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Turnover intention among primary health workers in China: a systematic review and meta-analysis

OBJECTIVES: To analyse the prevalence and determinants of turnover intention (TI) among primary health workers (PHWs) in China to provide evidence for improving retention measures. DESIGN: Systemic review and meta-analysis. DATA SOURCES: Four English-language databases (PubMed, EMBASE, Cochrane Libr...

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Autores principales: He, Rongxin, Liu, Jinlin, Zhang, Wei-Hong, Zhu, Bin, Zhang, Ning, Mao, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569945/
https://www.ncbi.nlm.nih.gov/pubmed/33067275
http://dx.doi.org/10.1136/bmjopen-2020-037117
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author He, Rongxin
Liu, Jinlin
Zhang, Wei-Hong
Zhu, Bin
Zhang, Ning
Mao, Ying
author_facet He, Rongxin
Liu, Jinlin
Zhang, Wei-Hong
Zhu, Bin
Zhang, Ning
Mao, Ying
author_sort He, Rongxin
collection PubMed
description OBJECTIVES: To analyse the prevalence and determinants of turnover intention (TI) among primary health workers (PHWs) in China to provide evidence for improving retention measures. DESIGN: Systemic review and meta-analysis. DATA SOURCES: Four English-language databases (PubMed, EMBASE, Cochrane Library, PsycINFO) and three Chinese databases (CNKI, CSPD, CBM) were searched up to October 2019. ELIGIBILITY CRITERIA: Eligible studies were observational or descriptive studies conducted in mainland China. The prevalence of TI among health workers and related factors had to be explicitly reported in each included study. DATA EXTRACTION AND SYNTHESIS: Data were extracted by one author and reviewed independently by two other authors. For each factor analysed by a meta-analysis, the factor was required to be the same across different studies, and at least three studies had to include it. The quality of studies was assessed using the Newcastle–Ottawa Scale and heterogeneity was evaluated using the I(2) statistic. RESULTS: We identified 16 cross-sectional studies investigating a total of 37 672 PHWs. The prevalence of TI was 30.4%. Subgroup analysis revealed that the highest prevalence was observed in the community primary healthcare institutions and the eastern provinces of China. Meta-analyses indicated that 21 factors were significantly associated with TI, including demographic factors (gender, age, education, marital status), job characteristic factors (title, work seniority, remuneration, social status, organisational affiliation, work stress) and job satisfaction factors (learning and training opportunity, interpersonal relationship, work condition and environment, and so on). CONCLUSION: This study highlights the problem of TI among PHWs in China. Efforts should be made to improve conditions in both work-related areas and areas outside of work. Policymakers should continue to improve reward systems, the construction of infrastructure and promotion systems, and pay more attention to PHWs’ lives outside of work and meet their living needs.
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spelling pubmed-75699452020-10-21 Turnover intention among primary health workers in China: a systematic review and meta-analysis He, Rongxin Liu, Jinlin Zhang, Wei-Hong Zhu, Bin Zhang, Ning Mao, Ying BMJ Open Health Policy OBJECTIVES: To analyse the prevalence and determinants of turnover intention (TI) among primary health workers (PHWs) in China to provide evidence for improving retention measures. DESIGN: Systemic review and meta-analysis. DATA SOURCES: Four English-language databases (PubMed, EMBASE, Cochrane Library, PsycINFO) and three Chinese databases (CNKI, CSPD, CBM) were searched up to October 2019. ELIGIBILITY CRITERIA: Eligible studies were observational or descriptive studies conducted in mainland China. The prevalence of TI among health workers and related factors had to be explicitly reported in each included study. DATA EXTRACTION AND SYNTHESIS: Data were extracted by one author and reviewed independently by two other authors. For each factor analysed by a meta-analysis, the factor was required to be the same across different studies, and at least three studies had to include it. The quality of studies was assessed using the Newcastle–Ottawa Scale and heterogeneity was evaluated using the I(2) statistic. RESULTS: We identified 16 cross-sectional studies investigating a total of 37 672 PHWs. The prevalence of TI was 30.4%. Subgroup analysis revealed that the highest prevalence was observed in the community primary healthcare institutions and the eastern provinces of China. Meta-analyses indicated that 21 factors were significantly associated with TI, including demographic factors (gender, age, education, marital status), job characteristic factors (title, work seniority, remuneration, social status, organisational affiliation, work stress) and job satisfaction factors (learning and training opportunity, interpersonal relationship, work condition and environment, and so on). CONCLUSION: This study highlights the problem of TI among PHWs in China. Efforts should be made to improve conditions in both work-related areas and areas outside of work. Policymakers should continue to improve reward systems, the construction of infrastructure and promotion systems, and pay more attention to PHWs’ lives outside of work and meet their living needs. BMJ Publishing Group 2020-10-16 /pmc/articles/PMC7569945/ /pubmed/33067275 http://dx.doi.org/10.1136/bmjopen-2020-037117 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Health Policy
He, Rongxin
Liu, Jinlin
Zhang, Wei-Hong
Zhu, Bin
Zhang, Ning
Mao, Ying
Turnover intention among primary health workers in China: a systematic review and meta-analysis
title Turnover intention among primary health workers in China: a systematic review and meta-analysis
title_full Turnover intention among primary health workers in China: a systematic review and meta-analysis
title_fullStr Turnover intention among primary health workers in China: a systematic review and meta-analysis
title_full_unstemmed Turnover intention among primary health workers in China: a systematic review and meta-analysis
title_short Turnover intention among primary health workers in China: a systematic review and meta-analysis
title_sort turnover intention among primary health workers in china: a systematic review and meta-analysis
topic Health Policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569945/
https://www.ncbi.nlm.nih.gov/pubmed/33067275
http://dx.doi.org/10.1136/bmjopen-2020-037117
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