Back to Search
Start Over
Cardiac patients show high interest in technology enabled cardiovascular rehabilitation.
- Source :
-
BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2016 Jul 19; Vol. 16, pp. 95. Date of Electronic Publication: 2016 Jul 19. - Publication Year :
- 2016
-
Abstract
- 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.<br />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.<br />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).<br />Conclusions: CVD patients show interest for technology enabled home-based CR. Our results could guide the design of a technology-based, virtual CR intervention.
Details
- Language :
- English
- ISSN :
- 1472-6947
- Volume :
- 16
- Database :
- MEDLINE
- Journal :
- BMC medical informatics and decision making
- Publication Type :
- Academic Journal
- Accession number :
- 27431419
- Full Text :
- https://doi.org/10.1186/s12911-016-0329-9