Job satisfaction, burnout, and turnover intention among primary care providers in rural China: results from structural equation modeling
Abstract 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 exami...
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doaj-05fb9cd8b0b84f289e4f309fc2e4d61c2021-01-17T12:24:31ZengBMCBMC Family Practice1471-22962020-01-0121111010.1186/s12875-020-1083-8Job satisfaction, burnout, and turnover intention among primary care providers in rural China: results from structural equation modelingHaipeng Wang0Yinzi Jin1Dan Wang2Shichao Zhao3Xingang Sang4Beibei Yuan5School of Health Care Management, Shandong UniversityDepartment of Global Health, School of Public Health, Peking UniversityChina Center for Health Development Studies, Peking UniversitySchool of Public Administration, Shandong Normal UniversityHealth Commission of WeifangChina Center for Health Development Studies, Peking UniversityAbstract 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.https://doi.org/10.1186/s12875-020-1083-8Job satisfactionBurnoutTurnover intentionPrimary care providersStructural equation modeling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Haipeng Wang Yinzi Jin Dan Wang Shichao Zhao Xingang Sang Beibei Yuan |
spellingShingle |
Haipeng Wang Yinzi Jin Dan Wang Shichao Zhao Xingang Sang Beibei Yuan Job satisfaction, burnout, and turnover intention among primary care providers in rural China: results from structural equation modeling BMC Family Practice Job satisfaction Burnout Turnover intention Primary care providers Structural equation modeling |
author_facet |
Haipeng Wang Yinzi Jin Dan Wang Shichao Zhao Xingang Sang Beibei Yuan |
author_sort |
Haipeng Wang |
title |
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_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_sort |
job satisfaction, burnout, and turnover intention among primary care providers in rural china: results from structural equation modeling |
publisher |
BMC |
series |
BMC Family Practice |
issn |
1471-2296 |
publishDate |
2020-01-01 |
description |
Abstract 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. |
topic |
Job satisfaction Burnout Turnover intention Primary care providers Structural equation modeling |
url |
https://doi.org/10.1186/s12875-020-1083-8 |
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