IT-based wellness tools for older adults: Design concepts and feedback

References

• World Health Organization, National Institutes of Health. Global health and aging. Bethesda, MD: National Institutes of Health; 2011.
   Google Scholar
• Hung WW, Ross JS, Boockvar KS, Siu AL. Recent trends in chronic disease, impairment and disability among older adults in the United States. BMC Geriatrics 2011;11:47. doi:10.1186/1471-2318-11-47.
   PubMed Web of Science ®Google Scholar
• Verbrugge LM, Jette AM. The disablement process. Social Science & Medicine 1994;38:1–14.
   PubMed Web of Science ®Google Scholar
• World Health Organization. The global burden of disease: 2004 update. Geneva: World Health Organization; 2008.
   Google Scholar
• Christensen K, Doblhammer G, Rau R, Vaupel JW. Ageing populations: the challenges ahead. Lancet 2009;374:1196–208. doi:10.1016/S0140-6736(09)61460-4.
   PubMed Web of Science ®Google Scholar
• Dunn HL. High-level wellness for man and society. American Journal of Public Health and the Nations Health 1959;49:786–92.
   Web of Science ®Google Scholar
• Hoyman HS. Rethinking an ecologic-system model of man’s health, disease, aging, death. Journal of School Health 1975;45:509–18.
   PubMed Web of Science ®Google Scholar
• Farquhar M. Elderly people’s definitions of quality of life. Social Science & Medicine 1995;41:1439–46. doi:10.1016/0277-9536(95)00117-P.
   PubMed Web of Science ®Google Scholar
• Dickinson WJ, Potter GG, Hybels CF, McQuoid DR, Steffens DC. Change in stress and social support as predictors of cognitive decline in older adults with and without depression. International Journal of Geriatric Psychiatry 2011;26:1267–74. doi:10.1002/gps.2676.
   PubMed Web of Science ®Google Scholar
• Luanaigh CO, Lawlor BA. Loneliness and the health of older people. International Journal of Geriatric Psychiatry 2008;23:1213–21. doi:10.1002/gps.2054.
   PubMed Web of Science ®Google Scholar
• Helve J, Krause U. Loneliness, health and depression in older males. Acta Ophthalmologica 2009;50:896–900. doi:10.1080/1360786031000101193.
   Web of Science ®Google Scholar
• Pew Research Center. Mobile technology fact sheet. Washington, DC: Pew Research Center; 2014.
   Google Scholar
• Lai CKY, Chung JCC, Leung NKL, Wong JCT, Mak DPS. A survey of older Hong Kong people’s perceptions of telecommunication technologies and telecare devices. Journal of Telemedicine and Telecare 2010;16:441–6. doi:10.1258/jtt.2010.090905.
   PubMed Web of Science ®Google Scholar
• Eurobarometer. E-communications household survey. Brussels, Belgium: European Commission; 2010.
   Google Scholar
• Rainie L. Cell phone ownership hits 91% of adults. Washington, DC: Pew Research Center; 2013.
   Google Scholar
• Rollo ME, Ash S, Lyons-Wall P, Russell A. Trial of a mobile phone method for recording dietary intake in adults with type 2 diabetes: evaluation and implications for future applications. Journal of Telemedicine and Telecare 2011;17:318–23. doi:10.1258/jtt.2011.100906.
   PubMed Web of Science ®Google Scholar
• Lim S, Kang SM, Shin H, Lee HJ, Won Yoon J, Yu SH, et al. Improved glycemic control without hypoglycemia in elderly diabetic patients using the ubiquitous healthcare service, a new medical information system. Diabetes Care 2011;34:308–13. doi:10.2337/dc10-1447.
   PubMed Web of Science ®Google Scholar
• Larsen ME, Rowntree J, Young AM, Pearson S, Smith J, Gibson OJ, et al. Chemotherapy side-effect management using mobile phones. Conference proceedings IEEE Engineering in Medicine and Biology Society 2008; 20085152–5. doi:10.1109/IEMBS.2008.4650374.
   Google Scholar
• Stellefson M, Chaney B, Barry AE, Chavarria E, Tennant B, Walsh-Childers K, et al. Web 2.0 chronic disease self-management for older adults: A systematic review. Journal of Medical Internet Research 2013;15. doi:10.2196/jmir.2439.
   Google Scholar
• Lee RYW, Carlisle AJ. Detection of falls using accelerometers and mobile phone technology. Age and Ageing 2011;40:690–6. doi:10.1093/ageing/afr050.
   PubMed Web of Science ®Google Scholar
• Panicker NV, Sukesh Kumar A. Design of a telemonitoring system for detecting falls of the elderly. 2015 International Conference on Green Computing and Internet of Things. Noida: IEEE; 2015, pp. 800–3. doi:10.1109/ICGCIoT.2015.7380572.
   Google Scholar
• Ball K, Berch DB, Helmers KF, Jobe JB, Leveck MD, Marsiske M, et al. Effects of cognitive training interventions with older adults: a randomized controlled trial. JAMA 2002;288:2271–81. doi:10.1001/jama.288.18.2271.
   PubMed Web of Science ®Google Scholar
• Mahncke HW, Connor BB, Appelman J, Ahsanuddin ON, Hardy JL, Wood R a, et al. Memory enhancement in healthy older adults using a brain plasticity-based training program: a randomized, controlled study. Proceedings of the National academy of Sciences of the United States of America 2006;103:12523–8. doi:10.1073/pnas.0605194103.
   PubMed Web of Science ®Google Scholar
• Rebok GW, Carlson MC, Langbaum JBS. Training and maintaining memory abilities in healthy older adults: traditional and novel approaches. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences Psychol Sci Soc Sci 2007;62 SpecNo:53–61.
   Google Scholar
• Corbett A, Owen A, Hampshire A, Grahn J, Stenton R, Dajani S, et al. The effect of an online cognitive training package in healthy older adults: an online randomized controlled trial. Journal of the American Medical Directors Association 2015;16:990–7. doi:10.1016/j.jamda.2015.06.014.
   PubMed Web of Science ®Google Scholar
• Chen K, Chana HS. A review of technology acceptance by older adults. Gerontechnology 2011;10. doi:10.4017/gt.2011.10.01.006.00.
   Google Scholar
• McCreadie C, Tinker A. The acceptability of assistive technology to older people. Ageing Society 2005;25:91–110. doi:10.1017/S0144686X0400248X.
   Web of Science ®Google Scholar
• Selwyn N. The information aged: a qualitative study of older adults’ use of information and communications technology. Journal of Aging Studies 2004;18:369–84. doi:10.1016/j.jaging.2004.06.008.
   Web of Science ®Google Scholar
• Hawthorn D. Possible implications of aging for interface designers. Interacting with Computers 2000;12:507–28. doi:10.1016/S0953-5438(99)00021-1.
   Web of Science ®Google Scholar
• Sloan D. Two cultures? The disconnect between the web standards movement and research-based web design guidelines for older people. Gerontechnology 2006;5:106–12. doi:10.4017/gt.2006.05.02.007.00.
   Google Scholar
• Helve J, Krause U. The influence of age on performance in the panel D-15 colour vision test. Acta Ophthalmology 2009;50:896–900.
   Google Scholar
• Owsley C, Sekuler R, Siemsen D. Contrast sensitivity throughout adulthood. Vision Research 1983;23:689–99.
   PubMed Web of Science ®Google Scholar
• Bell B, Wolf E, Bernholz CD. Depth perception as a function of age. Aging and Human Development 1972;3:77–81. doi:10.2190/0RQM-RRNK-A8GN-X99J.
   Google Scholar
• Cerella J. Age-related decline in extrafoveal letter perception. Journal of Gerontology 1985;40:727–36.
   PubMedGoogle Scholar
• Dobbs AR, Rule BG. Adult age differences in working memory. Psychology and Aging 1989;4:500–3. doi:10.1037//0882-7974.4.4.500.
   PubMed Web of Science ®Google Scholar
• Akatsu H, Miki H. Usability research for the elderly people. Oki Technical Review (Special Issue on Human Friendly Technologies) 2004;71:54–7.
   Google Scholar
• Joe J, Chaudhuri S, Chung J, Thompson H, Demiris G. Older adults’ attitudes and preferences regarding a multifunctional wellness tool: a pilot study. Informatics for Health and Social Care 2014:1–16. doi:10.3109/17538157.2014.965305.
   Google Scholar
• Joe J, Chaudhuri S, Le T, Thompson H, Demiris G. The use of think-aloud and instant data analysis in evaluation research: Exemplar and lessons learned. Journal of Biomedical Informatics 2015;56:284–91. doi:10.1016/j.jbi.2015.06.001.
   PubMed Web of Science ®Google Scholar
• Gray D, Brown S, Macanufo J.Gamestorming: a playbook for innovators, rulebreakers, and changemakers. Sebastopol, CA: O’Reilly Media; 2010.
   Google Scholar
• Hasso-Plattner Institute of Design. Bootcamp Bootleg. 2010.
   Google Scholar
• Martin B, Hanington B. Universal methods of design. 2nd ed. Beverly: Rockport Publishers; 2012.
   Google Scholar
• Scupin R. The KJ method: a technique for analyzing data derived from japanese ethnology. Human organization, 1997;5:233–7. doi:10.17730/humo.56.2.x335923511444655.
   Google Scholar
• Mayhew DJ. Requirements specifications within the usability engineering lifecycle. In: Sears A, Jacko JA, eds. Human-computer interaction: Development process. Boca Raton, FL: CRC Press; 2009: 46–7.
   Google Scholar
• Pyzdek T. The six sigma handbook. New York: McGraw-Hill; 2003. doi:10.1036/0071415963.
   Google Scholar
• Hong J-C, Cheng C-L, Hwang M-Y, Lee C-K, Chang H-Y. Assessing the educational values of digital games. Journal of Computer Assisted Learning 2009;25:423–37. doi:10.1111/j.1365-2729.2009.00319.x.
   Web of Science ®Google Scholar
• Koch SH, Weir C, Haar M, Staggers N, Agutter J, Gorges M, et al. Intensive care unit nurses’ information needs and recommendations for integrated displays to improve nurses’ situation awareness. Journal of the American Medical Informatics Association 2012;19:583–90. doi:10.1136/amiajnl-2011-000678.
   PubMed Web of Science ®Google Scholar
• Heffernan KJ, Chang S, Maclean ST, Callegari ET, Garland SM, Reavley NJ, et al. Guidelines and recommendations for developing interactive ehealth apps for complex messaging in health promotion. JMIR mHealth uHealth 2016;4:e14. doi:10.2196/mhealth.4423.
   PubMed Web of Science ®Google Scholar
• Weiss RS. Learning from strangers: the art and method of qualitative interview studies. New York, NY: Simon & Schuster; 1994.
   Google Scholar
• Glaser BG, Strauss AL. The discovery of grounded theory: strategies for qualitative research. New York: Transaction Publishers; 2009.
   Google Scholar
• Strauss A, Corbin JM. Basics of qualitative research: techniques and procedures for developing grounded theory Thousand Oaks, CA: Sage Publications; 1998.
   Google Scholar
• Tohidi M, Buxton W, Baecker R, Sellen A. User sketches: a quick, inexpensive, and effective way to elicit more reflective user feedback. NordiCHI '06 Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles; 2006, pp. 105–14. doi:10.1145/1182475.1182487.
   Google Scholar
• Thielke S, Harniss M, Thompson H, Patel S, Demiris G, Johnson K. Maslow’s hierarchy of human needs and the adoption of health-related technologies for older adults. Ageing International 2011;37:470–88. doi:10.1007/s12126-011-9121-4.
   Google Scholar
• Freedman V, Calkins M, Haitsma K Van. An exploratory study of barriers to implementing technology in U.S. residential long-term care settings. Gerontechnology 2005;4:86–100. doi:10.4017/gt.2005.04.02.004.00.
   Google Scholar
• Olphert C, Damodaran L, May A. Towards digital inclusion–engaging older people in the “digital world.” Proceedings of the 2005 International Conference Accessible Design in the Digital World Conference, 2005, p. 7.
   Google Scholar
• Mitzner TL, Boron JB, Fausset CB, Adams AE, Charness N, Czaja SJ, et al. Older adults talk technology: technology usage and attitudes. Computers in Human Behavior 2010;26:1710–21. doi:10.1016/j.chb.2010.06.020.
   PubMed Web of Science ®Google Scholar
• Rice M, Alm N. Designing new interfaces for digital interactive television usable by older adults. Computers in Entertainment 2008;6:1. doi:10.1145/1350843.1350849.
   Google Scholar
• Nahm E-S, Preece J, Resnick B, Mills ME. Usability of health Web sites for older adults: a preliminary study. CIN: Computers, Informatics, Nursing 2004;22:326-34. doi:10.1097/00024665-200411000-00007.
   Web of Science ®Google Scholar
• Kang HG, Mahoney DF, Hoenig H, Hirth V a., Bonato P, Hajjar I, et al. In situ monitoring of health in older adults: Technologies and issues. Journal of the American Geriatrics Society 2010;58:1579–86. doi:10.1111/j.1532-5415.2010.02959.x.
   Google Scholar