Cardiac patients show high interest in technology enabled cardiovascular rehabilitation

BMC Medical Informatics and Decision Making

Volumn 16, Issue 1, 2016, Pages

  Buys, Roselien ^a,b   Claes, Jomme ^b   Walsh, Deirdre ^c   Cornelis, Nils ^a   Moran, Kieran ^c   Budts, Werner ^b,d   Woods, Catherine ^c   Cornelissen, Véronique A ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b UNIVERSITY OF LEUVEN   (Belgium)

^c DUBLIN CITY UNIVERSITY   (Ireland)

^d UNIVERSITY HOSPITALS LEUVEN   (Belgium)

Author keywords

Cardiac rehabilitation; Exercise; Lifestyle risk reduction; Physical activity; Technology

Indexed keywords

ADULT; AGED; AMBULATORY MONITORING; CARDIOVASCULAR DISEASES; COMPUTER ASSISTED THERAPY; COMPUTER INTERFACE; FEMALE; HEART REHABILITATION; HUMAN; INTERNET; MALE; MIDDLE AGED; PATIENT ATTITUDE; PSYCHOLOGY;

ADULT; AGED; CARDIAC REHABILITATION; CARDIOVASCULAR DISEASES; FEMALE; HUMANS; INTERNET; MALE; MIDDLE AGED; MONITORING, AMBULATORY; PATIENT ACCEPTANCE OF HEALTH CARE; THERAPY, COMPUTER-ASSISTED; USER-COMPUTER INTERFACE;

EID: 84978706350     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/s12911-016-0329-9     Document Type: Article

References (35)

1. WHO. Fact sheet n°317. 2013.
2. Nichols M, Townsed N. European cardiovascular disease statistics 2012. 2012.
3. childeren Doha. Changing cardiovascular health, national cardiovascular health policy 2010-2019. Dublin: Governement Publications; 2010.
4. Taylor R, Kirby B. The evidence base for the cost effectiveness of cardiac rehabilitation. Heart. 1997;78(1):5-6.
5. Bjarnason-Wehrens B, McGee H, Zwisler AD, Piepoli MF, Benzer W, Schmid JP, et al. Cardiac rehabilitation in Europe: results from the European cardiac rehabilitation inventory survey. Eur J Cardiovasc Prev Rehabil. 2010;17(4):410-8.
6. Foundation IAoCRatIH. National survey of cardiac rehabilitation services 2013, infographic. 2013.
7. Martin AM, Woods CB. What sustains long-term adherence to structured physical activity after a cardiac event? J Aging Phys Act. 2012;20(2):135-47.
8. Clark RA, Conway A, Poulsen V, Keech W, Tirimacco R, Tideman P. Alternative models of cardiac rehabilitation: a systematic review. Eur J Prev Cardiol. 2015;22(1):35-74.
9. Saner H. e-cardiology and e-health: from industry-driven technical progress to clinical application. Eur J Prev Cardiol. 2014;21(2 Suppl):2-3.
10. Frederix I, Vanhees L, Dendale P, Goetschalckx K. A review of telerehabilitation for cardiac patients. J Telemed Telecare. 2015;21(1):45-53.
11. Dale LP, Whittaker R, Eyles H, Mhurchu CN, Ball K, Smith N, et al. Cardiovascular disease self-management: pilot testing of an mHealth healthy eating program. J Pers Med. 2014;4(1):88-101.
12. Peels DA, de Vries H, Bolman C, Golsteijn RHJ, van Stralen MM, Mudde AN, et al. Differences in the use and appreciation of a web-based or printed computer-tailored physical activity intervention for people aged over 50 years. Health Educ Res. 2013;28(4):715-31.
13. Olson K. Diffusion of technology: frequency of use for younger and older adults. Ageing Int 2011. 2011;36(1):123-45.
14. Young R, Willis E, Cameron G, Geana M. "Willing but unwilling": attitudinal barriers to adoption of home-based health information technology among older adults. Health Informatics J. 2013;20(2):127-35.
15. Blazun H. Elderly people's interaction with advanced technology. Stud Health Technol Inform. 2014;201:1-10.
16. Porter CE, Donthu N. Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics. J Bus Res. 2006;59(9):999-1007.
17. Scanlon L. Technology use and frequency and self-rated skills: a survey of community-dwelling older adults. J Am Geriatr Soc. 2015;63(7):1483-4.
18. Pouchieu C. How computer literacy and socioeconomic status affect attitutes toward a Web-based cohort: results from the NutriNet-santé study. J Med Internet Res. 2015;17(2):e34.
19. Pelliccia A, Fagard R, Bjornstad HH, Anastassakis A, Arbustini E, Assanelli D, et al. Recommendations for competitive sports participation in athletes with cardiovascular disease: a consensus document from the study group of sports cardiology of the working group of cardiac rehabilitation and exercise physiology and the working group of myocardial and pericardial diseases of the European society of cardiology. Eur Heart J. 2005;26(14):1422-45.
20. Vanhees L, Rauch B, Piepoli M, van Buuren F, Takken T, Borjesson M, et al. Importance of characteristics and modalities of physical activity and exercise in the management of cardiovascular health in individuals with cardiovascular disease (Part III). Eur J Prev Cardiol. 2012;19(6):1333-56.
21. Budts W, Borjesson M, Chessa M, van Buuren F, Trigo Trindade P, Corrado D, et al. Physical activity in adolescents and adults with congenital heart defects: individualized exercise prescription. Eur Heart J. 2013;34(47):3669-74.
22. Heidbuchel H, Corrado D, Biffi A, Hoffmann E, Panhuyzen-Goedkoop N, Hoogsteen J, et al. Recommendations for participation in leisure-time physical activity and competitive sports of patients with arrhythmias and potentially arrhythmogenic conditions. Part II: ventricular arrhythmias, channelopathies and implantable defibrillators. Eur J Cardiovasc Prev Rehabil. 2006;13(5):676-86.
23. Heidbuchel H, Panhuyzen-Goedkoop N, Corrado D, Hoffmann E, Biffi A, Delise P, et al. Recommendations for participation in leisure-time physical activity and competitive sports in patients with arrhythmias and potentially arrhythmogenic conditions Part I: Supraventricular arrhythmias and pacemakers. Eur J Cardiovasc Prev Rehabil. 2006;13(4):475-84.
24. Pelliccia A, Corrado D, Bjornstad HH, Panhuyzen-Goedkoop N, Urhausen A, Carre F, et al. Recommendations for participation in competitive sport and leisure-time physical activity in individuals with cardiomyopathies, myocarditis and pericarditis. Eur J Cardiovasc Prev Rehabil. 2006;13(6):876-85.
25. Achttien RJ, Vromen T, Staal JB, Peek N, Spee RF, Niemeijer VM, et al. Development of evidence-based clinical algorithms for prescription of exercise-based cardiac rehabilitation. Neth Heart J. 2015;23(12):563-75.
26. Peek STM, Wouters EJM, van Hoof J, Luijkx KG, Boeije HR, Vrijhoef HJM. Factors influencing acceptance of technology for aging in place: a systematic review. Int J Med Inform. 2014;83(4):235-48.
27. Basoglu N, Daim TU, Topacan U. Determining patient preferences for remote monitoring. J Med Syst. 2010;36(3):1389-401.
28. Or CKL, Karsh BT. A systematic review of patient acceptance of consumer health information technology. J Am Med Inform Assoc. 2009;16(4):550-60.
29. Baron NS, Campbell EM. Gender and mobile phones in cross-national context. Lang Sci. 2012;34(1):13-27.
30. Joiner R, Gavin J, Brosnan M, Cromby J, Gregory H, Guiller J, et al. Gender, internet experience, internet identification, and internet anxiety: a Ten-year followup. Cyberpsychol Behav Soc Netw. 2012;15(7):370-2.
31. Desai RA, Krishnan-Sarin S, Cavallo D, Potenza MN. Video-gaming among high school students: health correlates, gender differences, and problematic gaming. Pediatrics. 2010;126(6):e1414-24.
32. Marker AM, Staiano AE. Better together: outcomes of cooperation versus competition in social exergaming. Games Health J. 2015;4(1):25-30.
33. Kontos E. Predictors of eHealth usage: insights on the digital divide from the Health Information National Trends Survey 2012. J Med Internet Res. 2014;2014:16.
34. Analysis HBHIS-I. Health interview survey 2013. 2013.
35. Harrison JL, Silversides CK, Oechslin EN, Kovacs AH. Healthcare needs of adults with congenital heart disease: study of the patient perspective. J Cardiovasc Nurs. 2011;26(6):497-503.