在COVID-19大流行之后,医院供应链的脆弱性和中断越来越多,威胁医疗服务和患者安全。医院供应链的弹性已成为医疗保健系统中最重要的问题。然而,缺乏系统的研究来开发一种适合医疗保健行业的仪器,该仪器既有效又可靠地衡量医院供应链的弹性。因此,本研究旨在构建和验证评估医院供应链弹性的综合量表,基于动态能力理论。
■这项研究遵循严格的规模开发步骤,从文献综述和15次半结构化访谈开始,生成初始项目。然后通过专家小组反馈和三轮Delphi研究来完善这些项目。使用来自S省387家医院的数据,中国大陆,使用结构方程模型对量表进行了严格的测试和验证。为了确保最有效的模型,研究了五种替代模型,以确定最合适的简约模型。
■该研究产生了一个26个项目的量表,该量表根据动态能力理论捕获了韧性的五个维度:预期,适应,回应,recovery,和学习,都表现出令人满意的一致性,信度和效度。
■多维尺度为医院管理者提供了一个有价值的工具来识别需要注意和改进的领域,相对于同行的基准弹性,并最终加强他们的供应链,抵御意外风险。
UNASSIGNED: The hospital supply chain has revealed increasing vulnerabilities and disruptions in the wake of the COVID-19 pandemic, threatening the healthcare services and patient safety. The resilience of hospital supply chains has emerged as a paramount concern within the healthcare system. However, there is a lack of systematic research to develop an instrument tailored to the healthcare industry that is both valid and reliable for measuring hospital supply chain resilience. Therefore, this study aims to construct and validate a comprehensive scale for assessing hospital supply chain resilience, based on dynamic capability theory.
UNASSIGNED: This study followed rigorous scale development steps, starting with a literature review and 15 semi-structured interviews to generate initial items. These items were then refined through expert panel feedback and three rounds of Delphi studies. Using data from 387 hospitals in Province S, mainland China, the scale underwent rigorous testing and validation using structural equation modeling. To ensure the most effective model, five alternative models were examined to determine the most suitable parsimonious model.
UNASSIGNED: The study produced a 26-item scale that captures five dimensions of resilience in line with dynamic capability theory: anticipation, adaptation, response, recovery, and learning, all showing satisfactory consistency, reliability and validity.
UNASSIGNED: The multi-dimensional scale offers hospital managers a valuable tool to identify areas needing attention and improvement, benchmark resilience against their counterparts, and ultimately strengthen their supply chains against unexpected risks.