在中国,与初级保健提供者的工作满意度和组织承诺相关的因素:基于机器学习的随机森林分析
Quan Wang1,2, Siqi Liu3, Yaqun Fu1
1School of Public Health, Peking University, Beijing 100191, China.
Healthcare (Basel, Switzerland)
|May 27, 2023
概括
初级保健提供者初级保健提供者
科学领域:
- 卫生政策 卫生政策
- 职业健康 职业健康 职业健康
- 公共卫生 公共卫生
背景情况:
- 在COVID-19大流行期间,中国的初级保健提供者面临着独特的挑战.
- 了解影响他们工作满意度和组织承诺的因素对于医疗保健系统的稳定至关重要.
研究的目的:
- 调查中国初级保健提供者对工作满意度和组织承诺的关键驱动因素.
- 评估COVID-19大流行和政策变化对这些提供商的具体影响.
主要方法:
- 使用明尼苏达州满意度调查问卷 (MSQ) 和组织承诺调查.
- 收集了来自中国435家初级保健机构的数据.
- 采用机器学习 (随机森林模型) 来识别影响因素.
主要成果:
- 收入变化,工作年数,目前的研究所任期和年龄是最重要的因素.
- 专业领域的数量,性别,工作状态和保险类型显示出最小的关联.
- 在疫情期间,收入仍然是主要关注的问题,而就业保障的重要性却下降了.
结论:
- 经济激励和奖金可以有效地提高初级保健提供者的士气.
- 建议采用量身定制的激励策略,考虑到特定年龄的需求.
- 政策干预应解决与收入相关的问题,以提高工作满意度和承诺.
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