References
- Yeganeh H. An analysis of emerging trends and transformations in global healthcare. Int J Health Governance. 2019. doi:10.1108/IJHG-02-2019-0012.
- Díaz-Martín AM, Schmitz A, Yagüe Guillén MJ. Are health e-mavens the new patient influencers? Front Psychol. 2020;11:00779. doi:10.3389/fpsyg.2020.00779.
- Hoque MR. An empirical study of mHealth adoption in a developing country: the moderating effect of gender concern. BMC Med Inform Decis Mak. 2016;16(1):51–60. doi:10.1186/s12911-016-0289-0.
- Akter S, D'Ambra J, Ray P, Hani U. Modelling the impact of mHealth service quality on satisfaction, continuance and quality of life. Behav Inf Technol. 2013;32(12):1225–41. doi:10.1080/0144929X.2012.745606.
- Idrish S, Rifat A, Iqbal M. Mobile health technology evaluation: innovativeness and efficacy vs. cost effectiveness. In: Information Resources Management Association, editor. Health economics and healthcare reform: breakthroughs in research and practice. USA: IGI Global ; 2018. p. 20–41. doi:10.4018/978-1-5225-3168-5.
- Laurenza, E., Quintano, M., Schiavone, F., & Vrontis, D. (2018). The effect of digital technologies adoption in healthcare industry: a case based analysis. Bus Process Manag J. doi:10.1108/BPMJ-04-2017-0084.
- Nikou S, Bouwman H. Mobile health and wellness applications: a business model ontology-based review. Int J E-Bus Res (IJEBR). 2017;13(1):1–24. doi:10.4018/IJEBR.2017010101.
- Ludden GDS, Vallgarda A. A design perspective on future healthcare services for the home environment. In: M Pfannstiel, C Rasche, editor. Service design and service thinking in healthcare and hospital management. Springer; 2019. p. 155–67. doi: 10.1007/978-3-030-00749-2_10
- Ravi T, Sanjivan G, Onkar S. (2020). mHealth Market by Type (mHealth Devices and mHealth Services), Stakeholders (Mobile Operators, Device Vendors, Healthcare Providers, and Content Players), and Application (Cardiovascular Diseases, Diabetes, Respiratory diseases, Neurological Disorders, and Others): Global Opportunity Analysis and Industry Forecast, 2020-2027. https://www.alliedmarketresearch.com/mobile-health-market.
- Lu C, Hu Y, Xie J, Fu Q, Leigh I, Governor S, et al. The use of mobile health applications to improve patient experience: cross-sectional study in Chinese public hospitals. JMIR Mhealth Uhealth. 2018;6(5). doi:10.2196/mhealth.9145.
- Parker L, Karliychuk T, Gillies D, Mintzes B, Raven M, Grundy Q. A health app developer’s guide to law and policy: a multi-sector policy analysis. BMC Med Inform Decis Mak. 2017;17(1):141. doi:10.1186/s12911-017-0535-0.
- Becker S, Miron-Shatz T, Schumacher N, Krocza J, Diamantidis C, Albrecht UV. Mhealth 2,0: experiences possibilities and perspectives. JMIR Mhealth Uhealth. 2014;(2). doi:10.2196/mhealth.3328.
- Ernsting C, Dombrowski SU, Oedekoven M, J LO, Kanzler M, Kuhlmey A, et al. Using smartphones and health apps to change and manage health behaviors: a population-based survey. J Med Internet Res. 2017;19(4):e101. doi:10.2196/jmir.6838.
- Madan P, Sharma V, Seth P. Capability development through ICT enabled business opportunity development model of e-choupal. J Bus Econ Manage. 2016;17(2):314–30. doi:10.3846/16111699.2012.747445.
- Heerden AV, Tomlinson M, Swartz L. Point of care in your pocket: a research agenda for the field of m-health. Bull W H O. 2012;90(5):393–4. doi:10.2471/BLT.11.099788.
- Nisha N, Iqbal M, Rifat A. The changing paradigm of health and mobile phones: an innovation in the health care system. J Global Inf Manage (JGIM). 2019;27(1):19–46. doi:10.4018/JGIM.2019010102.
- Ananthakrishnan AN, Singh S. The doctor will call you now! telemedicine in the midst of a pandemic. Clin Gastroenterol Hepatol. 2020. doi:10.1016/j.cgh.2020.04.031.
- Brew-Sam N, Chib A. Theoretical advances in mobile health communication research: an empowerment approach to self-management. In: Technology and health. Academic Press; 2020. p. 151–77. doi:10.1016/B978-0-12-816958-2.00008-3.
- Rahman MS, Peeri NC, Shrestha N, Zaki R, Haque U, Ab Hamid SH. Defending against the novel coronavirus (COVID-19) outbreak: how can the internet of things (IoT) help to save the world? Health Policy Technol. 2020. doi:10.1016/j.hlpt.2020.04.005.
- Vidal-Alaball J, Acosta-Roja R, Pastor N, Sanchez U, Morrison D, Narejos S, et al. (2020). Telemedicine in the face of the COVID-19 pandemic. Atencion Primaria, Advance online publication. doi:10.1016/j.aprim.2020.04.003.
- Rai A, Chen L, Pye J, Baird A. Understanding determinants of consumer mobile health usage intentions, assimilation, and channel preferences. J Med Internet Res. 2013;15(8):e149. doi:10.2196/jmir.2635.
- Schuster L, Drennan J, Lings IN. Consumer acceptance of m-wellbeing services: a social marketing perspective. Eur J Mark. 2013;47(9):1439–57. doi:10.1108/EJM-10-2011-0556.
- Kulkarni R. Use of telehealth in the delivery of comprehensive care for patients with haemophilia and other inherited bleeding disorders. Haemophilia. 2018;24(1):33–42. doi:10.1111/hae.13364.
- Rad MS, Nilashi M, Dahlan HM. Information technology adoption: a review of the literature and classification. Univers Access Inf Soc. 2018;17(2):361–90. doi:10.1007/s10209-017-0534-z.
- Teital JM, Barnard D, Israels S, Lillicrap D, Poon MC, Sek K. Home management of haemophilia. Haemophilia. 2004;10(2):118–33. doi:10.1046/j.1365-2516.2003.00853.x.
- Franchini M. The modern treatment of haemophilia: a narrative review. Blood Trans. 2013;11(2):178–82. doi:10.2450/2012.0166-11.
- Walker I, Sigouin C, Sek J, Almonte T, Carruthers J, Chan A, et al. Comparing hand-held computers and paper diaries for haemophilia home therapy: a randomized trial. Haemophilia. 2004;10(6):698–704. doi:10.1111/j.1365-2516.2004.01046.x.
- Schmoldt D. Smart medication: electronic diary, medication management and analysis tool of haemophilia home treatment: development, implementation. test and operating of a telemedicine platform. Int J Inf Commun Technol Res. 2014;4(3):74–84.
- Sun N, Rau PLP. The acceptance of personal health devices among patients with chronic conditions. Int J Med Inf. 2015;84(4):288–97. doi:10.1016/j.ijmedinf.2015.01.002.
- Baker RI, Laurenson L, Winter M, Pritchard AM. The impact of information technology on haemophilia care. Haemophilia. 2004;10(4):41–6. doi:10.1111/j.1365-2516.2004.00995.x.
- Teixeira L, Saavedra V, Ferreira C, Santos BS. (2012). Improvement of Surveillance of Hemophilia Treatment through ICTs. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 5883−5886. doi:10.1109/EMBC.2012.6347332.
- Khair K,, Holland M. Managing hemophilia: the role of mobile technology. Smart Homecare Technol Telehealth. 2014;(2):39–44. doi:10.2147/SHTT.S40961.
- Jacobson K, Hooke MC. Telehealth videoconferencing for children with hemophilia and their families. A clinical project. J Pediatr Oncol Nurs. 2016;33(4):282–8. doi:10.1177/1043454215607340.
- Khair K, Holland M, Carrington S. Social networking for adolescents with severe haemophilia. Haemophilia. 2012;18(3):e290–6. doi:10.1111/j.1365-2516.2011.02689.x.
- Broderick CR, Herbert RD, Latimer J, Mathieu E, van Doorn N, Curtin JA. Feasibility of short message service to document bleeding episodes in children with haemophilia. Haemophilia. 2012;18(6):906–10. doi:10.1111/j.1365-2516.2012.02869.x.
- Breakey VR, Warias AV, Ignas DM, White M, Blanchette VS, Stinson JN. The value of usability testing for internet-based adolescent self-management interventions: managing hemophilia online. BMC Med Inform Decis Mak. 2013;13(1):113–6. doi:10.1186/1472-6947-13-113.
- Breakey VR, Ignas DM, Warias AV, White M, Blanchette VS, Stinson JN. A pilot randomized control trial to evaluate the feasibility of an internet-based self-management and transitional care program for youth with haemophilia. Haemophilia. 2014;20(6):784–93. doi:10.1111/hae.12488.
- Lara M, Duncan N, McGuinn K, Chapin J. Effect of hemophilia treatment center digital monitoring on bleeding rates. 12 month study. Am J Hematol. 2016;91(9):E408–E408. NJ, USA: Wiley-Blackwell.
- Cuesta-Barriuso R, López-Pina JA, Nieto-Munuera J, Sagarra-Valls G, Panisello-Royo JM, Torres-Ortu-o A. Effectiveness of the medtep hemophilia online platform for adherence to prophylactic treatment in haemophilia patients: results from a 1-year observational study. Haemophilia. 2018;24(3):452–9. doi:10.1111/hae.13444.
- Santandreu MMS, Sánchez-Raga JM, Massanet AP, Sureda BG, Delgado O, Sampol A, et al. Impact of mhealth and ehealth applications on hemophilia treatment management. Blood. 2018;132(Supplement 1):5038–5038. doi:10.1182/blood-2018-99-119139.
- Qian W, Lam TTN, Lam HHW, Li CK, Cheung YT. Telehealth interventions for improving self-management in patients with hemophilia: scoping review of clinical studies. J Med Internet Res. 2019;21(7):e12340. doi: 10.2196/12340.
- Holden RJ, Karsh BT. The technology acceptance model: its past and its future in health care. J Biomed Inform. 2010;43(1):159–72. doi:10.1016/j.jbi.2009.07.002.
- Sun Y, Wang N, Guo X, Peng Z. Understanding the acceptance of mobile health services: a comparison and integration of alternative models. J Electron Commerce Res. 2013;14(2):183–200.
- Canhoto AI, Arp S. Exploring the factors that support adoption and sustained use of health and fitness wearables. J Marker Manage. 2017;33(1-2):32–60. doi:10.1080/0267257X.2016.1234505.
- Ouschan R, Sweeney J, Johnson L. Customer empowerment and relationship outcomes in health care consultations. European J Market. 2006;40(9/10):1068–1086. doi:10.1108/03090560610681014
- Dwivedi YK, Shareef MA, Simintiras AC, Lal B, Weerakkody V. A generalised adoption model for services: a cross-country comparison of mobile health (m-health). Gov Inf Q. 2016;33(1):174–87. doi:10.1016/j.giq.2015.06.003.
- Awad NF, Krishnan MS. The personalization privacy paradox: an empirical evaluation of information transparency and the willingness to be profiled online for personalization. MIS Q. 2006;30(1):13–28. doi:10.2307/25148715.
- Sutanto J, Palme E, Tan CH, Phang CW. Addressing the personalization-privacy paradox: An empirical assessment from a field experiment on smartphone users. MIS Q. 2013;37(4):1141–64. doi:10.25300/MISQ/2013/37.4.07.
- Guo X, Zhang X, Sun Y. The privacy–personalization paradox in mHealth services acceptance of different age groups. Electron Commer Res Appl. 2016;16(1):55–65. doi:10.1016/j.elerap.2015.11.001.
- Athale A, Giguere A, Barbara A, Krassova S, Iorio A. Developing a two-sided intervention to facilitate shared decision-making in haemophilia: decision boxes for clinicians and patient decision aids for patients. Haemophilia. 2014;20(6):800–6. doi:10.1111/hae.12495.
- Funnell MM. Peer-based behavioural strategies to improve chronic disease self-management and clinical outcomes: evidence, logistics, evaluation considerations and needs for future research. Fam Pract. 2010;27(1):i17–22. doi:10.1093/fampra/cmp027.
- Embuldeniya G, Veinot P, Bell E, Bell M, Nyhof-Young J, Sale JE, et al. The experience and impact of chronic disease peer support interventions: a qualitative synthesis. Patient Educ Couns. 2013;92(1):3–12. doi:10.1016/j.pec.2013.02.002.
- Agarwal R, Dugas M, Gao GG, Kannan PK. Emerging technologies and analytics for a new era of value-centered marketing in healthcare. J Acad Marketing Sci. 2020;48(1):9–23. doi:10.1007/s11747-019-00692-4.