Digital system to detect and prevent disability risk in older adults

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

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.

Why it matters

Who can join: the full rules

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 it's running

• The Second Affiliated Hospital of Medical College of Zhejiang University
  Hangzhou, Zhejiang, China Recruiting

Study contacts

• Principal investigator: Jingfen Jin, Master — Second Affiliated Hospital, Zhejiang University, School of Medicine
• Study coordinator: Jingfen Jin, Master
• Email: zrjzkhl@zju.edu.cn
• Phone: +86 15888841161

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.