Development of a scalable and extendable multi-dimensional health index to measure the health of individuals.

ABSTRACT:

Background

For population health management, it is important to have health indices that can monitor prevailing health trends in the population. Traditional health indices are generally measurable at different geographical levels with varied number of health dimensions. The aim of this work was to develop and validate a scalable and extendable multi-dimensional health index based on individual data.

Methods

We defined health to be made up of five different domains: Physical, Mental, Social, Risk, and Healthcare utilization. Item response theory was used to develop models to compute domain scores and a health index. These were normalized to represent an individual's health percentile relative to the population (0 = worst health, 100 = best health). Data for the models came fr

SUBMITTER: Yap CW 

PROVIDER: S-EPMC7540893 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature