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Health Promotion Technology and the Aging Population

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Connected Health in Smart Cities

Abstract

In an effort to improve the quality of care for any population, technology is integrated into the healthcare system. Different types of technologies can aid in health promotion through prevention, education, and monitoring techniques. Prevention methods are becoming more common with older adults to assist with their activities of daily living as well as to support them in learning and remembering healthy behaviors. The willingness to adopt a new technology is key to successfully modifying behavior and what hinder the outcome are issues of competency as well as access.

The purpose of this book chapter is to use empirical studies to review the types of health technology used with the older population, as well as the overall level of success on their behaviors. Once the research question was defined, an inclusion and exclusion criterion was used to select the peer-reviewed articles. Various studies that fulfilled the predefined criteria were used. Data was extracted from 39 articles for the evaluation of the different health technologies and their uses.

mHealth and phones are the most popular type used for health promotion, as it is present in 36% of the articles evaluated. Other successful and popular types of technology used were websites and modules (26%), as well as monitoring technology (23%). In all of the studies, the elderly population was able to successfully use the technology, indicating that the adoption of new technology is possible at any age. Technology can be used to affect the elderly population to integrate healthier habits into their lives. The variety of accessible technologies allows individuals to use it in conjunction for their desired outcomes.

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References

  1. L.A. Charles, B.M. Dobbs, R.M. Mckay, O. Babenko, J.A. Triscott, Training of specialized geriatric physicians to meet the needs of an aging population-a unique Care of the Elderly Physician Program in Canada. J. Am. Geriatr. Soc. 62(7), 1390–1392 (2014). https://doi.org/10.1111/jgs.12907

    Article  Google Scholar 

  2. B.A. Meisner, Aging in Canada. Can. J. Public Health 105(5), 399 (2014)

    Article  Google Scholar 

  3. S. Sarma, W. Simpson, A panel multinomial logit analysis of elderly living arrangements: Evidence from aging in Manitoba longitudinal data, Canada. Soc. Sci. Med. 65(12), 2539–2552 (2007). https://doi.org/10.1016/j.socscimed.2007.07.012

    Article  Google Scholar 

  4. D. Cohen, D.G. Manuel, P. Tugwell, C. Sanmartin, T. Ramsay, Direct healthcare costs of acute myocardial infarction in Canada’s elderly across the continuum of care. J. Econ. Ageing. 3, 44–49 (2014). https://doi.org/10.1016/j.jeoa.2014.05.002

    Article  Google Scholar 

  5. X. Li, D. Guh, D. Lacaille, J. Esdaile, A.H. Anis, The impact of cost sharing of prescription drug expenditures on health care utilization by the elderly: Own- and cross-price elasticities. Health Policy 82(3), 340–347 (2007). https://doi.org/10.1016/j.healthpol.2006.11.002

    Article  Google Scholar 

  6. V. Preston, A. Kim, S. Hudyma, N. Mandell, M. Luxton, J. Hemphill, Gender, race, and immigration: Aging and economic security in Canada. Can. Rev. Soc. Policy 68, 90 (2013)

    Google Scholar 

  7. L.C. Williams, B.T. Day, Medical cost Savings for web-Based Wellness Program Participants from employers engaged in health promotion activities. Am. J. Health Promot. 25(4), 272–280 (2011). https://doi.org/10.4278/ajhp.100415-quan-119

    Article  Google Scholar 

  8. M.-L. Bird, B. Clark, J. Millar, S. Whetton, S. Smith, Exposure to “Exergames” increases older adults’ perception of the usefulness of Technology for Improving Health and Physical Activity: A pilot study. JMIR Serious Games. 3(2), e8 (2015). https://doi.org/10.2196/games.4275

    Article  Google Scholar 

  9. Y. Lu, Y. Chang, Investigation of the internet adoption on senior farmers. Eng. Comput. 33(6), 1853–1864 (2016). https://doi.org/10.1108/ec-08-2015-0259

    Article  Google Scholar 

  10. R. Oosterom-Calo, T.A. Abma, M.A. Visse, W. Stut, S.J. Velde, J. Brug, An interactive-technology health behavior promotion program for heart failure patients: A pilot study of experiences and needs of patients and nurses in the hospital setting. JMIR Res. Protoc. 3(2), e32 (2014)

    Article  Google Scholar 

  11. P.R. Cangelosi, J.M. Sorrell, Use of technology to enhance mental health for older adults. J. Psychosoc. Nurs. Ment. Health Serv. 52(9), 17–20 (2014). https://doi.org/10.3928/02793695-20140721-01

    Article  Google Scholar 

  12. M. Albu, L. Atack, I. Srivastava, Simulation and gaming to promote health education: Results of a usability test. Health Educ. J. 74(2), 244–254 (2014). https://doi.org/10.1177/0017896914532623

    Article  Google Scholar 

  13. PRISMA, in Transparent Reporting of Systematic Reviews and Meta-analyses, 2009 (cited 17 October 2015). http://www.prisma-statement.org/

  14. J. Lee, A.L. Nguyen, J. Berg, A. Amin, M. Bachman, Y. Guo, L. Evangelista, Attitudes and preferences on the use of Mobile health technology and health games for self-management: Interviews with older adults on anticoagulation therapy. JMIR Mhealth Uhealth 2(3), e32 (2014). https://doi.org/10.2196/mhealth.3196

    Article  Google Scholar 

  15. R. Young, E. Willis, G. Cameron, M. Geana, “Willing but unwilling”: Attitudinal barriers to adoption of home-based health information technology among older adults. Health Informatics J. 20(2), 127–135 (2013). https://doi.org/10.1177/1460458213486906

    Article  Google Scholar 

  16. K. Goodall, P. Ward, L. Newman, Use of information and communication technology to provide health information: What do older migrants know, and what do they need to know? Qual. Prim. Care 18, 27–32 (2010)

    Google Scholar 

  17. R.F. Cook, R.K. Hersch, D. Schlossberg, S.L. Leaf, A web-based health promotion program for older workers: Randomized controlled trial. J. Med. Internet Res. 17(3), e82 (2015). https://doi.org/10.2196/jmir.3399

    Article  Google Scholar 

  18. E. Knight, M.I. Stuckey, R.J. Petrella, Health promotion through primary care: Enhancing self-management with activity prescription and mHealth. Phys. Sportsmed. 42(3), 90–99 (2014). https://doi.org/10.3810/psm.2014.09.2080

    Article  Google Scholar 

  19. B. Shoshana, N. Schoenberg, B. Howell, What motivates older adults to improve diet and exercise patterns? The Gerontologist 55, 681–681 (2015). https://doi.org/10.1093/geront/gnv350.06

    Article  Google Scholar 

  20. T.W. Bickmore, R.A. Silliman, K. Nelson, D.M. Cheng, M. Winter, L. Henault, M.K. Paasche-Orlow, A randomized controlled trial of an automated exercise coach for older adults. J. Am. Geriatr. Soc. 61(10), 1676–1683 (2013). https://doi.org/10.1111/jgs.12449

    Article  Google Scholar 

  21. A.M. Müller, S. Khoo, T. Morris, Text messaging for exercise promotion in older adults from an upper-middle-income country: Randomized controlled trial. J. Med. Internet Res. 18(1), e5 (2016). https://doi.org/10.2196/jmir.5235

    Article  Google Scholar 

  22. L.V. Velsen, M. Illario, S. Jansen-Kosterink, C. Crola, C.D. Somma, A. Colao, M. Vollenbroek-Hutten, A community-based, technology-supported health Service for Detecting and Preventing Frailty among older adults: A participatory design development process. J Aging Res. 2015, 1–9 (2015). https://doi.org/10.1155/2015/216084

    Article  Google Scholar 

  23. S. Muellmann, I. Bragina, C. Voelcker-Rehage, E. Rost, S. Lippke, J. Meyer, J. Schnauber, M. Wasmann, M. Toborg, F. Koppelin, T. Brand, H. Zeeb, C.R. Pischke, Development and evaluation of two web-based interventions for the promotion of physical activity in older adults: Study protocol for a community-based controlled intervention trial. BMC Public Health 17(1), 512 (2017). https://doi.org/10.1186/s12889-017-4446-x

    Article  Google Scholar 

  24. A.L. Vuorinen, J. Leppänen, H. Kaijanranta, M. Kulju, T. Heliö, M. van Gils, J. Lähteenmäki, Use of home Telemonitoring to support multidisciplinary Care of Heart Failure Patients in Finland: Randomized controlled trial. J. Med. Internet Res. 16(2), e282 (2014)

    Article  Google Scholar 

  25. F. Lattanzio, A.M. Abbatecola, R. Bevilacqua, C. Chiatti, A. Corsonello, L. Rossi, S. Bustacchini, R. Bernabei, Advanced technology care innovation for older people in Italy: Necessity and opportunity to promote health and wellbeing. J. Am. Med. Dir. Assoc. 15(7), 457–466 (2014). https://doi.org/10.1016/j.jamda.2014.04.003

    Article  Google Scholar 

  26. A. Barakat, R.D. Woolrych, A. Sixsmith, W.D. Kearns, H.S. Kort, EHealth technology competencies for health professionals working in home care to support older adults to age in place: Outcomes of a two-day collaborative workshop. Med. 2.0 2(2), e10 (2013). https://doi.org/10.2196/med20.2711

    Article  Google Scholar 

  27. K. Pangbourne, P. Aditjandra, J. Nelson, New technology and quality of life for older people: Exploring health and transport dimensions in the UK context. IET Intell. Transp. Syst. 4(4), 318 (2010). https://doi.org/10.1049/iet-its.2009.0106

    Article  Google Scholar 

  28. A. King, B. Hekler, L. Grieco, S. Winter, J. Sheats, M. Buman, B. Banerjee, T. Robinson, J. Cirimele, Effects of three motivationally targeted Mobile device applications on initial physical activity and sedentary behavior change in midlife and older adults: A randomized trial. PLoS One 11(7), e0156370 (2016). https://doi.org/10.1371/journal.pone.0160113

    Article  Google Scholar 

  29. A. Voukelatos, D. Merom, C. Rissel, C. Sherrington, W. Watson, K. Waller, The effect of walking on falls in older people: The easy steps to health randomized controlled trial study protocol. BMC Public Health 11(1), 888 (2011). https://doi.org/10.1186/1471-2458-11-888

    Article  Google Scholar 

  30. K. Sahlen, H. Johansson, L. Nyström, L. Lindholm, Health coaching to promote healthier lifestyle among older people at moderate risk for cardiovascular diseases, diabetes and depression: A study protocol for a randomized controlled trial in Sweden. BMC Public Health 13(1), 199 (2013). https://doi.org/10.1186/1471-2458-13-199

    Article  Google Scholar 

  31. S. Nikou, Mobile technology and forgotten consumers: The young-elderly. Int. J. Consum. Stud. 39(4), 294–304 (2015). https://doi.org/10.1111/ijcs.12187

    Article  Google Scholar 

  32. M. Bowen, Beyond repair: Literacy, technology, and a curriculum of aging. Coll. Eng. 75(5), 437–457 (2012)

    Google Scholar 

  33. D. Kutz, K. Shankar, K. Connelly, Making sense of mobile- and web-based wellness information technology: Cross-generational study. J. Med. Internet Res. 15(5), e83 (2013). https://doi.org/10.2196/jmir.2124

    Article  Google Scholar 

  34. E.B. Hekler, M.P. Buman, J. Otten, C.M. Castro, L. Grieco, B. Marcus, R.H. Friedman, M.A. Napolitano, A.C. King, Determining who responds better to a computer- vs. human-delivered physical activity intervention: Results from the community health advice by telephone (CHAT) trial. Int. J. Behav. Nutr. Phys. Act. 10(1), 109 (2013). https://doi.org/10.1186/1479-5868-10-109

    Article  Google Scholar 

  35. R. Oosterom-Calo, t.S.J. Velde, W. Stut, J. Brug, Development of Motivate4Change using the intervention mapping protocol: An interactive technology physical activity and medication adherence promotion program for hospitalized heart failure patients. JMIR Res. Protoc. 4(3), e88 (2015)

    Article  Google Scholar 

  36. D.E. Wall, C. Least, J. Gromis, B. Lohse, Nutrition education intervention improves vegetable-related attitude, self-efficacy, preference, and knowledge of fourth-grade students. J. Sch. Health 82(1), 37–43 (2011)

    Article  Google Scholar 

  37. S.J. Robroek, D.E. Lindeboom, A. Burdorf, Initial and sustained participation in an internet-delivered long-term worksite health promotion program on physical activity and nutrition. J. Med. Internet Res. 14(2), e43 (2012). https://doi.org/10.2196/jmir.1788

    Article  Google Scholar 

  38. B.C. Bock, K.E. Heron, E.G. Jennings, J.C. Magee, K.M. Morrow, User preferences for a text message–based smoking cessation intervention. Health Educ. Behav. 40(2), 152–159 (2012). https://doi.org/10.1177/1090198112463020

    Article  Google Scholar 

  39. M.J. Rantz, M. Skubic, M. Popescu, C. Galambos, R.J. Koopman, G.L. Alexander, L.J. Phillips, K. Musterman, J. Back, S.J. Miller, A new paradigm of technology-enabled ‘vital signs’ for early detection of health change for older adults. Gerontology 61, 281–290 (2015)

    Article  Google Scholar 

  40. T. Tsai, A.M. Wong, C. Hsu, K.C. Tseng, Research on a community-based platform for promoting health and physical fitness in the elderly community. PLoS One 8(2), e57452 (2013). https://doi.org/10.1371/journal.pone.0057452

    Article  Google Scholar 

  41. L. Powell, J. Parker, M.M. St-James, S. Mawson, The effectiveness of lower-limb wearable Technology for Improving Activity and Participation in adult stroke survivors: A systematic review. J. Med. Internet Res. 18(10), e259 (2016). https://doi.org/10.2196/jmir.5891

    Article  Google Scholar 

  42. S. Yusif, J. Soar, A. Hafeez-Baig, Older people, assistive technologies, and the barriers to adoption: A systematic review. Int. J. Med. Inform. 94, 112–116 (2016). https://doi.org/10.1016/j.ijmedinf.2016.07.004

    Article  Google Scholar 

  43. H. Eyles, R. Mclean, B. Neal, R.N. Doughty, Y. Jiang, C.N. Mhurchu, Using mobile technology to support lower-salt food choices for people with cardiovascular disease: Protocol for the SaltSwitch randomized controlled trial. BMC Public Health 14(1), 950 (2014). https://doi.org/10.1186/1471-2458-14-950

    Article  Google Scholar 

  44. J.M. Bernhardt, J.D. Chaney, B.H. Chaney, A.K. Hall, New Media for Health Education. Health Educ. Behav. 40(2), 129–132 (2013). https://doi.org/10.1177/1090198113483140

    Article  Google Scholar 

  45. N.E. Stanczyk, C. Bolman, J.W. Muris, H. de Vries, Study protocol of a dutch smoking cessation e-health program. BMC Public Health 11, 847–847 (2011). https://doi.org/10.1186/1471-2458-11-847

    Article  Google Scholar 

  46. A. Zubala, S. MacGillivray, H. Frost, T. Kroll, D. Skelton, A. Gavine, N.M. Gray, M. Toma, J. Morris, Promotion of physical activity interventions for community dwelling older adults: A systematic review of reviews. PLoS One 12(7), e0180902 (2017)

    Article  Google Scholar 

  47. R.E. Ostrander, H.J. Thompson, G. Demiris, Using targeted messaging to increase physical activity in older adults: A review. J. Gerontol. Nurs. 40(9), 36–48 (2014). https://doi.org/10.3928/00989134-20140324-03

    Article  Google Scholar 

  48. Liu, J., Modrek, S., Anyanti, J., Nwokolo, E., Cruz, A. D., Schatzkin, E, Isiguzo C, Ujuju C, . Montagu, D. (2014). How do risk preferences relate to malaria care-seeking behavior and the acceptability of a new health technology in Nigeria? BMC Health Serv. Res., 14(1). 374. doi:https://doi.org/10.1186/1472-6963-14-374

    Article  Google Scholar 

  49. A.C. King, J.M. Guralnik, Maximizing the potential of an aging population. JAMA 304(17), 1944 (2010). https://doi.org/10.1001/jama.2010.1577

    Article  Google Scholar 

  50. R. Campbell, D. Nolfi, D. Bowen, Teaching elderly adults to use the internet to access health care information: Before-after study. J. Med. Internet Res. 7, 2 (2015)

    Google Scholar 

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Authors and Affiliations

  1. Faculty of Health Sciences, Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, ON, Canada

    Ophelia John & Pascal Fallavollita

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  1. Ophelia John
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  2. Pascal Fallavollita
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Correspondence to Pascal Fallavollita .

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Editors and Affiliations

  1. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Abdulmotaleb El Saddik

  2. Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

    M. Shamim Hossain

  3. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Burak Kantarci

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John, O., Fallavollita, P. (2020). Health Promotion Technology and the Aging Population. In: El Saddik, A., Hossain, M., Kantarci, B. (eds) Connected Health in Smart Cities. Springer, Cham. https://doi.org/10.1007/978-3-030-27844-1_9

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  • DOI: https://doi.org/10.1007/978-3-030-27844-1_9

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