POPULATION HEALTH SUMMARY MEASURES SPECIAL INTEREST GROUP
Health Status Survey Working Group

Goal:
To establish empirical links between data reporting on health status observed in clinical studies and corresponding data in population health surveys.

Background:
Health status measurement systems provide the fundamental data on outcomes that are critical to the clinical and economic evaluation of innovative health care interventions. Generic measures of health-related quality of life such as HUI, SF-36 and EQ-5D have been widely used as outcome indicators in clinical trials, but their use is not confined to such applications alone.

They can also be found in population health surveys that capture a wide variety of other contextual data, for example bearing on health in general and lifestyle. Health surveys that capture a wide variety of other contextual data, for example bearing on health in general and lifestyle. In addition, such surveys sometime incorporate physiological measurements, diagnostic or treatment items that have considerable potential value – in calibrating the performance of health status measurement technologies and in describing population subgroups of relevance to those concerned with establishing the benefits of treatment in real-world settings.

Generic and targeted health status measurement systems used in population health surveys may also be used in routine operational settings where they are used to sequentially monitor health status in patients over time. Such data are of particular importance to decision-makers within healthcare provider units since they can be used as a quality assurance index and to monitor performance.  Background continued…

Work Products: 
1. Annotated catalogue of population health survey source data
2. Manuscript documenting and reporting on health status measurement data, including national normative reference values   

Tasks: Design a reporting template which will establish the “core” elements needed.

This SIG is currently inactive.  If you are interested in this project or developing another ISPOR Population Health SIG project, tool or manuscript, please email sigs@ispor.org.

 

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