Evidence map›Paper›PMID 21900702›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2011

Clinician characteristics and use of novel electronic health record functionality in primary care.

Jeffrey A Linder, Nancy A Rigotti, Louise I Schneider, Jennifer H K Kelley, Phyllis Brawarsky, Jeffrey L Schnipper, Blackford Middleton, Jennifer S Haas

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Use of electronic health records to support smoking cessation.The Cochrane database of systematic reviews · 2014
    Pooled it
  2. Trial
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  4. Article
  5. Article
  6. Review
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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

8 authors at 3 institutions in 1 country.

Jeffrey A LinderDivision of General Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts 02120, USA. jlinder@partners.org
Nancy A Rigotti
Louise I Schneider
Jennifer H K Kelley
Phyllis Brawarsky
Jeffrey L Schnipper
Blackford Middleton
Jennifer S Haas
Brigham and Women's Hospital · USHarvard University · USMassachusetts General Hospital · US

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
Computerized EMR-Assisted Smoking Cessation (CEASCE)R21CA121906 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HAAS, JENNIFER S · 2006 to 2007
$346k
AHRQ HHS K08 HS014563AHRQ HHS R01 HS015169AHRQ HHS R01 HS015169-01NCI NIH HHS R21 CA121906NHLBI NIH HHS 1K08 HL072806-01NHLBI NIH HHS K08 HL072806
6 · The paper itself

Abstract

backgroundConventional wisdom holds that older, busier clinicians who see complex patients are less likely to adopt and use novel electronic health record (EHR) functionality.

methodsTo compare the characteristics of clinicians who did and did not use novel EHR functionality, we conducted a retrospective analysis of the intervention arm of a randomized trial of new EHR-based tobacco treatment functionality.

resultsThe novel functionality was used by 103 of 207 (50%) clinicians. Staff physicians were more likely than trainees to use the functionality (64% vs 37%; p<0.001). Clinicians who graduated more than 10 years previously were more likely to use the functionality than those who graduated less than 10 years previously (64% vs 42%; p<0.01). Clinicians with higher patient volumes were more likely to use the functionality (lowest quartile of number of patient visits, 25%; 2nd quartile, 38%; 3rd quartile, 65%; highest quartile, 71%; p<0.001). Clinicians who saw patients with more documented problems were more likely to use the functionality (lowest tertile of documented patient problems, 38%; 2nd tertile, 58%; highest tertile, 54%; p=0.04). In multivariable modeling, independent predictors of use were the number of patient visits (OR 1.2 per 100 additional patients; 95% CI 1.1 to 1.4) and number of documented problems (OR 2.9 per average additional problem; 95% CI 1.4 to 6.1).

conclusionsContrary to conventional wisdom, clinically busier physicians seeing patients with more documented problems were more likely to use novel EHR functionality.

Indexed as

Physicians, Primary CareAdultElectronic Health RecordsHumansLogistic ModelsMiddle AgedMultivariate AnalysisPrimary Health CareRetrospective StudiesSmoking Cessation

Identifiers

PMID21900702
PMCPMC3241168
OpenAlexW2113072689

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.