设计多标准决策框架,为长期护理服务质量评估建立价值排序系统

Lun-Ping Hung Lun-Ping Hung, Weidong Huang Lun-Ping Hung, Sheng-Tzong Cheng Weidong Huang, Zong-Jie Wu Sheng-Tzong Cheng, Syuan Ou Yang Zong-Jie Wu
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引用次数: 0

摘要

台湾各级政府迫切希望推动建立长期护理住宅设施,以满足人口老龄化浪潮带来的巨大护理需求。然而,有效机制的成功建立有赖于正确的监督与引导。因此,实施长期护理服务质量管理的价值评估体系至关重要。多标准决策(MCDM)方法可以为这一体系的建立提供有效的条件,使长期护理服务质量的评价更加全面客观。利用这一系统,决策者可以根据不同的需求和权重纳入不同的指标,对长期护理服务的质量和绩效进行评估。这有助于确定工作重点和制定改进策略,从而提高长期护理服务的质量。本研究为机构和个人双赢的平台开发了一个基于信息的评估模型。除运营管理效率、专业护理质量、安全环保设施、个人权益保护等指标外,该模型还纳入了消费者口碑和环境社会治理(ESG)维度。此外,它还整合了多个指标项目,并采用层次分析法(AHP)对复杂的多维度问题进行分解和结构化,从而与当前的企业评估保持一致。其目的是帮助护理服务机构在不同维度上做出关键的服务质量决策,提升机构的整体质量和竞争力,同时提高公众对护理服务质量评价的信任度和认可度。
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Designing a Multi-Criteria Decision-Making Framework to Establish a Value Ranking System for the Quality Evaluation of Long-Term Care Services
Various levels of government across Taiwan are eager to promote the establishment of long-term care residential facilities to meet the significant caregiving needs arising from the wave of population aging. However, the successful establishment of an effective mechanism relies on proper supervision and guidance. Therefore, implementing a value assessment system for long-term care service quality management is of paramount importance. Using multi-criteria decision-making (MCDM) approach can provide effective conditions for the establishment of such system and enable a more comprehensive and objective evaluation of long-term care service quality. Using this system, decision-makers can incorporate different indicators based on various needs and weights to evaluate the quality and performance of long-term care services. This facilitates the determination of priorities and the formulation of improvement strategies, thereby enhancing the quality of long-term care services. This study develops an information-based assessment model for a platform that is win-win for both institutions and individuals. The model incorporates consumer reputation and environmental social governance (ESG) dimensions, in addition to indicators such as operational and management efficiency, professional care quality, safety and environmental facilities, and protection of individual rights and interests. Further, it integrates multiple indicator items and employs the analytic hierarchy process (AHP) to decompose and structure complex multi-dimensional issues, thereby aligning itself with current corporate evaluations. It aims to assist care service agencies in making key service quality decisions across different dimensions, and enhance the overall quality and competitiveness of those agencies, while increasing public trust and recognition in the evaluation of care service quality.  
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