Innovative adoption model for digital health technologies among elderly with chronic diseases: integrating Unified Theory of Acceptance and Use of Technology and Knowledge-Attitude-Practice model in a survey of 1222 patients in Shanghai.

← Back to all research

A large survey study of 1,222 elderly patients in Shanghai reveals key factors influencing adoption of digital health technologies. The research combines two theoretical frameworks to better understand how knowledge, attitudes, and technology acceptance impact digital health usage among older adults with chronic conditions.

Evidence Assessment

Evidence Strength

Moderate

Study Type Cross-sectional survey study

Confidence Medium

This analysis is based on peer-reviewed research.

View Original Study →

Key Findings

Integration of UTAUT and KAP models better explains digital health adoption
Knowledge levels significantly impact technology acceptance
Social influence and facilitating conditions are key adoption factors

Practical Takeaways

Focus on education and knowledge-building when introducing digital health tools to elderly
Ensure strong support systems and easy access to technical assistance

Limitations & Caveats

Single-city study may not generalize globally
Cross-sectional design cannot establish causation
Self-reported data may have recall bias