The development of health indicators to measure healthy life expectancy (HLE) is an active field of research aimed at summarizing the health of a population. Although many health indicators have emerged in the literature as critical metrics in public health assessments, the methods and data to conduct this evaluation vary considerably in nature and quality. Traditionally, health data collection relies on population surveys. However, these studies, typically of limited size, encompass only a small yet representative segment of the population. This limitation can necessitate the separate estimation of incidence and mortality rates, significantly restricting the available analysis methods. In this article, we leverage an extract from the French National Hospital Discharge database to define health indicators. Our analysis focuses on the resulting Disease-Free Life Expectancy (Dis-FLE) indicator, which provides insights based on the hospital trajectory of each patient admitted to hospital in France during 2008-13. Through this research, we illustrate the advantages and disadvantages of employing large clinical datasets as the foundation for more robust health indicators. We shed light on the opportunities that such data offer for a more comprehensive understanding of the health status of a population. In particular, we estimate age-dependent hazard rates associated with sex, alcohol abuse, tobacco consumption, and obesity, as well as geographic location. Simultaneously, we delve into the challenges and limitations that arise when adopting such a data-driven approach.

翻译：健康预期寿命（HLE）的衡量指标开发是旨在总结人群健康状况的活跃研究领域。尽管文献中已有众多健康指标作为公共卫生评估的关键指标，但开展此类评估的方法与数据在性质和质量上存在显著差异。传统上，健康数据收集依赖人群调查。然而，这些研究通常规模有限，仅涵盖人群中的小部分代表性样本。这种局限性迫使研究人员需分别估算发病率和死亡率，从而显著限制了可用分析方法。本文利用法国国家医院出院数据库的提取数据来定义健康指标。我们的分析聚焦于由此产生的无病预期寿命（Dis-FLE）指标，该指标基于2008-13年间法国住院患者的医疗轨迹提供见解。通过本研究，我们阐明了使用大型临床数据集作为更稳健健康指标基础的优缺点，揭示了此类数据为更全面理解人群健康状况带来的机遇。具体而言，我们估算了与性别、酒精滥用、烟草消费、肥胖及地理位置相关的年龄依赖性风险率。同时，我们深入探讨了采用这种数据驱动方法时面临的挑战与局限性。