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基于系统评价和Meta分析的乡村医生工作满意度研究:亟待解决的问题

Systematic and meta-based evaluation on job satisfaction of village doctors: An urgent need for solution issue.

作者信息

Chen Yuquan, You Yanwei, Wang Yue, Wang Yudong, Dai Tao

机构信息

Institute of Medical Information and Medical Library, Chinese Academy of Medical Sciences, Beijing, China.

Peking Union Medical College, Beijing, China.

出版信息

Front Med (Lausanne). 2022 Aug 18;9:856379. doi: 10.3389/fmed.2022.856379. eCollection 2022.

Abstract

BACKGROUND

Village doctors are the health "gatekeepers" of rural residents in most developing countries. They undertake a series of strenuous but pivotal missions, including prevention, diagnosis, and treatment of complicated diseases, sanitation services and management, and preventive healthcare and education tasks. Hence, it is of great importance to evaluate the village doctors' job satisfaction status, which is one of the most important indicators that can reflect the current working state, to provide guidelines for the healthcare policies.

METHODS

Literature search was conducted in 7 authoritative databases, including PubMed, EMBASE, Web of Science, and China National Knowledge Infrastructure (CNKI). Experts in the field of social medicine were consulted to achieve supplement and obtain relevant literature. China was selected as a representative of the village doctor system for the in-depth analysis. Building on the previous literature, we modified and proposed a novel strategy that can transform and integrate the outcome indicators to conduct a meta-based and quantitative assessment on job satisfaction.

RESULTS

A total of 37 publications and 23,595 village doctors were included in this research. The meta-analysis showed that the overall job satisfaction score of village doctors was 3.1858 (total score: 5.00), 95% : 2.9675-3.404, which represented the level of "neither satisfied nor dissatisfied." However, in the subsequent adjustment of publication bias, this score reduced to 2.7579, 95% : 2.5254-2.9904, which indicated a direct "dissatisfied" level. To discover the underlying causes, a holistic analysis of each dimension and influencing factors of job satisfaction was conducted, and the results demonstrated that "Financial Rewards" (2.49) was the most important factor causing dissatisfaction among village doctors, followed by "Job Security (2.52)" and "Work Stress (3.05)." Several important themes were also identified and assessed to explore the factors related to this topic.

CONCLUSION

This study indicated that there is an urgent need to improve the working status of health workers in rural and remote areas, especially in the middle- and low-income countries. Health policy makers should not only improve the current remuneration and subsidies of village doctors but also guide the professional development and give them more job security to enhance the work stability of this group. More specifically, in the context of the COVID-19 pandemic, further surveys on job satisfaction of village doctors should be carried out to take targeted measures.

SYSTEMATIC REVIEW REGISTRATION

[https://www.crd.york.ac.uk/PROSPERO/], identifier [CRD42021289139].

摘要

背景

在大多数发展中国家,乡村医生是农村居民的健康“守门人”。他们承担着一系列艰巨但关键的任务,包括复杂疾病的预防、诊断和治疗、卫生服务与管理以及预防性医疗保健和教育工作。因此,评估乡村医生的工作满意度状况非常重要,这是反映当前工作状态的最重要指标之一,可为医疗政策提供指导。

方法

在7个权威数据库中进行文献检索,包括PubMed、EMBASE、科学引文索引(Web of Science)和中国知网(CNKI)。咨询社会医学领域的专家以进行补充并获取相关文献。选择中国作为乡村医生体系的代表进行深入分析。基于先前的文献,我们修改并提出了一种新颖的策略,该策略可以转换和整合结果指标,以对工作满意度进行基于元分析的定量评估。

结果

本研究共纳入37篇出版物和23595名乡村医生。荟萃分析表明,乡村医生的总体工作满意度得分为3.1858(总分:5.00),95%置信区间:2.9675 - 3.404,这代表“既不满意也不不满意”的水平。然而,在随后对发表偏倚的调整中,该得分降至2.7579,95%置信区间:2.5254 - 2.9904,这表明处于直接“不满意”水平。为了找出潜在原因,对工作满意度的各个维度和影响因素进行了全面分析,结果表明“经济回报”(2.49)是导致乡村医生不满的最重要因素,其次是“工作保障”(2.52)和“工作压力”(3.05)。还确定并评估了几个重要主题,以探索与该主题相关的因素。

结论

本研究表明,迫切需要改善农村和偏远地区卫生工作者的工作状况,特别是在中低收入国家。卫生政策制定者不仅应提高乡村医生目前的薪酬和补贴,还应指导其职业发展并给予他们更多工作保障,以增强这一群体的工作稳定性。更具体地说,在2019冠状病毒病(COVID - 19)大流行的背景下,应进一步开展乡村医生工作满意度调查,以采取针对性措施。

系统评价注册

[https://www.crd.york.ac.uk/PROSPERO/],标识符[CRD42021289139]

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c38/9433829/4bd7f4f8385b/fmed-09-856379-g001.jpg

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