Journal of Occupational
Health and Epidemiology
Rafsanjan university Of medical sciences
Volume 11, Issue 4 (Autumn 2022)
J Occup Health Epidemiol 2022, 11(4): 302-310 |
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Bello S, Oni T, Omobowale O. Determinants of Job Satisfaction among Health Workers in Lagos State Teaching Hospital, Nigeria (2019). J Occup Health Epidemiol 2022; 11 (4) :302-310
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1- Senior Lecturer in Epidemiology, Dept. of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Nigeria , drsegunbello@yahoo.com
2- M.Sc Epidemiology, Dept. of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Nigeria
3- Lecturer in Community Medicine, Dept. of Community Medicine, Faculty of Public Health, College of Medicine, University of Ibadan, Nigeria.
2- M.Sc Epidemiology, Dept. of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Nigeria
3- Lecturer in Community Medicine, Dept. of Community Medicine, Faculty of Public Health, College of Medicine, University of Ibadan, Nigeria.
Article history
Received: 2022/08/10
Accepted: 2022/12/1
ePublished: 2022/12/26
Accepted: 2022/12/1
ePublished: 2022/12/26
Subject:
Occupational Health
Abstract: (693 Views)
Background: This study aimed to assess the determinants of job satisfaction among health workers at the Lagos State University Teaching Hospital, Nigeria.
Materials and Methods: In this survey, a descriptive design was employed among 440 health workers, including doctors, nurses, pharmacists, and laboratory scientists. The participants were recruited via systematic random sampling at every fourth interval. Besides, data were collected in 2019 using a self-administered questionnaire with items on sociodemographic characteristics (SDC), respondents’ work history (WK), and assessment of job satisfaction. The Job Satisfaction Survey tool was used to collect data on satisfaction with specific work domains. The overall job satisfaction assessed on a direct single-item scale included outcome variables. Additionally, variables of SDC, WK, and multidimensional domains were explanatory variables used in the logistic regression analysis.
Results: Age increase, being a nurse or a pharmacist as against a laboratory scientist, holding a supervisory position, and an increase in weekly work hours reduced overall job satisfaction. On the other side, the domains of job promotion, an increase in the length of service, and work conditions significantly predicted overall job satisfaction.
Conclusion: In conclusion, job promotion and work conditions were the key work domains that predicted overall job satisfaction among the health workers at the teaching hospital studied.
Materials and Methods: In this survey, a descriptive design was employed among 440 health workers, including doctors, nurses, pharmacists, and laboratory scientists. The participants were recruited via systematic random sampling at every fourth interval. Besides, data were collected in 2019 using a self-administered questionnaire with items on sociodemographic characteristics (SDC), respondents’ work history (WK), and assessment of job satisfaction. The Job Satisfaction Survey tool was used to collect data on satisfaction with specific work domains. The overall job satisfaction assessed on a direct single-item scale included outcome variables. Additionally, variables of SDC, WK, and multidimensional domains were explanatory variables used in the logistic regression analysis.
Results: Age increase, being a nurse or a pharmacist as against a laboratory scientist, holding a supervisory position, and an increase in weekly work hours reduced overall job satisfaction. On the other side, the domains of job promotion, an increase in the length of service, and work conditions significantly predicted overall job satisfaction.
Conclusion: In conclusion, job promotion and work conditions were the key work domains that predicted overall job satisfaction among the health workers at the teaching hospital studied.
Keywords: Job Satisfaction [MeSH], Surveys and Questionnaires [MeSH], Health Workforce [MeSH], Nigeria [MeSH]
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