Utilizing the International Classification of Functioning, Disability and Health (ICF) in forming a personal health index

TL;DR

This paper introduces a new health monitoring model using the WHO's ICF framework to create a personal health index, capable of integrating diverse data sources and validated against self-assessed health measures.

Contribution

The paper presents a novel model that leverages ICF for comprehensive health status monitoring, handling incomplete and heterogeneous data effectively.

Findings

The health index correlates well with self-assessed health measures.

The model is validated as practical and applicable.

It effectively manages diverse health data sources.

Abstract

We propose a new model for comprehensively monitoring the health status of individuals by calculating a personal health index. The central framework of the model is the International Classification of Functioning, Disability and Health (ICF) developed by the World Health Organization. The model is capable of handling incomplete and heterogeneous data sets collected using different techniques. The health index was validated by comparing it to two self-assessed health measures provided by individuals undergoing rehabilitation. Results indicate that the model yields valid health index outcomes, suggesting that the proposed model is applicable in practice.