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

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...

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Bibliographic Details
Published in:PloS one 2020-10, Vol.15 (10), p.e0240302-e0240302
Main Authors: Yap, Chun Wei, Ge, Lixia, Ong, Reuben, Li, Ruijie, Heng, Bee Hoon
Format: Article
Language:English
Subjects:
Adult
Aged
Aged, 80 and over
Domains
Female
Funding
Health care
Health risks
Health screening
Health services
Health Status Indicators
Health Surveys
Humans
Life expectancy
Male
Management
Medicine and Health Sciences
Mental Health
Methods
Middle Aged
Models, Statistical
Mortality
Multidimensional methods
Occupational health
Patient Acceptance of Health Care - statistics & numerical data
People and Places
Personal health
Polls & surveys
Population
Public health
Quality of life
Questions
Regions
Risk Factors
Social Sciences
Trends
Utilization
Young Adult
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Summary: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. 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 from a longitudinal health survey on 1,942 participants. The health index was validated using age, frailty, post-survey one-year healthcare utilization and one-year mortality. The Spearman rho between the health index and age, frailty and post-survey one-year healthcare utilization were -0.571, -0.561 and -0.435, respectively, with all p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0240302