Association of physician burnout with perceived EHR work stress and potentially actionable factors

Author:

Tai-Seale Ming12345ORCID,Baxter Sally456ORCID,Millen Marlene45ORCID,Cheung Michael1ORCID,Zisook Sidney57ORCID,Çelebi Julie15ORCID,Polston Gregory58ORCID,Sun Bryan59ORCID,Gross Erin510ORCID,Helsten Teresa45ORCID,Rosen Rebecca15ORCID,Clay Brian45ORCID,Sinsky Christine11ORCID,Ziedonis Douglas M1213ORCID,Longhurst Christopher A45ORCID,Savides Thomas J45ORCID

Affiliation:

1. Family Medicine, UC San Diego School of Medicine , La Jolla, California, USA

2. Outcomes Analysis and Scholarship, Information Services, UC San Diego Health , La Jolla, California, USA

3. Research and Learning, Population Health Services Organization, UC San Diego Health , La Jolla, California, USA

4. Medicine, UC San Diego School of Medicine , La Jolla, California, USA

5. UC San Diego Health , La Jolla, California, USA

6. Ophthalmology, UC San Diego School of Medicine , La Jolla, California, USA

7. Psychiatry, UC San Diego School of Medicine , La Jolla, California, USA

8. Anesthesiology, UC San Diego School of Medicine , La Jolla, California, USA

9. Dermatology, UC San Diego School of Medicine , La Jolla, California, USA

10. Obstetrics and Gynecology, UC San Diego School of Medicine , La Jolla, California, USA

11. Professional Satisfaction, American Medical Association , Chicago, Illinois, USA

12. Psychiatry, University of New Mexico, School of Medicine , Albuquerque, New Mexico, USA

13. University of New Mexico Health Sciences and Health System , Albuquerque, New Mexico, USA

Abstract

Abstract Objective Physicians of all specialties experienced unprecedented stressors during the COVID-19 pandemic, exacerbating preexisting burnout. We examine burnout’s association with perceived and actionable electronic health record (EHR) workload factors and personal, professional, and organizational characteristics with the goal of identifying levers that can be targeted to address burnout. Materials and Methods Survey of physicians of all specialties in an academic health center, using a standard measure of burnout, self-reported EHR work stress, and EHR-based work assessed by the number of messages regarding prescription reauthorization and use of a staff pool to triage messages. Descriptive and multivariable regression analyses examined the relationship among burnout, perceived EHR work stress, and actionable EHR work factors. Results Of 1038 eligible physicians, 627 responded (60% response rate), 49.8% reported burnout symptoms. Logistic regression analysis suggests that higher odds of burnout are associated with physicians feeling higher level of EHR stress (odds ratio [OR], 1.15; 95% confidence interval [CI], 1.07–1.25), having more prescription reauthorization messages (OR, 1.23; 95% CI, 1.04–1.47), not feeling valued (OR, 3.38; 95% CI, 1.69–7.22) or aligned in values with clinic leaders (OR, 2.81; 95% CI, 1.87–4.27), in medical practice for ≤15 years (OR, 2.57; 95% CI, 1.63–4.12), and sleeping for <6 h/night (OR, 1.73; 95% CI, 1.12–2.67). Discussion Perceived EHR stress and prescription reauthorization messages are significantly associated with burnout, as are non-EHR factors such as not feeling valued or aligned in values with clinic leaders. Younger physicians need more support. Conclusion A multipronged approach targeting actionable levers and supporting young physicians is needed to implement sustainable improvements in physician well-being.

Funder

American Medical Association Practice Transformation Initiative

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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