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Analysis and Design of an mHealth Intervention for Community-Based Health Education: An Empirical Evidence of Coronary Heart Disease Prevention Program Among Working Adults

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Designing the Digital Transformation (DESRIST 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10243))

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Abstract

The massive expansion of mobile technologies is leading to a digital revolution that is reshaping health education for improved population-level health outcomes. This study investigated the analysis and design of a mobile health (mHealth) intervention for community-wide education. Hence, we employed a design science approach capable of translating health and community activities into practical design guidelines for suitable interventions to improve knowledge and skills among working adults. An mHealth artifact was developed for a Coronary Heart Disease (CHD) prevention program on awareness, knowledge, stress and lifestyle management. The effectiveness of the artifact was demonstrated through a pilot randomized, controlled trial (RCT) with 80 participants as an imperative empirical evidence. The study, therefore, contributed to the cumulative theoretical development of HCI, mobile health, and public health education. Moreover, our findings provided a number of insights for academic bodies, health practitioners, and developers of mobile health in planning educational interventions for smartphone users.

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References

  1. Research2guidance: Global mobile health trends and figures market report 2013–2017. http://www.research2guidance.com/shop/index.php/mobile-health-trends-and-figures-2013-2017

  2. Carroll, A.E., Marrero, D.G., Downs, S.M.: The HealthPia GlucoPack diabetes phone: a usability study. Diabet. Technol. Ther. 9, 158–164 (2007)

    Article  Google Scholar 

  3. Beratarrechea, A., Lee, A.G., Willner, J.M., Jahangir, E., Ciapponi, A., Rubinstein, A.: The impact of mobile health interventions on chronic disease outcomes in developing countries: a systematic review. Telemed. e-Health 20, 75–82 (2014)

    Article  Google Scholar 

  4. West, D., Branstetter, D.G., Nelson, S.D., Manivel, J.C., Blay, J.-Y., Chawla, S., Thomas, D.M., Jun, S., Jacobs, I.: How mobile devices are transforming healthcare 18, 1–38 (2012). Brookings.Edu

  5. Ybarra, M.L., Holtrop, J.S., Bosi, A.T.B., Emri, S.: Design considerations in developing a text messaging program aimed at smoking cessation. J. Med. Internet Res. 14, e103 (2012)

    Article  Google Scholar 

  6. Maddison, R., Pfaeffli, L., Whittaker, R., Stewart, R., Kerr, A., Jiang, Y., Kira, G., Leung, W., Dalleck, L., Carter, K., Rawstorn, J.: A mobile phone intervention increases physical activity in people with cardiovascular disease: results from the HEART randomized controlled trial. Eur. J. Prev. Cardiol. 22, 701–709 (2015)

    Article  Google Scholar 

  7. Steinberg, D.M., Levine, E.L., Askew, S., Foley, P., Bennett, G.G.: Daily text messaging for weight control among racial and ethnic minority women: randomized controlled pilot study. J. Med. Internet Res. 15, e244 (2013)

    Article  Google Scholar 

  8. Carlaw, R.W., Mittlemark, M.B., Bracht, N., Luepker, R.: Organization for a community cardiovascular health program: experiences from the Minnesota Heart Health Program. Health Educ. Q. 11, 243–252 (1984)

    Article  Google Scholar 

  9. Fortmann, S.P., Winkleby, M.A., Flora, J.A., Haskell, W.L., Taylor, C.B.: Effect of long-term community health education on blood pressure and hypertension control: the Stanford five-city project. Am. J. Epidemiol. 132, 629–646 (1990)

    Article  Google Scholar 

  10. Merzel, C., D’Afflitti, J.: Reconsidering community-based health promotion: promise, performance, and potential. Am. J. Public Health 93, 557–574 (2003)

    Article  Google Scholar 

  11. Kumar, S., Nilsen, W., Pavel, M., Srivastava, M.: Mobile health: revolutionizing healthcare through transdisciplinary research. Comput. (Long Beach Calif.) 46, 28–35 (2013)

    Google Scholar 

  12. Fiordelli, M., Diviani, N., Schulz, P.J.: Mapping mHealth research: a decade of evolution. J. Med. Internet Res. 15, e95 (2013)

    Article  Google Scholar 

  13. World Bank: Information and Communications for Development 2012: Maximizing Mobile. World Bank Publications, Washington (2012)

    Book  Google Scholar 

  14. Hervás, R., Fontecha, J., Ausín, D., Castanedo, F., Bravo, J., López-de-Ipiña, D.: Mobile monitoring and reasoning methods to prevent cardiovascular diseases. Sens. (Basel) 13, 6524–6541 (2013)

    Article  Google Scholar 

  15. Walton, R., DeRenzi, B.: Value-sensitive design and health care in Africa. IEEE Trans. Prof. Commun. 52, 346–358 (2009)

    Article  Google Scholar 

  16. Van Woensel, W., Roy, P.C., Abidi, S.S.: A mobile and intelligent patient diary for chronic disease self-management. In: MEDINFO 2015 eHealth-enabled Heal, pp. 118–122 (2015)

    Google Scholar 

  17. Prociow, P.A., Crowe, J.A.: Towards personalised ambient monitoring of mental health via mobile technologies. Technol. Health Care 18, 275–284 (2010)

    Google Scholar 

  18. Magill, E., Blum, J.M.: Personalised ambient monitoring: supporting mental health at home. In: Advances in Home Care Technologies: Results of the Match Project, pp. 67–85 (2012)

    Google Scholar 

  19. Paoli, R., Fernández-Luque, F.J., Doménech, G., Martínez, F., Zapata, J., Ruiz, R.: A system for ubiquitous fall monitoring at home via a wireless sensor network and a wearable mote. Expert Syst. Appl. 39, 5566–5575 (2012)

    Article  Google Scholar 

  20. Junglas, I., Abraham, C., Ives, B.: Mobile technology at the frontlines of patient care: understanding fit and human drives in utilization decisions and performance. Decis. Support Syst. 46, 634–647 (2009)

    Article  Google Scholar 

  21. Mobile Ecosystem Forum: Global mHealth and wearables report 2015 (2015)

    Google Scholar 

  22. Istepanian, R.S.H., Zitouni, K., Harry, D., Moutosammy, N., Sungoor, A., Tang, B., Earle, K.A.: Evaluation of a mobile phone telemonitoring system for glycaemic control in patients with diabetes. J. Telemed. Telecare 15, 125–128 (2009)

    Article  Google Scholar 

  23. Farquhar, J.W., Fortmann, S.P.: Community-based health promotion. In: Ahrens, W., Pigeot, I. (eds.) Handbook of Epidemiology, pp. 419–438. Springer, New York (2014)

    Chapter  Google Scholar 

  24. Pearson, T.A., Palaniappan, L.P., Artinian, N.T., Carnethon, M.R., Criqui, M.H., Daniels, S.R., Fonarow, G.C., Fortmann, S.P., Franklin, B.A., Galloway, J.M., Goff, D.C., Heath, G.W., Frank, A.T.H., Kris-Etherton, P.M., Labarthe, D.R., Murabito, J.M., Sacco, R.L., Sasson, C., Turner, M.B.: American heart association guide for improving cardiovascular health at the community level, 2013 update: a scientific statement for public health practitioners, healthcare providers, and health policy makers. Circulation 127, 1730–1753 (2013)

    Article  Google Scholar 

  25. Bruce, M.L., Smith, W., Miranda, J., Hoagwood, K., Wells, K.B.: Community-based interventions. Ment. Health Serv. Res. 4, 205–214 (2002)

    Article  Google Scholar 

  26. Winkleby, M.A., Feldman, H.A., Murray, D.M.: Joint analysis of three US community intervention trials for reduction of cardiovascular disease risk. J. Clin. Epidemiol. 50, 645–658 (1997)

    Article  Google Scholar 

  27. Hurtado, M., Spinner, J.R., Yang, M., Evensen, C., Windham, A., Ortiz, G., Tracy, R., Ivy, E.D.: Knowledge and behavioral effects in cardiovascular health: community health worker health disparities initiative, 2007–2010. Prev. Chronic Dis. 11, 130250 (2014)

    Article  Google Scholar 

  28. Carroll, J.M.: HCI Models, Theories, and Frameworks: Toward a Multidisciplinary Science. Morgan Kaufmann, San Francisco (2003)

    Google Scholar 

  29. Nguyen, H.D., Poo, D.C.C.: Analysis and design of mobile health interventions towards informed shared decision making: an activity theory-driven perspective. J. Decis. Syst. 25, 397–409 (2016)

    Article  Google Scholar 

  30. Mursu, A., Luukkonen, I.: Activity theory in information systems research and practice: theoretical underpinnings for an information systems development model. Inf. Res. 12, 1–21 (2006)

    Google Scholar 

  31. Taylor, J., Sharples, M., O’Malley, C., Vavoula, G., Waycott, J.: Towards a task model for mobile learning: a dialectical approach. Int. J. Learn. Technol. 2, 138 (2006)

    Article  Google Scholar 

  32. Kollmann, A., Riedl, M., Kastner, P., Schreier, G., Ludvik, B.: Feasibility of a mobile phone-based data service for functional insulin treatment of type 1 diabetes mellitus patients. J. Med. Internet Res. 9, e36 (2007)

    Article  Google Scholar 

  33. Quinn, C.C., Shardell, M.D., Terrin, M.L., Barr, E.A., Ballew, S.H., Gruber-Baldini, A.L.: Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control. Diabetes Care 34, 1934–1942 (2011)

    Article  Google Scholar 

  34. Gaziano, T.A., Bitton, A., Anand, S., Abrahams-Gessel, S., Murphy, A.: Growing epidemic of coronary heart disease in low-and middle-income countries. Curr. Probl. Cardiol. 35, 72–115 (2010)

    Article  Google Scholar 

  35. Mathers, C., Fat, D.M., Boerma, J.T.: The global burden of disease: 2004 update. World Health Organization, Geneva (2008)

    Book  Google Scholar 

  36. Brunner, L.S., Smeltzer, S.C., Bare, B.G., Hinkle, J.L., Cheever, K.H.: Brunner and Suddarth’s Textbook of Medical-Surgical Nursing. Lippincott Williams & Wilkins, London (2010)

    Google Scholar 

  37. National Academy on An Ageing Society: Heart Disease: A Disabling Yet Preventable Condition. National Academy on an Aging Society, Washington, DC (2000)

    Google Scholar 

  38. Awosan, K.J., Ibrahim, M.T.O., Sabir, A.A., Ejimodu, P.: Awareness and prevalence of risk factors of coronary heart disease among teachers and bankers in Sokoto. Nigeria. J. Med. Med. Sci. 4, 335–342 (2013)

    Google Scholar 

  39. Mathers, C.D., Loncar, D.: Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 3, 2011–2030 (2006)

    Article  Google Scholar 

  40. Wang, W., Zhang, H., Lopez, V., Wu, V.X., Poo, D.C.C., Kowitlawakul, Y.: Improving awareness, knowledge and heart-related lifestyle of coronary heart disease among working population through a mHealth programme: study protocol. J. Adv. Nurs. 71, 2200–2207 (2015)

    Article  Google Scholar 

  41. Billingham, S.A., Whitehead, A.L., Julious, S.A.: An audit of sample sizes for pilot and feasibility trials being undertaken in the United Kingdom registered in the United Kingdom Clinical Research Network database. BMC Med. Res. Methodol. 13, 104 (2013)

    Article  Google Scholar 

  42. Wagner, J., Lacey, K., Chyun, D., Abbott, G.: Development of a questionnaire to measure heart disease risk knowledge in people with diabetes: the Heart Disease Fact Questionnaire. Patient Educ. Couns. 58, 82–87 (2005)

    Article  Google Scholar 

  43. Chyun, D., Lacey, K.O., Katten, D.M., Talley, S., Price, W.J., Davey, J.A., Melkus, G.D.: Glucose and cardiac risk factor control in individuals with type 2 diabetes: implications for patients and providers. Diabetes Educ. 32, 925–939 (2006)

    Article  Google Scholar 

  44. Reis, R.S., Hino, A.A.F., Rodriguez Anez, C.R.: Perceived stress scale: reliability and validity study in Brazil. J. Health Psychol. 15, 107–114 (2010)

    Article  Google Scholar 

  45. Andreou, E., Alexopoulos, E.C., Lionis, C., Varvogli, L., Gnardellis, C., Chrousos, G.P., Darviri, C.: Perceived stress scale: reliability and validity study in Greece. Int. J. Environ. Res. Public Health 8, 3287–3298 (2011)

    Article  Google Scholar 

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Acknowledgement

This study is funded by a grant from Singapore Heart Foundation (grant number: RG2013/02).

Author information

Authors and Affiliations

  1. Department of Information Systems, School of Computing, National University of Singapore, Singapore, Singapore

    Hoang D. Nguyen & Danny Chiang Choon Poo

  2. Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

    Hui Zhang & Wenru Wang

Authors
  1. Hoang D. Nguyen
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  2. Danny Chiang Choon Poo
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  3. Hui Zhang
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  4. Wenru Wang
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Corresponding author

Correspondence to Hoang D. Nguyen .

Editor information

Editors and Affiliations

  1. Karlsruhe Institute of Technologie (KIT) , Karlsruhe, Germany

    Alexander Maedche

  2. University of Liechtenstein , Vaduz, Liechtenstein

    Jan vom Brocke

  3. University of South Florida , Tampa, Florida, USA

    Alan Hevner

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Nguyen, H.D., Poo, D.C.C., Zhang, H., Wang, W. (2017). Analysis and Design of an mHealth Intervention for Community-Based Health Education: An Empirical Evidence of Coronary Heart Disease Prevention Program Among Working Adults. In: Maedche, A., vom Brocke, J., Hevner, A. (eds) Designing the Digital Transformation. DESRIST 2017. Lecture Notes in Computer Science(), vol 10243. Springer, Cham. https://doi.org/10.1007/978-3-319-59144-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-59144-5_4

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  • Publisher Name: Springer, Cham

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