1. Identify the primary risk factors for disability in older adults through multi-dimensional risk factor screening. 2. Develop a risk stratification model for disability in older adults by integrating outcome indicators and temporal characteristics, and construct an intelligent early warning model to enable automated assessment and monitoring of disability risk. 3. Establish key digital technologies for early warning and prevention of disability risk in older adults, and develop a whole-process digital intervention platform incorporating a decision support system for disability prevention management. 4. Create a digitally empowered hospital-community-household collaborative system for precise assessment and intervention of disability risk in older adults, achieving data-driven whole-process active disability management. The system will be demonstrated and evaluated in communities with diverse characteristics across urban, county, and rural settings.
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.
Those who are unable to perform basic activities of daily living independently, or who have significant cognitive or communication impairments.
Parallel
Risk Assessment of Disability and Precision Intervention
Other interventionImplement a digital platform for elderly disability risk intervention to conduct comprehensive, multi-scenario intelligent assessments, dynamic monitoring, and targeted interventions for disability risks.
SPPB(SHORT PHYSICAL PERFORMANCE BATTERY PROTOCOL)
the range of score is 0-12, and the higher scores mean a better outcome.
Incidence of disability
The incidence of disability will be assessed using validated scales for Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL). Disability is defined as a new-onset, significant limitation in performing basic or complex everyday activities. The occurrence (i.e., the number of new cases) of disability will be determined at predefined study timepoints. The final outcome will be calculated as the proportion or rate of participants who develop disability during the study period, relative to the total number of participants.
Disability Risk Score
The Disability Risk Score is a continuous variable ranging from 0 to 1, calculated using a pre-validated prediction model. A higher score indicates a greater predicted risk of developing disability.
Intervention adherence
Adherence to the intervention protocol (e.g., exercise, dietary tasks) will be objectively monitored and recorded via a dedicated smartphone application. Participants are required to log or "check-in" within the app upon completion of each prescribed task. Adherence rates will be calculated as the percentage of completed tasks logged, relative to the total number of tasks assigned during the study period.
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