Digital system to detect and prevent disability risk in older adults
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
This project will test a smartphone-enabled system that looks for early signs of disability and offers tailored prevention and management for people aged 65 and older.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 238 (estimated) |
| Ages | 65 Years and up |
| Sex | All |
| Sponsor | Second Affiliated Hospital, School of Medicine, Zhejiang University Academic / other |
| Locations | 1 site (Hangzhou, Zhejiang) |
| Trial ID | NCT07508813 on ClinicalTrials.gov |
What this trial studies
Researchers built a multidimensional risk indicator set from health records of 100,000 urban and rural older adults in Zhejiang Province (2018–2022) and used principal component analysis and Elastic Net to identify key predictors of later disability. They plan to integrate full-cycle disability characteristics and time-series features into a Long Short-Term Memory (LSTM) early-warning model to stratify individuals by risk level. A digital platform with decision support will be developed to deliver precision interventions and to link hospital, community, and household care. The system will be piloted across urban, county, and rural communities to demonstrate automated monitoring and whole-process disability management.
Who should consider this trial
Good fit: Community-dwelling adults aged 65 or older who can use a smartphone (alone or with caregiver help), are conscious with basic communication abilities, and consent to participate are ideal candidates.
Not a fit: People who already cannot perform basic activities of daily living or who have major cognitive or communication impairments are excluded and unlikely to benefit from this program.
Why it matters
Potential benefit: If successful, the system could identify people at rising risk of disability earlier and guide targeted interventions to delay or prevent loss of function.
How similar studies have performed: Similar digital screening and risk‑stratification approaches for frailty and disability have shown promising but not definitive results in prior studies, so this builds on emerging evidence.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Community-dwelling permanent residents aged ≥65 years; * Able to operate a smartphone independently or with assistance from a primary caregiver; * Clear consciousness with basic comprehension and communication abilities; * Voluntarily agree to participate in the study and provide informed consent. Exclusion Criteria: * Those who are unable to perform basic activities of daily living independently, or who have significant cognitive or communication impairments.
Where this trial is running
Hangzhou, Zhejiang
- The Second Affiliated Hospital of Medical College of Zhejiang University — Hangzhou, Zhejiang, China (Recruiting)
Study contacts
- Principal investigator: Jingfen Jin, Master — The Second Affiliated Hospital of Medical College of Zhejiang University
- Study coordinator: Jingfen Jin, Master
- Email: zrjzkhl@zju.edu.cn
- Phone: +86 15888841161
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.