Mapping of Health System Performance Indicators to the WHO HSPA Framework.

Lucien Adam, Anthéa Helene Leung, Murat Sariyar
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Abstract

Healthcare systems worldwide face escalating costs and demographic changes, necessitating effective evaluation tools to understand their underlying challenges. Switzerland's high-quality yet costly healthcare system underscores the need for robust assessment methods. Existing international rankings often lack transparency and comparability, highlighting the value of structured frameworks like the Health System Performance Assessment (HSPA) by the World Health Organization (WHO). This framework evaluates healthcare systems across multiple dimensions including governance, resource generation, financing, and service delivery. This paper aims to integrate Swiss healthcare indicators from the Swiss Health Observatory (Obsan) into the HSPA framework, addressing the central research question: How can these indicators be mapped to the HSPA framework, and what insights does this integration provide? Our methodology includes selecting and categorizing Obsan indicators, manually mapping them to HSPA sub-functions, and validating these mappings using word embeddings and cosine similarity. An R Shiny application was developed for interactive visualization. Results demonstrate accurate indicator assignment, enabling intuitive visualization and enhancing data structuring.

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卫生系统绩效指标与世界卫生组织 HSPA 框架的映射。
全世界的医疗保健系统都面临着成本上升和人口结构变化的问题,因此需要有效的评估工具来了解其背后的挑战。瑞士的医疗保健系统质量高但成本高,这凸显了对稳健评估方法的需求。现有的国际排名往往缺乏透明度和可比性,这凸显了世界卫生组织(WHO)卫生系统绩效评估(HSPA)等结构化框架的价值。该框架从治理、资源生成、融资和服务提供等多个维度对医疗保健系统进行评估。本文旨在将瑞士卫生观察站(Obsan)的瑞士医疗指标纳入 HSPA 框架,从而解决核心研究问题:如何将这些指标映射到 HSPA 框架中?我们的方法包括选择和分类 Obsan 指标,手动将其映射到 HSPA 子功能,并使用词嵌入和余弦相似性验证这些映射。我们还开发了一个 R Shiny 应用程序,用于交互式可视化。结果表明,指标分配准确,实现了直观的可视化并增强了数据结构。
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