1. Correlation Among Workplace Burnout, Resilience, and Well-Being in Nursing Staff: A Cross-Sectional Study in Taiwan.
- Author
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Shau-Tion TZENG, Bei-Yi SU, and Hsiao-Mei CHEN
- Subjects
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WORK environment , *PSYCHOLOGICAL burnout , *WELL-being , *RESEARCH , *CROSS-sectional method , *RESEARCH methodology , *MULTIPLE regression analysis , *COMPARATIVE studies , *SOCIOECONOMIC factors , *T-test (Statistics) , *HOSPITAL nursing staff , *QUESTIONNAIRES , *DESCRIPTIVE statistics , *INTERPERSONAL relations , *QUALITY of life , *RESEARCH funding , *SOCIODEMOGRAPHIC factors , *STATISTICAL correlation , *JUDGMENT sampling , *DATA analysis software , *PSYCHOLOGICAL resilience - Abstract
Background: Because nurses often work in medical environments characterized by high workloads and high levels of stress and pressure, they are particularly vulnerable to workplace burnout and their well-being may suffer. Related studies on burnout, resilience, and well-being have focused primarily on teachers, social workers, and students, with few studies addressing the situation faced by nursing staff. It is important to understand the factors affecting the well-being of nursing staff. Purpose: This study explores the status quo and correlations among nursing-staff demographic characteristics, workplace burnout, well-being-related resilience, and the predictive factors of well-being in nurses. Methods: A cross-sectional, descriptive, correlational research design and purposive sampling were used in this study. Nursing staff who had worked for more than 6 months at a medical center in central Taiwan were recruited as participants, with data from 289 participants collected. A structured questionnaire was used to collect data on demographic characteristics, workplace burnout, resilience, and well-being. Results: The average scores for workplace burnout, resilience, and well-being were 40.40/(0- to 100-point scale), 26.79/(10- to 50-point scale), and 43.25/(24- to 96-point scale), respectively. The result of the regression analysis explained about 51.6% of the variance in well-being. Furthermore, resilience (28.4%), self-perceived health (14.3%), workplace burnout (4.5%), exercise frequency (1.8%), job title (1.2%), interpersonal pressure relief resilience (0.9%), and marital status (0.5%)were other important predictive factors of well-being in the participants. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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