Journal Article

Electronic medical records and physician stress in primary care: results from the MEMO Study

Stewart Babbott, Linda Baier Manwell, Roger Brown, Enid Montague, Eric Williams, Mark Schwartz, Erik Hess and Mark Linzer

in Journal of the American Medical Informatics Association

Published on behalf of American Medical Informatics Association

Volume 21, issue e1, pages e100-e106
Published in print February 2014 | ISSN: 1067-5027
Published online September 2013 | e-ISSN: 1527-974X | DOI: https://dx.doi.org/10.1136/amiajnl-2013-001875
Electronic medical records and physician stress in primary care: results from the MEMO Study

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  • Medical Statistics and Methodology
  • Bioinformatics and Computational Biology
  • Biomathematics and Statistics

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Abstract

Background Little has been written about physician stress that may be associated with electronic medical records (EMR).

Objective We assessed relationships between the number of EMR functions, primary care work conditions, and physician satisfaction, stress and burnout.

Design and participants 379 primary care physicians and 92 managers at 92 clinics from New York City and the upper Midwest participating in the 2001–5 Minimizing Error, Maximizing Outcome (MEMO) Study. A latent class analysis identified clusters of physicians within clinics with low, medium and high EMR functions.

Main measures We assessed physician-reported stress, burnout, satisfaction, and intent to leave the practice, and predictors including time pressure during visits. We used a two-level regression model to estimate the mean response for each physician cluster to each outcome, adjusting for physician age, sex, specialty, work hours and years using the EMR. Effect sizes (ES) of these relationships were considered small (0.14), moderate (0.39), and large (0.61).

Key results Compared to the low EMR cluster, physicians in the moderate EMR cluster reported more stress (ES 0.35, p=0.03) and lower satisfaction (ES −0.45, p=0.006). Physicians in the high EMR cluster indicated lower satisfaction than low EMR cluster physicians (ES −0.39, p=0.01). Time pressure was associated with significantly more burnout, dissatisfaction and intent to leave only within the high EMR cluster.

Conclusions Stress may rise for physicians with a moderate number of EMR functions. Time pressure was associated with poor physician outcomes mainly in the high EMR cluster. Work redesign may address these stressors.

Keywords: electronic medical records; stress, psychological; primary care; outpatient clinics; physicians

Journal Article.  4453 words.  Illustrated.

Subjects: Medical Statistics and Methodology ; Bioinformatics and Computational Biology ; Biomathematics and Statistics

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