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- Title
Job Satisfaction Differences between Primary Health Care and Treatment Sectors: An Experience from Iran.
- Authors
Bagheri, Shokoufe; Janati, Ali; Kousha, Ahmad; Sadeghi-Bazargani, Homayoun; Asghari-Jafarabadi, Mohammad; Farahbakhsh, Mostafa
- Abstract
Background: The aim of this study was to compare the levels of job satisfaction and its predictors among primary health care and treatment sectors' staff in East Azerbaijan Province, Iran. Methods: This comparative study was conducted in East Azerbaijan Province, Iran in 2011. A questionnaire survey was performed on 420 staff from health care and treatment sectors using multi-stage proportional cluster sampling method. Job satisfaction was measured in five aspects namely: structural and managerial; individual; social; work-itself; environmental and welfare job satisfaction factors. The job satisfaction measurement score was normalized to fall into a range of zero to 100. Statistical analyses were performed using Friedman and independent sample t-tests. Results: Overall satisfaction in health and treatment sectors was moderate with a mean score above 50. Hospital General Practitioners reported significantly higher job satisfaction score (mean ± SD=57.34 ± 17.02) compared to health care center General Practitioners (mean ± SD= 31.74±14.99). The highest satisfaction scores belonged to individual factors both in health care sector staff (64.83±18.50) and treatment sector staff (63.55±17.44). The lowest job satisfaction was observed with environmental and welfare factors (38.47±19.86 and 36.83±19.86, respectively). Conclusion: The job satisfaction significantly differs between primary health care and treatment sectors. Based on the results, environmental and welfare factors may be targeted to improve the job satisfaction in public health care system.
- Subjects
IRAN; CLUSTER analysis (Statistics); FOCUS groups; JOB satisfaction; MEDICAL personnel; PRIMARY health care; PROBABILITY theory; QUESTIONNAIRES; RELIABILITY (Personality trait); RESEARCH evaluation; RESEARCH funding; STATISTICAL sampling; SCALE analysis (Psychology); SURVEYS; T-test (Statistics); JUDGMENT sampling; DATA analysis software
- Publication
Health Promotion Perspectives, 2013, Vol 3, Issue 1, p90
- ISSN
2228-6497
- Publication type
Article
- DOI
10.5681/hpp.2013.011