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Theories to Inform Superior Health Informatics Research and Practice pp 75–93Cite as

An Ontology for Capturing Pervasive Mobile Solution Benefits in Diabetes Care: Insights from a Longitudinal Multi-country Study

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Part of the book series: Healthcare Delivery in the Information Age ((Healthcare Delivery Inform. Age))

Abstract

Pervasive mobile solutions are being designed by many stakeholders to continuously manage chronic diseases. A central issue with these solutions is their (a) fidelity to the established standards of care and (b) usability and acceptability to providers of care, recipients of care, and other stakeholders in the care. We first present preliminary results of a multi-country longitudinal study of the efficacy of such solutions for diabetes care. The objective of the studies is to establish the proof of concept of fidelity and usability of a pervasive mobile solution to facilitate self-care by diabetes patients. The studies are being conducted in Australia, Canada, China, Germany, and the United States. In each country, the study was approved by the respective ethics committees. Subsequently, the solution was tailored to the local data site adopting a user-centered approach. Last, a randomized control trial with a two-period crossover clinical trial strategy was adopted. Results to date establish the benefits of a pervasive mobile solution and highlight the need for a universal systematic approach to envision the benefits of such solutions. An ontology for diabetes care informed by insights to date from the multiple trials addresses this need. The proffered ontology is the theoretical contribution of this paper.

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Notes

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References

  • AIHW. (2007). National indicators for monitoring diabetes: Report of the Diabetes Indicators Review Subcommittee of the National Diabetes Data Working Group, Diabetes series 2007. Canberra, ACT: The Australian Institute of Health and Welfare.

    Google Scholar 

  • AIHW. (2008). Australian facts 2008. Canberra: Australian Institute of Health and Welfare.

    Google Scholar 

  • AQUA. (2013). Bundesauswertung zum Erfassungsjahr. National evaluation report. http://www.sqg.de/sqg/upload/CONTENT/Qualitaetsberichte/2013/AQUA-Qualitaetsreport-2013.pdf.

  • Balas, E. A., et al. (2004). Computerized knowledge management in diabetes care. Medical Care, 42, 610–621.

    Article  PubMed  Google Scholar 

  • Bodenheimer, T., et al. (2002). Patient self-management of chronic disease in primary care. JAMA, 288(19), 2469–2475.

    Article  PubMed  Google Scholar 

  • Boyatzis, R. E. (1998). Transforming qualitative information: Thematic analysis and code development. Thousand Oaks, CA: Sage.

    Google Scholar 

  • Britt, H., et al. (2009). General practice activity in Australia 2008-09. Australian Institute of Health and Welfare, and University of Sydney.

    Google Scholar 

  • Catanzariti, L., Faulks, K., & Waters, A.-M. (2007). National diabetes register: A statistical profile 1999-2005. Australian Institute of Health and Welfare.

    Google Scholar 

  • Centers for Disease Control and Prevention. (2014). National diabetes statistics report: Estimates of diabetes and its burden in the United States, 2014. Atlanta, GA: US Department of Health and Human Services.

    Google Scholar 

  • Chau, S., & Turner, P. (2007). Utilisation of mobile handheld devices for care management at an Australian aged care facility. Electronic Commerce Research and Applications, 5(4), 305–312.

    Article  Google Scholar 

  • Chittleborough, C. R., et al. (2007). The increasing prevalence of diabetes in South Australia: The relationship with population ageing and obesity. Public Health, 121(2), 92–99.

    Article  CAS  PubMed  Google Scholar 

  • Churchman, C. W. (1967). Wicked problems. Management Science, 14(4), B-141–B-142.

    Article  Google Scholar 

  • Cimino, J. J. (2006). In defense of the Desiderata. Journal of Biomedical Informatics, 39(3), 299–306.

    Article  PubMed  Google Scholar 

  • Colagiuri, S., Colagiuri, R., & Ward, J. (1998). National diabetes strategy and implementation plan (pp. 1–281). Canberra, ACT: Diabetes Australia.

    Google Scholar 

  • Colagiuri, S., et al. (2002). DiabCost Australia-assessing the burden of type 2 diabetes in Australia. In Diabetologia. New York: Springer.

    Google Scholar 

  • Crowther, C. A., et al. (2005a). Effect of treatment of gestational diabetes mellitus on pregnancy outcomes. New England Journal of Medicine, 352(24), 2477–2486.

    Article  CAS  PubMed  Google Scholar 

  • Crowther, C., et al. (2005b). Australian carbohydrate intolerance study in pregnant women (ACHOIS) trial group effect of treatment of gestational diabetes mellitus on pregnancy outcomes. The New England Journal of Medicine, 352(24), 2477–2486.

    Article  CAS  PubMed  Google Scholar 

  • Degusta, M. (2012, October). Smart phones spreading faster than any other technology. Available from http://www.technologyreview.com/news/427787/are-smart-phones-spreading-faster-than-any/

  • DeSisto, C. L., Kim, S. Y., & Sharma, A. J. (2014). Prevalence estimates of gestational diabetes mellitus in the United States, pregnancy risk assessment monitoring system (PRAMS), 2007-2010. Preventing Chronic Disease, 11, E104.

    Article  PubMed  PubMed Central  Google Scholar 

  • Diabetes Australia. (2016). Diabetes in Australia. April 11, 2016. Available from https://www.diabetesaustralia.com.au/diabetes-in-australia

  • Downer, S. R., et al. (2006). SMS text messaging improves outpatient attendance. Australian Health Review, 30(3), 389–396.

    Article  PubMed  Google Scholar 

  • Geisler, E., & Wickramasinghe, N. (2005). The role and use of wireless technology in the management and monitoring of chronic diseases. DC. http://www.businessofgovernment.org/report/role-and-use-wireless-technology-management-and-monitoring-chronic-diseases.

  • Goldberg, S. (2002a). HTA quality assurance component summary. Internal INET documentation.

    Google Scholar 

  • Goldberg, S. (2002b). Building the evidence for a standardized mobile internet (wireless) environment in Ontario, Canada. January Update, Internal INET Documentation.

    Google Scholar 

  • Goldberg, S. (2002c). HTA presentation rendering component summary. Internal INET documentation.

    Google Scholar 

  • Goldberg, S. (2002d). HTA presentational selection and aggregation component summary. Internal documentation.

    Google Scholar 

  • Goldberg, S. (2002e). Wireless POC device component summary. Internal INET documentation.

    Google Scholar 

  • Gururajan, R., & Murugesan, S. (2005). Wireless solutions developed for the Australian healthcare: A review. In International Conference on Mobile Business, 2005. ICMB 2005. IEEE.

    Google Scholar 

  • Help4Diabetes. (2012 [cited 2012 September 2012]). Diabetes: Aa-worldwideepidemic. Available from http://www.hope4diabetes.info/general-information/diabetes-a-worldwide-epidemic.html

  • Hoffman, L., et al. (1998). Gestational diabetes mellitus-management guidelines—The Australasian Diabetes in Pregnancy Society. Medical Journal of Australia, 169(2), 93–97.

    PubMed  CAS  Google Scholar 

  • ICIC. (2008). Improving chronic illness care: The chronic care model. http://www.ic-ic.org/2008/SpecialSession.htm.

  • International Diabetes Federation. (2015). IDF diabetes (7th ed.). Brussels: International Diabetes Federation.

    Google Scholar 

  • Kim, C., Berger, D. K., & Chamany, S. (2007). Recurrence of gestational diabetes mellitus a systematic review. Diabetes Care, 30(5), 1314–1319.

    Article  PubMed  Google Scholar 

  • Kleinwechter, H., et al. (2011). Gestationsdiabetes mellitus (GDM). Evidenzbasierte Leitlinie zu Diagnostik, Therapie u. Nachsorge der Deutschen Diabetes-Gesellschaft (DDG) und der Deutschen Gesellschaft für Gynäkologie und Geburtshilfe (DGGG) (www.deutsche-diabetes-gesellschaft.de).

  • Knuiman, M. W., Welborn, T. A., & Bartholomew, H. C. (1996). Self-reported health and use of health services: a comparison of diabetic and nondiabetic persons from a national sample. Australian and New Zealand Journal of Public Health, 20(3), 241–247.

    Article  CAS  PubMed  Google Scholar 

  • Kvale, S., & Brinkmann, S. (2009). Interviews: Learning the craft of qualitative research interviewing. Los Angeles: Sage.

    Google Scholar 

  • Lacroix, A. (1998). International concerted action on collaboration in telemedicine: G8 sub-project 4. Studies in Health Technology and Informatics, 64, 12–19.

    Google Scholar 

  • Metzger, B. E., et al. (2008). Hyperglycemia and adverse pregnancy outcomes. The New England Journal of Medicine, 358(19), 1991–2002.

    Article  PubMed  Google Scholar 

  • Mirza, F., Norris, T., & Stockdale, R. (2008). Mobile technologies and the holistic management of chronic diseases. Health Informatics Journal, 14(4), 309–321.

    Article  PubMed  Google Scholar 

  • Mullins, C., Abdulhalim, A. M., & Lavallee, D. C. (2012). Continuous patient engagement in comparative effectiveness research. JAMA, 307(15), 1587–1588.

    Article  CAS  PubMed  Google Scholar 

  • Opie, A. (1998). “Nobody’s asked me for my view”: Users’ empowerment by multidisciplinary health teams. Qualitative Health Research, 8(2), 188–206.

    Article  Google Scholar 

  • Poulton, B. C. (1999). User involvement in identifying health needs and shaping and evaluating services: is it being realised? Journal of Advanced Nursing, 30(6), 1289–1296.

    Article  CAS  PubMed  Google Scholar 

  • Rachlis, M. (2006). Key to sustainable healthcare system. Retrieved June, 2006. Vol. 21. p. 2008.

    Google Scholar 

  • Radin, P. (2006). “To me, it’s my life”: Medical communication, trust, and activism in cyberspace. Social Science & Medicine, 62(3), 591–601.

    Article  Google Scholar 

  • Ramaprasad, A., & Syn, T. (2014). Design thinking and evaluation using an ontology. In M. Helfert, B. Donnellan, & J. Kenneally (Eds.), Design science: Perspectives from Europe (pp. 63–74). Cham: Springer International Publishing.

    Google Scholar 

  • Ramaprasad, A., & Syn, T. (2015). Ontological meta-analysis and synthesis. Communications of the Association for Information Systems, 37, 138–153.

    Google Scholar 

  • Rasmussen, B., Wellard, S., & Nankervis, A. (2001). Consumer issues in navigating health care services for type I diabetes. Journal of Clinical Nursing, 10(5), 628–634.

    Article  CAS  PubMed  Google Scholar 

  • Reach, G., et al. (2005). Adjusting insulin doses: From knowledge to decision. Patient Education and Counseling, 56(1), 98–103.

    Article  PubMed  Google Scholar 

  • Rudi, R., & Celler, B. G. (2006). Design and implementation of expert-telemedicine system for diabetes management at home. In International Conference on Biomedical and Pharmaceutical Engineering, 2006. ICBPE 2006. IEEE.

    Google Scholar 

  • Rumbold, A. R., & Crowther, C. A. (2001). Guideline use for gestational diabetes mellitus and current screening, diagnostic and management practices in Australian hospitals. Australian and New Zealand Journal of Obstetrics and Gynaecology, 41(1), 86–90.

    Article  CAS  PubMed  Google Scholar 

  • Russell, L. B., Suh, D.-C., & Safford, M. (2005). Time requirements for diabetes self-management: Too much for many. The Journal of Family Practice, 54(1), 52–56.

    PubMed  Google Scholar 

  • Templeton, M., & Pieris-Caldwell, I. (2008). Gestational diabetes mellitus in Australia, 2005-06. Canberra, ACT: Australian Institute of Health and Welfare.

    Google Scholar 

  • Van Eyk, H., & Baum, F. (2002). Learning about interagency collaboration: Trialling collaborative projects between hospitals and community health services. Health & Social Care in the Community, 10(4), 262–269.

    Article  Google Scholar 

  • Vredenburg, K., et al. (2002). A survey of user-centered design practice. In Proceedings of the SIGCHI Conference on Human factors in Computing Systems. ACM.

    Google Scholar 

  • Wellard, S. J., Rennie, S., & King, R. (2008). Perceptions of people with type 2 diabetes about self-management and the efficacy of community based services. Contemporary Nurse, 29(2), 218–226.

    Article  PubMed  Google Scholar 

  • Wickramasinghe, N., & Goldberg, S. (2003). The wireless panacea for healthcare. In Proceedings of 36th Hawaii International Conference on System Sciences, Hawaii.

    Google Scholar 

  • Wickramasinghe, N., & Goldberg, S. (2004). How M= EC2 in healthcare. International Journal of Mobile Communications, 2(2), 140–156.

    Article  Google Scholar 

  • Wickramasinghe, N., & Goldberg, S. (2007). Adaptive mapping to realisation methodology to facilitate mobile initiatives in healthcare. International Journal of Mobile Communications, 5(3), 300–318.

    Article  Google Scholar 

  • Wickramasinghe, N., et al. (2013). A transaction cost assessment of a pervasive technology solution for gestational diabetes. In Healthcare information technology innovation and sustainability: Frontiers and adoption: Frontiers and adoption (p. 109). Hershey, PA: IGI Global.

    Google Scholar 

  • Wild, S., et al. (2004). Global prevalence of diabetes estimates for the year 2000 and projections for 2030. Diabetes Care, 27(5), 1047–1053.

    Article  PubMed  Google Scholar 

  • Wolever, R. Q., et al. (2013). A systematic review of the literature on health and wellness coaching: Defining a key behavioral intervention in healthcare. Global Advances in Health and Medicine, 2(4), 38–57.

    Article  PubMed  PubMed Central  Google Scholar 

  • Zgibor, J. C., & Songer, T. J. (2001). External barriers to diabetes care: Addressing personal and health systems issues. Diabetes Spectrum, 14(1), 23.

    Article  Google Scholar 

  • Zhang, F., et al. (2011). Increasing prevalence of gestational diabetes mellitus in Chinese women from 1999 to 2008. Diabetic Medicine, 28(6), 652–657.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgments

Funding for this study was received from a Schoeller Senior Fellowship and Epworth Research Institute seed funding grant.

Author information

Authors and Affiliations

  1. UIC, Chicago, IL, USA

    Arkland Ramaprasad

  2. Inet International Inc., Thornhill, ON, Canada

    Steve Goldberg

  3. Deakin University, Burwood, Australia

    Nilmini Wickramasinghe

  4. Epworth HealthCare, Richmond, VIC, Australia

    Nilmini Wickramasinghe

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  1. Arkland Ramaprasad
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  2. Steve Goldberg
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  3. Nilmini Wickramasinghe
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Editors and Affiliations

  1. Epworth HealthCare, Richmond, Victoria, Australia

    Nilmini Wickramasinghe

  2. Deakin University, Burwood, Australia

    Jonathan L. Schaffer

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Ramaprasad, A., Goldberg, S., Wickramasinghe, N. (2018). An Ontology for Capturing Pervasive Mobile Solution Benefits in Diabetes Care: Insights from a Longitudinal Multi-country Study. In: Wickramasinghe, N., Schaffer, J. (eds) Theories to Inform Superior Health Informatics Research and Practice. Healthcare Delivery in the Information Age. Springer, Cham. https://doi.org/10.1007/978-3-319-72287-0_6

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