Observational studyJournal of medical Internet research2024
Living Lab Data of Patient Needs and Expectations for eHealth-Based Cardiac Rehabilitation in Germany and Spain From the TIMELY Study: Cross-Sectional Analysis.
Observational study in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05461729 (TIMELY-PrädiktoR Prospective Study), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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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.
TIMELY-PrädiktoR Prospective Study
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- How digital health tools shape emotional support experiences in cardiovascular care: a systematic review and thematic synthesis.Frontiers in cardiovascular medicine · 2026Pooled it
- The Effectiveness of Remote Exercise Rehabilitation Based on the "SCeiP" Model in Homebound Patients With Coronary Heart Disease: Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Care Needs of Patients With Chronic Cardiovascular Diseases: An Integrative Review.Health science reports · 2026Review
- A machine learning approach predicts improvement of physical exercise capacity based on pulse wave analysis in coronary artery disease patients.Journal of sport and health science · 2026Article
- Rehabilitation needs and adherence among TAVR patients and their caregivers during digital home-based cardiac rehabilitation: a qualitative longitudinal study.BMC nursing · 2026Article
- Patient-Centered Risk Prediction, Prevention, and Intervention Platform (TIMELY) to Support the Continuum of Care in Coronary Artery Disease Using eHealth and Artificial Intelligence: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2025Article
- Design and validation of an energy level diary for fatigue management in patients with post-COVID syndrome.Frontiers in rehabilitation sciences · 2025Article
- Biomarker-based risk assessment of dietary intervention in patients with coronary artery disease during cardiac rehabilitation-a quasi-experimental study.Frontiers in nutrition · 2025Article
- Patient-reported preferences in eHealth-based cardiac rehabilitation: A qualitative investigation of behavior change techniques, barriers and facilitators.Internet interventions · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of eHealth technology in cardiac rehabilitation (CR) is a promising approach to enhance patient outcomes since adherence to healthy lifestyles and risk factor management during phase III CR maintenance is often poorly supported. However, patients' needs and expectations have not been extensively analyzed to inform the design of such eHealth solutions.
objectiveThe goal of this study was to provide a detailed patient perspective on the most important functionalities to include in an eHealth solution to assist them in phase III CR maintenance.
methodsA guided survey as part of a Living Lab approach was conducted in Germany (n=49) and Spain (n=30) involving women (16/79, 20%) and men (63/79, 80%) with coronary artery disease (mean age 57 years, SD 9 years) participating in a structured center-based CR program. The survey covered patients' perceived importance of different CR components in general, current usage of technology/technical devices, and helpfulness of the potential features of eHealth in CR. Questionnaires were used to identify personality traits (psychological flexibility, optimism/pessimism, positive/negative affect), potentially predisposing patients to acceptance of an app/monitoring devices.
resultsAll the patients in this study owned a smartphone, while 30%-40% used smartwatches and fitness trackers. Patients expressed the need for an eHealth platform that is user-friendly, personalized, and easily accessible, and 71% (56/79) of the patients believed that technology could help them to maintain health goals after CR. Among the offered components, support for regular physical exercise, including updated schedules and progress documentation, was rated the highest. In addition, patients rated the availability of information on diagnosis, current medication, test results, and risk scores as (very) useful. Of note, for each item, except smoking cessation, 35%-50% of the patients indicated a high need for support to achieve their long-term health goals, suggesting the need for individualized care. No major differences were detected between Spanish and German patients (all P>.05) and only younger age (P=.03) but not sex, education level, or personality traits (all P>.05) were associated with the acceptance of eHealth components.
conclusionsThe patient perspectives collected in this study indicate high acceptance of personalized user-friendly eHealth platforms with remote monitoring to improve adherence to healthy lifestyles among patients with coronary artery disease during phase III CR maintenance. The identified patient needs comprise support in physical exercise, including regular updates on personalized training recommendations. Availability of diagnoses, laboratory results, and medications, as part of a mobile electronic health record were also rated as very useful.
trial registrationClinicalTrials.gov NCT05461729; https://clinicaltrials.gov/study/NCT05461729.
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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.