Fall risk perception toolkit based on "digital human" for community-dwelling older patients with stroke: development...

Area of Science:

• Gerontology
• Rehabilitation Medicine
• Digital Health

Background:

• Fall risk perception is crucial for community-dwelling older adults post-stroke.
• Existing health education methods may lack engagement for this demographic.
• A "digital human" approach offers a novel way to deliver fall prevention education.

Purpose of the Study:

• To develop and test the usability of a "digital human"-based fall risk perception toolkit (FRP-digital human).
• To verify the implementation effectiveness of the FRP-digital human toolkit in older stroke patients.
• To assess the impact on fall risk perception, adherence, and quality of life.

Main Methods:

• A three-phase study: development, usability testing (n=20), and a 12-week pilot study (n=80).
• Participants were randomized into intervention (FRP-digital human) and control (PDF text) groups.
• Usability was assessed via PSSUQ, CES, NPS, and interviews; outcomes included adherence, fall risk perception (FRPS), and quality of life (SV-SS-QoL).

Main Results:

• The FRP-digital human toolkit demonstrated good usability and user satisfaction.
• The intervention group showed significantly higher adherence (RA) compared to the control group (P<0.05).
• Statistically significant improvements were observed in fall risk perception (FRPS) and quality of life (SV-SS-QoL) in the intervention group (P<0.001).

Conclusions:

• The FRP-digital human toolkit is well-accepted by older stroke patients.
• It effectively improves fall risk perception and quality of life.
• The WeChat mini program design enhances generalizability and promotes effective healthcare delivery.