Technology-Enabled Senior Living: A Preliminary Report on Stakeholder Perspectives
Abstract
:1. Introduction
2. Materials and Methods
2.1. Recruitment
2.2. Qualitative Analysis
3. Results
3.1. Unmet Needs
“Initially, very few persons knew how to move into the digital world, but the emergency also brought a benefit, and so far, many of our older adults are using these tools better. Consider, for example, the Digital Identity service: many older people do not know what it is and have not yet achieved it. This impedes requesting bonuses or making the most of online public utility services. It is indeed an unmet need.” (IT01)
“The fundamental need of the older age group is not so much to have knowledge of the technological tool itself, but education in its use. Therefore, a robot made available to them would have to facilitate connection with the outside world, first, with their family doctor.” (IT03)
3.2. Functionalities of the Coach
“He would have to meet me empathically somehow like that. It should motivate me to deal positively with my ageing, to be in a good positive mood and to bring me sunshine in the gravy everyday life of old age.” (GE03)
“The aim of such functionalities should be to simplify the user. How do we hide the complexity for the user? How do we make his life easier? And if we’re talking about making it easier to age well, we have to make it easier to live with nutrition, physical activity, social links and organisation.” (FR02)
“We could imagine that the older person asks to do gymnastics, and the virtual coach suggests the closest gym with the address, telephone number and map to direct them. The coach should rely on the territory’s offer to give precise information.” (FR05)
3.3. Integration in Organization
3.4. Barriers
“What happens with the data must be transparent to the user. If the user is uncertain about the usage, he/she might choose not to use it.” (GE03)
“By now, even older users are more used to dealing with this issue; they are more aware that some data are necessarily shared, and if e-VITA is guaranteed by a regional or municipal public institution, they will trust it.” (IT01)
“In the experience of the NGO, older adults are not always keen on learning something new. Therefore, it would be helpful if the coach was not entirely new but had already well-known elements within this group. Another problem the NGO has faced in their daily work is the sensitivity of touchscreens. They are not always entirely adapted to the skin of older adults, and sometimes they can have problems interacting with the screen. The NGO proposed using voice interfaces instead to make a two-way interface (voice and touch).” (GE03)
“The system does not have an aspect that is too human, which could frighten the older person: a neutral form, pleasant for sure, but it must also be manageable; for example, I can imagine that it has a horizontal support surface on which to rely, it should be robust, thus giving a feeling of solidity in case of need.” (IT03)
3.5. Finances
3.6. Social Role of the Coach
“It should not have large dimensions because it would give more the feeling of being controlled or invaded by technology than of a tool that serves to help. A more symbolic, geometric form, perhaps leading back to an imaginary linked to health, would be appropriate as a kind of information point to address health: it can also have a face or a more human visage in the design, but without excess.” (IT01)
4. Discussion
4.1. Comparison with Older Adults’ Perspective
4.2. Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Anderson, L.M.; Adeney, K.L.; Shinn, C.; Safranek, S.; Buckner-Brown, J.; Krause, L.K. Community coalition-driven interventions to reduce health disparities among racial and ethnic minority populations. Cochrane Database Syst. Rev. 2015, 6, CD009905. [Google Scholar] [CrossRef] [PubMed]
- McCoy, D.C.; Hall, J.A.; Ridge, M. A systematic review of the literature for evidence on health facility committees in low- and middle-income countries. Health Policy Plan. 2011, 27, 449–466. [Google Scholar] [CrossRef] [PubMed]
- O’Mara-Eves, A.; Brunton, G.; Oliver, S.; Kavanagh, J.; Jamal, F.; Thomas, J. The effectiveness of community engagement in public health interventions for disadvantaged groups: A meta-analysis. BMC Public Health 2015, 15, 129. [Google Scholar] [CrossRef] [PubMed]
- Luxford, K.; Safran, D.G.; Delbanco, T. Promoting patient-centered care: A qualitative study of facilitators and barriers in healthcare organizations with a reputation for improving the patient experience. Int. J. Qual. Health Care 2011, 23, 510–515. [Google Scholar] [CrossRef] [PubMed]
- Concannon, T.W.; Meissner, P.; Grunbaum, J.A.; McElwee, N.; Guise, J.-M.; Santa, J.; Conway, P.H.; Daudelin, D.; Morrato, E.H.; Leslie, L.K. A new taxonomy for stakeholder engagement in patient-centered outcomes research. J. Gen. Intern. Med. 2012, 27, 985–991. [Google Scholar] [CrossRef] [PubMed]
- Concannon, T.W.; Fuster, M.; Saunders, T.; Patel, K.; Wong, J.B.; Leslie, L.K.; Lau, J. A systematic review of stakeholder engagement in comparative effectiveness and patient-centered outcomes research. J. Gen. Intern. Med. 2014, 29, 1692–1701. [Google Scholar] [CrossRef] [PubMed]
- Bammer, G. Key issues in co-creation with stakeholders when research problems are complex. Evid. Policy 2019, 15, 423–435. [Google Scholar] [CrossRef]
- Stellefson, M.; Chaney, B.; Barry, A.E.; Chavarria, E.; Tennant, B.; Walsh-Childers, K.; Sriram, P.; Zagora, J. Web 2.0 chronic disease self-management for older adults: A systematic review. J. Med. Internet Res. 2013, 15, e35. [Google Scholar] [CrossRef]
- McGarrigle, L.; Todd, C. Promotion of Physical Activity in Older People Using mHealth and eHealth Technologies: Rapid Review of Reviews. J. Med. Internet Res. 2020, 22, e22201. [Google Scholar] [CrossRef]
- Kraaijkamp, J.J.M.; Van Dam Van Isselt, E.F.; Persoon, A.; Versluis, A.; Chavannes, N.H.; Achterberg, W.P. eHealth in Geriatric Rehabilitation: Systematic Review of Effectiveness, Feasibility, and Usability. J. Med. Internet Res. 2021, 23, e24015. [Google Scholar] [CrossRef]
- Yerrakalva, D.; Yerrakalva, D.; Hajna, S.; Griffin, S. Effects of Mobile Health App Interventions on Sedentary Time, Physical Activity, and Fitness in Older Adults: Systematic Review and Meta-Analysis. J. Med. Internet Res. 2019, 21, e14343. [Google Scholar] [CrossRef]
- Markert, C.; Sasangohar, F.; Mortazavi, B.J.; Fields, S. The Use of Telehealth Technology to Support Health Coaching for Older Adults: Literature Review. JMIR Hum. Factors 2021, 8, e23796. [Google Scholar] [CrossRef] [PubMed]
- Hossain, S.N.; Jaglal, S.B.; Shepherd, J.; Perrier, L.; Tomasone, J.R.; Sweet, S.N.; Luong, D.; Allin, S.; A Nelson, M.L.; Guilcher, S.J.T.; et al. Web-Based Peer Support Interventions for Adults Living with Chronic Conditions: Scoping Review. JMIR Rehabil. Assist. Technol. 2021, 8, e14321. [Google Scholar] [CrossRef] [PubMed]
- Stara, V.; Soraci, L.; Takano, E.; Kondo, I.; Möller, J.; Maranesi, E.; Luzi, R.; Riccardi, G.R.; Browne, R.; Dacunha, S.; et al. Intrinsic Capacity and Active and Healthy Aging Domains Supported by Personalized Digital Coaching: Survey Study among Geriatricians in Europe and Japan on eHealth Opportunities for Older Adults. J. Med. Internet Res. 2023, 25, e41035. [Google Scholar] [CrossRef] [PubMed]
- Hess, J.; Randall, D.; Pipek, V.; Wulf, V. Involving users in the wild—Participatory product development in and with online communities. Int. J. Human-Computer Stud. 2013, 71, 570–589. [Google Scholar] [CrossRef]
- Renn, B.N.; Schurr, M.; Zaslavsky, O.; Pratap, A. Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care. Front. Psychiatry 2021, 12, 734909. [Google Scholar] [CrossRef] [PubMed]
- Davis, M.M.; Freeman, M.; Kaye, J.; Vuckovic, N.; Buckley, D.I. A systematic review of clinician and staff views on the acceptability of incorporating remote monitoring technology into primary care. Telemed. e-Health 2014, 20, 428–438. [Google Scholar] [CrossRef]
- Celler, B.G.; Sparks, R.; Nepal, S.; Alem, L.; Varnfield, M.; Li, J.; Jang-Jaccard, J.; McBride, S.J.; Jayasena, R. Design of a multi-site multi-state clinical trial of home monitoring of chronic disease in the community in Australia. BMC Public Health 2014, 14, 1270. [Google Scholar] [CrossRef]
- Facchinetti, G.; Petrucci, G.; Albanesi, B.; De Marinis, M.G.; Piredda, M. Can smart home technologies help older adults manage their chronic condition? A systematic literature review. Int. J. Environ. Res. Public Health 2023, 20, 1205. [Google Scholar] [CrossRef]
- Li, J.; Varnfield, M.; Jayasena, R.; Celler, B. Home telemonitoring for chronic disease management: Perceptions of users and factors influencing adoption. Health Inform. J. 2021, 27, 146045822199789. [Google Scholar] [CrossRef]
- Kruse, C.S.; Mileski, M.; Moreno, J. Mobile health solutions for the aging population: A systematic narrative analysis. J. Telemed. Telecare 2017, 23, 439–451. [Google Scholar] [CrossRef] [PubMed]
- Möller, J.; Bevilacqua, R.; Browne, R.; Shinada, T.; Dacunha, S.; Palmier, C.; Stara, V.; Maranesi, E.; Margaritini, A.; Takano, E.; et al. User Perceptions and Needs Analysis of a Virtual Coach for Active and Healthy Ageing—An International Qualitative Study. Int. J. Environ. Res. Public Health 2022, 19, 10341. [Google Scholar] [CrossRef]
- e-VITA. Available online: https://www.e-vita.coach/ (accessed on 26 October 2023).
- De Santis, L.; Ugarriza, D. The concept of theme as used in qualitative nursing research. West. J. Nurs. Res. 2000, 22, 351–372. [Google Scholar] [CrossRef] [PubMed]
- Braun, V.; Clarke, V. Using thematic analysis in psychology. Qual. Res. Psychol. 2006, 3, 77–101. [Google Scholar] [CrossRef]
- Stahl, N.; King, J. Expanding Approaches for Research: Understanding and Using Trustworthiness in Qualitative Research. J. Dev. Educ. 2020, 44, 26–28. [Google Scholar] [CrossRef]
- Morse, J.M.; Barrett, M.; Mayan, M.; Olson, K.; Spiers, J. Verification Strategies for Establishing Reliability and Validity in Qualitative Research. Int. J. Qual. Methods 2016, 1, 13–22. [Google Scholar] [CrossRef]
- Kornbluh, M. Combatting Challenges to Establishing Trustworthiness in Qualitative Research. Qual. Res. Psychol. 2015, 12, 397–414. [Google Scholar] [CrossRef]
- Nowell, L.S.; Norris, J.M.; White, D.E.; Moules, N.J. Thematic Analysis. Int. J. Qual. Methods 2017, 16, 160940691773384. [Google Scholar] [CrossRef]
- Tabue-Teguo, M.; de Souza, P.B.; Cantet, C.; Andrieu, S.; Simo, N.; Fougère, B.; Dartigues, J.F.; Vellas, B. Effect of Multidomain Intervention, Omega-3 Polyunsaturated Fatty Acids Supplementation or their Combinaison on Cognitive Function in Non-Demented Older Adults According to Frail Status: Results from the MAPT Study. J. Nutr. Health Aging 2018, 22, 923–927. [Google Scholar] [CrossRef]
- de Souto Barreto, P.; Rolland, Y.; Maltais, M.; Vellas, B.; MAPT Study Group. Associations of Multidomain Lifestyle Intervention with Frailty: Secondary Analysis of a Randomized Controlled Trial. Am. J. Med. 2018, 131, 1382.e7–1382.e13. [Google Scholar] [CrossRef]
- Rainero, I.; Summers, M.J.; Monter, M.; Bazzani, M.; Giannouli, E.; Aumayr, G.; Burin, D.; Provero, P.; Vercelli, A.E.; for the My-AHA Consortium. The My Active and Healthy Aging ICT platform prevents quality of life decline in older adults: A randomised controlled study. Age Ageing 2021, 50, 1261–1267. [Google Scholar] [CrossRef] [PubMed]
- Kulmala, J.; Ngandu, T.; Havulinna, S.; Levälahti, E.; Lehtisalo, J.; Solomon, A.; Antikainen, R.; Laatikainen, T.; Pippola, P.; Peltonen, M.; et al. The Effect of Multidomain Lifestyle Intervention on Daily Functioning in Older People. J. Am. Geriatr. Soc. 2019, 67, 1138–1144. [Google Scholar] [CrossRef] [PubMed]
- Ngandu, T.; Lehtisalo, J.; Solomon, A.; Levälahti, E.; Ahtiluoto, S.; Antikainen, R.; Bäckman, L.; Hänninen, T.; Jula, A.; Laatikainen, T.; et al. A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): A randomised controlled trial. Lancet 2015, 385, 2255–2263. [Google Scholar] [CrossRef] [PubMed]
- Perissinotto, C.; Holt-Lunstad, J.; Periyakoil, V.S.; Covinsky, K. A Practical Approach to Assessing and Mitigating Loneliness and Isolation in Older Adults. J. Am. Geriatr. Soc. 2019, 67, 657–662. [Google Scholar] [CrossRef] [PubMed]
- Evans, I.E.; Martyr, A.; Collins, R.; Brayne, C.; Clare, L. Social Isolation and Cognitive Function in Later Life: A Systematic Review and Meta-Analysis. J. Alzheimer’s Dis. 2019, 70, S119–S144. [Google Scholar] [CrossRef] [PubMed]
- Singer, C. Health Effects of Social Isolation and Loneliness. J. Aging Life Care 2018, 28, 4–8. [Google Scholar]
- Malcolm, M.; Frost, H.; Cowie, J. Loneliness and social isolation causal association with health-related lifestyle risk in older adults: A systematic review and meta-analysis protocol. Syst. Rev. 2019, 8, 48. [Google Scholar] [CrossRef]
- Chen, Y.-R.R.; Schulz, P.J. The Effect of Information Communication Technology Interventions on Reducing Social Isolation in the Elderly: A Systematic Review. J. Med. Internet Res. 2016, 18, e18–e50. [Google Scholar] [CrossRef]
- Chipps, J.; Jarvis, M.A.; Ramlall, S. The effectiveness of e-Interventions on reducing social isolation in older persons: A systematic review of systematic reviews. J. Telemed. Telecare 2017, 23, 817–827. [Google Scholar] [CrossRef]
- Vitak, J.; Shilton, K. Trust, Privacy and Security, and Accessibility Considerations When Conducting Mobile Technologies Research With Older Adults. In Mobile Technology for Adaptive Aging: Proceedings of a Workshop; National Academies of Sciences, Engineering, and Medicine; Division of Behavioral and Social Sciences and Education; Board on Behavioral, Cognitive, and Sensory Sciences; National Academies Press (US): Washington, DC, USA, 2020; Chapter 1. Available online: https://www.ncbi.nlm.nih.gov/books/NBK563116/ (accessed on 29 January 2024).
- Internet World Stats. World Internet Usage and Population Statistics (2021 Year-Q1 Estimates). Available online: https://www.internetworldstats.com/stats.htm (accessed on 25 October 2023).
- Cahn, A.; Akirov, A.; Raz, I. Digital health technology and diabetes management. J. Diabetes 2018, 10, 10–17. [Google Scholar] [CrossRef]
- van der Vaart, R.; van Driel, D.; Pronk, K.; Paulussen, S.; Boekhorst, S.T.; Rosmalen, J.G.M.; Evers, A.W.M. The role of age, education, and digital health literacy in the usability of internet-based cognitive behavioral therapy for chronic pain: Mixed methods study. JMIR Form. Res. 2019, 3, e12883. [Google Scholar] [CrossRef] [PubMed]
- Crawford, A.; Serhal, E. Digital health equity and COVID-19: The innovation curve cannot reinforce the social gradient of health. J. Med. Internet Res. 2020, 22, e19361. [Google Scholar] [CrossRef] [PubMed]
- Tong, A.; Sainsbury, P.; Craig, J. Consolidated criteria for reporting qualitative research (COREQ): A 32-item checklist for interviews and focus groups. Int. J. Qual. Health Care 2007, 19, 349–357. [Google Scholar] [CrossRef] [PubMed]
Code | Country | Expertise |
---|---|---|
IT01 | Italy | Teacher at the University of the Third Age of Ancona |
IT02 | Italy | Regional Secretary Marche region Union for pensioners |
IT03 | Italy | President of a non-profit association |
FR01 | France | Health insurance company and innovation projects |
FR02 | France | Health insurance company and innovation projects |
FR03 | France | Geriatrician |
FR04 | France | Social actor at the Municipality of Paris |
FR05 | France | Social actor at the Municipality of Paris |
FR06 | France | Employee at an organization that promotes ageing well in retirement |
GE01 | Germany | Employee at an IT company–working with health insurance and developing e-health software for them |
GE02 | Germany | Employee at an IT company–working with health insurance and developing e-health software for them |
GE03 | Germany | Employee at an NGO focused on technology adaptation |
JP01 | Japan | Social expert |
JP02 | Japan | Social expert |
JP03 | Japan | Politician |
JP04 | Japan | Social expert |
JP05 | Japan | Social expert |
JP06 | Japan | Technician |
JP07 | Japan | Economist |
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Stara, V.; Maranesi, E.; Möller, J.; Palmier, C.; Ogawa, T.; Browne, R.; Luc, M.; Wieching, R.; Boudy, J.; Bevilacqua, R. Technology-Enabled Senior Living: A Preliminary Report on Stakeholder Perspectives. Healthcare 2024, 12, 381. https://doi.org/10.3390/healthcare12030381
Stara V, Maranesi E, Möller J, Palmier C, Ogawa T, Browne R, Luc M, Wieching R, Boudy J, Bevilacqua R. Technology-Enabled Senior Living: A Preliminary Report on Stakeholder Perspectives. Healthcare. 2024; 12(3):381. https://doi.org/10.3390/healthcare12030381
Chicago/Turabian StyleStara, Vera, Elvira Maranesi, Johanna Möller, Cecilia Palmier, Toshimi Ogawa, Ryan Browne, Marine Luc, Rainer Wieching, Jerome Boudy, and Roberta Bevilacqua. 2024. "Technology-Enabled Senior Living: A Preliminary Report on Stakeholder Perspectives" Healthcare 12, no. 3: 381. https://doi.org/10.3390/healthcare12030381
APA StyleStara, V., Maranesi, E., Möller, J., Palmier, C., Ogawa, T., Browne, R., Luc, M., Wieching, R., Boudy, J., & Bevilacqua, R. (2024). Technology-Enabled Senior Living: A Preliminary Report on Stakeholder Perspectives. Healthcare, 12(3), 381. https://doi.org/10.3390/healthcare12030381