» Articles » PMID: 29785625

Exploring the Association Between Electronic Health Record Use and Burnout Among Psychiatry Residents and Faculty: a Pilot Survey Study

Overview
Journal Acad Psychiatry
Publisher Springer
Specialty Psychiatry
Date 2018 May 23
PMID 29785625
Citations 26
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: Burnout is a phenomenon with profound negative effects on the US healthcare system. Little is known about the relationship between time spent working on electronic health record (EHR) and burnout among psychiatry residents. The purpose of this study is to generate preliminary data on EHR use and burnout among psychiatry residents and faculty.

Methods: In August 2017, psychiatry residents and faculty at an academic medical center were given the Maslach Burnout Inventory (MBI), a standardized measurement tool for burnout, and a survey of factors related to EHR use and potential risk factors for burnout. MBI data along with selected burnout risk and protective factors were analyzed with R Studio software.

Results: Responses were obtained from 40 psychiatry residents (73%) and 12 clinical faculty members (40%). Residents reported 22 h per week using EHR on average. Mean score of residents surveyed in postgraduate year (PGY)-1-4 met criteria for high emotional exhaustion associated with burnout. The magnitude of correlation between EHR use and emotional exhaustion was stronger than for other burnout factors including sleep, exercise, and clinical service.

Conclusions: Psychiatry residents show signs of high emotional exhaustion, which is associated with burnout. Results demonstrate a strong positive correlation between EHR use and resident burnout. Time spent on EHR use may be an area of importance for psychiatry program directors and other psychiatric educators to consider when seeking to minimize burnout and promote wellness.

Citing Articles

Gender Disparities in Electronic Health Record Usage and Inbasket Burden for Internal Medicine Residents.

Liddell S, Tomasi A, Halvorsen A, Vaa Stelling B, Leasure E J Gen Intern Med. 2024; 39(15):2904-2909.

PMID: 38926324 PMC: 11576718. DOI: 10.1007/s11606-024-08861-0.


Generative Language Models and Open Notes: Exploring the Promise and Limitations.

Blease C, Torous J, McMillan B, Hagglund M, Mandl K JMIR Med Educ. 2024; 10:e51183.

PMID: 38175688 PMC: 10797501. DOI: 10.2196/51183.


Occupational Psychosocial Risks and Quality of Professional Life in Service Sector Workers with Sensory Processing Sensitivity.

Chacon A, Avargues-Navarro M, Perez-Chacon M, Borda-Mas M Behav Sci (Basel). 2023; 13(6).

PMID: 37366749 PMC: 10294779. DOI: 10.3390/bs13060496.


Digital disparities among healthcare workers in typing speed between generations, genders, and medical specialties: cross sectional study.

Schuurman A, Baarsma M, Wiersinga W, Hovius J BMJ. 2022; 379:e072784.

PMID: 36535672 PMC: 9762353. DOI: 10.1136/bmj-2022-072784.


Burn-out and relationship with the learning environment among psychiatry residents: a longitudinal study.

Chew Q, Cleland J, Sim K BMJ Open. 2022; 12(9):e060148.

PMID: 36123086 PMC: 9486328. DOI: 10.1136/bmjopen-2021-060148.