Quality of work-life and associated factors among nurses working in Wollega zones public hospitals, West Ethiopia: A cross-sectional study
Background: Health care organizations should emphasize their professional quality of work-life to retain committed and qualified employees. Improvement of quality of work-life among health care providers, particularly nurses, positively affects patient outcomes. However, little information is known...
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2022-01-01T00:00:00Z.
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LEADER | 00000 am a22000003u 4500 | ||
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001 | doaj_c60b672966a24e5cb67f81c845cb6a9c | ||
042 | |a dc | ||
100 | 1 | 0 | |a Getu Mosisa |e author |
700 | 1 | 0 | |a Muktar Abadiga |e author |
700 | 1 | 0 | |a Adugna Oluma |e author |
700 | 1 | 0 | |a Bizuneh Wakuma |e author |
245 | 0 | 0 | |a Quality of work-life and associated factors among nurses working in Wollega zones public hospitals, West Ethiopia: A cross-sectional study |
260 | |b Elsevier, |c 2022-01-01T00:00:00Z. | ||
500 | |a 2214-1391 | ||
500 | |a 10.1016/j.ijans.2022.100466 | ||
520 | |a Background: Health care organizations should emphasize their professional quality of work-life to retain committed and qualified employees. Improvement of quality of work-life among health care providers, particularly nurses, positively affects patient outcomes. However, little information is known about the quality of work-life among nurses in Ethiopia. Therefore, this study aimed to assess the quality of work-life and associated factors among nurses working in Wollega zones in public hospitals, West Ethiopia. Methods: An institutional-based cross-sectional study was conducted on 212 nurses from November to December 2018. The study participants were selected using a simple random sampling method. Data were collected using a self-administered questionnaire and were entered into Epi-data version 3.1 and exported into SPSS version 20.0 for analysis. The binary logistic regression model was conducted to assess the association between the quality of work-life and each independent variable. Multivariable logistic regressions were used to identify factors associated with the quality of work-life and the statistical significance was declared at a p-value of <0.05. Result: A total of 212 nurses were involved in the study (response rate 92.17 %). The majority (61.3 %) of the respondents were males. The mean age of the respondent was 28.36 (SD = 4.1) years. The study revealed that about 108(50.9 %) of nurses had a good quality of work-life. Nurses who have no dependent family were 2.73 times more likely to have a good quality of work-life compared to those who have a dependent family (AOR 2.73, 95 % CI: 1.38, 5.39). Nurses whose monthly income 446-5294 were 2.39times more likely to have a good quality of work-life compared to those who got less than 3653 (AOR 2.39 95 % CI: 1.08, 5.27). Conclusion: Nearly half of the nurses had poor quality of work life. Monthly income and the presence of a dependent family were identified factors associated with quality of work life. Therefore, hospital management, concerned stakeholders, and policymakers are suggested to enhance nurses' quality of work-life by improving their salary, work environment, and workload. | ||
546 | |a EN | ||
690 | |a Nurses | ||
690 | |a Quality of work-life | ||
690 | |a Wollega Zones | ||
690 | |a History of Africa | ||
690 | |a DT1-3415 | ||
690 | |a Nursing | ||
690 | |a RT1-120 | ||
655 | 7 | |a article |2 local | |
786 | 0 | |n International Journal of Africa Nursing Sciences, Vol 17, Iss , Pp 100466- (2022) | |
787 | 0 | |n http://www.sciencedirect.com/science/article/pii/S2214139122000737 | |
787 | 0 | |n https://doaj.org/toc/2214-1391 | |
856 | 4 | 1 | |u https://doaj.org/article/c60b672966a24e5cb67f81c845cb6a9c |z Connect to this object online. |