care, but its adoption in

routine healthcare has been slow. The lack of clarity about the value of

telehealth implementations has been one reason cited for this slow adoption. The

Center for Information Technology Leadership has examined the value of telehealth

encounters in which there is a provider both with the patient and at a distance

from the patient. We considered three models of telehealth: store-and-forward,

real-time video, and hybrid systems. Evidence from the literature was

extrapolated using a computer simulation, which found that the hybrid model was

the most cost effective. The simulation predicted savings of $4.3 billion per

year if hybrid telehealth systems were implemented in emergency rooms, prisons,

nursing home facilities, and physician offices across the United States. We also

conducted a sensitivity analysis to determine which factors most influence costs

and savings. Payers, providers, and policymakers should work together to remove

the barriers to the adoption of telehealth so that this cost savings can be

realized in the U.S. healthcare system.

AD – Division of General Medicine and Primary Care, Brigham and Women’s Hospital,

Harvard Medical School, Boston, Massachussetts, USA. epan@partners.org

FAU – Pan, Eric

AU – Pan E

FAU – Cusack, Caitlin

AU – Cusack C

FAU – Hook, Julie

AU – Hook J

FAU – Vincent, Adam

AU – Vincent A

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Bates, David W

AU – Bates DW

FAU – Middleton, Blackford

AU – Middleton B

LA – eng

PT – Journal Article

PT – Review

PL – United States

TA – Telemed J E Health

JT – Telemedicine journal and e-health : the official journal of the American

Telemedicine Association

JID – 100959949

SB – IM

MH – Computer Simulation

MH – Cost-Benefit Analysis

MH – *Diffusion of Innovation

MH – *Health Personnel

MH – Humans

MH – *Telemedicine

MH – United States

RF – 40

EDAT- 2008/06/27 09:00

MHDA- 2008/07/18 09:00

CRDT- 2008/06/27 09:00

AID – 10.1089/tmj.2008.0017 [doi]

PST – ppublish

SO – Telemed J E Health. 2008 Jun;14(5):446-53.

 

PMID- 18534947

OWN – NLM

STAT- MEDLINE

DA – 20080606

DCOM- 20081014

IS – 1357-633X (Print)

IS – 1357-633X (Linking)

VI – 14

IP – 4

DP – 2008

TI – The value proposition in the widespread use of telehealth.

PG – 167-8

AB – Telehealth has great potential to improve access to care but its adoption in

routine health care has been slow. The lack of clarity about the value of

telehealth implementations has been one reason cited for this slow adoption. The

Center for Information Technology Leadership has examined the value of telehealth

encounters in which there is a provider both with the patient and at a distance

from the patient. We considered three models of telehealth: store-and-forward,

real-time video and hybrid systems. Evidence from the literature was extrapolated

using a simulation, which found that the hybrid model was the most cost-effective

of the three. The simulation predicted savings of $4.3 billion per year if hybrid

telehealth systems were to be implemented in emergency rooms, prisons, nursing

home facilities and physician offices across the US. We also conducted a

sensitivity analysis to determine which factors most affected costs and savings.

For all three telehealth models, the highest sensitivities were to the cost of a

face-to-face visit, the cost of a telehealth visit and the success rate of a

telehealth visit, i.e. the proportion of telehealth visits that avoided the need

for a face-to-face visit. Payers, providers and policy-makers should work

together to remove the barriers to the adoption of telehealth in order to make it

widely available to all.

AD – Center for IT Leadership, Partners HealthCare, One Constitution Center,

Charlestown, MA 02129, USA.

FAU – Cusack, Caitlin M

AU – Cusack CM

FAU – Pan, Eric

AU – Pan E

FAU – Hook, Julie M

AU – Hook JM

FAU – Vincent, Adam

AU – Vincent A

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Middleton, Blackford

AU – Middleton B

LA – eng

PT – Journal Article

PL – England

TA – J Telemed Telecare

JT – Journal of telemedicine and telecare

JID – 9506702

SB – IM

MH – Cost-Benefit Analysis

MH – Delivery of Health Care/*economics/trends

MH – Diffusion of Innovation

MH – Health Services Accessibility/*economics/standards

MH – Humans

MH – Models, Statistical

MH – Telemedicine/*economics/instrumentation

MH – United States

EDAT- 2008/06/07 09:00

MHDA- 2008/10/15 09:00

CRDT- 2008/06/07 09:00

AID – 14/4/167 [pii]

AID – 10.1258/jtt.2007.007043 [doi]

PST – ppublish

SO – J Telemed Telecare. 2008;14(4):167-8.

 

PMID- 17950041

OWN – NLM

STAT- MEDLINE

DA – 20071120

DCOM- 20080104

IS – 1532-0480 (Electronic)

IS – 1532-0464 (Linking)

VI – 40

IP – 6 Suppl

DP – 2007 Dec

TI – Health information exchange and patient safety.

PG – S40-5

AB – One of the most promising advantages for health information exchange (HIE) is

improved patient safety. Up to 18% of the patient safety errors generally and as

many as 70% of adverse drug events could be eliminated if the right information

about the right patient is available at the right time. Health information

exchange makes this possible. Here we present an overview of six different ways

in which HIE can improve patient safety-improved medication information

processing, improved laboratory information processing, improved radiology

information processing, improved communication among providers, improved

communication between patients and providers, and improved public health

information processing. Within the area of improved medication information

processing we discuss drug-allergy information processing, drug-dose information

processing, drug-drug information processing, drug-diagnosis information

processing, and drug-gene information processing. We also briefly discuss HIE and

decreased patient safety as well as standards and completeness of information for

HIE and patient safety.

AD – Center for Information Technology Leadership and Clinical and Quality Analysis,

Division of General Medicine and Primary Care, Department of Medicine, Brigham

and Women’s Hospital, Harvard Medical School, MA 02115, USA.

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Bates, David W

AU – Bates DW

LA – eng

PT – Journal Article

PT – Review

DEP – 20070907

PL – United States

TA – J Biomed Inform

JT – Journal of biomedical informatics

JID – 100970413

SB – IM

MH – *Consumer Product Safety

MH – Information Dissemination/*methods

MH – Information Systems/*organization & administration

MH – Medical Informatics/*methods/*organization & administration

MH – *Patient Rights

MH – Program Evaluation/*methods

MH – United States

RF – 61

EDAT- 2007/10/24 09:00

MHDA- 2008/01/05 09:00

CRDT- 2007/10/24 09:00

PHST- 2007/08/15 [received]

PHST- 2007/08/16 [accepted]

PHST- 2007/09/07 [aheadofprint]

AID – S1532-0464(07)00090-1 [pii]

AID – 10.1016/j.jbi.2007.08.011 [doi]

PST – ppublish

SO – J Biomed Inform. 2007 Dec;40(6 Suppl):S40-5. Epub 2007 Sep 7.

 

PMID- 17889081

OWN – NLM

STAT- MEDLINE

DA – 20070924

DCOM- 20071009

LR – 20091119

IS – 1097-6833 (Electronic)

IS – 0022-3476 (Linking)

VI – 151

IP – 4

DP – 2007 Oct

TI – The effect of dual training in internal medicine and pediatrics on the career

path and job search experience of pediatric graduates.

PG – 419-24

AB – OBJECTIVE: To compare the job search experience and career plans of

medicine-pediatrics (med-peds) and pediatric residents. STUDY DESIGN: Annual

surveys of graduating med-peds and pediatric residents were compared from 2003

and 2004. RESULTS: The survey response rates were 58% for med-peds residents (n =

427) and 61% for pediatric residents (n = 611). Pediatric residents were more

likely to be female or an International Medical Graduate. The groups were equally

satisfied with their career choice and had equivalent debt. Med-peds residents

were more likely to seek and accept generalist and hospitalist positions.

Pediatric residents were more likely to seek subspecialty careers and research

opportunities. More than 94% of med-peds residents expected to care for pediatric

patients. Among residents seeking generalist positions, med-peds residents sent

half as many applications to get the same number of interviews and offers as

pediatric residents, were more likely to be offered their most desired position,

and were more likely to accept a position in a rural area/small town. Med-peds

residents had substantially greater starting salaries as hospitalists or

generalists compared with pediatric residents. CONCLUSION: Med-peds and pediatric

trainees differ in their career plans, although primary care is their most

popular choice. Med-peds- trained physicians have an easier job search experience

and greater market valuation.

AD – Department of Internal Medicine, University of Rochester, Rochester, NY, USA.

jkenneth@rochester.rr.com

FAU – Chamberlain, John K

AU – Chamberlain JK

FAU – Cull, William L

AU – Cull WL

FAU – Melgar, Tom

AU – Melgar T

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Kan, Brian D

AU – Kan BD

LA – eng

PT – Comparative Study

PT – Journal Article

DEP – 20070823

PL – United States

TA – J Pediatr

JT – The Journal of pediatrics

JID – 0375410

SB – AIM

SB – IM

CIN – J Pediatr. 2007 Oct;151(4):338-9. PMID: 17889064

MH – Adult

MH – *Career Choice

MH – Fellowships and Scholarships

MH – Female

MH – Health Care Surveys

MH – Humans

MH – Internal Medicine/*education

MH – *Internship and Residency

MH – Male

MH – Medicine

MH – Pediatrics/*education

MH – *Personnel Selection

MH – Salaries and Fringe Benefits

MH – Specialization

MH – United States

EDAT- 2007/09/25 09:00

MHDA- 2007/10/10 09:00

CRDT- 2007/09/25 09:00

PHST- 2006/12/14 [received]

PHST- 2007/03/12 [revised]

PHST- 2007/04/26 [accepted]

PHST- 2007/08/23 [aheadofprint]

AID – S0022-3476(07)00441-6 [pii]

AID – 10.1016/j.jpeds.2007.04.064 [doi]

PST – ppublish

SO – J Pediatr. 2007 Oct;151(4):419-24. Epub 2007 Aug 23.

 

PMID- 17712071

OWN – NLM

STAT- MEDLINE

DA – 20070822

DCOM- 20070824

LR – 20080313

IS – 1538-3598 (Electronic)

IS – 0098-7484 (Linking)

VI – 298

IP – 8

DP – 2007 Aug 22

TI – Underdiagnosis of hypertension in children and adolescents.

PG – 874-9

AB – CONTEXT: Pediatric hypertension is increasing in prevalence with the pediatric

obesity epidemic. Diagnosis of hypertension in children is complicated because

normal and abnormal blood pressure values vary with age, sex, and height and are

therefore difficult to remember. OBJECTIVES: To determine the frequency of

undiagnosed hypertension and prehypertension and to identify patient factors

associated with this underdiagnosis. DESIGN, SETTING, AND PARTICIPANTS: A cohort

study of 14,187 children and adolescents aged 3 to 18 years who were observed at

least 3 times for well-child care between June 1999 and September 2006 in the

outpatient clinics in a large academic urban medical system in northeast Ohio.

For children and adolescents who met criteria for hypertension or prehypertension

at 3 or more well-child care visits, the proportion with a hypertension-related

International Classification of Diseases, Ninth Revision code in the diagnoses

list, problem list, or past medical history list of any visit was determined.

MAIN OUTCOME MEASURES: Proportion of children and adolescents with 3 or more

elevated age-adjusted and height-adjusted blood pressure measurements at

well-child care visits and with a diagnosis of hypertension or prehypertension

documented in the electronic medical record. Multivariate logistic regression

identified patient factors associated with a correct diagnosis. RESULTS: Of 507

children and adolescents (3.6%) who had hypertension, 131 (26%) had a diagnosis

of hypertension or elevated blood pressure documented in the electronic medical

record. Patient factors that increased the adjusted odds of a correct diagnosis

were a 1-year increase in age over age 3 (odds ratio [OR], 1.09; 95% confidence

interval [CI], 1.03-1.16), number of elevated blood pressure readings beyond 3

(OR, 1.77; 95% CI, 1.21-2.57), increase of 1% in height-for-age percentile (OR,

1.02; 95% CI, 1.01-1.03), having an obesity-related diagnosis (OR, 2.61; 95% CI,

1.49-4.55), and number of blood pressure readings in the stage 2 hypertension

range (OR, 1.68; 95% CI, 1.29-2.19). Of 485 children and adolescents (3.4%) who

had prehypertension, 55 (11%) had an appropriate diagnosis documented in the

electronic medical record. Patient factors that increased the adjusted odds of

being diagnosed with prehypertension included a 1-year increase in age over age 3

(OR, 1.21; 95% CI, 1.09-1.34) and number of elevated blood pressure readings

beyond 3 (OR, 3.07; 95% CI, 2.20-4.28). CONCLUSIONS: Hypertension and

prehypertension were frequently undiagnosed in this pediatric population. Patient

age, height, obesity-related diagnoses, and magnitude and frequency of abnormal

blood pressure readings all increased the odds of diagnosis.

AD – School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.

FAU – Hansen, Matthew L

AU – Hansen ML

FAU – Gunn, Paul W

AU – Gunn PW

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Journal Article

PL – United States

TA – JAMA

JT – JAMA : the journal of the American Medical Association

JID – 7501160

SB – AIM

SB – IM

CIN – JAMA. 2008 Jan 9;299(2):168; author reply 168-9. PMID: 18182597

CIN – Nat Clin Pract Cardiovasc Med. 2008 Mar;5(3):128-9. PMID: 18059382

MH – Adolescent

MH – Blood Pressure

MH – Child

MH – Child, Preschool

MH – Cohort Studies

MH – Female

MH – Humans

MH – Hypertension/*diagnosis/epidemiology

MH – Logistic Models

MH – Male

MH – Reference Values

MH – Risk Factors

EDAT- 2007/08/23 09:00

MHDA- 2007/08/25 09:00

CRDT- 2007/08/23 09:00

AID – 298/8/874 [pii]

AID – 10.1001/jama.298.8.874 [doi]

PST – ppublish

SO – JAMA. 2007 Aug 22;298(8):874-9.

 

PMID- 17272092

OWN – NLM

STAT- PubMed-not-MEDLINE

DA – 20070202

DCOM- 20070918

IS – 1557-170X (Print)

IS – 1557-170X (Linking)

VI – 3

DP – 2004

TI – The next generation EKG–in vivo demonstration of noninvasive

electrocardiographic imaging during normal sinus rhythm.

PG – 1933-6

AB – Noninvasive, in vivo, reconstruction of epicardial electrical activity is needed

to help better study, understand, and treat electrical rhythm abnormalities.

Here, a new method for noninvasive electrocardiographic imaging is used to

reconstruct epicardial potentials in vivo during normal sinus rhythm. This method

used measured body surface potentials (BSPMs) and the relative geometry between

the body surface and epicardial surface from computed tomography (CT) to

reconstruct in vivo epicardial potentials during normal sinus rhythm. The

reconstructed epicardial potentials correlated qualitatively with those expected

for various aspects of normal sinus rhythm (NSR). This study shows that

noninvasively reconstructed epicardial potentials could provide useful

information on the electrical activity of the heart during normal activation and

repolarization sequences not otherwise available.

AD – Department of Internal Medicine, Case Western Reserve University, Cleveland, OH,

USA.

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Journal Article

PL – United States

TA – Conf Proc IEEE Eng Med Biol Soc

JT – Conference proceedings : … Annual International Conference of the IEEE

Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and

Biology Society. Conference

JID – 101243413

EDAT- 2007/02/03 09:00

MHDA- 2007/02/03 09:01

CRDT- 2007/02/03 09:00

AID – 10.1109/IEMBS.2004.1403572 [doi]

PST – ppublish

SO – Conf Proc IEEE Eng Med Biol Soc. 2004;3:1933-6.

 

PMID- 17238608

OWN – NLM

STAT- MEDLINE

DA – 20070122

DCOM- 20070928

LR – 20090309

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2006

TI – Assessing medical informatics confidence among 1st and 2nd year medical students.

PG – 989

AB – Currently no medical informatics curriculum is required at US medical schools. In

1998 the Association of American Medical Colleges (AAMC) Medical School

Objectives Project (MSOP) identified topics for inclusion in medical school

curriculum, categorized in five domains: Life-Long Learner, Clinician,

Educator/Communicator, Researcher, and Manager. Here we present the results of a

web-based survey of 1st and 2nd year medical students at Case Western Reserve

University (Case). The survey determined the perceived skills of 1st and 2nd year

students in the five domains of medical informatics as defined by the AAMC.

AD – Case Western Reserve University School of Medicine, Cleveland, OH, USA.

FAU – Krause, Nicholas D

AU – Krause ND

FAU – Roulette, G Dante

AU – Roulette GD

FAU – Papp, Klara K

AU – Papp KK

FAU – Kaelber, David

AU – Kaelber D

LA – eng

PT – Journal Article

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – *Computer Literacy

MH – Data Collection

MH – Education, Medical, Undergraduate

MH – Medical Informatics/*education

MH – Ohio

MH – Professional Competence

MH – Schools, Medical

MH – *Students, Medical

PMC – PMC1839636

OID – NLM: PMC1839636

EDAT- 2007/01/24 09:00

MHDA- 2007/09/29 09:00

CRDT- 2007/01/24 09:00

AID – 86056 [pii]

PST – ppublish

SO – AMIA Annu Symp Proc. 2006:989.

 

PMID- 17238461

OWN – NLM

STAT- MEDLINE

DA – 20070122

DCOM- 20070928

LR – 20091119

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2006

TI – Comparing perceptions and use of a commercial electronic medical record (EMR)

between primary care and subspecialty physicians.

PG – 841

AD – Case Western Reserve University, MetroHealth Medical Center, Cleveland, OH, USA.

FAU – Allareddy, Veerajalandhar

AU – Allareddy V

FAU – Allareddy, Veerasathpurush

AU – Allareddy V

FAU – Kaelber, David C

AU – Kaelber DC

LA – eng

PT – Comparative Study

PT – Journal Article

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Adult

MH – *Attitude of Health Personnel

MH – *Attitude to Computers

MH – Data Collection

MH – Humans

MH – *Medical Records Systems, Computerized

MH – Medicine

MH – Middle Aged

MH – Physicians, Family

MH – Specialization

PMC – PMC1839535

OID – NLM: PMC1839535

EDAT- 2007/01/24 09:00

MHDA- 2007/09/29 09:00

CRDT- 2007/01/24 09:00

AID – 86534 [pii]

PST – ppublish

SO – AMIA Annu Symp Proc. 2006:841.

 

PMID- 16779289

OWN – NLM

STAT- MEDLINE

DA – 20060616

DCOM- 20070215

LR – 20090309

IS – 1942-597X (Electronic)

IS – 1559-4076 (Linking)

DP – 2005

TI – Evaluation of a commercial electronic medical record (EMR) by primary care

physicians 5 years after implementation.

PG – 1002

AB – Electronic medical records (EMRs) are gaining increasing prominence in the

delivery of healthcare, although the focus is primarily on deploying EMRs.

Relatively little research has studied the post-implementation of commercial

EMRs. Here we present the results of a web-based survey of all the primary care

clinicians in our university affiliated, tertiary care health system. The survey

evaluated primary care clinician demographics, usage, and ideas for enhancement

of the EpicCare EMR, five year after its initial deployment throughout our

healthcare system.

AD – Case Western Reserve University, MetroHealth Medical Center, Cleveland OH, USA.

FAU – Kaelber, David

AU – Kaelber D

FAU – Greco, Peter

AU – Greco P

FAU – Cebul, Randall D

AU – Cebul RD

LA – eng

PT – Evaluation Studies

PT – Journal Article

PL – United States

TA – AMIA Annu Symp Proc

JT – AMIA … Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JID – 101209213

SB – IM

MH – Adult

MH – Attitude of Health Personnel

MH – *Attitude to Computers

MH – Data Collection

MH – Hospitals, University

MH – Humans

MH – Internal Medicine

MH – *Medical Records Systems, Computerized

MH – Medical Staff, Hospital

MH – Pediatrics

MH – Physicians, Family

MH – *Primary Health Care

PMC – PMC1560716

OID – NLM: PMC1560716

EDAT- 2006/06/17 09:00

MHDA- 2007/02/16 09:00

CRDT- 2006/06/17 09:00

AID – 58055 [pii]

PST – ppublish

SO – AMIA Annu Symp Proc. 2005:1002.

 

PMID- 16639198

OWN – NLM

STAT- MEDLINE

DA – 20060426

DCOM- 20060613

LR – 20071115

IS – 1040-2446 (Print)

IS – 1040-2446 (Linking)

VI – 81

IP – 5

DP – 2006 May

TI – Training experiences of U.S. combined internal medicine and pediatrics residents.

PG – 440-6

AB – PURPOSE: To investigate the demographics and training experiences of internal

medicine and pediatrics (med-peds) physicians. METHOD: A cross-sectional survey

addressing demographics, training experiences, and career plans of fourth-year

residents graduating from combined internal medicine and pediatrics programs that

were identified in the American Academy of Pediatrics database was initiated in

May 2003. Questionnaires were mailed up to four times to nonresponders through

August 2003. RESULTS: Valid responses were received from 212 of the 340

graduating residents (62% response rate). The majority (186/208 [89%]) reported

that they would choose med-peds training again. Career planning (135/210 [64%]),

office management (173/212 [82%]), and outpatient procedures (155/211 [73%]) were

the only areas where the majority desired more training. Neonatal intensive care

training was the only topic area that the majority of residents (142/212 [67%])

reported could have been carried out in less time. Nearly all residents (183/196

[93%]) planned to care for children and adults. Residents’ self-assessment of

their preparation was good to excellent for evidence-based medicine (192/210

[91%]), caring for patients with special health care needs (179/209 [86%]), and

use of information technology (169/208 [81%]). Residents felt equally well

prepared for postgraduate activities in internal medicine and pediatrics primary

care (170/212 [80%] versus 163/211 [77%], p = .305, NS) and internal medicine and

pediatric fellowships (186/207 [90%] versus 181/208 [87%], p = .058, NS). Only

112 of 209 residents (54%) felt their preparation for research was good to

excellent. CONCLUSIONS: The study findings suggest that med-peds residents are

satisfied with their decision to train in med-peds and with their level of

preparation. They feel equally well prepared to care for adults and children, and

well prepared to care for patients that may transition to adulthood with complex

needs, to assess evidence, and to use information technology.

AD – Michigan State University/Kalamazoo Center for Medical Studies, Kalamazoo,

Michigan, USA.

FAU – Melgar, Thomas

AU – Melgar T

FAU – Chamberlain, John K

AU – Chamberlain JK

FAU – Cull, William L

AU – Cull WL

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Kan, Brian D

AU – Kan BD

LA – eng

PT – Journal Article

PT – Research Support, Non-U.S. Gov’t

PL – United States

TA – Acad Med

JT – Academic medicine : journal of the Association of American Medical Colleges

JID – 8904605

SB – AIM

SB – IM

MH – Academic Medical Centers/*organization & administration

MH – Adult

MH – *Attitude of Health Personnel

MH – Career Choice

MH – Cross-Sectional Studies

MH – Data Collection

MH – Databases as Topic

MH – Female

MH – Humans

MH – Internal Medicine/*education

MH – Internship and Residency/*organization & administration

MH – Male

MH – Pediatrics/*education

MH – *Program Evaluation

MH – Questionnaires

MH – Time Factors

MH – United States

EDAT- 2006/04/28 09:00

MHDA- 2006/06/14 09:00

CRDT- 2006/04/28 09:00

AID – 10.1097/01.ACM.0000222276.83082.87 [doi]

AID – 00001888-200605000-00007 [pii]

PST – ppublish

SO – Acad Med. 2006 May;81(5):440-6.

 

PMID- 16291971

OWN – NLM

STAT- MEDLINE

DA – 20051118

DCOM- 20060302

LR – 20071115

IS – 0196-3635 (Print)

IS – 0196-3635 (Linking)

VI – 26

IP – 6

DP – 2005 Nov-Dec

TI – Combination therapy: medicated urethral system for erection enhances sexual

satisfaction in sildenafil citrate failure following nerve-sparing radical

prostatectomy.

PG – 757-60

AB – The objective of our study was to assess the effectiveness of combining medicated

urethral system for erection (MUSE) with sildenafil citrate in men unsatisfied

with the sildenafil alone. Baseline and follow-up data from 23 patients (mean

age, 62.5 +/- 5.23 years) unsatisfied with the use of the sildenafil citrate

alone for the treatment of erectile dysfunction following nerve-sparing radical

prostatectomy (mean use, 4 attempts/100-mg dose) was obtained. All patients

started oral sildenafil citrate more than 6 months after radical prostatectomy.

Combination therapy was initiated using 100 mg sildenafil citrate orally 1 hour

prior to intercourse. Patients used combination therapy for a minimum of 4

attempts prior to assessment with the Sexual Health Inventory of Men

(International Index for Erectile Function-5) and visual analog scale to gauge

rigidity (0-100). The effect of therapy on the total International Index for

Erectile Function (IIEF) score and penile rigidity score was assessed. Of the 23

patients, 4 (17%) had no improvement with the addition of medicated urethral

system for erection and discontinued the drug, while 19 (83%) reported

improvement with the penile rigidity and sexual satisfaction. The IIEF scores of

these 19 patients showed significant improvements in each sexual domain, and the

patients reported that erection was sufficient for vaginal penetration 80% of the

time. Rigidity scores on a scale of 0-100 with sildenafil alone averaged 38%

(23-53) for men and 46% (26-67) for their partners. With the addition of MUSE,

scores increased to 76% for men and 62% for their partners. We conclude that the

addition of MUSE to sildenafil improved sexual satisfaction and penile rigidity

in patients unsatisfied with sildenafil alone.

AD – Center for Advanced Research in Human Reproduction, Infertility, and Sexual

Function, Cleveland Clinic Foundation, OH 44105, USA. rraina@metrohealth.org

FAU – Raina, Rupesh

AU – Raina R

FAU – Nandipati, Kalyana C

AU – Nandipati KC

FAU – Agarwal, Ashok

AU – Agarwal A

FAU – Mansour, David

AU – Mansour D

FAU – Kaelber, David C

AU – Kaelber DC

FAU – Zippe, Craig D

AU – Zippe CD

LA – eng

PT – Journal Article

PL – United States

TA – J Androl

JT – Journal of andrology

JID – 8106453

RN – 0 (Piperazines)

RN – 0 (Purines)

RN – 0 (Sulfones)

RN – 139755-83-2 (sildenafil)

RN – 745-65-3 (Alprostadil)

SB – IM

MH – Alprostadil/administration & dosage/*therapeutic use

MH – Drug Therapy, Combination

MH – Erectile Dysfunction/*therapy

MH – Humans

MH – Male

MH – Penile Erection/*drug effects

MH – Piperazines/administration & dosage/*therapeutic use

MH – Prostatectomy/*adverse effects

MH – Prostatic Neoplasms/surgery

MH – Purines

MH – Sulfones

MH – Urethra/*drug effects

EDAT- 2005/11/18 09:00

MHDA- 2006/03/03 09:00

CRDT- 2005/11/18 09:00

AID – 26/6/757 [pii]

AID – 10.2164/jandrol.05035 [doi]

PST – ppublish

SO – J Androl. 2005 Nov-Dec;26(6):757-60.

 

PMID- 11346597

OWN – NLM

STAT- MEDLINE

DA – 20010510

DCOM- 20010531

LR – 20041117

IS – 1040-2446 (Print)

IS – 1040-2446 (Linking)

VI – 76

IP – 5

DP – 2001 May

TI – A Web-based clinical curriculum on the cardiac exam.

PG – 548-9

AD – Department of Internal Medicine, Metro Health Medical Center, Cleveland, OH

44109, USA. dck3@po.cwru.edu

FAU – Kaelber, D C

AU – Kaelber DC

FAU – Bierer, S B

AU – Bierer SB

FAU – Carter, J R

AU – Carter JR

LA – eng

PT – Evaluation Studies

PT – Journal Article

PL – United States

TA – Acad Med

JT – Academic medicine : journal of the Association of American Medical Colleges

JID – 8904605

SB – AIM

SB – IM

MH – Attitude of Health Personnel

MH – Cardiology/*education

MH – Clinical Competence/*standards

MH – Computer-Assisted Instruction/*methods

MH – *Curriculum

MH – Education, Medical, Undergraduate/*organization & administration

MH – Heart Diseases/*diagnosis

MH – Humans

MH – Internet/*organization & administration

MH – Ohio

MH – Physical Examination/*methods

MH – Program Evaluation

MH – Students, Medical/psychology

EDAT- 2001/05/11 10:00

MHDA- 2001/06/02 10:01

CRDT- 2001/05/11 10:00

PST – ppublish

SO – Acad Med. 2001 May;76(5):548-9.

 

PMID- 10355549

OWN – NLM

STAT- MEDLINE

DA – 19990715

DCOM- 19990715

LR – 20071114

IS – 0090-6964 (Print)

IS – 0090-6964 (Linking)

VI – 26

IP – 1

DP – 1998 Jan-Feb

TI – A field-compatible method for interpolating biopotentials.

PG – 37-47

AB – Mapping of bioelectric potentials over a given surface (e.g., the torso surface,

the scalp) often requires interpolation of potentials into regions of missing

data. Existing interpolation methods introduce significant errors when

interpolating into large regions of high potential gradients, due mostly to their

incompatibility with the properties of the three-dimensional (3D) potential

field. In this paper, an interpolation method, inverse-forward (IF)

interpolation, was developed to be consistent with Laplace’s equation that

governs the 3D field in the volume conductor bounded by the mapped surface. This

method is evaluated in an experimental heart-torso preparation in the context of

electrocardiographic body surface potential mapping. Results demonstrate that IF

interpolation is able to recreate major potential features such as a potential

minimum and high potential gradients within a large region of missing data. Other

commonly used interpolation methods failed to reconstruct major potential

features or preserve high potential gradients. An example of IF interpolation

with patient data is provided to illustrate its applicability in the actual

clinical setting. Application of IF interpolation in the context of noninvasive

reconstruction of epicardial potentials (the “inverse problem”) is also examined.

AD – Cardiac Bioelectricity Research and Training Center, Department of Biomedical

Engineering, Case Western Reserve University, Cleveland, OH 44106-7207, USA.

FAU – Burnes, J E

AU – Burnes JE

FAU – Kaelber, D C

AU – Kaelber DC

FAU – Taccardi, B

AU – Taccardi B

FAU – Lux, R L

AU – Lux RL

FAU – Ershler, P R

AU – Ershler PR

FAU – Rudy, Y

AU – Rudy Y

LA – eng

GR – GM-07535/GM/NIGMS NIH HHS/United States

GR – HL-33343/HL/NHLBI NIH HHS/United States

GR – HL-49054/HL/NHLBI NIH HHS/United States

GR – etc.

PT – Journal Article

PT – Research Support, Non-U.S. Gov’t

PT – Research Support, U.S. Gov’t, P.H.S.

PL – UNITED STATES

TA – Ann Biomed Eng

JT – Annals of biomedical engineering

JID – 0361512

SB – IM

MH – Action Potentials/physiology

MH – Animals

MH – Bias (Epidemiology)

MH – Body Surface Potential Mapping/instrumentation/*methods

MH – Child

MH – Dogs

MH – Humans

MH – Male

MH – *Numerical Analysis, Computer-Assisted/instrumentation

MH – Reproducibility of Results

MH – *Signal Processing, Computer-Assisted/instrumentation

EDAT- 1999/06/04

MHDA- 1999/06/04 00:01

CRDT- 1999/06/04 00:00

PST – ppublish

SO – Ann Biomed Eng. 1998 Jan-Feb;26(1):37-47.