On the classification of population health measurements.

Abstract

Summary measures of population health, such as health-adjusted life expectancy, are increasingly being used to monitor the health status of regions and to evaluate public health interventions. Such measures are based on aggregated indicators of individual health and summarize health in a population. They describe population health status but have limitations in analytic studies of population health. We propose a broader framework for population health measurement. This classifies indicators according to their application (descriptive, prognostic, or explanatory), according to the conception of population (as an aggregate or a dynamic entity), and according to the underlying model of health. This approach extends the measurement repertoire to include indicators of the health of a population.