Determinants of Staff Intent to Leave Health Care During the COVID-19 Pandemic
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).
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:114 |
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| Enthalten in: |
American journal of public health - 114(2024), S2 vom: 14. Feb., Seite 200-203 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
DePierro, Jonathan M [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 16.02.2024 Date Revised 08.03.2024 published: Print Citation Status MEDLINE |
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| doi: |
10.2105/AJPH.2024.307574 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM368444589 |
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| 520 | |a 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) | ||
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