FairShare evidence summary
Predictors of Burnout, Job Satisfaction, and Turnover Among CRNAs During COVID-19 Surging
Original source published:
The bottom line
Among the modifiable predictors of CRNA burnout, this study elevates two that leaders directly control: the quality of the CRNA–administration relationship and how much feedback clinicians get about their work. Improving those channels may pay off in both satisfaction and retention. Because data were collected during a COVID surge and the design is cross-sectional, the strength of these associations in steady-state practice is less certain.
What the source found
Structural equation modeling study of CRNAs; decreased job feedback, poor CRNA-administration relations, and work-over-personal-life prioritization predicted burnout; burnout correlated with job satisfaction and turnover intention; CRNA-administration relationship quality and job feedback quality were independently predictive.
Limitations and applicability
Survey during COVID surge may overestimate steady-state burnout; cross-sectional design limits causal inference.
Population and setting
U.S. CRNAs (during COVID-19 surging period)
Used in FairShare guides
About this evidence
Research question / practical issue
How does this source inform Understanding Anesthesia Burnout and Leadership, Culture, and Fairness and Retention and the Anesthesia Workforce for the population it studied?
Study design, evidence tier, and source class
Peer Reviewed Survey Study · primary source · evidence tier 1
Source type: Peer Reviewed Survey Study · primary · Evidence tier 1
Topics: Understanding Anesthesia Burnout, Leadership, Culture, and Fairness, Retention and the Anesthesia Workforce
Audience: CRNAs, Department Leaders