ArticleEuropean heart journal. Digital health2022
Predictors of non-participation in a cardiac telerehabilitation programme: a prospective analysis.
Article in European heart journal. Digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 32 citations in OpenAlex.
- Patient characteristics of non-participants and reasons for non-participation in cardiac (tele)rehabilitation-a prospective analysis.Frontiers in rehabilitation sciences · 2026Article
- Barriers and Facilitators to the Initiation of Home-Based Exercise Rehabilitation After Radiofrequency Catheter Ablation for Atrial Fibrillation: A TDF-Based Qualitative Study.Patient preference and adherence · 2026Article
- Comparative Systematic Review of Home-Based and Center-Based Cardiac Rehabilitation of Delivery Models and Outcomes.Patient preference and adherence · 2026Review
- Comparing disparities in geographic proximity to exercise-based cardiac rehabilitation before and after decentralisation of services: a repeated cross-sectional study using individual-level register data.International journal for equity in health · 2025Article
- Effects of a digitally enabled cardiac rehabilitation intervention on risk factors, recurrent hospitalization and mortality.European heart journal. Digital health · 2025Article
- The Importance of Telerehabilitation and Future Directions for the Field.JMIR rehabilitation and assistive technologies · 2025Article
- Design Requirements for Cardiac Telerehabilitation Technologies Supporting Athlete Values: Qualitative Interview Study.JMIR rehabilitation and assistive technologies · 2025Article
- Cardiac Telerehabilitation After Heart Attack Using E-Learning Platforms and Monitoring Cardiovascular Risk Factors: A Narrative Review of the Literature.Medicina (Kaunas, Lithuania) · 2025Review
- Evaluation of a digital patient education programme in patients with coronary artery disease, a survey-based study.BMC health services research · 2024Article
- Cardiac (tele)rehabilitation in routine clinical practice for patients with coronary artery disease: protocol of the REHAB + trial.Frontiers in cardiovascular medicine · 2024Article
- Evaluation of an application for the self-assessment of lifestyle behaviour in cardiac patients.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2024Article
- Cardiac telerehabilitation: current status and future perspectives.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2024Review
- World Heart Federation Roadmap for Secondary Prevention of Cardiovascular Disease: 2023 Update.Global heart · 2024Article
- Factors influencing implementation of digital cardiac rehabilitation: A qualitative analysis of health workers perspectives.HRB open research · 2024Article
- Reasons and predictors of non-participation in a personalized digital prehabilitation care trial for patients undergoing elective cardiothoracic surgery.Interdisciplinary cardiovascular and thoracic surgery · 2023Article
- Predictors of program interest in a digital health pilot study for heart health.PLOS digital health · 2023Article
- Adherence to a lifestyle monitoring system in patients with heart disease: protocol for the care-on prospective observational trial.BMC cardiovascular disorders · 2023Article
- Clinicians' Experiences of Implementing a Telerehabilitation Toolkit During the COVID-19 Pandemic: Qualitative Descriptive Study.JMIR rehabilitation and assistive technologies · 2023Article
- The association of electronic health literacy with behavioural and psychological coronary artery disease risk factors in patients after percutaneous coronary intervention: a 12-month follow-up study.European heart journal. Digital health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims: Current cardiac telerehabilitation (CTR) interventions are insufficiently tailored to the preferences and competences of individual patients, which raises the question whether their implementation will increase overall participation and adherence to cardiac rehabilitation (CR). However, research on patient-specific factors that influence participation and adoption of CTR interventions is scarce. The aim of this study was to evaluate which patient-related characteristics influence participation in a novel CTR intervention in patients with coronary artery disease. Methods and results: This prospective observational substudy of the SmartCare-CAD randomized controlled trial evaluated patient characteristics of study participants as proxy for participation in a CTR intervention. We compared demographic, geographic, and health-related characteristics between trial participants and non-participants to determine which characteristics influenced trial participation. A total of 699 patients (300 participants and 399 non-participants; 84% male, mean age 64.3 ± 10.5 years) were included. Most of the non-participants refused participation because of insufficient technical skills or lack of interest in digital health (26%), or preferred centre-based CR (21%). Variables independently associated with non-participation included: higher age, lower educational level, shorter travelling distance, smoking, positive family history for cardiovascular disease, having undergone coronary artery bypass grafting; and a higher blood pressure, worse exercise capacity, and higher risk of depression before the start of CR. Conclusion: Participation in CTR is strongly influenced by demographic and health-related factors such as age, educational level, smoking status, and both physical and mental functioning. Cardiac telerehabilitation interventions should therefore be redesigned with the involvement of these currently underrepresented patient subgroups.
Indexed as
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.