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Health expectancy: an indicator for change? Technology Assessment Methods Project Team.

机译:预期健康:变化的指标?技术评估方法项目团队。

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摘要

STUDY OBJECTIVE--Health expectancy is an increasingly used indicator of population health status. It collapses both mortality and morbidity into a single indicator, and is therefore preferred to the total life expectancy index for populations with low mortality but high morbidity rates. Three methods of calculation exist: the Sullivan, double decrement, and multi-state methods. This report aims to describe their relative advantages and limitations when used to monitor changes in population health status over time. DESIGN--The differences between the three methods are explained. Using a dynamic model of heart disease, the effect of the introduction of thrombolytic treatment on the survival of patients with acute myocardial infarction is calculated. The resulting changes in health expectancy are calculated according to the Sullivan and multi-state methods. MAIN RESULTS--As opposed to the double decrement and the multi-state methods, the Sullivan method produces spurious trends in health expectancy in response to the change in survival. CONCLUSIONS--Estimates of health expectancy in a dynamic situation can be very misleading when based on the Sullivan method, with its attractively moderate data requirements. The multi-state method, which requires longitudinal studies of population health status, is often indispensable.
机译:研究目标-健康期望值是人口健康状况的越来越多的指标。它把死亡率和发病率都归纳为一个指标,因此对于低死亡率但高发病率的人群而言,它比总预期寿命指数更好。存在三种计算方法:Sullivan,双减法和多状态方法。本报告旨在描述其在监测人口健康状况随时间变化时的相对优势和局限性。设计-说明了三种方法之间的差异。使用心脏病的动态模型,计算了溶栓治疗对急性心肌梗死患者生存的影响。根据Sullivan和多状态方法计算得出的预期健康变化。主要结果-与双重减量和多状态方法相反,沙利文方法根据生存率的变化在健康期望值方面产生虚假趋势。结论-基于Sullivan方法及其诱人的适度数据要求,在动态情况下对健康预期的估计可能会产生误导。需要对人口健康状况进行纵向研究的多状态方法通常是必不可少的。

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