Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Nov 27, 2023
Open Peer Review Period: Nov 22, 2023 - Dec 11, 2023
Date Accepted: Apr 17, 2024
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Evaluating the Prevalence of Burnout Among Healthcare Professionals Related to Electronic Health Record Use: A Systematic Review and Meta-Analysis
ABSTRACT
Background:
The high prevalence of burnout among healthcare professionals has become a major concern in the medical landscape, which may lead to poor healthcare service and patient prognosis.
Objective:
This systematic review and meta-analysis attempted to provide a comprehensive understanding of the prevalence of clinician burnout related to electronic health records (EHR) thus providing ideas for improving health information systems and measuring and mitigating burnout.
Methods:
We searched peer-reviewed English articles published between January.1st, 2011 and December.31st, 2022 in PubMed, Embase, the Web of Science, Springer, and IEEE databases comprehensively. Two reviewers independently selected and assessed the included studies according to the inclusion and exclusion criteria. We evaluated the bias and quality of the studies with the JBI checklist and the NOS scale. Meta-analysis was performed using EndNote X7 and R 4.1.3 software.
Results:
There were 32 cross-sectional studies and 5 case-control studies included in this meta-analysis and 66556 participants dominated by physicians, registered nurses, and a small number of physician assistants. The clinical professionals’ overall pooled burnout prevalence of cross-sectional studies included is 40.36% (95%CI: 37.54%-43.18%). The case-control studies indicated that medical professionals who spent more time on the EHR outside-work were more prone to experience burnout. (OR: 2.43, 95% CI: 2.31-2.57).
Conclusions:
The evidence explored the relationship between the use duration of the EHR and clinician burnout. Solutions include optimizing EHR design, automated dictation/note writing, and using scribes to reduce documentation burden. Clinical Trial: This systematic review was registered on PROSPERO (CRD42021281173).
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.