Evidence map›Paper›PMID 33585936›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

A retrospective look at the predictions and recommendations from the 2009 AMIA policy meeting: did we see EHR-related clinician burnout coming?

Justin B Starren, William M Tierney, Marc S Williams, Paul Tang, Charlene Weir, Ross Koppel, Philip Payne, George Hripcsak, Don E Detmer

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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.

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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Burnout in clinicians.Current problems in pediatric and adolescent health care · 2021
    Article
  7. Article
  8. Article
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

9 authors.

Justin B StarrenPreventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
William M TierneyInternal Medicine, Population Health, University of Texas at Austin Dell Medical School, Austin, Texas, USA.
Marc S WilliamsGenomic Medicine Institute, Geisinger, Danville, Pennsylvania, USA.
Paul TangClinical Excellence Research Center, Stanford University School of Medicine, Stanford, California, USA.
Charlene WeirBiomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Ross KoppelBiomedical Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Philip PayneInstitute for Informatics, Washington University School of Medicine, St. Louis, Missouri, USA.
George HripcsakBiomedical Informatics, Columbia University, New York, New York, USA.
Don E DetmerPublic Health Sciences, School of Medicine, University of Virginia, Charlottesville, Virginia, USA.

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
DISCOVERING AND APPLYING KNOWLEDGE IN CLINICAL DATABASESR01LM006910 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HRIPCSAK, GEORGE M · 2000 to 2023
$10.6M
NCATS NIH HHS UL1 TR001422NLM NIH HHS R01 LM006910
6 · The paper itself

Abstract

Clinicians often attribute much of their burnout experience to use of the electronic health record, the adoption of which was greatly accelerated by the Health Information Technology for Economic and Clinical Health Act of 2009. That same year, AMIA's Policy Meeting focused on possible unintended consequences associated with rapid implementation of electronic health records, generating 17 potential consequences and 15 recommendations to address them. At the 2020 annual meeting of the American College of Medical Informatics (ACMI), ACMI fellows participated in a modified Delphi process to assess the accuracy of the 2009 predictions and the response to the recommendations. Among the findings, the fellows concluded that the degree of clinician burnout and its contributing factors, such as increased documentation requirements, were significantly underestimated. Conversely, problems related to identify theft and fraud were overestimated. Only 3 of the 15 recommendations were adjudged more than half-addressed.

Indexed as

Burnout, ProfessionalForecastingMedical InformaticsSocieties, MedicalComputer SecurityDelphi TechniqueElectronic Health RecordsFraudHumansRetrospective StudiesUnited StatesburnoutDelphi techniqueelectronic health recordsmedical informaticspsychological

Identifiers

PMID33585936
PMCPMC8068422

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.