Evidence map›Paper›PMID 22610494›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Method of electronic health record documentation and quality of primary care.

Jeffrey A Linder, Jeffrey L Schnipper, Blackford Middleton

Registry-linked trialAbstract read
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. It is linked to trial NCT00235040 (Evaluating Smart Forms and Quality Dashboards in an EHR), which is not on this map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 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.

NCT00235040 nacompletednot on this map

Evaluating Smart Forms and Quality Dashboards in an EHR: Effectiveness of the Acute Respiratory Infection Smart Form

TypeinterventionalSponsorAgency for Healthcare Research and Quality (AHRQ)Ran2005 to 2007Enrolled18,257ConditionsRespiratory Tract InfectionsArmsSmart Form
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. An electronic documentation system improves the quality of admission notes: a randomized trial.Journal of the American Medical Informatics Association : JAMIA · 2017
    Trial
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  10. Observational
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  12. Article
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  15. Review
  16. Forced Inefficiencies of the Electronic Health Record.Journal of general internal medicine · 2019
    Article
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  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Jeffrey A LinderDivision of General Medicine and Primary Care, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. jlinder@partners.org
Jeffrey L Schnipper
Blackford Middleton

Funding

Using Information Systems to Improve Cardiac PreventionK08HL072806 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHNIPPER, JEFFREY LAWRENCE · 2003 to 2007
$669k
Improving Care for Acute Respiratory InfectionK08HS014563 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI LINDER, JEFFREY A. · 2004 to 2008
$402k
Evaluating Smart Forms and Quality Dashboards in an EHRR01HS015169 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI MIDDLETON, BLACKFORD · 2004 to 2006
$393k
AHRQ HHS K08 HS014563AHRQ HHS R01 HS015169NHLBI NIH HHS K08 HL072806
6 · The paper itself

Abstract

objectivePhysicians who more intensively interact with electronic health records (EHRs) through their documentation style may pay greater attention to coded fields and clinical decision support and thus may deliver higher quality care. We measured the quality of care of physicians who used three predominating EHR documentation styles: dictation, structured documentation, and free text.

methodsWe conducted a retrospective analysis of visits by patients with coronary artery disease and diabetes to the Partners Primary Care Practice Based Research Network. The main outcome measures were 15 EHR-based coronary artery disease and diabetes measures assessed 30 days after primary care visits.

resultsDuring the 9-month study period, 7000 coronary artery disease and diabetes patients made 18 569 visits to 234 primary care physicians of whom 20 (9%) predominantly dictated their notes, 68 (29%) predominantly used structured documentation, and 146 (62%) predominantly typed free text notes. In multivariable modeling adjusted for clustering by patient and physician, quality of care appeared significantly worse for dictators than for physicians using the other two documentation styles on three of 15 measures (antiplatelet medication, tobacco use documentation, and diabetic eye exam); better for structured documenters for three measures (blood pressure documentation, body mass index documentation, and diabetic foot exam); and better for free text documenters on one measure (influenza vaccination). There was no measure for which dictators had higher quality of care than physicians using the other two documentation styles.

conclusionsEHR-assessed quality is necessarily documentation-dependent, but physicians who dictated their notes appeared to have worse quality of care than physicians who used structured EHR documentation. CLINICAL TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Identifier: NCT00235040.

Indexed as

Practice Patterns, Physicians'Quality of Health CareAdultAgedCoronary DiseaseCross-Sectional StudiesDiabetes MellitusDocumentationElectronic Health RecordsFemaleHumansMaleMiddle AgedMultivariate AnalysisPrimary Health CareRetrospective Studies

Identifiers

PMID22610494
PMCPMC3534457

What OpenQuestion holds

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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.