Perception of influencing factors on acceptance of mobile health monitoring service: A comparison between users and non-users

Healthcare Informatics Research

Volumn 19, Issue 3, 2013, Pages 167-176

  Lee, Jaebeom ^a   Rho, Mi Jung ^b  

^a Sogang University   (South Korea)

^b The Catholic University of Korea College of Medicine   (South Korea)

Author keywords

Mobile health; Telehealth; Telemedicine; UTAUT model

Indexed keywords

EID: 84885218689     PISSN: 20933681     EISSN: 2093369X     Source Type: Journal    
DOI: 10.4258/hir.2013.19.3.167     Document Type: Article

References (38)

1. Korean Health Industry Development Institution. 2009 Health care industry trends, issues and analysis. Cheongwon, Korea: Korean Health Industry Development Institution; 2009.
2. Istepanian RS, Sungoor A, Earle KA. Technical and compliance considerations for mobile health self-monitoring of glucose and blood pressure for patients with diabetes. Conf Proc IEEE Eng Med Biol Soc 2009; 2009: 5130-3.
3. Nundy S, Dick JJ, Goddu AP, Hogan P, Lu CY, Solomon MC, et al. Using mobile health to support the chronic care model: developing an institutional initiative. Int J Telemed Appl 2012; 2012: 871925.
4. Medical Service Act, Article 34: Remote Medical Treatment Law (Dec 8, 2011).
5. Yoo T, Koh HJ, Ou SW. Tele-primary care and patient satisfaction in Korea. J Korean Soc Med Inform 2003; 9(1): 17-24.
6. Lim S, Kim SY, Kim JI, Kwon MK, Min SJ, Yoo SY, et al. A survey on ubiquitous healthcare service demand among diabetic patients. Diabetes Metab J 2011; 35(1): 50-7.
7. Park H, Chon Y, Lee J, Choi IJ, Yoon KH. Service design attributes affecting diabetic patient preferences of telemedicine in South Korea. Telemed J E Health 2011; 17(6): 442-51.
8. Bakken S, Grullon-Figueroa L, Izquierdo R, Lee NJ, Morin P, Palmas W, et al. Development, validation, and use of English and Spanish versions of the telemedicine satisfaction and usefulness questionnaire. J Am Med Inform Assoc 2006; 13(6): 660-7.
9. van Bon AC, Kohinor MJ, Hoekstra JB, von Basum G, deVries JH. Patients' perception and future acceptance of an artificial pancreas. J Diabetes Sci Technol 2010; 4(3): 596-602.
10. Heart T, Kalderon E. Older adults: are they ready to adopt health-related ICT? Int J Med Inform 2011 Apr
11. [Epub]. Available from: http://www. ijmijournal. com/article/S1386-5056(11)00068-2/fulltext.
12. Yip MP, Chang AM, Chan J, MacKenzie AE. Development of the Telemedicine Satisfaction Questionnaire to evaluate patient satisfaction with telemedicine: a preliminary study. J Telemed Telecare 2003; 9(1): 46-50.
13. Hjelm NM. Benefits and drawbacks of telemedicine. J Telemed Telecare 2005; 11(2): 60-70.
14. Katz SJ, Moyer CA. The emerging role of online communication between patients and their providers. J Gen Intern Med 2004; 19(9): 978-83.
15. van der Vaart R, Drossaert CH, Taal E, van de Laar MA. Patient preferences for a hospital-based rheumatology Interactive Health Communication Application and factors associated with these preferences. Rheumatology (Oxford) 2011; 50(9): 1618-26.
16. Eikelboom RH, Atlas MD. Attitude to telemedicine, and willingness to use it, in audiology patients. J Telemed Telecare 2005; 11 Suppl 2: S22-5.
17. Martinez A, Everss E, Rojo-Alvarez JL, Figal DP, Garcia-Alberola A. A systematic review of the literature on home monitoring for patients with heart failure. J Telemed Telecare 2006; 12(5): 234-41.
18. Varkey P, Schumacher K, Swanton C, Timm B, Hagen PT. Telemedicine in the work site: a study of feasibility, and patient and provider satisfaction. J Telemed Telecare 2008; 14(6): 322-5.
19. Basoglu N, Daim TU, Topacan U. Determining patient preferences for remote monitoring. J Med Syst 2012; 36(3): 1389-401.
20. Shore JH, Brooks E, Savin D, Orton H, Grigsby J, Manson SM. Acceptability of telepsychiatry in American Indians. Telemed J E Health 2008; 14(5): 461-6.
21. Houston TK, Sands DZ, Jenckes MW, Ford DE. Experiences of patients who were early adopters of electronic communication with their physician: satisfaction, benefits, and concerns. Am J Manag Care 2004; 10(9): 601-8.
22. Buysse HE, Coorevits P, Van Maele G, Hutse A, Kaufman J, Ruige J, et al. Introducing telemonitoring for diabetic patients: development of a telemonitoring Inform 2010; 79(8): 576-84.
23. Lim N. Consumers' perceived risk: sources versus consequences. Electron Commer Res Appl 2003; 2(3): 216-28.
24. Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. MIS Q 2003; 27(3): 425-78.
25. Nwabueze SN, Mandela N, Meso PN, Mbarika VW, Kifle M, Okoli C, et al. The effects of culture of adoption of telemedicine in medically underserved communities. In: Proceedings of the 42nd Hawaii International Conference on System Sciences; 2009 Jan 5-8; Big Island, HI.
26. Kim C, Mirusmonov M, Lee I. An empirical examination of factors influencing the intention to use mobile payment. Comput Human Behav 2010; 26(3): 310-22.
27. Chang IC, Hwang HG, Hung WF, Li YC. Physicians' acceptance of pharmacokinetics-based clinical decision support systems. Expert Syst Appl 2007; 33(2): 296-303.
28. Nuq PA. Innovation adoption (behavioral intention) for eHealth services in developing countries: a conceptual framework. J Int Univ Genava Bus Rev 2009; 2(1): 75-80.
29. Schaper LK, Pervan GP. ICT and OTs: a model of information and communication technology acceptance and utilisation by occupational therapists. Int J Med Inform 2007; 76 Suppl 1: S212-21.
30. Wilson EV, Lankton NK. Modeling patients' acceptance of provider-delivered e-health. J Am Med Inform Assoc 2004; 11(4): 241-8.
31. Chismar WG, Wiley-Patton S. Test of the technology acceptance model for the internet in pediatrics. Proc AMIA Symp 2002; 2002: 155-9.
32. Puuronen S, Vasilyeva E, Pechenizkiy M, Tesanovic A. A holistic framework for understanding acceptance of Remote Patient Management (RPM) systems by nonprofessional users. In: Proceedings of the 23rd IEEE International Symposium on Computer-Based Medical Systems; 2010 Oct 12-15; Perth, Australia. p. 426-31.
33. Cranen K, Drossaert CH, Brinkman ES, Braakman-Jansen AL, Ijzerman MJ, Vollenbroek-Hutten MM. An explora tion of chronic pain patients' perceptions of home telerehabilitation services. Health Expect 2012; 15(4): 339-50.
34. Jia H, Chuang HC, Wu SS, Wang X, Chumbler NR. Long-term effect of home telehealth services on preventable hospitalization use. J Rehabil Res Dev 2009; 46(5): 557-66.
35. Mair FS, Goldstein P, May C, Angus R, Shiels C, Hibbert D, et al. Patient and provider perspectives on home telecare: preliminary results from a randomized controlled trial. J Telemed Telecare 2005; 11(Suppl 1): 95-7.
36. Nunnally JC. Psychometric theory. New York (NY): McGraw-Hill; 1978.
37. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis. 7th ed. Upper Saddle River (NJ): Prentice-Hall; 2010.
38. Choi W, Rho MJ, Park J, Kim KJ, Kwon YD, Choi IY. Information system success model for customer relationship management system in health promotion centers. Healthc Inform Res 2013; 19(2): 110-20.