Evidence map›Paper›PMID 31311540›Full record

ArticleBMC health services research2019

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, Tilahun Fufa

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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27citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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  5. Absenteeism of Healthcare Workers in Primary Healthcare in Sub-Saharan Africa: A Scoping Review.The International journal of health planning and management · 2025
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  8. Bedside critical care training: A quasi-experimental study in the paediatric emergency department of a referral hospital in Nigeria.The Southern African journal of critical care : the official journal of the Critical Care Society · 2024
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  9. Article
  10. Evaluation of job satisfaction among pharmacists working in public health facilities.Exploratory research in clinical and social pharmacy · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Job Satisfaction and Alcohol Consumption: Empirical Evidence from China.International journal of environmental research and public health · 2022
    Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Hailu MergaDepartment of Epidemiology, Institute of Health, Jimma University, Jimma, Ethiopia. hailu.merga2014@gmail.com.
Tilahun FufaDepartment of Health Service, Management and Policy, Institute of Health, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Job SatisfactionSalaries and Fringe BenefitsWorkplaceAdultCross-Sectional StudiesEthiopiaFemaleHealth FacilitiesHealth PersonnelHumansMalePrincipal Component AnalysisPublic HealthYoung AdultbenefitsPackagesEthiopiaHealth professionalsLevel of job satisfactionWorking environment

Identifiers

PMID31311540
PMCPMC6636107

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.