ArticleJMIR mHealth and uHealth2019
Perceptions and Acceptance of mHealth in Patients With Cardiovascular Diseases: A Cross-Sectional Study.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.
- Actual use, intention to use, and user attitudes toward mobile health applications for coronary heart disease self-management: a systematic review and meta-analysis.BMC medical informatics and decision making · 2026Pooled it
- Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis.JMIR mHealth and uHealth · 2022Pooled it
- Wearable equipment-based telemedical management via multiparameter monitoring on cardiovascular outcomes in elderly patients with chronic coronary heart disease: an open-labelled, randomised, controlled trial.BMJ health & care informatics · 2024Trial
- Effects on Adherence to a Mobile App-Based Self-management Digital Therapeutics Among Patients With Coronary Heart Disease: Pilot Randomized Controlled Trial.JMIR mHealth and uHealth · 2022Trial
- Internet healthcare in Chinese public hospitals: Towards high-quality development (1986-present).AIMS public health · 2026Review
- Awareness, Perceptions, Willingness, and Feasibility of mHealth Apps Among People Living With Epilepsy: Cross-Sectional Questionnaire Study.JMIR formative research · 2025Article
- Cross-Sectional Study of the Changes in Attitudes of Post-Acute Coronary Syndromes Patients Towards Remote Biosignal Monitoring an eHealth Support in a 5-Year Interval.Journal of clinical medicine · 2025Article
- Article
- Implementation of a coach-supported mHealth intervention for dementia prevention in China: a qualitative study among Chinese participants and coaches in the PRODEMOS trial.Journal of global health · 2025Article
- Exploring Acceptance of Digital Health Technologies for Managing Non-Communicable Diseases Among Older Adults: A Systematic Scoping Review.Journal of medical systems · 2025Article
- Impact of smart healthcare on the physical and mental health of older adults Chinese patients with chronic diseases under the background of "Internet Plus": analysis of data from the China family panel studies.Frontiers in public health · 2025Article
- Health Maintenance Organization-mHealth Versus Face-to-Face Interaction for Health Care in Israel: Cross-Sectional Web-Based Survey Study.Journal of medical Internet research · 2024Article
- A profile of patients' and doctors' perceptions, acceptance, and utilization of e-health in a deprived region in southwestern China.PLOS digital health · 2023Article
- Willingness to Use Mobile Health Devices in the Post-COVID-19 Era: Nationwide Cross-sectional Study in China.Journal of medical Internet research · 2023Article
- Omnichannel Communication to Boost Patient Engagement and Behavioral Change With Digital Health Interventions.Journal of medical Internet research · 2022Article
- Gender differences regarding intention to use mHealth applications in the Dutch elderly population: a cross-sectional study.BMC geriatrics · 2022Article
- mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review.Healthcare (Basel, Switzerland) · 2022Article
- Willingness to Receive mHealth Messages Among Diabetic Patients at Mizan Tepi University Teaching Hospital: Implications for Digital Health.Patient preference and adherence · 2022Article
- Factors Associated With Intention to Adopt mHealth Apps Among Dementia Caregivers With a Chronic Condition: Cross-sectional, Correlational Study.JMIR mHealth and uHealth · 2021Article
- Mobile Electronic Devices as Means of Facilitating Patient Activation and Health Professional Empowerment Related to Information Seeking on Chronic Conditions and Medications: Qualitative Study.JMIR mHealth and uHealth · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile 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.
objectiveThis 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.
methodsWe 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.
resultsOverall, 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.
conclusionsAlthough 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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