Wu Yuxuan, Wu Mingyue, Wang Changyu, Lin Jie, Liu Jialin, Liu Siru
Department of Medical Informatics, West China Hospital, Sichuan University, Chengdu, China.
Information Center, West China Hospital, Sichuan University, Chengdu, China.
JMIR Med Inform. 2024 Jun 12;12:e54811. doi: 10.2196/54811.
Burnout among health care professionals is a significant concern, with detrimental effects on health care service quality and patient outcomes. The use of the electronic health record (EHR) system has been identified as a significant contributor to burnout among health care professionals.
This systematic review and meta-analysis aims to assess the prevalence of burnout among health care professionals associated with the use of the EHR system, thereby providing evidence to improve health information systems and develop strategies to measure and mitigate burnout.
We conducted a comprehensive search of the PubMed, Embase, and Web of Science databases for English-language peer-reviewed articles published between January 1, 2009, and December 31, 2022. Two independent reviewers applied inclusion and exclusion criteria, and study quality was assessed using the Joanna Briggs Institute checklist and the Newcastle-Ottawa Scale. Meta-analyses were performed using R (version 4.1.3; R Foundation for Statistical Computing), with EndNote X7 (Clarivate) for reference management.
The review included 32 cross-sectional studies and 5 case-control studies with a total of 66,556 participants, mainly physicians and registered nurses. The pooled prevalence of burnout among health care professionals in cross-sectional studies was 40.4% (95% CI 37.5%-43.2%). Case-control studies indicated a higher likelihood of burnout among health care professionals who spent more time on EHR-related tasks outside work (odds ratio 2.43, 95% CI 2.31-2.57).
The findings highlight the association between the increased use of the EHR system and burnout among health care professionals. Potential solutions include optimizing EHR systems, implementing automated dictation or note-taking, employing scribes to reduce documentation burden, and leveraging artificial intelligence to enhance EHR system efficiency and reduce the risk of burnout.
PROSPERO International Prospective Register of Systematic Reviews CRD42021281173; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021281173.
医疗保健专业人员的职业倦怠是一个重大问题，对医疗服务质量和患者治疗结果有不利影响。电子健康记录（EHR）系统的使用已被确定为导致医疗保健专业人员职业倦怠的一个重要因素。
本系统评价和荟萃分析旨在评估与使用EHR系统相关的医疗保健专业人员职业倦怠的患病率，从而为改善健康信息系统以及制定测量和减轻职业倦怠的策略提供证据。
我们对PubMed、Embase和Web of Science数据库进行了全面检索，以查找2009年1月1日至2022年12月31日期间发表的英文同行评审文章。两名独立评审员应用纳入和排除标准，并使用乔安娜·布里格斯研究所检查表和纽卡斯尔-渥太华量表评估研究质量。使用R（版本4.1.3；R统计计算基金会）进行荟萃分析，使用EndNote X7（科睿唯安）进行参考文献管理。
该评价纳入了32项横断面研究和5项病例对照研究，共有66556名参与者，主要是医生和注册护士。横断面研究中医疗保健专业人员职业倦怠的合并患病率为40.4%（95%CI 37.5%-43.2%）。病例对照研究表明，在工作之外花更多时间处理与EHR相关任务的医疗保健专业人员出现职业倦怠的可能性更高（优势比2.43，95%CI 2.31-2.57）。
研究结果突出了EHR系统使用增加与医疗保健专业人员职业倦怠之间的关联。潜在的解决方案包括优化EHR系统、实施自动听写或记录、雇佣抄写员以减轻文档负担，以及利用人工智能提高EHR系统效率并降低职业倦怠风险。
国际前瞻性系统评价注册库PROSPERO CRD42021281173；https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021281173 。
