Acceptance of Wearable Cardiac Monitoring Devices Among Adults With Hypertension

Abstract

Aim: To examine the level of acceptance of wearable cardiac monitoring devices among adults with hypertension and to identify the key determinants influencing their behavioral intention to use these technologies .

Background: Hypertension remains a leading risk factor for cardiovascular morbidity and mortality worldwide .  Wearable cardiac monitoring devices offer opportunities for continuous physiological monitoring and enhanced self-management .  However, successful implementation depends largely on patient acceptance and readiness to adopt such technologies .

Design: A descriptive cross-sectional study was conducted .

Methods: The study was carried out among 280 adults diagnosed with hypertension attending King Faisal University Polyclinics, Saudi Arabia .  Data were collected using a structured questionnaire comprising sociodemographic and clinical variables, the Technology Acceptance Model (TAM) scale, and the eHealth Literacy Scale (eHEALS) .  Descriptive statistics, correlation analysis, and multiple linear regression were performed to identify predictors of behavioral intention to use wearable cardiac monitoring devices .

Results: Participants demonstrated moderate to high levels of acceptance .  Perceived usefulness (β = 0 . 41, p < 0 . 001) and attitude toward use (β = 0 . 36, p < 0 . 001) were the strongest predictors of behavioral intention, followed by perceived ease of use (β = 0 . 18, p = 0 . 004) and eHealth literacy (β = 0 . 17, p = 0 . 003) .  Age was not a significant independent predictor .  The regression model explained 48 . 3% of the variance in intention scores .

Conclusions: Acceptance of wearable cardiac monitoring devices among adults with hypertension is primarily driven by perceived clinical value, positive attitudes, usability perceptions, and digital health literacy rather than demographic characteristics .  Targeted educational and implementation strategies may enhance adoption and optimize integration into hypertension management .