Adoption Predictors
Cross-source consensus on Adoption Predictors from 1 sources and 5 claims.
1 sources · 5 claims
How it works
Benefits
Risks & contraindications
Evidence quality
Highlighted claims
- Technology anxiety was negatively associated with intention to use digital health technologies. — 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
- The integrated model explained most of the variance in behavioural intention and actual use behaviour. — 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
- Effort expectancy was the strongest reported direct predictor of behavioural intention. — 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
- Performance expectancy increased behavioural intention when older patients believed digital tools offered health-management or practical benefits. — 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
- Behavioural intention was positively associated with actual use behaviour. — 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