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Understanding the mHealth implementation and adoption impact: a FVM perspective

Nilmini Wickramasinghe

Abstract


Successful adoption and implementation of Mobile Health applications (mHealth) has been the subject of extensive research as can be evidenced by the large body of research literature on this topic. However, the fit and viability perspective issues have been less widely studied, perhaps because of the difficulty and complexity of healthcare services and delivery factors and their studies. In today’s global business environment this remains a key issue and critical success factor. Hence, this paper explains how challenging the mHealth application implementation success is for organizations government and patients. Furthermore, it is also very important to assess a fit and viability of mHealth application implementations in diverse environment. By drawing upon multiple streams of theory building, a framework, from the Fit-Viability Model (FVM) perspective, is developed. The framework provides important and valuable guiding principles for the decisions on adoption and deployment of mHealth applications. Grounded on the fit-viability framework, the paper advocates the use of a multi-case study approach to examine the success or failure of mHealth applications adoption and implementation. Managers and researchers can use the developed framework to identify the fit and viability of mHealth applications implementations to increase the possibility of success. 


Keywords


mHealth applications implementation; Fit-Viability Model; mHealth applications implementation

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References


Ben-Zeev D, Kaiser SM, Brenner CJ, Begale M, Duffecy J, Mohr DC. Development and Usability Testing of FOCUS: A Smartphone System for Self-Management of Schizophrenia. Psychiatr Rehabil J. 2013 Dec;36(4):289–96.

Morón MJ, Luque R, Casilari E. On the Capability of Smartphones to Perform as Communication Gateways in Medical Wireless Personal Area Networks. Sensors. 2014 Jan 2;14(1):575–94.

Nah FF-H, Siau K, Sheng H. The Value of Mobile Applications: A Utility Company Study. Commun ACM. 2005 Feb;48(2):85–90.

Wells JD, Sarker S, Urbaczewski A, Sarker S. Studying customer evaluations of electronic commerce applications: a review and adaptation of the task-technology fit perspective. In: 36th Annual Hawaii International Conference on System Sciences, 2003 Proceedings of the. 2003. p. 10 pp.-.

Korzep K. The future of technology and the effect it may have on replacing human jobs. Technol Health Care Off J Eur Soc Eng Med. 2010;18(4–5):353–8.

Slaper MR, Conkol K. mHealth tools for the pediatric patient-centered medical home. Pediatr Ann. 2014 Feb;43(2):e39-43.

Zangbar B, Pandit V, Rhee P, Aziz H, Hashmi A, Friese RS, et al. Smartphone Surgery: How Technology Can Transform Practice. Telemed E-Health. 2014 Apr 2;20(6):590–2.

Dwivedi YK, Shareef M, Simintiras A, Lal B, Weerakkody VJP. A generalised adoption model for services: A cross-country comparison of mobile health (m-health). 2016 Jan [cited 2018 Mar 25]; Available from: https://bradscholars.brad.ac.uk/handle/10454/11684

Agosti V., Graziano S., Artiaco L., Sorrentino G. Biological mechanisms of stroke prevention by physical activity in type 2 diabetes. Acta Neurol Scand. 2008 Aug 11;119(4):213–23.

Rana R, Hume M, Reilly J, Jurdak R, Soar J. Opportunistic and Context-aware Affect Sensing on Smartphones: The Concept, Challenges and Opportunities. ArXiv150202796 Cs [Internet]. 2015 Feb 10 [cited 2018 Mar 25]; Available from: http://arxiv.org/abs/1502.02796

Fox S. The Social Life of Health Information, 2011 [Internet]. Pew Research Center: Internet, Science & Tech. 2011 [cited 2018 Mar 25]. Available from: http://www.pewinternet.org/2011/05/12/the-social-life-of-health-information-2011/

Milward J, Day E, Wadsworth E, Strang J, Lynskey M. Mobile phone ownership, usage and readiness to use by patients in drug treatment. Drug Alcohol Depend. 2015 Jan 1;146:111–5.

Wu J-H, Wang S-C, Lin L-M. Mobile computing acceptance factors in the healthcare industry: A structural equation model. Int J Med Inf. 2007 Jan;76(1):66–77.

Blakemore S-J. Imaging brain development: the adolescent brain. NeuroImage. 2012 Jun;61(2):397–406.

Kay M. mHealth: New horizons for health through mobile technologies [Internet]. Cape Town: World Health Organization Global Observatory for eHealth; 2011 Jun p. 21. Available from: http://www.who.int/ehealth/mhealth_summit.pdf

Lewis TL, Wyatt JC. mHealth and mobile medical apps: a framework to assess risk and promote safer use. J Med Internet Res. 2014;16(9).

Aranda-Jan CB, Mohutsiwa-Dibe N, Loukanova S. Systematic review on what works, what does not work and why of implementation of mobile health (mHealth) projects in Africa. BMC Public Health. 2014;14(1):188.

Everdingen YM van, Waarts E. The Effect of National Culture on the Adoption of Innovations. Mark Lett. 2003 Oct 1;14(3):217–32.

Png IPL, Tan BCY, Wee K-L. Dimensions of national culture and corporate adoption of IT infrastructure. IEEE Trans Eng Manag. 2001 Feb;48(1):36–45.

Liang T-P, Huang C-W, Yeh Y-H, Lin B. Adoption of mobile technology in business: a fit‐viability model. Ind Manag Data Syst. 2007 Oct 2;107(8):1154–69.

Soh C, Kien SS, Tay-Yap J. Enterprise Resource Planning: Cultural Fits and Misfits: Is ERP a Universal Solution? Commun ACM. 2000 Apr;43(4):47–51.

Shareef MA, Kumar V, Kumar U. Predicting mobile health adoption behaviour: A demand side perspective. J Cust Behav. 2014 Oct 31;13(3):187–205.

Brown W, Yen P-Y, Rojas M, Schnall R. Assessment of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating mobile health (mHealth) technology. J Biomed Inform. 2013 Dec;46(6):1080–7.

West CP. A mixed methods sequential explanatory study of the impact of chronic pain on family resilience [Internet] [phd]. James Cook University; 2012 [cited 2018 Mar 25]. Available from: https://researchonline.jcu.edu.au/24720/

Wu Z-Y, Lee Y-C, Lai F, Lee H-C, Chung Y. A Secure Authentication Scheme for Telecare Medicine Information Systems. J Med Syst. 2012 Jun 1;36(3):1529–35.

Bradford NK, Armfield NR, Young J, Herbert A, Mott C, Smith AC. Principles of a paediatric palliative care consultation can be achieved with home telemedicine. J Telemed Telecare. 2014 Oct 1;20(7):360–4.

Heidarian A, Mason D. Health information technology adoption in New Zealand optometric practices. Clin Exp Optom. 2013 Nov;96(6):557–65.

Baig AA, Mangione CM, Sorrell-Thompson AL, Miranda JM. A randomized community-based intervention trial comparing faith community nurse referrals to telephone-assisted physician appointments for health fair participants with elevated blood pressure. J Gen Intern Med. 2010 Jul;25(7):701–9.

Brewster L, Mountain G, Wessels B, Kelly C, Hawley M. Factors affecting front line staff acceptance of telehealth technologies: a mixed-method systematic review. J Adv Nurs. 2014 Jan;70(1):21–33.

Furukawa MF, Raghu TS, Spaulding TJ, Vinze A. Adoption of health information technology for medication safety in U.S. Hospitals, 2006. Health Aff Proj Hope. 2008 Jun;27(3):865–75.

Gagnon M-P, Desmartis M, Labrecque M, Car J, Pagliari C, Pluye P, et al. Systematic Review of Factors Influencing the Adoption of Information and Communication Technologies by Healthcare Professionals. J Med Syst. 2010 Mar 30;36(1):241–77.

Tiong IC, Hafeez-Baig A, Gururajan R, Soar J. Preliminary investigation to explore perceptions of security issues associated with wireless technology in healthcare in Australia. HIC 2006 Proc Bridg Digit Divide Clin Consum Comput. 2006;

Daim TU, Basoglu N, Topacan U. Adoption of health information technologies: the case of a wireless monitor for diabetes and obesity patients. Technol Anal Strateg Manag. 2013;25(8):923–938.

Castro D, Miller B, Nager A. Unlocking the potential of physician-to-patient telehealth services. Inf Technol Innov Found. 2014;

Deng Z, Mo X, Liu S. Comparison of the middle-aged and older users’ adoption of mobile health services in China. Int J Med Inf. 2014 Mar;83(3):210–24.

Saad NM, Alias RA, Ismail Z. Initial framework on identifying factors influencing individuals’ usage of telehealth. In: 2013 International Conference on Research and Innovation in Information Systems (ICRIIS). 2013. p. 174–9.

Sanders C, Rogers A, Bowen R, Bower P, Hirani S, Cartwright M, et al. Exploring barriers to participation and adoption of telehealth and telecare within the Whole System Demonstrator trial: a qualitative study. BMC Health Serv Res. 2012 Jul 26;12:220.

Ghodeswar BM, Vaidyanathan J. Organisational adoption of medical technology in healthcare sector. J Serv Res. 2007;7(2):57.

Alexy Betty B., Elnitsky Christine. Rural Mobile Health Unit: Outcomes. Public Health Nurs. 2007 May 5;15(1):3–11.

Harvey G, Kitson A. Achieving improvement through quality: an evaluation of key factors in the implementation process. J Adv Nurs. 1996;24(1):185–195.

Medhanyie AA, Little A, Yebyo H, Spigt M, Tadesse K, Blanco R, et al. Health workers’ experiences, barriers, preferences and motivating factors in using mHealth forms in Ethiopia. Hum Resour Health. 2015;13(1):2.

Tate EB, Spruijt-Metz D, O’Reilly G, Jordan-Marsh M, Gotsis M, Pentz MA, et al. mHealth approaches to child obesity prevention: successes, unique challenges, and next directions. Transl Behav Med. 2013;3(4):406–415.

Markus ML, Tanis C. The enterprise systems experience-from adoption to success. Fram Domains IT Res Glimpsing Future Past. 2000;173:207–173.

Applegate LM, McFarlan FW, McKenney JL. Corporate information systems management : the challenges of managing in an information age [Internet]. 5th ed. Boston ; London : Irwin/McGraw-Hill; 1999 [cited 2018 Mar 25]. Available from: https://trove.nla.gov.au/version/39642446

McFarland DJ, Cacace AT. Defining perception and cognition. Behav Brain Sci. 1999;22(03):385–385.

Harris R, Davison R. Anxiety and involvement: Cultural dimensions of attitudes toward computers in developing societies. In: Global perspective of information technology management. IGI Global; 2002. p. 234–259.

Bancroft J. Reply from Dr J. Bancroft. Diabet Med. 2004 Jul 19;13(10):916–916.

Burn J, Davison R, Jordan E. The Information Society — A Cultural Fallacy? Fail Lessons Learn Inf Technol Manag. 1997 Dec 1;1(4):219–41.

Hofstede G. Dimensionalizing cultures: The Hofstede model in context. Online Read Psychol Cult. 2011;2(1):8.

Chib A. The promise and peril of mHealth in developing countries. Mob Media Commun. 2013;1(1):69–75.

Manda TD, Sanner TA. Bootstrapping Information Technology Innovations Across Organisational and Geographical Boundaries: Lessons from an mHealth Implementation in Malawi. In: Selected Papers of the Information Systems Research Seminar in Scandinavia: Designing the Interactive Society. 2012.

Tomlinson M, Rotheram-Borus MJ, Swartz L, Tsai AC. Scaling up mHealth: where is the evidence? PLoS Med. 2013;10(2):e1001382.

Sun J, Guo Y, Wang X, Zeng Q. mHealth For Aging China: Opportunities and Challenges. Aging Dis. 2016 Jan 2;7(1):53–67.

Miguel CD, Guo C, Lund H, Feng D, Mattson DL. Infiltrating T lymphocytes in the kidney increase oxidative stress and participate in the development of hypertension and renal disease. Am J Physiol-Ren Physiol. 2010;300(3):F734–F742.

Esteves J, Pastor J. Towards the unification of critical success factors for ERP implementations. In: 10th Annual BIT Conference, Manchester, UK. 2000.

Parr A, Shanks G. A model of ERP project implementation. J Inf Technol. 2000 Dec 1;15(4):289–303.

Al-Mashari M, Al-Mudimigh A, Zairi M. Enterprise resource planning: A taxonomy of critical factors. Eur J Oper Res. 2003;146(2):352–364.

Umble EJ, Haft RR, Umble MM. Enterprise resource planning: Implementation procedures and critical success factors. Eur J Oper Res. 2003 Apr 16;146(2):241–57.

Holland CR, Light B. A critical success factors model for ERP implementation. IEEE Softw. 1999;16(3):30–36.

Tatsiopoulos IP, Panayiotou NA, Kirytopoulos K, Tsitsiriggos K. Risk management as a strategic issue for the implementation of ERP systems: a case study from the oil industry. Int J Risk Assess Manag. 2003;4(1):20–35.

Motwani J, Subramanian R, Gopalakrishna P. Critical factors for successful ERP implementation: Exploratory findings from four case studies. Comput Ind. 2005;56(6):529–544.

Pinto JK, Slevin DP. Critical factors in successful project implementation. IEEE Trans Eng Manag. 1987;(1):22–27.

Kumar V, Maheshwari B, Kumar U. An investigation of critical management issues in ERP implementation: emperical evidence from Canadian organizations. Technovation. 2003;23(10):793–807.

Molla A, Loukis I. Success and failure of ERP technology transfer: A framework for analysing congruence of host and system cultures. University of Manchester. Institute for development policy and management (IDPM); 2005.

Heeks R. Understanding e-governance for development. Institute for Development Policy and Management Manchester; 2001.

Walsham G. Making a world of difference: IT in a global context. John Wiley & Sons, Inc.; 2001.

Tjan AK. Finally, a way to put your Internet portfolio in order. Harv Bus Rev. 2001;79(2):76–85.

Goodhue DL, Thompson RL. Task-technology fit and individual performance. MIS Q. 1995;213–236.

Goodhue Dale L. Development and Measurement Validity of a Task‐Technology Fit Instrument for User Evaluations of Information System. Decis Sci. 2007 Jun 7;29(1):105–38.

Ammenwerth E, Iller C, Mahler C. IT-adoption and the interaction of task, technology and individuals: a fit framework and a case study. BMC Med Inform Decis Mak. 2006;6.

Poon EG, Jha AK, Christino M, Honour MM, Fernandopulle R, Middleton B, et al. Assessing the level of healthcare information technology adoption in the United States: a snapshot. BMC Med Inform Decis Mak. 2006;6.

Huang Z, Palvia P. ERP implementation issues in advanced and developing countries. Bus Process Manag J. 2001 Jan 8; 7(3):276–84.

Yin RK. Case Study Research : Design and Methods [Internet]. 5th Revised edition. Thousand Oaks, United States: SAGE Publications Inc; 2013 [cited 2016 Aug 22]. 312 p. Available from: http://www.bookdepository.com/Case-Study-Research-Robert-K.-Yin/9781452242569?redirected=true&utm_medium=Google&utm_campaign=Base1&utm_source=AU&utm_content=Case-Study-Research&selectCurrency=AUD&w=AF45AU961BV14DA8ZT47&pdg=kwd-105542175699:cmp-168747699:adg-9591243219:crv-39378132939:pid-9781452242569&gclid=CNqP06mf1M4CFQt-vQodBXMEdA

Trochim W, Donnelly JP, Arora K. Research Methods: The Essential Knowledge Base. 2017;

Boyatzis RE. Transforming qualitative information: thematic analysis and code development. Sage Publications; 1998. 208 p.

Kvale S. InterViews: An Introduction to Qualitative Research Interviewing. 1st ed. Sage Publications, Inc; 1996.




DOI: http://dx.doi.org/10.18686/esta.v5i3.65

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