Evidence map›Paper›PMID 28420396›Full record

ArticleInternational journal for equity in health2017

Determinants of village doctors' job satisfaction under China's health sector reform: a cross-sectional mixed methods study.

Tongtong Li, Trudy Lei, Fiona Sun, Zheng Xie

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Article in International journal for equity in health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 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

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3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  17. Influential Factors of Burnout among Village Doctors in China: A Cross-Sectional Study.International journal of environmental research and public health · 2021
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Tongtong LiSchool of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, 10091, People's Republic of China.
Trudy LeiSchool of Public Health of Columbia University, New York, USA.
Fiona SunLondon School of Hygiene and Tropical Medicine, London, UK.
Zheng XieSchool of Public Health, Peking University, 38 Xueyuan Road, Haidian District, Beijing, 10091, People's Republic of China. xiezheng@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo strengthen rural health workforce, the Chinese government has launched a series of policies to promote the job satisfaction of village doctors since the health sector reform. The purpose of this mixed-method study is to describe village doctors' job satisfaction under the context of health sector reform and investigate the associated factors.

methodsData was obtained from a survey of village doctors across three Chinese provinces in 2014. Using a multistage sampling process, quantitative data was collected from village doctors through the self-administered questionnaire and analyzed by multilevel logistic regression models. Qualitative data was collected through face-to-face semi-structured interviews on both village doctors and health managers. Theoretical coding was then conducted to analyze qualitative data.

resultsAmong the 1221 respondents, 48.6% felt satisfied with their job. Older village doctors with less of a workload and under high-level integrated management were more likely to feel satisfied with their job. Village doctors who earned the top level of monthly income felt more satisfied, while on the county level, those who lived in counties with the highest GDP felt less satisfied. However, enrollment in a pension plan showed no significant difference in regards to village doctors' job satisfaction. Among 34 participants of qualitative interviews, most believed that age, income, and integrated management had a positive influence on the job satisfaction, while pension plan and basic public health care policies exhibited negative effects. Also, the increasing in availability of healthcare and health resources along with local economic development had negative effects on village doctors' job satisfaction.

conclusionVillage doctors' job satisfaction was quite low in regards to several determinants including age, income, workload, enrollment in a pension plan, integrated management, and county economic and medical availability development.

Indexed as

Attitude of Health PersonnelHealth Care ReformJob SatisfactionPhysiciansRural Health ServicesRural PopulationAdultChinaCross-Sectional StudiesEconomic DevelopmentFemaleHealth ResourcesHealth Services AccessibilityHumansIncomeMaleJob satisfactionRural health workforceVillage doctors

Identifiers

PMID28420396
PMCPMC5395962

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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.