Analyzing older users' home telehealth services acceptance behavior-applying an Extended UTAUT model

International Journal of Medical Informatics

Volumn 90, Issue , 2016, Pages 22-31

  Cimperman, Miha ^a   Makovec Brenčič, Maja ^a   Trkman, Peter ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Home telehealth services; Oder adults' decision making; Technology acceptance prediction

Indexed keywords

BEHAVIORAL RESEARCH; DECISION MAKING; FORECASTING; MEDICAL COMPUTING; SURVEYS;

FACILITATING CONDITIONS; HEALTH PROFESSIONALS; HOME TELEHEALTH; METHODOLOGICAL GUIDELINES; PERCEIVED SECURITIES; PERCEIVED USEFULNESS; STRUCTURAL EQUATION MODELING; TECHNOLOGY ACCEPTANCE;

ACCEPTANCE TESTS;

ADULT; AGED; ARTICLE; ELDERLY CARE; FEMALE; HEALTH BEHAVIOR; HEALTH SERVICE; HOME CARE; HOME TELEHEALTH SERVICE; HUMAN; MALE; PREDICTIVE VALUE; PRIORITY JOURNAL; RURAL AREA; SLOVENIA; SOCIAL ACCEPTANCE; SOCIAL BEHAVIOR; STRUCTURAL EQUATION MODELING; TELEHEALTH; URBAN AREA; AGE; COMPUTER INTERFACE; MIDDLE AGED; PATIENT ATTITUDE; PROCEDURES; PSYCHOLOGICAL MODEL; PSYCHOLOGY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TELEMEDICINE;

AGE FACTORS; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, PSYCHOLOGICAL; MODELS, STATISTICAL; PATIENT ACCEPTANCE OF HEALTH CARE; SLOVENIA; TELEMEDICINE; USER-COMPUTER INTERFACE;

EID: 84962560124     PISSN: 13865056     EISSN: 18728243     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2016.03.002     Document Type: Article

References (83)

1. Hailey D., Roine R., Ohinmaa A. Systematic review of evidence for the benefits of telemedicine. J. Telemed. Telecare 2002, 8(Supplement 1 March):1-7.
2. Heinzelmann P.J., Lugn N.E., Kvedar J.C. Telemedicine in the future. J. Telemed. Telecare 2005, 11(December (8)):384-390.
3. Edgren L. Health consumer diversity and its implications. J. Syst. Sci. Syst. Eng. 2006, 15(March (1)):34-47.
4. Gammon D., Berntsen G.K.R., Koricho A.T., Sygna K., Ruland C. The chronic care model and technological research and innovation: a scoping review at the crossroads. J. Med. Internet Res. 2015, 17(February (2)):e25.
5. Or C.K.L., Karsh B.-T. A systematic review of patient acceptance of consumer health information technology. J. Am. Med. Inform. Assoc. 2009, 16(July (4)):550-560.
6. Barlow J., Singh D., Bayer S., Curry R. A systematic review of the benefits of home telecare for frail elderly people and those with long-term conditions. J. Telemed. Telecare 2007, 13(January (4)):172-179.
7. Botsis T., Demiris G., Pedersen S., Hartvigsen G. Home telecare technologies for the elderly. J. Telemed. Telecare 2008, 14(January (7)):333-337.
8. Czaja S.J., Lee C.C., Nair S.N., Sharit J. Older adults and technology adoption. Proc. Hum. Factors Ergon. Soc. Annu. Meet. 2008, 52(September (2)):139-143.
9. Ackerman M.J., Filart R., Burgess L.P., Lee I., Poropatich R.K. Developing next-generation telehealth tools and technologies: patients, systems, and data perspectives. Telemed. J. E-Health Off. J. Am. Telemed. Assoc. 2010, 16(February (1)):93-95. PMID: 20043711.
10. Bashshur R.L. On the definition and evaluation of telemedicine. Telemed. J. Off. J. Am. Telemed. Assoc. 1995, 1(1):19-30. PMID: 10165319.
11. Botsis T., Hartvigsen G. Current status and future perspectives in telecare for elderly people suffering from chronic diseases. J. Telemed. Telecare 2008, 14(January (4)):195-203.
12. Koch S. Home telehealth-current state and future trends. Int. J. Med. Inform. 2006, 75(August (8)):565-576.
13. Sutcliffe A., Thew S., Bruijn O.D., Buchan I., Jarvis P., McNaught J., et al. User engagement by user-centred design in e-Health. Philos. Trans. R. Soc. Math. Phys. Eng. Sci. 2010, 368(September (1926)):4209-4224.
14. Peek S.T.M., Wouters E.J.M., van Hoof J., Luijkx K.G., Boeije H.R., Vrijhoef H.J.M. Factors influencing acceptance of technology for aging in place: a systematic review. Int. J. Med. Inform. 2014, 83(April (4)):235-248. PMID: 24529817.
15. Mitzner T.L., Boron J.B., Fausset C.B., Adams A.E., Charness N., Czaja S.J., et al. Older adults talk technology: technology usage and attitudes. Comput. Hum. Behav. 2010, 26(November (6)):1710-1721.
16. Moschis G.P. Marketing to Older Consumers: A Handbook of Information for Strategy Development 1992, Greenwood Publishing Group.
17. Drolet A., Schwartz N., Yoon C. The Aging Consumer: Perspectives From Psychology and Economics 2010, Taylor & Francis.
18. van Gemert-Pijnen J.E., Nijland N., van Limburg M., Ossebaard H.C., Kelders S.M., Eysenbach G., et al. A holistic framework to improve the uptake and impact of eHealth technologies. J. Med. Internet Res. 2011, 13(December (4)). PMID: 22155738.
19. Hawley-Hague H., Boulton E., Hall A., Pfeiffer K., Todd C. Older adults' perceptions of technologies aimed at falls prevention, detection or monitoring: a systematic review. Int. J. Med. Inform. 2014, 83(June (6)):416-426. PMID: 24798946.
20. Kim M.J., Oh M.W., Cho M.E., Lee H., Kim J.T. A critical review of user studies on healthy smart homes. Indoor Built Environ. 2013, 22(February (1)):260-270.
21. Koch S. Meeting the challenges-the role of medical informatics in an ageing society. Stud. Health Technol. Inform. 2006, 124:25-31. PMID: 17108500.
22. Bensink M., Hailey D., Wootton R. A systematic review of successes and failures in home telehealth: preliminary results. J. Telemed. Telecare 2006, 12(November (7)):8-16.
23. Alaiad A., Zhou L. The determinants of home healthcare robots adoption: an empirical investigation. Int. J. Med. Inform. 2014, 83(November (11)):825-840.
24. Chan M., Estève D., Escriba C., Campo E. A review of smart homes-resent state and future challenges. Comput. Methods Programs Biomed. 2008, 91(July (1)):55-81.
25. Eklund JM, Hansen TR, Sprinkle J, Sastry S. Information Technology for Assisted Living at Home: building a wireless infrastructure for assisted living. Eng Med Biol Soc 2005 IEEE-EMBS 2005 27th Annu Int Conf Of 2005. p. 3931-3934.
26. Marschollek M., Gietzelt M., Schulze M., Kohlmann M., Song B., Wolf K.-H. Wearable sensors in healthcare and sensor-enhanced health information systems: all our tomorrows?. Healthcare Inform. Res. 2012, 18(June (2)):97-104. PMID: 22844645.
27. Mosa A.S.M., Yoo I., Sheets L. A systematic review of healthcare applications for smartphones. BMC Med. Inform. Decis. Mak. 2012, 12(December (1)):1-31.
28. Raad M.W., Yang L.T. A ubiquitous smart home for elderly. Inf. Syst. Front. 2009, 11(November (5)):529-536.
29. Rho M.J., Kim H.S., Chung K., Choi I.Y. Factors influencing the acceptance of telemedicine for diabetes management. Clust. Comput. 2014, 18(March (1)):321-331.
30. Najaftorkaman M., Ghapanchi A.H., Talaei-Khoei A., Ray P. A taxonomy of antecedents to user adoption of health information systems: a synthesis of thirty years of research. J. Assoc. Inf. Sci. Technol. 2015, 66(March (3)):576-598.
31. Truett K.R. Age differences in conservatism. Personal. Individ. Differ. 1993, 14(March (3)):405-411.
32. Call V.R.A., Erickson L.D., Dailey N.K., Hicken B.L., Rupper R., Yorgason J.B., et al. Attitudes toward telemedicine in urban rural, and highly rural communities. Telemed. J. E-Health Off. J. Am. Telemed. Assoc. 2015, 21(August (8)):644-651. PMID: 25839334.
33. Yuan S., Ma W., Kanthawala S., Peng W. Keep using my health apps: discover users' perception of health and fitness apps with the UTAUT2 model. Telemed. J. E-Health Off. J. Am. Telemed. Assoc. 2015, 21(September (9)):735-741. PMID: 25919238.
34. Cranen K., Drossaert C.H.C., Brinkman E.S., Braakman-Jansen A.L.M., Ijzerman M.J., Vollenbroek-Hutten M.M.R. An exploration of chronic pain patients' perceptions of home telerehabilitation services. Health Expect. Int. J. Public Particip. Health Care Health Policy 2012, 15(December (4)):339-350. PMID: 21348905.
35. Coughlin JF, D'Ambrosio LA, Reimer B, Pratt MR. Older adult perceptions of smart home technologies: implications for research, policy & market innovations in healthcare. 29th Annu Int Conf IEEE Eng Med Biol Soc 2007 EMBS 2007. p. 1810-1815.
36. Lee C., Coughlin J.F. Perspective: older adults' adoption of technology: an integrated approach to identifying determinants and barriers. J Prod Innov Manag 2015, 32(September (5)):747-759.
37. Holden R.J., Karsh B.-T. Methodological review: the technology acceptance model: its past and its future in health care. J. Biomed. Inform. 2010, 43(1):159-172.
38. Marangunić N., Granić A. Technology acceptance model: a literature review from 1986 to 2013. Univers. Access Inf. Soc. 2014, 14(February (1)):81-95.
39. Venkatesh V., Morris M.G., Davis Gordon B., Davis F.D. User acceptance of information technology: toward a unified view. MIS Q 2003, 27(3):425-478.
40. Veer A.J.E.de, Peeters J.M., Brabers A.E., Schellevis F.G., Rademakers J.J., Francke A.L. Determinants of the intention to use e-Health by community dwelling older people. BMC Health Serv. Res. 2015, 15(March (1)):103.
41. Kohnke A., Cole M.L., Bush R.G. Incorporating UTAUT predictors for understanding home care patients' and clinician's acceptance of healthcare telemedicine equipment. J. Technol. Manag. Innov. 2014, 9(June (2)):29-41.
42. Liu C.-F., Tsai Y.-C., Jang F.-L. Patients' acceptance towards a web-based personal health record system: an empirical study in Taiwan. Int. J. Environ. Res. Public Health 2013, 10(October (10)):5191-5208.
43. Davis F.D., Bagozzi R.P., Warshaw P.R. Extrinsic and intrinsic motivation to use computers in the workplace1. J. Appl. Soc. Psychol. 1992, 22(July (14)):1111-1132.
44. Venkatesh V., Thong J.Y.L., Chan F.K.Y., Hu P.J.-H., Brown S.A. Extending the two-stage information systems continuance model: incorporating UTAUT predictors and the role of context. Inf. Syst. J. 2011, 21(6):527-555.
45. Kijsanayotin B., Pannarunothai S., Speedie S.M. Factors influencing health information technology adoption in Thailand's community health centers: applying the UTAUT model. Int. J. Med. Inf. 2009, 78(June (6)):404-410.
46. Tsai C.-H. Integrating social capital theory, social cognitive theory, and the technology acceptance model to explore a behavioral model of telehealth systems. Int. J. Environ. Res. Public Health 2014, 11(May (5)):4905-4925.
47. Venkatesh V., Thong J.Y.L., Xu X. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q 2012, 36(March (1)):157-178.
48. Cimperman M., Brenčič M.M., Trkman P., Stanonik M., de L. Older adults' perceptions of home telehealth services. Telemed E-Health 2013, 19(August (10)):786-790.
49. Kim J., Park H.-A. Development of a health information technology acceptance model using consumers' health behavior intention. J. Med. Internet Res. 2012, 14(October (5)):e133.
50. Arning K., Ziefle M. Different perspectives on technology acceptance: the role of technology type and age. HCI Usability E-Incl Berlin Heidelberg 2009, 20-41. Springer Berlin, Heidelberg. A. Holzinger, K. Miesenberger (Eds.).
51. Or C.K.L., Karsh B.-T., Severtson D.J., Burke L.J., Brown R.L., Brennan P.F. Factors affecting home care patients' acceptance of a web-based interactive self-management technology. J. Am. Med. Inform. Assoc. 2011, 18(January (1)):51-59.
52. Duyck P., Pynoo B., Devolder P., Voet T., Adang L., Vercruysse J. User acceptance of a picture archiving and communication system. Methods Inf. Med. 2008, 47(2):149-156.
53. Hung S.-Y., Ku Y.-C., Chien J.-C. Understanding physicians' acceptance of the medline system for practicing evidence-based medicine: a decomposed TPB model. Int. J. Med. Inf. 2011, (October (31)).
54. Ketikidis P., Dimitrovski T., Lazuras L., Bath P.A. Acceptance of health information technology in health professionals: an application of the revised technology acceptance model. Health Inform. J. 2012, 18(June (2)):124-134.
55. Schepers J., Wetzels M. A meta-analysis of the technology acceptance model: investigating subjective norm and moderation effects. Inf. Manag. 2007, 44(1):90-103.
56. Chau P.Y.K., Hu P.J.-H. Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories. Inf. Manag. 2002, 39(January (4)):297-311.
57. Schaper L.K., Pervan G.P. ICT and OTs: a model of information and communication technology acceptance and utilisation by occupational therapists. Int. J. Med. Inform. 2007, 76(June Supplement (1)):S212-S221.
58. Heinz M., Martin P., Margrett J.A., Yearns M., Franke W., Yang H.-I., et al. Perceptions of technology among older adults. J. Gerontol. Nurs. 2013, 39(January (1)):42-51.
59. Steele R., Lo A., Secombe C., Wong Y.K. Elderly persons' perception and acceptance of using wireless sensor networks to assist healthcare. Int. J. Med. Inform. 2009, 78(December (12)):788-801.
60. Ryu M.-H., Kim S., Lee E. Understanding the factors affecting online elderly user's participation in video UCC services. Comput. Hum. Behav. 2009, 25(May (3)):619-632.
61. Yoon C., Cole C.A., Lee M. Consumer decision making and aging: current knowledge and future directions. J. Consum. Psychol. 2009, 19(1):2-16.
62. Li X., Hess T.J., Valacich J.S. Why do we trust new technology? A study of initial trust formation with organizational information systems. J. Strateg. Inf. Syst. 2008, 17(March (1)):39-71.
63. Rahimpour M., Lovell N.H., Celler B.G., McCormick J. Patients' perceptions of a home telecare system. Int. J. Med. Inform. 2008, 77(July (7)):486-498.
64. Weaver McCloskey D, editor. The Importance of ease of use, usefulness, and trust to online consumers: an examination of the technology acceptance model with older consumers. Electron commer concepts methodol tools Appl, 2008. p. 1400-1417.
65. Mazur D.J., Hickam D.H., Mazur M.D., Mazur M.D. The role of doctor's opinion in shared decision making: what does shared decision making really mean when considering invasive medical procedures?. Health Expect. In.t J. Public Particip. Health Care Health Policy 2005, 8(June (8)):97-102. PMID: 15860050.
66. Abramson Z.H., Cohen-Naor V. Factors associated with performance of influenza immunization among the elderly. Isr. Med. Assoc. J. IMAJ 2000, 2(12):902-907.
67. Steginga S.K., Occhipinti S. Decision making about treatment of hypothetical prostate cancer. J. Psychosoc. Oncol. 2002, 20(3):69-84.
68. Shah S.G.S., Barnett, Kuljis J., Kate Richard Factors determining patients&' intentions to use point-of-care testing medical devices for self-monitoring: the case of international normalized ratio self-testing. Patient Preference Adherence 2012, 1(December).
69. Huang J.-C. Remote health monitoring adoption model based on artificial neural networks. Expert Syst. Appl. 2010, 37(January (1)):307-314.
70. Porter C.E., 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(September (9)):999-1007.
71. Thompson R.L., Higgins C.A., Howell J.M. Personal computing: toward a conceptual model of utilization. MIS Q 1991, 15(March (1)):125-143.
72. Phang C.W., Sutanto J., Kankanhalli A., Li Yan, Tan B.C., Teo Hock-Hai Senior citizens' acceptance of information systems: a study in the context of e-government services. IEEE Trans. Eng. Manag. 2006, 53(November (4)):555-569.
73. Rosen L.D., Weil M.M. Computer anxiety: a cross-cultural comparison of university students in ten countries. Comput. Hum. Behav. 1995, 11(Spring (1)):45-64.
74. Cerpa A., Estrin D. ASCENT: adaptive self-configuring sensor networks topologies. IEEE Trans. Mob. Comput. 2004, 3(3):272-285.
75. Cheng T.C.E., Lam D.Y.C., Yeung A.C.L. Adoption of internet banking: an empirical study in Hong Kong. Decis. Support Syst. 2006, 42(December (3)):1558-1572.
76. Swasy J.L. Measuring the bases of social power. Adv. Consum. Res. 1979, 06:340-346.
77. Baumgartner H., Homburg C. Applications of structural equation modeling in marketing and consumer research: a review. Int. J. Res. Mark. 1996, 13(April (2)):139-161.
78. Edwards J.R., Bagozzi R.P. On the nature and direction of relationships between constructs and measures. Psychol. Methods 2000, 5(2):155-174.
79. Hair J.F., Black W.C., Babin B.J., Anderson R.E. Multivariate Data Analysis 2010, Prentice Hall Higher Education. seventh edition.
80. Czaja S.J., Lee C.C. The impact of aging on access to technology. Univers. Access Inf. Soc. 2006, 5(December (4)):341-349.
81. Janz B.D., Hennington A. Information systems and healthcare XVI: physician adoption of electronic medical records: applying the UTAUT model in a healthcare context. Commun. Assoc. Inf. Syst. [Internet] 2007, 19(March (1)). Available from: http://aisel.aisnet.org/cais/vol19/iss1/5.
82. Lewis W., Agarwal R., Sambamurthy V. Sources of influence on beliefs about information technology use: an empirical study of knowledge workers. MIS Q 2003, 27(December (4)):657-678.
83. Carstensen L.L., Fung H.H., Charles S.T. Socioemotional selectivity theory and the regulation of emotion in the second half of life. Motiv. Emot. 2003, 27(June (2)):103-123.