Factors influencing the acceptance of telemedicine for diabetes management

Aggelidis, V.P., Chatzoglou, P.D.: Using a modified technology acceptance model in hospitals. Int. J. Med. Inform. 78, 115–126 (2009)

Ahn, Y.H.: Characteristics of subgroups on patients with hypertension for hypertension management—based on knowledge, attitudes, and behavior related to medication and health lifestyle. J. Korean Acad. Community Health Nurs. 18, 112–122 (2007)

Aldosari, B.: User acceptance of a picture archiving and communication system (PACS) in a Saudi Arabian hospital radiology department. BMC Med. Inf. Decis. Making. 12(44), (2012).

Bakken, S., Grullon-Figueroa, L., Izquierdo, R., Lee, N.J., Morin, P., Palmas, W., Teresi, J., Weinstock, R.S., Shea, S., Starren, J.: IDEATel consortium: development, validation, and use of English and Spanish versions of the telemedicine satisfaction and usefulness Basoglu questionnaire. J. Am. Med. Inform. Assoc. 13, 660–667 (2006)

Basoglu, N., Daim, T.U., Topacan, U.: Determining patient preferences for remote monitoring. J. Med. Syst. 36, 1389–1401 (2010)

Bellazzi, R., Arcelloni, M., Ferrari, P., Decata, P., Hernando, M.E., García, A., Gazzaruso, C., Gómez, E.J., Larizza, C.: Management of patients with diabetes through information technology: tools for monitoring and control of the patients’ metabolic behavior, pietro fratino, and mario stefanelli diabetes. Tech. Therapeutics. 6, 567–578 (2004)

Bellazzi, R., Larizza, S., Montani, S., Riva, A., Stefanelli, M., d’Annunzio, G., Lorini, R., Gomez, E.J., Hernando, E., Brugues, E., Cermeno, J., Corcoy, R., de Leiva, A., Cobelli, C., Nucci, G., Del Prato, S., Maran, A., Kilkki, E., Tuominen, J.: A telemedicine support for diabetes management: the T-IDDM project. Comput. Methods Progr. Biomed. 69, 147–161 (2002)

Chang, I.C., Hsu, H.M.: Predicting medical staff intention to use an online reporting system with modified unified theory of acceptance and use of technology. Telemed. J. E. Health. 8, 67–73 (2012)

Chang, I.C., Hwang, H.G., Hung, W.F., Li, Y.C.: Physicians’ acceptance of pharmacokinetics-based clinical decision support systems. Expert Syst. Appl. 33, 296–303 (2007)

Chau, P.Y.K., Hu, P.J.H.: Examining a model of information technology acceptance by individual professionals: an exploratory study. J. Manag. Inf. Syst. 18, 191–229 (2002)

Chau, P.Y.K., Hu, P.J.H.: Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Inf. Manage. 39, 297–311 (2002)

Chin, W.W.: The partial least squares approach to structural equation modeling. In: Marcoulides, GA. (eds.) Moderns Methods for Business Research Mahwahm, pp. 295–336. Lawrence Erlbaum Associates, NJ (1998).

Choi, I.Y., Kim, S.K., Kwon, Y.D.: Key aspects of using web-based diabetes telemedicine systems in multiple clinical settings. J. Kor. Soc. Med. Inf. 13(4), 375–383 (2007)

Duyck, P., Pynoo, B., Devolder, P., Voet, T., Adang, L., Ovaere, D.: Monitoring the PACS implementation process in a large university hospital-discrepancies between radiologists and physicians. J. Digit. Imagin. 23, 73–80 (2010)

Holden, R.J., Karsh, B.T.: The technology acceptance model: its past and its future in health care. J Biomed. Inf. 43, 159–172 (2010)

Hsu, C.L., Tseng, K.C., Chuang, Y.H.: Predictors of future use of telehomecare health services by middle-aged people in Taiwan. J. Soc. Behav. Pers. 39, 1251–1261 (2011)

Im, I., Hong, S.T., Kang, M.S.: An international comparison of technology adoption: testing the UTAUT model. Inf. Manage. 48, 1–8 (2011)

Jung, E.Y., Kim, J.H., Chung, K.Y., Park, D.K.: Home health gateway based healthcare services through U-Health platform. Wirel. Pers. Commun. 73(2), 207–218 (2013)

Jung, E.Y., Kim, J.H., Chung, K.Y., Park, D.K.: Mobile healthcare application with EMR interoperability for diabetes patients. Cluster Comput. (2013). doi: 10.1007/s10586-013-0315-2

Jung, H., Chung, K.Y.: Mining based associative image filtering using harmonic mean. Cluster Comput. (2013). doi: 10.1007/s10586-013-0318-z

Kijsanayotina, B., Pannarunothaib, S., Speedie, S.M.: Factors influencing health information technology adoption in Thailand’s community health centers: applying the UTAUT model. Int. J. Med. Inf. 78, 404–416 (2009)

Kim, C., Mirusmonov, M., Lee, I.: An empirical examination of factors influencing the intention to use mobile payment. Comput. Human. Behav. 26, 310–322 (2010)

Korea Institute for Health and Social Affairs: Korea’s Health and Welfare Trends 2010. 2010–28 (2010).

Korean Health and Society Research Center: A Report of Korea Health Panel Survey 2008(1), 2009–28 (2008)

Krupinski, E., Nypaver, M., Poropatich, R., Ellis, D., Safwat, R., Sapci, H.: Clinical applications in telemedicine/telehealth. Telemed. J. e-Health. 8, 13–34 (2002)

Lee, J.B., Rho, M.J.: The perception of influencing factors on acceptance of mobile health monitoring service: a comparison between users and non-users. Healthc. Inf. Res. 19(3), 167–176 (2013)

Lee, S.B., Baik, Y.J., Nam, K.C., Ahn, J.H., Lee, Y.J., Oh, S.S., Kim, K.S.: Developing a cognitive evaluation method for serious game engineers. Cluster Comput. (2013). doi: 10.1007/s10586-013-0289-0

Lindenmeyer, A., Whitlock, S., Sturt, J., Griffiths, F.: Patient engagement with a diabetes self-management intervention. Chronic Illn. 6, 306–316 (2010)

Mair, F.S., Goldstein, P., May, C., Angus, R., Shiels, C., Hibbert, D., O’Connor, J., Boland, A., Roberts, C., Haycox, A., Capewell, S.: Patient and provider perspectives on home telecare: preliminary results from a randomized controlled trial. J. Telemed. Telecare. 11, 95–97 (2005)

Nunnally, J.C.: Psychometric Theory. McGraw-Hill, New York (1978)

Oh, S.Y., Chung, K.Y.: Target speech feature extraction using non-parametric correlation coefficient. Cluster Comput. (2013). doi: 10.1007/s10586-013-0284-5

Okazaki, S., Mendez, F.: Exploring convenience in mobile commerce: moderating effects of gender. Comput. Human. Behav. 29, 1234–1242 (2013)

Park, E.J.: Medication Compliance: Factors and Interventions. Health and welfare policy forum. 82–91 (2011).

Park, H.Y., Chon, Y.C., Lee, J.S., Choi, I.J., Yoon, K.H.: Service design attributes affecting diabetic patient preferences of telemedicine in South Korea. Telemed. J. E. Health. 17, 442–451 (2011)

Preston, D.S.: Karahanna E. antecedents of IS strategic alignment: a nomological network. Inf. Syst. Res. 20, 159–179 (2009)

Schrijver, G.J.: The User of Video-Telephony in the Care Process of ALS Patients. Master’s thesis. University of Twente. (2008).

Tenenhaus, M.: Component-based structural equation modelling. Qual. Manag. Bus. Excell. 19, 871–886 (2008)

Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Quart. 27, 425–478 (2003)

Venkatesh, V., Sykes, T.A., Zhang, X.: Just what the doctor ordered: a revised UTAUT for EMR system adoption and use by Doctors. in: Proceedings of the 44th Hawaii International Conference on System Sciences 2011 (2011).

Ward, R., Stevens, C., Brentnall, P., Briddon, J.: The attitudes of health care staff to information technology: a comprehensive review of the research literature. Health. Info. Libr. J. 25, s81–97 (2008)

Wetzels, M., Odekerken-Schroder, G., Oppen, C.V.: Using PLS path modeling for assessing hierarchical construct models: guidelines and empirical illustration. MIS Quart. 33, 177–195 (2009)

Wright, E.W.: The Rx for Electronic Healthcare Records: Time, Not Incentives, Case Western Reserve University. USA. Sprouts: Working Papers on Information Systems. 5 (2005).

Wu, J., Wang, S.C., Lin, L.M.: Mobile computing acceptance factors in the healthcare industry: a structural equation model. Int. J. Med. Inf. 76, 66–77 (2007)

Yu, P., Li, H., Gagnon, M.P.: Health IT acceptance factors in long-term care facilities: a cross-sectional survey. Int. J. Med. Inf. 78, 219–229 (2009)