Electronic Health Record Use Patterns Among Well-Being Survey Responders and Nonresponders: Longitudinal Observational Study

EHR use measures showed limited utility for predicting burnout symptoms but allowed discrimination between responders and nonresponders. These measures may enable qualitative interpretations of the effects of nonresponders and may inform survey response maximization efforts.

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Publication Details

Journal
JMIR Medical Informatics
Published
2024-12-25
DOI
https://doi.org/10.2196/64722
Citations
3
Primary Topic
Patient Satisfaction in Healthcare
Type
article
Field-Weighted Citation Impact
2.55
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article

Electronic Health Record Use Patterns Among Well-Being Survey Responders and Nonresponders: Longitudinal Observational Study

Tait D. Shanafelt, Daniel Tawfik, Jochen Profit, Mohsen Bayati
3 citations
JMIR Medical Informatics
Patient Satisfaction in Healthcare
2.55
article

Electronic Health Record Use Patterns Among Well-Being Survey Responders and Nonresponders: Longitudinal Observational Study

Tait D. Shanafelt, Daniel Tawfik, Jochen Profit, Mohsen Bayati
article en
3 citations

Abstract

EHR use measures showed limited utility for predicting burnout symptoms but allowed discrimination between responders and nonresponders. These measures may enable qualitative interpretations of the effects of nonresponders and may inform survey response maximization efforts.

JMIR Medical InformaticsVol. 13
Stanford Medicine (US), Stanford University (US)
Quality Education
Openalex Percentile: Top 9%
Patient Satisfaction in Healthcare
2.55
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