Cumulated time to chart closure: a novel electronic health record-derived metric associated with clinician burnout

Author:

Shah Madhura1,De Arrigunaga Sofia2,Forman Leah S3,West Matthew4,Rowe Susannah G567,Mishuris Rebecca G89

Affiliation:

1. Boston University Aram V. Chobanian & Edward Avedisian School of Medicine , Boston, MA 02118, United States

2. Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Medical School , Miami, FL 33136, United States

3. Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health , Boston, MA 02118, United States

4. Department of Biostatistics, Harvard T.H. Chan School of Public Health , Boston, MA 02115, United States

5. Office of Equity, Vitality and Inclusion, Boston University Medical Group , Boston, MA 02118, United States

6. Wellness and Professional Vitality, Boston Medical Center , Boston, MA 02118, United States

7. Department of Ophthalmology, Boston University Aram V. Chobanian & Edward Avedisian School of Medicine , Boston, MA 02118, United States

8. Digital, Mass General Brigham , Somerville, MA 02145, United States

9. Department of General Internal Medicine, Brigham and Women’s Hospital , Boston, MA 02115, United States

Abstract

Abstract Objective We sought to determine whether average cumulated time to chart closure (CTCC), a novel construct to measure clinician workload burden, and electronic health record (EHR) measures were associated with a validated measure of burnout. Materials and methods Physicians at a large academic institution participated in a well-being survey that was linked to their EHR use data. CTCC was defined as the average time from the start of patient encounters to chart closure over a set of encounters. Established EHR use measures including daily total time in the EHR (EHR-Time8), time in the EHR outside scheduled hours, work outside of work (WOW8), and time spent on inbox (IB-Time8) were calculated. We examined the relationship between CTCC, EHR use metrics, and burnout using descriptive statistics and adjusted logistic regression models. Results We included data from 305 attendings, encompassing 242 432 ambulatory encounters (2021). Among them, 42% (128 physicians) experienced burnout. The median CTCC for all clinicians was 32.5 h. Unadjusted analyses revealed significant associations between CTCC, WOW8, IB-Time8, and burnout. In a final adjusted model, only CTCC remained statistically significant with an odds ratio estimate of 1.42 (95% CI, 1.00-2.01). Discussion These results suggest that CTCC is predictive of burnout and that purely measuring duration of interaction with the EHR itself is not sufficient to capture burnout. Conclusion Workload burden as manifested by average CTCC has the potential to be a practical, quantifiable measure that will allow for identification of clinicians at risk of burnout and to assess the success of interventions designed to address burnout.

Funder

American Medical Association

Publisher

Oxford University Press (OUP)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3