Determinants of Staff Intent to Leave Health Care During the Covid-19 Pandemic
Bibliographic Data
Objectives. To identify potential drivers of health care worker attrition. Methods. We conducted a survey of 1083 nonphysician health care workers in a large urban health system in New York City from September to October 2022. Results. The results of a multivariable logistic regression analysis revealed that higher odds of intending to leave health care were significantly associated with male gender, registered nurse profession, burnout, self-perceived mental health service need, and verbal abuse from patients or visitors, whereas lower odds were seen among those reporting greater emotional well-being and a better workplace culture. A relative importance analysis indicated that burnout was the strongest correlate of intention to leave (22.5% relative variance explained [RVE]), followed by subjective emotional well-being (16.7% RVE), being a registered nurse (12.3% RVE), poorer perceived workplace culture (9.5% RVE), and male gender (5.9% RVE). Conclusions. Overall, our findings suggest the need for well-coordinated interventions that address both individual- and system-level factors in an effort to improve retention. Public Health Implications. Our results indicate a need for interventions targeting workplace culture, staff burnout, and mental health service provision. ( Am J Public Health. 2024;114(S2):S200–S203. https://doi.org/10.2105/AJPH.2024.307574 )
Burnout · Environmental health · Family medicine · Health care · Logistic regression · Mental health · Odds · Odds ratio · Psychiatry · Psychological intervention · Public health · Clinical Psychology · COVID-19 and healthcare impacts · COVID-19 and Mental Health · Healthcare professionals’ stress and burnout · Medicine · Nursing · Psychology · Gerontology
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