The Construction of a Digitally-Enabled Precision Assessment and Intervention System for Disability Risk in Older Adults and a Full-Cycle, Multi-Scenario Demonstration Study

What this Trial Is About

Researchers are studying disability risk in older adults to identify key factors that lead to disability and to develop a precise, digital system for early warning and prevention. This study integrates multiple data sources, including health records and cognitive assessments, to build a risk stratification model and an intelligent early warning system. The goal is to create a collaborative hospital-community-household system that actively manages disability risk in diverse urban and rural settings. The study involves implementing a digital platform that provides comprehensive assessments, dynamic monitoring, and targeted interventions for disability risk in older adults. Participants are randomly assigned to either an experimental group receiving these digital interventions or a control group receiving routine community-based health management like health education, exercise guidance, and dietary counseling. Participants will be involved for at least six months, with assessments at the start, three months, and six months after intervention. These include physical performance tests, disability risk scoring, and monitoring of intervention adherence. The study measures outcomes such as physical function, incidence of disability, and compliance with interventions to evaluate the effectiveness of the digital system in managing disability risk.

A Digitally-Enabled System for Precision Assessment and Intervention of Disability Risk in Older Adults