Evidence map›Paper›PMID 17548848›Full record

ArticleAnnals of family medicine

Electronic medical records and diabetes quality of care: results from a sample of family medicine practices.

Jesse C Crosson, Pamela A Ohman-Strickland, Karissa A Hahn, Barbara DiCicco-Bloom, Eric Shaw, A John Orzano, Benjamin F Crabtree

Registry-linked trialAbstract read
In one paragraph

Article in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00201227 (Using Learning Teams for Reflective Adaptation), which is not on this map. Cited by 35 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT00201227 nacompletednot on this map

Using Learning Teams for Reflective Adaptation

TypeinterventionalSponsorUniversity of Medicine and Dentistry of New JerseyRan2002 to 2008Enrolled60ConditionsAsthma, Cardiovascular Diseases, Atherosclerosis, Diabetes MellitusArmspractice guideline adherence
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  16. A typology of electronic health record workarounds in small-to-medium size primary care practices.Journal of the American Medical Informatics Association : JAMIA · 2014
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  20. Implementation of electronic medical records: theory-informed qualitative study.Canadian family physician Medecin de famille canadien · 2011
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jesse C CrossonDepartment of Family Medicine, UMDNJ-New Jersey Medical School, Newark, NJ 07103, USA. jesse.crosson@umdnj.edu
Pamela A Ohman-Strickland
Karissa A Hahn
Barbara DiCicco-Bloom
Eric Shaw
A John Orzano
Benjamin F Crabtree

Funding

Trial to Enhance Adherence to Multiple GuidelinesR01HL070800 · NHLBI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI CRABTREE, BENJAMIN F · 2002 to 2006
$3.9M
NHLBI NIH HHS R01 HL 70800-01
6 · The paper itself

Abstract

purposeCare of patients with diabetes requires management of complex clinical information, which may be improved by the use of an electronic medical record (EMR); however, the actual relationship between EMR usage and diabetes care quality in primary care settings is not well understood. We assessed the relationship between EMR usage and diabetes care quality in a sample of family medicine practices.

methodsWe conducted cross-sectional analyses of baseline data from 50 practices participating in a practice improvement study. Between April 2003 and December 2004 chart auditors reviewed a random sample of medical records from patients with diabetes in each practice for adherence to guidelines for diabetes processes of care, treatment, and achievement of intermediate outcomes. Practice leaders provided medical record system information. We conducted multivariate analyses of the relationship between EMR usage and diabetes care adjusting for potential practice- and patient-level confounders and practice-level clustering.

resultsDiabetes care quality in all practices showed room for improvement; however, after adjustment, patient care in the 37 practices not using an EMR was more likely to meet guidelines for process (odds ratio [OR], 2.25; 95% confidence interval [CI], 1.42-3.57) treatment (OR, 1.67; 95% CI, 1.07-2.60), and intermediate outcomes (OR, 2.68; 95% CI, 1.49-4.82) than in the 13 practices using an EMR.

conclusionsThe use of an EMR in primary care practices is insufficient for insuring high-quality diabetes care. Efforts to expand EMR use should focus not only on improving technology but also on developing methods for implementing and integrating this technology into practice reality.

Indexed as

Family PracticeGuideline AdherenceMedical Records Systems, ComputerizedOutcome and Process Assessment, Health CareAdultAgedDiabetes MellitusFemaleHumansMaleMedical AuditMiddle AgedPractice Guidelines as TopicRetrospective Studies

Identifiers

PMID17548848
PMCPMC1886493

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.