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Bmc Health Serv Res · Jul 2019
Impacts of working environment and benefits packages on the health professionals' job satisfaction in selected public health facilities in eastern Ethiopia: using principal component analysis.
- Hailu Merga and Tilahun Fufa.
- Department of Epidemiology, Institute of Health, Jimma University, Jimma, Ethiopia. hailu.merga2014@gmail.com.
- Bmc Health Serv Res. 2019 Jul 16; 19 (1): 494.
BackgroundWorld Health Organization (WHO) predicted that there will be a shortfall of skilled healthcare by 2035 with the greatest shortfall in Africa and Southeast Asia due to satisfaction with payment and incentives. Low job satisfaction of health workers can result in increased staff turnover and absenteeism, which affects the efficiency of health services. Ethiopia has been affected by a shortage of health professionals due to a brain drain of health professionals. Our study, therefore, aimed at assessing the impact of the working environment and benefits packages on the level of satisfaction among health professionals working in selected public Health facilities in Eastern Ethiopia.MethodsInstitutional based Cross-sectional study design was conducted among 422 selected health professionals in Bale Zone Public Health Facilities. After selecting 2 hospitals and 32 health centers by lottery method, proportional allocation of the sample was done for selected Hospitals and Health Centers. Then, to select individual health professional from each health center and hospital, a systematic sampling method was employed using the worker's registration log book. Then, data were collected, cleaned and entered into EpiData software version 3.1 and then exported to IBM SPSS version 21 for analysis. Both descriptive and inferential statistics were done. The principal component analysis was employed for all Likert scale instruments to extract factor(s) representing each of the scales and have factor scores, which facilitate treatment of the variables as continuous during further analysis. Using this regression factor score, multiple linear regression analysis was performed and the effect of independent variables on the regression factor score of the outcome variable was quantified. A significance level of less than 0.05 was used in all cases to judge statistical significance.ResultThis study showed that the prevalence of job satisfaction of health professionals was 38.5% (95%CI: 33.82-43.2%). Age of health professionals ((β = 0.252, (95% CI: 0.067, 0.437))), type of health facility (β = - 0.280, (95% CI; - 0.519, - 0.041), service year (β = 0.487, (95%CI: 0.025, 0.998)), supply they need to do their job (β = 0.10, (95% CI: 0.009 to 0.19)), perception of health professional on allowances (β = - 0.216, (95% CI: - 0.306, - 0.125)) and perception of health professionals on employment benefits (β = 0.225, (95% CI: 0.135 to 0.315)) were statistically significant that affect job satisfaction factor score.Conclusionlevel of job satisfaction of health professionals was found to be low. Level of job satisfaction was influenced by the age of the health professionals, type of health facility in which they were working, years of service they had in the health sectors, their working environment, professional allowance and benefits like financial rewards and benefits of being employed. Hence, policy makers and health managers need to pay special attention to increase the satisfaction of the health workforce at all levels in the health system. Moreover, special emphasis should be given for the benefits packages of health workers at different levels.
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