Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Electronic Health Record Stress and Burnout Among Clinicians in Hospital Settings: A Systematic Review
54
Zitationen
4
Autoren
2023
Jahr
Abstract
Background: There is growing evidence to suggest that EHRs may be associated with clinician stress and burnout, which could hamper their effective use and introduce risks to patient safety. Objective: This systematic review aimed to examine the association between EHR use and clinicians' stress and burnout in hospital settings, and to identify the contributing factors influencing this relationship. Methods: The search included peer-reviewed published studies between 2000 and 2023 in English in CINAHL, Ovid Medline, Embase, and PsychINFO. Studies that provided specific data regarding clinicians' stress and/or burnout related to EHRs in hospitals were included. A quality assessment of included studies was conducted. Results: Twenty-nine studies were included (25 cross-sectional surveys, one qualitative study, and three mixed methods), which focused on physicians (n = 18), nurses (n = 10) and mixed professions (n = 3). Usability issues and the amount of time spent on the EHR were the most significant predictors, but intensity of the working environment influenced high EHR-related workload and thereby also contributed to stress and burnout. The differences in clinicians' specialties influenced the levels of stress and burnout related to EHRs. Conclusions: This systematic review showed that EHR use was a perceived contributor to clinicians' stress and burnout in hospitals, primarily driven by poor usability and excessive time spent on EHRs. Addressing these issues requires tailored EHR systems, rigorous usability testing, support for the needs of different specialities, qualitative research on EHR stressors, and expanded research in Non-Western contexts.
Ähnliche Arbeiten
Machine Learning in Medicine
2019 · 3.752 Zit.
Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care
2006 · 3.173 Zit.
Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient Outcomes
2005 · 2.967 Zit.
Studies in health technology and informatics
2008 · 2.903 Zit.
An overview of clinical decision support systems: benefits, risks, and strategies for success
2020 · 2.707 Zit.