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Updated: Jan 29, 2026

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Perceptions and Acceptance of mHealth in Patients With Cardiovascular Diseases: A Cross-Sectional Study
Jie Jiang1, Qin Zhu2, Yimei Zheng1
1Department of Cardiology, Peking University First Hospital, Beijing, China.
Background:
Mobile health (mHealth)-a method of assisting long-term care in patients with chronic cardiovascular diseases (CVDs)-is gaining popularity in China, mainly owing to the large number of patients and limited clinical resources. Patients of different ages have varying needs for CVD management. However, evidence regarding how age influences Chinese CVD patients' use and perceptions of mHealth is limited.
Objective:
This study aimed to explore age-related differences among Chinese patients with CVD regarding their use and perceptions of mHealth and to determine the factors that influence this population's willingness to use mHealth technologies.
Methods:
We conducted a cross-sectional study of patients with chronic CVDs in a tertiary hospital in Beijing using a new questionnaire designed by the investigators. Participants were sourced using nonproportional quota-sampling methods, being recruited consecutively in each sampling category (age 18-49, 50-64, 65-74, and ≥75 years, with at least 25 men and 25 women in each age group). The survey consisted of 5 parts, including sociodemographic profile and medical history; current disease management situation; self-evaluation of disease management; current usage of mobile and internet technology (IT); and willingness to use an mHealth solution to perform disease self-management. Responses were compared among the 4 age groups as well as between patients who were willing to use mHealth solutions and those who were not. Multivariate logistic regression model was used to identify predictors of willingness to use mHealth for self-management.
Results:
Overall, 231 patients (124 men) completed the questionnaire; of these, 53 were aged 18-49 years, 66 were aged 50-64 years, 54 were aged 65-74 years, and 58 were aged ≥75 years. Patients in the older cohorts visited hospitals more often than did those in the younger cohorts (P<.001), and they also showed lower technology skills regarding the use of mobile or internet devices (P<.001) and searched for health-related information on the internet less often (P<.001). In addition, 68.0% (157/231) of the patients showed interest in using mHealth solution to manage their disease; of these, 40.8% (64/157) were aged 65 years. Patients who were more willing to use mHealth solution to manage their diseases were younger (P<.001), more educated (P<.001), still working (P=.001), possessed higher skill regarding mobile or internet device use (P<.001), and more frequently searched for health information on the internet (P<.001). Finally, multivariate logistic regression showed that IT skill was the single indicator (P=.003) of willingness to use mHealth, not age.
Conclusions:
Although age is associated with the use of mobile or internet devices, the sole indicator of mHealth use for self-management was participants' IT skills. Education regarding the use of mobile devices and development of easy-to-use software might improve the acceptance of mHealth solutions among older patient populations.
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