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Job satisfaction, burnout, and turnover intention among primary care providers in rural China: results from structural equation modeling

BACKGROUND: Low job satisfaction, severe burnout and high turnover intention are found to be prevalent among the primary care providers (PCPs) in township health centers (THCs), but their associations have received scant attention in the literature. In light of this, this study aims to examine the r...

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Autores principales: Wang, Haipeng, Jin, Yinzi, Wang, Dan, Zhao, Shichao, Sang, Xingang, Yuan, Beibei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961377/
https://www.ncbi.nlm.nih.gov/pubmed/31941455
http://dx.doi.org/10.1186/s12875-020-1083-8
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author Wang, Haipeng
Jin, Yinzi
Wang, Dan
Zhao, Shichao
Sang, Xingang
Yuan, Beibei
author_facet Wang, Haipeng
Jin, Yinzi
Wang, Dan
Zhao, Shichao
Sang, Xingang
Yuan, Beibei
author_sort Wang, Haipeng
collection PubMed
description BACKGROUND: Low job satisfaction, severe burnout and high turnover intention are found to be prevalent among the primary care providers (PCPs) in township health centers (THCs), but their associations have received scant attention in the literature. In light of this, this study aims to examine the relationships between job satisfaction, burnout and turnover intention, and explore the predictors of turnover intention with a view to retaining PCPs in rural China. METHODS: Using the multistage cluster sampling method, a cross-sectional survey was conducted in Shandong Province, China. 1148 PCPs from 47 THCs participated in this study. Job satisfaction, burnout and turnover intention were measured with a multifaceted instrument developed based on the existing literature, the Maslach Burnout Inventory and the participants’ responses to a Likert item drawn from the literature, respectively. The relationships of the three factors were examined using Pearson correlation and structural equation modeling, while the predictors of turnover intention were investigated using multivariate logistic regression. RESULTS: The subscale that the PCPs were most dissatisfied with was job rewards (95.12%), followed by working environment (49.65%) and organizational management (47.98%). The percentages of the PCPs reporting high-levels of emotional exhaustion, depersonalization and reduced personal accomplishment were 27.66, 6.06, and 38.74%, respectively. About 14.06% of the respondents had high turnover intention. There was a significant direct effect of job satisfaction on burnout (γ = − 0.52) and turnover intention (γ = − 0.29), a significant direct effect of burnout on turnover intention (γ = 0.28), and a significant indirect effect (γ = − 0.14) of job satisfaction on turnover intention through burnout as a mediator. Work environment satisfaction, medical practicing environment satisfaction, and organizational management satisfaction proved to be negative predictors of turnover intention (p < 0.05), whereas reduced personal accomplishment was identified as a positive predictor (p < 0.05). CONCLUSIONS: Plagued by low job satisfaction and severe burnout, the PCPs in rural China may have high turnover intentions. Job satisfaction had not only negative direct effects on burnout and turnover intention, but also an indirect effect on turnover intention through burnout as a mediator. Targeted strategies should be taken to motivate and retain the PCPs.
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spelling pubmed-69613772020-01-17 Job satisfaction, burnout, and turnover intention among primary care providers in rural China: results from structural equation modeling Wang, Haipeng Jin, Yinzi Wang, Dan Zhao, Shichao Sang, Xingang Yuan, Beibei BMC Fam Pract Research Article BACKGROUND: Low job satisfaction, severe burnout and high turnover intention are found to be prevalent among the primary care providers (PCPs) in township health centers (THCs), but their associations have received scant attention in the literature. In light of this, this study aims to examine the relationships between job satisfaction, burnout and turnover intention, and explore the predictors of turnover intention with a view to retaining PCPs in rural China. METHODS: Using the multistage cluster sampling method, a cross-sectional survey was conducted in Shandong Province, China. 1148 PCPs from 47 THCs participated in this study. Job satisfaction, burnout and turnover intention were measured with a multifaceted instrument developed based on the existing literature, the Maslach Burnout Inventory and the participants’ responses to a Likert item drawn from the literature, respectively. The relationships of the three factors were examined using Pearson correlation and structural equation modeling, while the predictors of turnover intention were investigated using multivariate logistic regression. RESULTS: The subscale that the PCPs were most dissatisfied with was job rewards (95.12%), followed by working environment (49.65%) and organizational management (47.98%). The percentages of the PCPs reporting high-levels of emotional exhaustion, depersonalization and reduced personal accomplishment were 27.66, 6.06, and 38.74%, respectively. About 14.06% of the respondents had high turnover intention. There was a significant direct effect of job satisfaction on burnout (γ = − 0.52) and turnover intention (γ = − 0.29), a significant direct effect of burnout on turnover intention (γ = 0.28), and a significant indirect effect (γ = − 0.14) of job satisfaction on turnover intention through burnout as a mediator. Work environment satisfaction, medical practicing environment satisfaction, and organizational management satisfaction proved to be negative predictors of turnover intention (p < 0.05), whereas reduced personal accomplishment was identified as a positive predictor (p < 0.05). CONCLUSIONS: Plagued by low job satisfaction and severe burnout, the PCPs in rural China may have high turnover intentions. Job satisfaction had not only negative direct effects on burnout and turnover intention, but also an indirect effect on turnover intention through burnout as a mediator. Targeted strategies should be taken to motivate and retain the PCPs. BioMed Central 2020-01-15 /pmc/articles/PMC6961377/ /pubmed/31941455 http://dx.doi.org/10.1186/s12875-020-1083-8 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wang, Haipeng
Jin, Yinzi
Wang, Dan
Zhao, Shichao
Sang, Xingang
Yuan, Beibei
Job satisfaction, burnout, and turnover intention among primary care providers in rural China: results from structural equation modeling
title Job satisfaction, burnout, and turnover intention among primary care providers in rural China: results from structural equation modeling
title_full Job satisfaction, burnout, and turnover intention among primary care providers in rural China: results from structural equation modeling
title_fullStr Job satisfaction, burnout, and turnover intention among primary care providers in rural China: results from structural equation modeling
title_full_unstemmed Job satisfaction, burnout, and turnover intention among primary care providers in rural China: results from structural equation modeling
title_short Job satisfaction, burnout, and turnover intention among primary care providers in rural China: results from structural equation modeling
title_sort job satisfaction, burnout, and turnover intention among primary care providers in rural china: results from structural equation modeling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961377/
https://www.ncbi.nlm.nih.gov/pubmed/31941455
http://dx.doi.org/10.1186/s12875-020-1083-8
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