Changes in outcome measures.

Changes in outcome measures.</p

Patient satisfaction and perception.

Patient satisfaction and perception.</p

Flow of the SunRISe study.

Flow of the SunRISe study.</p

Overview intervention program.

Overview intervention program.</p

S1 Checklist -

(DOC)</p

Demographic and clinical characteristics of the study population.

Demographic and clinical characteristics of the study population.</p

Protocol of the SunRISe-study as approved by the ethics committee.

(PDF)</p

Changes in the primary outcome measure within the intervention group.

Changes in the primary outcome measure within the intervention group.</p

Electronic health physical activity behavior change intervention to self-manage cardiovascular disease: qualitative exploration of patient and health professional requirements

Background: Cardiovascular diseases are a leading cause of premature death worldwide. International guidelines recommend routine delivery of all phases of cardiac rehabilitation. Uptake of traditional cardiac rehabilitation remains suboptimal, as attendance at formal hospital-based cardiac rehabilitation programs is low, with community-based cardiac rehabilitation rates and individual long-term exercise maintenance even lower. Home-based cardiac rehabilitation programs have been shown to be equally effective in clinical and health-related quality of life outcomes and yet are not readily available. Objective: Given the potential that home-based cardiac rehabilitation programs have, it is important to explore how to appropriately design any such intervention in conjunction with key stakeholders. The aim of this study was to engage with individuals with cardiovascular disease and other professionals within the health ecosystem to (1) understand the personal, social, and physical factors that inhibit or promote their capacity to engage with physical activity and (2) explore their technology competencies, needs, and wants in relation to an eHealth intervention. Methods: Fifty-four semistructured interviews were conducted across two countries. Interviews were audiotaped, transcribed verbatim, and analyzed using thematic analysis. Barriers to the implementation of PATHway were also explored specifically in relation to physical capability and safety as well as technology readiness and further mapped onto the COM-B model for future intervention design. Results: Key recommendations included collection of patient data and use of measurements, harnessing hospital based social connections, and advice to utilize a patient-centered approach with personalization and tailoring to facilitate optimal engagement. Conclusions: In summary, a multifaceted, personalizable intervention with an inclusively designed interface was deemed desirable for use among cardiovascular disease patients both by end users and key stakeholders. In-depth understanding of core needs of the population can aid intervention development and acceptability

Cardiac patients show high interest in technology enabled cardiovascular rehabilitation.

Background: Cardiac rehabilitation (CR) can slow or reverse the progression of cardiovascular disease (CVD). However, uptake of community-based CR is very low. E-cardiology, e-health and technology solutions for physical activity uptake and monitoring have evolved rapidly and have potential in CVD management. However, it is unclear what the current technology usage is of CVD patients, and their needs and interests for technology enabled CR. Methods: A technology usage questionnaire was developed and completed by patients from a supervised ambulatory CR program and an adult congenital heart disease clinic and from two community-based CR programs. Results were described and related with age, gender and educational level by Spearman correlations. Results: Of 310 patients, 298 patients (77 % male; mean age 61,7 ± 14,5 years) completed at least 25 questions of the survey and were included in the analysis (completion rate 96 %). Most (97 %) patients had a mobile phone and used the internet (91 %). Heart rate monitors were used by 35 % and 68 % reported to find heart rate monitoring important when exercising at home. Physical activity monitoring was reported by 12 % of the respondents. Respondents were interested in CR support through internet (77 %) and mobile phone (68 %). Many patients reported interest in game-based CR (67 %) and virtual rehabilitation (58 %). At least medium interest in technology enabled CR was reported by 75 % of the patients. Interest decreased with increasing age (r = −0.16; p = 0.005). Conclusions: CVD patients show interest for technology enabled home-based CR. Our results could guide the design of a technology-based, virtual CR intervention