Evidence map›Paper›PMID 16221947›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Acute infections in primary care: accuracy of electronic diagnoses and electronic antibiotic prescribing.

Jeffrey A Linder, David W Bates, Deborah H Williams, Meghan A Connolly, Blackford Middleton

Open access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 13% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 44 citations in OpenAlex.

  1. Trial
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  4. Antibiotic prescribing for respiratory tract infection across a national primary care network in 2019.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2022
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  14. Self-reported familiarity with acute respiratory infection guidelines and antibiotic prescribing in primary care.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2010
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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

5 authors at 3 institutions in 1 country.

Jeffrey A LinderDivision of General Medicine, Brigham and Women's Hospital, 1620 Tremont Street, BC-3-2X, Boston, MA 02120, USA. jlinder@partners.org
David W Bates
Deborah H Williams
Meghan A Connolly
Blackford Middleton
Brigham and Women's Hospital · USYale University · USMass General Brigham · US

Funding

Improving Care for Acute Respiratory InfectionK08HS014563 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI LINDER, JEFFREY A. · 2004 to 2008
$402k
Trial to Reduce Antibiotic Use in A Primary Care PBRNR03HS014420 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI BATES, DAVID W · 2003 to 2004
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AHRQ HHS K08 HS014563AHRQ HHS R03 HS014420
6 · The paper itself

Abstract

objectiveTo maximize effectiveness, clinical decision-support systems must have access to accurate diagnostic and prescribing information. We measured the accuracy of electronic claims diagnoses and electronic antibiotic prescribing for acute respiratory infections (ARIs) and urinary tract infections (UTIs) in primary care.

designA retrospective, cross-sectional study of randomly selected visits to nine clinics in the Brigham and Women's Practice-Based Research Network between 2000 and 2003 with a principal claims diagnosis of an ARI or UTI (N = 827). MEASUREMENTS: We compared electronic billing diagnoses and electronic antibiotic prescribing to the gold standard of blinded chart review.

resultsClaims-derived, electronic ARI diagnoses had a sensitivity of 98%, specificity of 96%, and positive predictive value of 96%. Claims-derived, electronic UTI diagnoses had a sensitivity of 100%, specificity of 87%, and positive predictive value of 85%. According to the visit note, physicians prescribed antibiotics in 45% of ARI visits and 73% of UTI visits. Electronic antibiotic prescribing had a sensitivity of 43%, specificity of 93%, positive predictive value of 90%, and simple agreement of 64%. The sensitivity of electronic antibiotic prescribing increased over time from 22% in 2000 to 58% in 2003 (p for trend < 0.0001).

conclusionClaims-derived, electronic diagnoses for ARIs and UTIs appear accurate. Although closing, a large gap persists between antibiotic prescribing documented in the visit note and the use of electronic antibiotic prescribing. Barriers to electronic antibiotic prescribing in primary care must be addressed to leverage the potential that computerized decision-support systems offer in reducing costs, improving quality, and improving patient safety.

Indexed as

Decision Support Systems, ClinicalDiagnosis, Computer-AssistedDrug Therapy, Computer-AssistedAcute DiseaseAdultAnti-Bacterial AgentsCross-Sectional StudiesFemaleHumansMaleMedical AuditMedical Records Systems, ComputerizedPrimary Health CareRespiratory Tract InfectionsRetrospective StudiesUrinary Tract InfectionsAnti-Bacterial Agents

Identifiers

PMID16221947
PMCPMC1380198
OpenAlexW2149411758

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.