A Qualitative Study toward Technologies for Active and Healthy Aging: A Thematic Analysis of Perspectives among Primary, Secondary, and Tertiary End Users
Abstract
:1. Introduction
1.1. Theoretical Background
1.2. Objective
2. Materials and Methods
2.1. Inclusion Criteria
2.2. Data Collection Methodology
- If and what the video or storyboards evocated in their mind (features, services, or simply suggestions to improve the system);
- Why they found it interesting or otherwise (which is the added value for them, the pains and gains).
2.3. Data Analysis Methodology
3. Results
3.1. Older Adults’ Perspectives
3.2. Caregivers’ Perspectives
3.3. Stakeholders’ Perspectives
4. Discussion
4.1. Limitation
4.2. Implication for Users and ICT
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- United Nations, Department of Economic and Social Affairs. Population Dynamics, World Population Prospects. 2019. Population Data. Available online: https://esa.un.org/unpd/wpp/Download/Standard/Population/ (accessed on 7 April 2021).
- Foster, L.; Walker, A. Active and successful aging: A European policy perspective. Gerontologist 2015, 55, 83–90. [Google Scholar] [CrossRef] [PubMed]
- López-López, R.; Sánchez, M. The institutional active aging paradigm in Europe (2002–2015). Gerontologist 2020, 60, 406–415. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. Active Ageing: A Policy Framework. 2002. Available online: https://apps.who.int/iris/bitstream/handle/10665/67215/WHO_NMH_NPH_02.8.pdf (accessed on 7 April 2021).
- European Commission. Employment, Social Affairs & Inclusion, Social Protection & Social Inclusion, Social Investment. Active Ageing. Available online: http://ec.europa.eu/social/main.jsp?catId=1062&langId=en (accessed on 7 April 2021).
- Hijas-Gómez, A.I.; Ayala, A.; Rodríguez-García, M.P.; Rodríguez-Blázquez, C.; Rodríguez-Rodríguez, V.; Rojo-Pérez, F.; Fernández-Mayoralas, G.; Rodríguez-Laso, A.; Calderón-Larrañaga, A.; Forjaz, M.J. The WHO active ageing pillars and its association with survival: Findings from a population-based study in Spain. Arch. Gerontol. Geriatr. 2020, 90, 104114. [Google Scholar] [CrossRef] [PubMed]
- Yusif, S.; Soar, J.; Hafeez-Baig, A. Older people, assistive technologies, and the barriers to adoption: A systematic review. Int. J. Med. Inform. 2016, 94, 112–116. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- De Angeli, A.; Jovanović, M.; McNeill, A.; Coventry, L. Desires for active ageing technology. Int. J. Hum. Comput. 2020, 138, 102412. [Google Scholar] [CrossRef]
- Iecovich, E. Aging in Place: From Theory to Practice. Anthropol. Noteb. 2014, 20, 21–33. Available online: http://ojs.westeurope.cloudapp.azure.com/Notebooks/article/view/200/175 (accessed on 7 April 2021).
- Kim, K.I.; Gollamudi, S.S.; Steinhubl, S. Digital technology to enable aging in place. Exp. Gerontol. 2017, 88, 25–31. [Google Scholar] [CrossRef]
- Tun, S.Y.Y.; Madanian, S.; Mirza, F. Internet of things (IoT) applications for elderly care: A reflective review. Aging Clin. Exp. Res. 2020. [Google Scholar] [CrossRef]
- Ollevier, A.; Aguiar, G.; Palomino, M.; Simpelaere, I.S. How can technology support ageing in place in healthy older adults? A systematic review. Public Health Rev. 2020, 41, 1–12. [Google Scholar] [CrossRef]
- Peek, S.T.M.; Luijkx, K.G.; Vrijhoef, H.J.M.; Nieboer, M.E.; Aarts, S.; van der Voort, C.S.; Rijnaard, M.D.; Wouters, E.J.M. Understanding changes and stability in the long-term use of technologies by seniors who are aging in place: A dynamical framework. BMC Geriatr. 2019, 19, 236. [Google Scholar] [CrossRef] [Green Version]
- Hill, R.; Betts, L.R.; Gardner, S.E. Older adults’ experiences and perceptions of digital technology: (dis)empowerment, wellbeing, and inclusion. Comput. Hum. Behav. 2015, 48, 415–423. [Google Scholar] [CrossRef] [Green Version]
- Vanleerberghe, P.; De Witte, N.; Claes, C.; Schalock, R.L.; Verté, D. The quality of life of older people aging in place: A literature review. Qual. Life Res. 2017, 26, 2899–2907. [Google Scholar] [CrossRef] [PubMed]
- Armstrong, D.G.; Najafi, B.; Shahinpoor, M. Potential applications of smart multifunctional wearable materials to gerontology. Gerontology 2017, 63, 287–298. [Google Scholar] [CrossRef] [PubMed]
- Basatneh, R.; Najafi, B.; Armstrong, D.G. Health sensors, smart home devices, and the internet of medical things: An opportunity for dramatic improvement in care for the lower extremity complications of diabetes. J. Diabetes Sci. Technol. 2018, 12, 577–586. [Google Scholar] [CrossRef] [PubMed]
- Klimova, B. Mobile health devices for aging population groups: A review study. In Mobile Web and Intelligent Information Systems; Lecture Notes in Computer, Science; Younas, M., Awan, I., Kryvinska, N., Strauss, C., Thanh, D., Eds.; Springer: Cham, Switzerland, 2016; Volume 9847, pp. 295–301. [Google Scholar]
- Vassli, L.T.; Farshchian, B.A. Acceptance of health-related ICT among elderly people living in the community: A systematic review of qualitative evidence. Int. J. Hum. Comput. Interact. 2018, 34, 99–116. [Google Scholar] [CrossRef]
- The National Academies of Sciences, Engineering, and Medicine. Social Isolation and Loneliness in Older Adults: Opportunities for the Health Care System; National Academies Press: Washington, DC, USA, 2020. [Google Scholar]
- 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]
- Evans, I.E.M.; Martyr, A.; Collins, R.; Brayne, C.; Clare, L. Social isolation and cognitive function in later life: A systematic review and meta-analysis. J. Alzheimers Dis. 2019, 70, S119–S144. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Singer, C. Health effects of social isolation and loneliness. J. Aging Life Care 2018, 28, 4–8. Available online: https://www.aginglifecare.org/ALCA_Web_Docs/journal/ALCA%20Journal%20Spg18_FINAL.pdf#page=4 (accessed on 7 April 2021).
- 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] [Green Version]
- 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. [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]
- Khosravi, P.; Ghapanchi, A.H. Investigating the effectiveness of technologies applied to assist seniors: A systematic literature review. Int. J. Med. Inform. 2016, 85, 17–26. [Google Scholar] [CrossRef] [PubMed]
- Engineer, A.; Sternberg, E.M.; Najafi, B. Designing interiors to mitigate physical and cognitive deficits related to aging and to promote longevity in older adults: A review. Gerontology 2018, 64, 612–622. [Google Scholar] [CrossRef] [PubMed]
- Meiland, F.; Innes, A.; Mountain, G.; Robinson, L.; van der Roest, H.; García-Casal, J.A.; Gove, D.; Thyrian, J.R.; Evans, S.; Dröes, R.; et al. Technologies to support community-dwelling persons with dementia: A position paper on issues regarding development, usability, effectiveness and cost-effectiveness, deployment, and ethics. JMIR Rehabil. Assist. Technol. 2017, 4, e1. [Google Scholar] [CrossRef]
- Milte, R.; Shulver, W.; Killington, M.; Bradley, C.; Ratcliffe, J.; Crotty, M. Quality in residential care from the perspective of people living with dementia: The importance of personhood. Arch. Gerontol. Geriatr. 2016, 63, 9–17. [Google Scholar] [CrossRef] [Green Version]
- Koo, B.M.; Vizer, L.M. Examining mobile technologies to support older adults with dementia through the lens of personhood and human needs: Scoping review. JMIR Mhealth Uhealth 2019, 7, e15122. [Google Scholar] [CrossRef] [PubMed]
- ISO. ISO 9241-210:2010 Ergonomics of Human-System Interaction—Part 210: Human-Centred Design for Interactive Systems. 2010. Available online: https://www.iso.org/standard/52075.html (accessed on 7 April 2021).
- Lewis, C.H. Using the “Thinking-Aloud” Method in Cognitive Interface Design; IBM Thomas J. Watson Research Center: Yorktown Heights, NY, USA, 1982. [Google Scholar]
- Van Someren, M.W.; Barnard, Y.F.; Sandberg, J.A.C. The Think Aloud Method. A Practical Guide to Modelling Cognitive Processes; Academic Press: London, UK, 1994. [Google Scholar]
- Güss, C.D. What is going through your mind? Thinking aloud as a method in cross-cultural psychology. Front. Psychol. 2018, 9, 1292. [Google Scholar] [CrossRef]
- Czaja, S.J.; Boot, W.R.; Charness, N.; Rogers, W.A. Designing for Older Adults: Principles and Creative Human Factors Approaches, 3rd ed.; CRC Press: Boca Raton, FL, USA, 2019. [Google Scholar]
- Maramba, I.; Chatterjee, A.; Newman, C. Methods of usability testing in the development of eHealth applications: A scoping review. Int. J. Med. Inf. 2019, 126, 95–104. [Google Scholar] [CrossRef]
- Noble, H.; Smith, J. Issues of validity and reliability in qualitative research. Evid. Based Nurs. 2015, 18, 34–35. [Google Scholar] [CrossRef] [Green Version]
- 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 2002, 1, 13–22. [Google Scholar] [CrossRef]
- Sandelowski, M. Rigor or rigor mortis: The problem of rigor in qualitative research revisited. Adv. Nurs. Sci. 1993, 16, 1–8. Available online: https://chip.uconn.edu/wp-content/uploads/sites/1245/2019/05/Sandelowski-1993-Rigor-or-Rigor-Mortis-The-Problem-of-Rigor-in-Qualitative-Research-Revisited.pdf (accessed on 7 April 2021). [CrossRef]
- DeSantis, L.; Ugarriza, D.N. The concept of theme as used in qualitative nursing research. West. J. Nur. Res. 2000, 22, 351–372. [Google Scholar] [CrossRef]
- Braun, V.; Clarke, V. Using thematic analysis in psychology. Qual. Res. Psychol. 2006, 3, 77–101. [Google Scholar] [CrossRef] [Green Version]
- Vaismoradi, M.; Turunen, H.; Bondas, T. Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. J. Nurs. Health Sci. 2013, 15, 398–405. [Google Scholar] [CrossRef] [PubMed]
- Manini, T.M.; Mendoza, T.; Battula, M.; Davoudi, A.; Kheirkhahan, M.; Young, M.E.; Weber, E.; Fillingim, R.B.; Rashidi, P. Perceptions of older adults toward smartwatch technology for assessing pain and related patient-reported outcomes: Pilot study. JMIR Mhealth Uhealth 2019, 7, e10044. [Google Scholar] [CrossRef] [Green Version]
- Peek, S.T.M.; Aarts, S.; Wouters, E. Can smart home technology deliver on the promise of independent living? A critical reflection based on the perspectives of older adults. In Handbook of Smart Homes, Health Care and Well-Being; van Hoof, J., Demiris, G., Wouters, E., Eds.; Springer: Cham, Switzerland, 2015; pp. 203–214. [Google Scholar]
- Liu, L.; Stroulia, E.; Nikolaidis, I.; Miguel-Cruz, A.; Rios Rincon, A. Smart homes and home health monitoring technologies for older adults: A systematic review. Int. J. Med. Inform. 2016, 91, 44–59. [Google Scholar] [CrossRef]
- Moons, K.G.M.; Altman, D.G.; Reitsma, J.B.; Ioannidis, J.P.A.; Macaskill, P.; Steyerberg, E.W.; Vickers, A.J.; Ransohoff, D.F.; Collins, G.S. Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): Explanation and elaboration. Ann. Intern. Med. 2015, 162, W1–W73. [Google Scholar] [CrossRef] [Green Version]
- Yazdani-Darki, M.; Rahemi, Z.; Adib-Hajbaghery, M.; Izadi, F.S. Older adults’ barriers to use technology in daily life: A qualitative study. Nurs. Midwifery Stud. 2020, 9, 229–236. [Google Scholar] [CrossRef]
- Peek, S.T.; Luijkx, K.G.; Rijnaard, M.D.; Nieboer, M.E.; van der Voort, C.S.; Aarts, S.; van Hoof, J.; Vrijhoef, H.J.M.; Wouters, E.J.M. Older adults’ reasons for using technology while aging in place. Gerontology 2016, 62, 226–237. [Google Scholar] [CrossRef] [PubMed]
- Demiris, G.; Hensel, B.K. Technologies for an aging society: A systematic review of “smart home” applications. Yearb. Med. Inform. 2008, 33–40. [Google Scholar] [CrossRef] [Green Version]
- Guner, H.; Acarturk, C. The use and acceptance of ICT by senior citizens: A comparison of technology acceptance model (TAM) for elderly and young adults. Univ. Access Inf. Soc. 2020, 19, 311–330. [Google Scholar] [CrossRef]
- Klimova, B.; Poulova, P. Older people and technology acceptance. In Human Aspects of IT for the Aged Population. Acceptance, Communication and Participation; Lecture Notes in Computer Science; Zhou, J., Salvendy, G., Eds.; Springer: Cham, Switzerland, 2018; Volume 10926, pp. 85–94. [Google Scholar]
- Tsai, H.S.; Shillair, R.; Cotton, S.R. Social support and “playing around”: An examination of how older adults acquire digital literacy with tablet computers. J. Appl. Gerontol. 2017, 36, 29–55. [Google Scholar] [CrossRef]
- Guo, P.J. Older adults learning computer programming: Motivations, frustrations, and design opportunities. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems-CHI ‘17, Denver, CO, USA, 6–11 May 2017; Association for Computing Machinery: New York, NY, USA, 2017; pp. 7070–7083. [Google Scholar]
- Frik, A.; Nurgalieva, L.; Bernd, J.; Lee, J.; Schaub, F.; Egelman, S. Privacy and security threat models and mitigation strategies of older adults. In Proceedings of the 15th Symposium on Usable Privacy and Security-SOUPS ‘19, Santa Clara, CA, USA, 11–13 August 2019; pp. 21–40. [Google Scholar]
- Sánchez, V.; Taylor, I.; Bing-Jonsson, P. Ethics of smart house welfare technology for older adults: A systematic literature review. Int. J. Technol. Assess. Health Care 2017, 33, 691–699. [Google Scholar] [CrossRef]
- Elueze, I.; Quan-Haase, A. Privacy attitudes and concerns in the digital lives of older adults: Westin’s privacy attitude typology revisited. Am. Behav. Sci. 2018, 62, 1372–1391. [Google Scholar] [CrossRef]
- Zeissig, E.M.; Lidynia, C.; Vervier, L.; Gadeib, A.; Ziefle, M. Online privacy perceptions of older adults. In Human Aspects of IT for the Aged Population. Applications, Services and Contexts; Lecture Notes in Computer Science; Zhou, J., Salvendy, G., Eds.; Springer: Cham, Switzerland, 2017; Volume 10298, pp. 181–200. [Google Scholar]
- McNeill, A.R.; Briggs, P.; Pywell, J.; Coventry, L. Functional privacy concerns of older adults about pervasive health-monitoring systems. In Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments-PETRA ‘17, Island of Rhodes, Greece, 21–23 June 2017; Association for Computing Machinery: New York, NY, USA, 2017; pp. 96–102. [Google Scholar]
- Quan-Hasse, A.; Williams, C.; Kicevski, M.; Elueze, I.; Wellman, B. Dividing the grey divide: Deconstructing myths about older adults’ online activities, skills, and attitudes. Am. Behav. Sci. 2018, 62, 1207–1228. [Google Scholar] [CrossRef]
- Vaportzis, E.; Clausen, M.G.; Gow, A.J. Older adults’ perceptions of technology and barriers to interacting with tablet computers: A focus group study. Front. Psychol. 2017, 8, 1687. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kuerbis, A.; Mulliken, A.; Muench, F.; Moore, A.A.; Gardner, D. Older adults and mobile technology: Factors that enhance and inhibit utilization in the context of behavioral health. Ment. Health Addict. Res. 2017, 2, 1–11. [Google Scholar] [CrossRef] [Green Version]
- Berkowsky, R.W.; Sharit, J.; Czaja, S.J. Factors predicting decisions about technology adoption among older adults. Innov. Aging 2017, 1, igy002. [Google Scholar] [CrossRef]
- Del Barrio, E.; Marsillas, S.; Buffel, T.; Smetcoren, A.-S.; Sancho, M. From active aging to active citizenship: The role of (age) friendliness. Soc. Sci. 2018, 7, 134. [Google Scholar] [CrossRef] [Green Version]
- Fattah, S.M.M.; Sung, N.M.; Ahn, I.Y.; Ryu, M.; Yun, J. Building IoT services for aging in place using standard-based IoT platforms and heterogeneous IoT products. Sensors 2017, 17, 2311. [Google Scholar] [CrossRef]
- Hargreaves, T.; Wilson, C.; Hauxwell-Baldwin, R. Learning to live in a smart home. Build. Res. Inf. 2018, 46, 127–139. [Google Scholar] [CrossRef] [Green Version]
- Lee, L.N.; Kim, M.J. A critical review of smart residential environments for older adults with a focus on pleasurable experience. Front. Psychol. 2020, 10, 3080. [Google Scholar] [CrossRef]
- Turjamaa, R.; Pehkonen, A.; Kangasniemi, M. How smart homes are used to support older people: An integrative review. Int. J. Older People Nurs. 2019, 14, e12260. [Google Scholar] [CrossRef]
- Lindeman, D.A. Improving the independence of older adults through technology: Directions for public policy. Public Policy Aging Rep. 2017, 27, 49–52. [Google Scholar] [CrossRef] [Green Version]
- Machón, M.; Larrañaga, I.; Dorronsoro, M.; Vrotsou, K.; Vergara, I. Health-related quality of life and associated factors in functionally independent older people. BMC Geriatr. 2017, 19. [Google Scholar] [CrossRef] [Green Version]
- Rogers, W.A.; Mitzner, T.L. Envisioning the future for older adults: Autonomy, health, well-being, and social connectedness with technology support. Futures 2017, 87, 133–139. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Astell, A.J.; McGrath, C.; Dove, E. “That’s for old so and so’s!”: Does identity influence older adults’ technology adoption decisions? Ageing Soc. 2020, 40, 1550–1576. [Google Scholar] [CrossRef]
- Mannheim, I.; Schwartz, E.; Xi, W.; Buttigieg, S.C.; McDonnell-Naughton, M.; Wouters, E.J.M.; van Zaalen, Y. Inclusion of older adults in the research and design of digital technology. Int. J. Environ. Res. Public Health 2019, 16, 3718. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ahn, M.; Kwon, H.J.; Kang, J. Supporting aging-in-place well: Findings from a cluster analysis of the reasons for aging-in-place and perceptions of well-being. J. Appl. Gerontol. 2020, 39, 3–15. [Google Scholar] [CrossRef]
- Bevilacqua, R.; Felici, E.; Marcellini, F.; Glende, S.; Klemcke, S.; Conrad, I.; Esposito, R.; Cavallo, F.; Dario, P. Robot-Era project: Preliminary results on the system usability. In Design, User Experience, and Usability: Interactive Experience Design; Lecture Notes in Computer Science; Marcus, A., Ed.; Springer: Cham, Switzerland, 2015; Volume 9188, pp. 553–561. [Google Scholar]
- Cavallo, F.; Esposito, R.; Limosani, R.; Manzi, A.; Bevilacqua, R.; Felici, E.; Di Nuovo, A.; Cangelosi, A.; Lattanzio, F.; Dario, P. Robotic services acceptance in smart environments with older adults: User satisfaction and acceptability study. J. Med. Internet Res. 2018, 20, e264. [Google Scholar] [CrossRef] [PubMed]
- Casaccia, S.; Revel, G.M.; Scalise, L.; Bevilacqua, R.; Rossi, L.; Paauwe, R.A.; Karkowsky, I.; Ercoli, I.; Serrano, J.A.; Suijkerbuijk, S.; et al. Social robot and sensor network in support of activity of daily living for people with dementia. In Dementia Lab 2019. Making Design Work: Engaging with Dementia in Context; Communications in Computer and Information Science; Brankaert, R., IJsselsteijn, W., Eds.; Springer: Cham, Switzerland, 2019; Volume 1117, pp. 128–135. [Google Scholar]
- Schreurs, K.; Quan-Haase, A.; Martin, K. Problematizing the digital literacy paradox in the context of older adults’ ICT use. Can. J. Commun. 2017, 42, 259–377. Available online: https://pdfs.semanticscholar.org/aa60/20735a986718b691cbfb4663b94612ac8848.pdf (accessed on 7 April 2021). [CrossRef] [Green Version]
- Padilla-Góngora, D.; López-Liria, R.; Díaz-López, M.D.P.; Aguilar-Parra, J.M.; Vargas-Muñoz, M.E.; Rocamora-Pérez, P. Habits of the elderly regarding access to the new information and communication technologies. Procedia Soc. Behav. Sci. 2017, 237, 1412–1417. [Google Scholar] [CrossRef]
- Ghanvatkar, S.; Kankanhalli, A.; Rajan, V. User models for personalized physical activity interventions: Scoping review. JMIR Mhealth Uhealth 2019, 7, e11098. [Google Scholar] [CrossRef] [Green Version]
- Fan, H.; Poole, M.S. What is personalization? Perspectives on the design and implementation of personalization in information systems. J. Organ. Comput. Electron. Commer. 2006, 16, 179–202. [Google Scholar] [CrossRef]
- Kocaballi, A.B.; Berkovsky, S.; Quiroz, J.C.; Laranjo, L.; Tong, H.L.; Rezazadegan, D.; Briatore, A.; Coiera, E. The personalization of conversational agents in health care: Systematic review. J. Med. Internet Res. 2019, 21, e15360. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Holthe, T.; Halvorsrud, L.; Karterud, D.; Hoel, K.A.; Lund, A. Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: A systematic literature review. Clin. Interv. Aging 2018, 13, 863–886. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Krueger, R.A.; Casey, M.A. Focus Groups: A Practical Guide for Applied Research; SAGE Publications: Thousand Oaks, CA, USA, 2009. [Google Scholar]
- Rosenthal, M. Qualitative research methods: Why, when, and how to conduct interviews and focus groups in pharmacy research. Curr. Pharm. Teach. Learn. 2016, 8, 509–516. [Google Scholar] [CrossRef]
- Stewart, D.W.; Shamdasani, P.N.; Rook, D.W. Focus Groups. Theory and Practice; SAGE Publications: Thousand Oaks, CA, USA, 2007. [Google Scholar]
- Bowling, A. Research Methods in Health; Open University Press: Berkshire, UK, 2002. [Google Scholar]
- Fern, E.F. The use of focus groups for idea generation: The effects of group size, acquaintanceship, and moderator on response quantity and quality. J. Mark. Res. 1982, 19, 1–13. [Google Scholar] [CrossRef] [Green Version]
- Morse, J.M. Sampling in grounded theory. In The SAGE Handbook of Grounded Theory; Bryant, A., Charmaz, K., Eds.; SAGE Publications: London, UK, 2010; pp. 229–246. [Google Scholar]
- Glaser, B.G.; Strauss, A.L.; Strutzel, E. The discovery of grounded theory: Strategies for qualitative research. Nurs. Res. 1968, 17, 364. [Google Scholar] [CrossRef] [Green Version]
- Strauss, A.L.; Corbin, J. Basics of Qualitative Research. Grounded Theory Procedures and Techniques; SAGE Publications: Newbury Park, CA, USA, 1990. [Google Scholar]
- Tyrrell, C.J.; Williams, K.N. The paradox of social distancing: Implications for older adults in the context of COVID-19. Psychol. Trauma Theory Res. Pract. Policy 2020, 12, S214–S216. [Google Scholar] [CrossRef]
- Goethals, L.; Barth, N.; Guyot, J.; Hupin, D.; Celarier, T.; Bongue, B. Impact of home quarantine on physical activity among older adults living at home during the COVID-19 pandemic: Qualitative interview study. JMIR Aging 2020, 3, e19007. [Google Scholar] [CrossRef] [PubMed]
Participants (Group_Code Participant) | N | Age (Mean; SD) | Gender | Living Condition | Using IT Devices | Nation |
---|---|---|---|---|---|---|
Older adults (G1_ P1–P13) | 13 | 78.31 (6.62) | 11 women 2 men | 8 living alone 5 with spouse | 87% | 5 from Italy 8 from Romania |
Caregivers (G2_P14–P21) | 8 | 51.8 (11.06) | 4 women 4 men | 1 with spouse 5 with mother 2 with father | 100% | 5 from Italy 3 from Romania |
Stakeholders (G3_P22–P30) | 9 | 43.67 (17.73) | 6 women 3 men | - | 100% | 5 from Italy 4 from Romania |
Themes | Older Adults | Caregivers | Stakeholders | Sum | |
---|---|---|---|---|---|
1 | Learnability | 13 | 6 | 3 | 22 |
2 | Security | 5 | 3 | 2 | 10 |
3 | Independence, empowerment, and coaching values | 3 | 4 | 3 | 9 |
4 | Social isolation | 3 | 1 | 2 | 6 |
5 | Impact of habit, culture, and education variables | 3 | 1 | - | 4 |
6 | Personalized solutions | - | 3 | 1 | 4 |
Total Sum | 27 | 18 | 11 | 55 |
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Rampioni, M.; Moșoi, A.A.; Rossi, L.; Moraru, S.-A.; Rosenberg, D.; Stara, V. A Qualitative Study toward Technologies for Active and Healthy Aging: A Thematic Analysis of Perspectives among Primary, Secondary, and Tertiary End Users. Int. J. Environ. Res. Public Health 2021, 18, 7489. https://doi.org/10.3390/ijerph18147489
Rampioni M, Moșoi AA, Rossi L, Moraru S-A, Rosenberg D, Stara V. A Qualitative Study toward Technologies for Active and Healthy Aging: A Thematic Analysis of Perspectives among Primary, Secondary, and Tertiary End Users. International Journal of Environmental Research and Public Health. 2021; 18(14):7489. https://doi.org/10.3390/ijerph18147489
Chicago/Turabian StyleRampioni, Margherita, Adrian Alexandru Moșoi, Lorena Rossi, Sorin-Aurel Moraru, Dan Rosenberg, and Vera Stara. 2021. "A Qualitative Study toward Technologies for Active and Healthy Aging: A Thematic Analysis of Perspectives among Primary, Secondary, and Tertiary End Users" International Journal of Environmental Research and Public Health 18, no. 14: 7489. https://doi.org/10.3390/ijerph18147489
APA StyleRampioni, M., Moșoi, A. A., Rossi, L., Moraru, S.-A., Rosenberg, D., & Stara, V. (2021). A Qualitative Study toward Technologies for Active and Healthy Aging: A Thematic Analysis of Perspectives among Primary, Secondary, and Tertiary End Users. International Journal of Environmental Research and Public Health, 18(14), 7489. https://doi.org/10.3390/ijerph18147489