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Original Articles

Electronic Health Record Portals adoption: Empirical model based on UTAUT2

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References

  • Angst CM, Agarwal R. Adoption of electronic health records in the presence of privacy concerns: the elaboration likelihood model and Individual Persuasion. Mis Q. 2009;33(2):339–70.
  • Andreassen HK, Bujnowska-Fedak MM, Chronaki CE, Dumitru RC, Pudule I, Santana S, Voss H, Wynn R. European citizens’ use of E-health services: A study of seven countries. BMC Public Health. 2007;7:53.
  • Tavares J, Oliveira T. Electronic health record portals definition and usage. In: Edited by, Maria Manuela -C-C, Isabel Maria M, Ricardo M, Rui R. Encyclopedia of E-health and telemedicine. Hershey, PA, USA: IGI Global; 2016. p. 555–62.
  • Blumenthal D, Tavenner M. The “meaningful use” regulation for electronic health records. N Engl J Med. 2010;363(6):501–04.
  • Black H, Gonzalez R, Priolo C, Schapira MM, Sonnad SS, Hanson CW, Langlotz CP, Howell JT, Apter AJ. True “meaningful use”: technology meets both patient and provider needs. Am J Manag Care. 2015;21(5):E329–E337.
  • Slight PS, Berner SE, Galanter W, Huff S, Lambert LB, Lannon C, Lehmann UC, McCourt JB, McNamara M, Menachemi N, et al. Meaningful use of electronic health records: experiences from the field and future opportunities. JMIR Med Inform. 2015;3(3):e30.
  • McDougald Scott AM, Jackson GP, Ho Y-X, Yan Z, Davison C, Rosenbloom ST. Adapting comparative effectiveness research summaries for delivery to patients and providers through a patient portal. AMIA Annu Symp proc/AMIA Symp AMIA Symp. 2013;2013:959–68.
  • Tavares J, Oliveira T. e-health Web based technologies patient adoption. Rev Saúde Pública. 2014;48(n.esp):25.
  • Knaup P, Schoepe L. Using data from ambient assisted living and smart homes in electronic health records. Methods Inf Med. 2014;53(3):149–51.
  • HealthCare IT News. Patient portals. Providers choose path of least resistance; 2013 January 02 [internet] [accessed 2015 August 23]. http://www.healthcareitnews.com/press-release/patient-portals-providers-choose-path-least-resistance.
  • Ancker JS, Barron Y, Rockoff ML, Hauser D, Pichardo M, Szerencsy A, Calman N. Use of an electronic patient portal among disadvantaged populations. J Gen Intern Med. 2011;26(10):1117–23.
  • Clamp S, Keen J. Electronic health records: is the evidence base any use? Med Inform Internet Med. 2007;32(1):5–10.
  • Alpay LL, Henkemans OB, Otten W, Rovekamp TAJM, Dumay ACM. e-health applications and services for patient empowerment: directions for best practices in The Netherlands. Telemed J E Health. 2010;16(7):787–91.
  • Kern LM, Edwards A, Kaushal R, Investigators H. The meaningful use of electronic health records and health care quality. Am J Med Qual. 2015;30(6):512–19.
  • Ancker JS, Brenner S, Richardson JE, Silver M, Kaushal R. Trends in public perceptions of electronic health records during early years of meaningful use. Am J Manag Care. 2015;21(8):E487–E493.
  • HealthIT.gov [2014]. Achieve meaningful use stage 2 [accessed 2014 September 12]. http://www.healthit.gov/providers-professionals/step-5-achieve-meaningful-use-stage-2.
  • CUF [2017]. My CUF [accessed 2016 December 30]. https://www.saudecuf.pt/mycuf.
  • Wilson EV, Lankton NK. Modeling patients’ acceptance of provider-delivered e-health. J Am Med Inform Assoc. 2004;11(4):241–48.
  • Jung M-L, Loria K. Acceptance of Swedish e-health services. J Multidiscip Healthc. 2010;3:55–63.
  • Lemire M, Pare G, Sicotte C, Harvey C. Determinants of Internet use as a preferred source of information on personal health. Int J Med Inform. 2008;77(11):723–34.
  • Lemire M, Sicotte C, Pare G. Internet use and the logics of personal empowerment in health. Health Policy. 2008;88(1):130–40.
  • Kim J, Park H-A. Development of a health information technology acceptance model using consumers’ health behavior intention. J Med Internet Res. 2012;14(5):e133.
  • Hoque MR, Bao YK, Sorwarb G. Investigating factors influencing the adoption of e-Health in developing countries. Patient’s Perspective Inform Health Soc Care. 2017;42(1):1–17.
  • Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: toward a unified view. Mis Q. 2003;27(3):157–78.
  • Venkatesh V, Thong JYL, Xu X. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. Mis Q. 2012;36(1):425–78.
  • Miltgen CL, Popovič A, Oliveira T. Determinants of end-user acceptance of Biometrics: integrating the “Big 3” of technology acceptance with privacy context. Decis Support Syst. 2013;53:103–14.
  • Keselman A, Logan R, Smith CA, Leroy G, Zeng-Treitler Q. Developing informatics tools and strategies for consumer-centered health communication. J Am Med Inform Assoc. 2008;15(4):473–83.
  • Rodrigues DF, Lopes JC, Tavares JF: Maninfold marketing. A new marketing archetype for the information age, applied to the adoption of oral contraceptives and other drugs by end-users. Proceedings of the Third Annual Conference of International Network of Business & Management Journals (INBAM): 2013; Lisbon; 2013.
  • Cocosila M, Archer N. Adoption of mobile ICT for health promotion: an empirical investigation. Electron Markets. 2010;20(3–4):241–50.
  • Or CKL, Karsh B-T. A systematic review of patient acceptance of consumer health information technology. J Am Med Inform Assoc. 2009;16(4):550–60.
  • Lai JY, Wang JT. Switching attitudes of Taiwanese middle-aged and elderly patients toward cloud healthcare services: an exploratory study. Technol Forecast Soc Change. 2015;92:155–67.
  • Martins C, Oliveira T, Popovič A. Understanding the Internet banking adoption: an unified theory of acceptance and use of technology and perceived risk application. Int J Inf Manage. 2014;34(1):1–13.
  • Brislin RW. Back-translation for cross- cultural research. J Cross Cult Psychol. 1970;1(3):185–216.
  • Wild D, Grove A, Martin M, Eremenco S, McElroy S, Verjee-Lorenz A, Erikson P. Principles of good practice for the translation and cultural adaptation process for patient-reported outcomes (PRO) measures: report of the ISPOR task force for translation and cultural adaptation. Value Health. 2005;8(2):94–104.
  • Yasnoff WA, Shortliffe EH. Lessons learned from a health record bank start-up. Methods Inf Med. 2014;53(2):66–72.
  • Kalton G, Anderson DW. Sampling rare populations. J Royal Stat Soc Ser a-Statistics Soc. 1986;149:65–82.
  • Picot SJF, Samonte J, Tierney JA, Connor J, Powel LL. Effective sampling of rare population elements - Black female caregivers and noncaregivers. Res Aging. 2001;23(6):694–712.
  • Roblin DW, Houston TK II, Allison JJ, Joski PJ, Becker ER. Disparities in use of a personal health record in a managed care organization. J Am Med Inform Assoc. 2009;16(5):683–89.
  • Renahy E, Parizot I, Chauvin P. Health information seeking on the Internet: a double divide? Results from a representative survey in the Paris metropolitan area, France, 2005-2006. BMC Public Health. 2008;8(1):69.
  • Zhang X, Yu P, Yan J, Ton AM, Spil I. Using diffusion of innovation theory to understand the factors impacting patient acceptance and use of consumer e-health innovations: a case study in a primary care clinic. BMC BMC Health Serv Res. 2015;15(1):1–15.
  • Henseler J, Ringle CM, Sinkovics RR. The use of partial least squares path modeling in international marketing. In: New challenges to international marketing (advances in international marketing). Vol. 20. Emerald Group Publishing Limited, Bingley, UK; 2009. p. 277–319.
  • Götz O, Liehr-Gobbers K, Krafft M. Evaluation of structural equation models using the partial least squares (PLS) approach. In: Edited by, Vinzi VE, Chin WW, Henseler J, Wang H. Handbook of partial least squares. Springer Berlin, Germany Heidelberg; 2010. p. 691–711.
  • Hair J, Hult GT, Ringle C, Sarstedt M. A primer on partial least squares structural equation modeling (PLS-SEM). SAGE Publications, Inc, Thousand Oaks, CA; 2014.
  • Jamil JM, Wallace J, Abdi R Partial Least Square and Bootstrapping. The Impact of Missing Data. Pls ‘09: Proceedings of the 6th International Conference on Partial Least Squares and Related Methods; 2009; 189–93.
  • Hair JF, Ringle CM, Sarstedt M. PLS-SEM: indeed a silver bullet. J Marketing Theory Pract. 2011;19(2):139–51.
  • Ringle CM, Wende S, Will A. SmartPLS 2.0. Hamburg; 2005. URL: http://www.smartpls.de [accessed 2015-08-23]
  • MacKenzie SB, Podsakoff PM, Podsakoff NP. Construct measurement and validation procedures in MIS and behavioral research: integrating new and existing techniques. Mis Q. 2011;35(2):293–334.
  • Churchill GA. A paradigm for developing better measures of marketing constructs. J Mark Res. 1979;16(1):64–73.
  • Fornell C, Larcker DF. Structural equation models with unobservable variables and measurement error- algebra and statistics. J Mark Res. 1981;18(3):382–88.
  • Chin WW. The partial least squares approach for structural equation modeling. In: Marcoulides GA, editor. Modern methods for business research. Lawrence Erlbaum Associates Publishers, Mahwah, NJ; 1998. p. 295–336.
  • Eurostat [2014]. Households having access to the Internet, by type of connection. [accessed 2014 August 18]. http://epp.eurostat.ec.europa.eu/tgm/table.do?tab=table&init=1&plugin=1&language=en&pcode=tin00073.
  • Eurostat. Internet access and use of ICT in enterprises, Luxembourg / Eurostat; 2011.
  • 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.
  • Arsand E, Demiris G. User-centered methods for designing patient-centric self-help tools. Inform Health Soc Care. 33(3):158–69.
  • Kelders SM, Pots WTM, Oskam MJ, Bohlmeijer ET, Van Gemert-Pijnen JEWC. Development of a web-based intervention for the indicated prevention of depression. BMC Med Inform Decis Mak. 2013;13:26.
  • Bjerkan J, Hedlund M, Helleso R. Patients’ contribution to the development of a web-based plan for integrated care - a participatory design study. Inform Health Soc Care. 2015;40(2):167–84.
  • Michel-Verkerke MB, Spil TAM. The USE IT-adoption-model to predict and evaluate adoption of information and communication technology in healthcare. Methods Inf Med. 2013;52(6):475–83.
  • Handel MJ. mHealth (Mobile Health) - using apps for health and wellness. Explore (NY). 2011;7(4):256–61.
  • Lim S, Xue L, Yen CC, Chang L, Chan HC, Tai BC, Duh HBL, Choolani M. A study on Singaporean women’s acceptance of using mobile phones to seek health information. Int J Med Inform. 2011;80(12):E189–E202.
  • Kharrazi H, Chisholm R, VanNasdale D, Thompson B. Mobile personal health records: an evaluation of features and functionality. Int J Med Inform. 2012;81(9):579–93.

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