Study on the adoption intention of the cognitive impairment screening mini program based on TAM and TPB models

Area of Science:

• Digital Health
• Gerontology
• Behavioral Science

Background:

• Digital screening tools are increasingly vital for early cognitive impairment detection.
• User acceptance, especially among older adults, for these digital tools remains uncertain.
• Existing models like TAM and TPB provide a framework for understanding technology adoption.

Purpose of the Study:

• To investigate factors influencing the adoption intention of cognitive impairment screening mini programs.
• To extend the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB) for digital health tools.
• To identify key predictors of user acceptance for digital cognitive screening.

Main Methods:

• Developed an extended model integrating TAM and TPB constructs.
• Included perceived usefulness, ease of use, attitude, trust, subjective norm, perceived behavioral control, and perceived privacy risk.
• Empirically tested the model using structural equation modeling (SEM) with 610 valid questionnaires.

Main Results:

• Perceived usefulness positively predicted attitude; perceived ease of use positively predicted perceived usefulness.
• Trust and attitude significantly and positively predicted behavioral intention.
• Perceived privacy risk negatively impacted trust and attitude, indirectly affecting behavioral intention.

Conclusions:

• Perceived usefulness, ease of use, trust, and attitude are critical for adopting cognitive impairment screening mini programs.
• Addressing privacy concerns is crucial for enhancing user trust and acceptance.
• Findings provide actionable insights for designing and promoting digital health tools for cognitive health.