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Int. J. Environ. Res. Public Health 2017, 14(10), 1101; https://doi.org/10.3390/ijerph14101101

Job Satisfaction among Health-Care Staff in Township Health Centers in Rural China: Results from a Latent Class Analysis

1
School of Health Care Management, Key Lab of Health Economics and Policy, NHFPC (Shandong University), The Centre for Economic Research, Shandong University, Jinan 250100, China
2
School of Public Administration, Guangzhou University, Guangzhou 510006, China
3
School of Public Administration, Shandong Normal University, Jinan 250014, China
4
China Centre for Health Development Studies, Peking University, Beijing 100191, China
*
Author to whom correspondence should be addressed.
Received: 25 July 2017 / Revised: 8 September 2017 / Accepted: 19 September 2017 / Published: 22 September 2017
(This article belongs to the Special Issue Healthcare Quality and Patient Satisfaction)
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Abstract

Background: The lower job satisfaction of health-care staff will lead to more brain drain, worse work performance, and poorer health-care outcomes. The aim of this study was to identify patterns of job satisfaction among health-care staff in rural China, and to investigate the association between the latent clusters and health-care staff’s personal and professional features; Methods: We selected 12 items of five-point Likert scale questions to measure job satisfaction. A latent-class analysis was performed to identify subgroups based on the items of job satisfaction; Results: Four latent classes of job satisfaction were identified: 8.9% had high job satisfaction, belonging to “satisfied class”; 38.2% had low job satisfaction, named as “unsatisfied class”; 30.5% were categorized into “unsatisfied class with the exception of interpersonal relationships”; 22.4% were identified as “pseudo-satisfied class”, only satisfied with management-oriented items. Low job satisfaction was associated with specialty, training opportunity, and income inequality. Conclusions: The minority of health-care staff belong to the “satisfied class”. Three among four subgroups are not satisfied with income, benefit, training, and career development. Targeting policy interventions should be implemented to improve the items of job satisfaction based on the patterns and health-care staff’s features. View Full-Text
Keywords: job satisfaction; health-care staff; latent class analysis; township health center; China job satisfaction; health-care staff; latent class analysis; township health center; China
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Wang, H.; Tang, C.; Zhao, S.; Meng, Q.; Liu, X. Job Satisfaction among Health-Care Staff in Township Health Centers in Rural China: Results from a Latent Class Analysis. Int. J. Environ. Res. Public Health 2017, 14, 1101.

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