Evidence map›Paper›PMID 33067275›Full record

SynthesisBMJ open2020

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

Rongxin He, Jinlin Liu, Wei-Hong Zhang, Bin Zhu, Ning Zhang, Ying Mao

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rongxin HeDepartment of Social Security, School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0000-0002-9036-3416
Jinlin LiuDepartment of Social Security, School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0000-0002-7655-8532
Wei-Hong ZhangInternational Centre for Reproductive Health, Department of Public Health and Primary Care, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
Bin ZhuDepartment of Social Security, School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Ning ZhangDepartment of Social Security, School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Ying MaoDepartment of Social Security, School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, China mao_ying@mail.xjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyse the prevalence and determinants of turnover intention (TI) among primary health workers (PHWs) in China to provide evidence for improving retention measures.

designSystemic 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

resultsWe 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).

conclusionThis 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.

Indexed as

IntentionPersonnel TurnoverChinaCross-Sectional StudiesHumansJob Satisfactionhealth policyhealth services administration & managementhuman resource managementprimary care

Identifiers

PMID33067275
PMCPMC7569945

What OpenQuestion holds

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Registered trials

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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.