ArticleNPJ digital medicine2021
Management of cardiovascular disease using an mHealth tool: a randomized clinical trial.
Article in NPJ digital medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 14 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Prospective Validation of Usefulness in Cardiovascular Disease (CVD) Management With CVD Management Solution Based on Interconnection to Hospital Examination
Prospective Validation of Usefulness in the Hypertensive Disorder of Pregnancy With Cardiovascular Disease Management Solution Based on Interconnection to Hospital Examination
Who cites it
14 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Effectiveness of mobile health applications with behaviour change techniques in improving maternal health outcomes: a systematic review.BMC public health · 2026Pooled it
- Digital Health Solutions for Cardiovascular Disease Prevention: Systematic Review.Journal of medical Internet research · 2025Pooled it
- The Effects of mHealth Interventions on Quality of Life, Anxiety, and Depression in Patients With Coronary Heart Disease: Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2024Pooled it
- The effect of telemedicine on secondary prevention of atherosclerotic cardiovascular disease: A systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2022Pooled it
- Perceptions and Willingness of Patients and Caregivers on the Utilization of Patient-Generated Health Data: A Cross-Sectional Survey.International journal of environmental research and public health · 2025Article
- User Experience and Extended Technology Acceptance Model in Commercial Health Care App Usage Among Patients With Cancer: Mixed Methods Study.Journal of medical Internet research · 2024Article
- Article
- Mobile Health Interventions: A Frontier for Mitigating the Global Burden of Cardiovascular Disease.Cureus · 2024Review
- Article
- The Digitization and Decentralization of Clinical Trials.Mayo Clinic proceedings · 2023Review
- A Digital Infrastructure for Cardiovascular Patient Care Based on Mobile Health Data and Patient-Reported Outcomes: Concept Details of the Helios TeleWear Project Including Preliminary Experiences.JMIR formative research · 2023Article
- Pathophysiological mechanisms of post-myocardial infarction depression: a narrative review.Frontiers in psychiatry · 2023Review
- The Recent Advances of Mobile Healthcare in Cardiology Practice.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2022Review
- A randomized controlled trial of an mHealth application with nursing interaction to promote quality of life among community-dwelling older adults.Frontiers in psychiatry · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Atherosclerotic cardiovascular disease (ASCVD) is a leading cause of death and morbidity worldwide. This randomized controlled, single-center, open-label trial tested the impact of a mobile health (mHealth) service tool optimized for ASCVD patient care. Patients with clinical ASCVD were enrolled and randomly assigned to the intervention or control group. Participants in the intervention group were provided with a smartphone application named HEART4U, while a dedicated interface integrated into the electronic healthcare record system was provided to the treating physicians. A total of 666 patients with ASCVD were enrolled, with 333 patients in each group. The estimated baseline 10-year risk of cardiovascular disease was 9.5% and 10.8% in the intervention and control groups, respectively, as assessed by the pooled cohort risk equations. The primary study endpoint was the change in the estimated risk at six months. The estimated risk increased by 1.3% and 1.1%, respectively, which did not differ significantly (P = 0.821). None of the secondary study endpoints showed significant differences between the groups. A post-hoc subgroup analysis showed the benefit was greater if a participant in the intervention group accessed the application more frequently. The present study demonstrated no significant benefits associated with the use of the mHealth tool in terms of the predefined study endpoints in stable patients with ASCVD. However, it also suggested that motivating patients to use the mHealth tool more frequently may lead to greater clinical benefit. Better design with a positive user experience needs to be considered for developing future mHealth tools for ASCVD patient care.Trial Registration: ClinicalTrials.gov NCT03392259.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.