A data-driven multicriteria decision model for healthcare workforce retention strategies

Debora Di Caprio , Sofia Sironi , Fan-Yun Lan , Ramin Rostamkhani
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Abstract

The retention of nurses and physicians in Hospitals is a global problem affecting the healthcare system worldwide. This study focuses on the healthcare workforce retention problem considering the current situation in Taiwan. Healthcare staff in Taiwan are undergoing a critical phase, with an increasing number of experienced workers leaving their job to go to work for private organizations or as freelancers. We develop a data-driven four-phase methodology based on the design of a satisfaction index that allows to rank different groups of employees against a given set of criteria. First, criteria are identified and clustered to describe different job dimensions (phase 1). Hence, subjective evaluations of the criteria are collected from healthcare workers while experts provide pairwise comparisons among them (phase 2). An adjusted analytic hierarchy process (AHP) is used to weight the job dimensions and the criteria within each job dimension (phase 3). Finally, the satisfaction index is formalized and computed for different groups of employees (phase 4). The methodology has been implemented with data collected from healthcare workers employed in three healthcare institutions in Northern Taiwan. The proposed index represents a novel decision support tool for managers and policy makers in designing intervention strategies able to address different needs of different groups of employees. Besides, it allows for innovative applications to quality management (QM) by extending the standard QM approach to hospitals and healthcare centers far beyond the common focus on patients' satisfaction. Finally, the mathematical formulation of the index is very flexible and allows for applications to any employment sector through a variety of analyses based on different categorizations of the workers.
医疗保健人力保留策略的数据驱动多标准决策模型
护士和医生在医院的保留是一个全球性的问题,影响全球医疗保健系统。本研究针对目前台湾医疗保健人力保留问题进行研究。台湾的医护人员正处于一个关键阶段,越来越多有经验的医护人员离开工作岗位,去私人机构工作或成为自由职业者。我们开发了一种基于满意度指数设计的数据驱动的四阶段方法,该指数允许根据给定的一组标准对不同组的员工进行排名。首先,确定标准并将其聚类以描述不同的工作维度(阶段1)。因此,从卫生保健工作者那里收集对标准的主观评价,而专家在他们之间进行两两比较(阶段2)。采用调整后的层次分析法(AHP)对工作维度和每个工作维度内的标准进行加权(阶段3)。最后,对不同员工群体的满意度指数进行形式化和计算(阶段4)。本研究以台湾北部三所医疗机构的医护人员为研究对象。该指标为管理者和政策制定者设计干预策略提供了一种新的决策支持工具,能够满足不同员工群体的不同需求。此外,通过将标准质量管理方法扩展到医院和医疗保健中心,它允许质量管理(QM)的创新应用程序,远远超出了对患者满意度的通常关注。最后,该指数的数学公式非常灵活,并允许通过基于不同类别的工人的各种分析应用于任何就业部门。
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来源期刊
Healthcare analytics (New York, N.Y.)
Healthcare analytics (New York, N.Y.) Applied Mathematics, Modelling and Simulation, Nursing and Health Professions (General)
CiteScore
4.40
自引率
0.00%
发文量
0
审稿时长
79 days
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