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Factors influencing acceptance of technology for aging in place: A systematic review
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PURPOSE: To provide an overview of factors influencing the acceptance of electronic technologies that support aging in place by community-dwelling older adults. Since technology acceptance factors fluctuate over time, a distinction was made between factors in the pre-implementation stage and factors in the post-implementation stage. METHODS: A systematic review of mixed studies. Seven major scientific databases (including MEDLINE, Scopus and CINAHL) were searched. Inclusion criteria were as follows: (1) original and peer-reviewed research, (2) qualitative, quantitative or mixed methods research, (3) research in which participants are community-dwelling older adults aged 60 years or older, and (4) research aimed at investigating factors that influence the intention to use or the actual use of electronic technology for aging in place. Three researchers each read the articles and extracted factors. RESULTS: Sixteen out of 2841 articles were included. Most articles investigated acceptance of technology that enhances safety or provides social interaction. The majority of data was based on qualitative research investigating factors in the pre-implementation stage. Acceptance in this stage is influenced by 27 factors, divided into six themes: concerns regarding technology (e.g., high cost, privacy implications and usability factors); expected benefits of technology (e.g., increased safety and perceived usefulness); need for technology (e.g., perceived need and subjective health status); alternatives to technology (e.g., help by family or spouse), social influence (e.g., influence of family, friends and professional caregivers); and characteristics of older adults (e.g., desire to age in place). When comparing these results to qualitative results on post-implementation acceptance, our analysis showed that some factors are persistent while new factors also emerge. Quantitative results showed that a small number of variables have a significant influence in the pre-implementation stage. Fourteen out of the sixteen included articles did not use an existing technology acceptance framework or model. CONCLUSIONS: Acceptance of technology in the pre-implementation stage is influenced by multiple factors. However, post-implementation research on technology acceptance by community-dwelling older adults is scarce and most of the factors in this review have not been tested by using quantitative methods. Further research is needed to determine if and how the factors in this review are interrelated, and how they relate to existing models of technology acceptance.
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“Some older adults will perceive a technology as being more relevant for other elderly people with more extensive functional impairments56 and be less motivated to use it themselves.”
From Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: a systematic literature review (2018) · cites this paper as [56]
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“Engaging older adults in a preimplementation study thus risks obtaining a “prototypical result,” according to Peek et al (2014).56”
From Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: a systematic literature review (2018) · cites this paper as [56]
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“This is in line with Peek et al (2014, p. 242), who found that a perceived personal need for technology was the most frequent factor mentioned for technology use and acceptance.56”
From Usability and acceptability of technology for community-dwelling older adults with mild cognitive impairment and dementia: a systematic literature review (2018) · cites this paper as [56]
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Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 20,559
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756
Revisiting the Behavioral Model and Access to Medical Care: Does it Matter?
Andersen, R. M. (1995) · Journal of Health and Social Behavior · doi:10.2307/2137284 · Cited by 9,831
Methods for the thematic synthesis of qualitative research in systematic reviews
Thomas, J., & Harden, A. (2008) · BMC Medical Research Methodology · doi:10.1186/1471-2288-8-45 · Cited by 9,312
Why do people use information technology? A critical review of the technology acceptance model
Legris, P., Ingham, J., & Collerette, P. (2003) · Information & Management · doi:10.1016/s0378-7206(01)00143-4 · Cited by 4,250
Karahanna, E., Straub, D. W., & Chervany, N. L. (1999) · MIS Quarterly · doi:10.2307/249751 · Cited by 3,833
A meta-analysis of the technology acceptance model
King, W. R., & He, J. (2006) · Information & Management · doi:10.1016/j.im.2006.05.003 · Cited by 2,906
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Chaurasia, P., McClean, S. I., Nugent, C., Cleland, I., Zhang, S., Donnelly, M. P., Scotney, B. W., Sanders, C., Smith, K. R., Norton, M. C., et al. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-48799-1_12 · Cited by 4
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Rodríguez, I., Fuentes, C., Herskovic, V., & Pino, J. A. (2017) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2017.444 · Cited by 4
Schomakers, E.-M., Offermann, J., & Ziefle, M. (2019) · Communications in computer and information science · doi:10.1007/978-3-030-15736-4_2 · Cited by 4
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Reddy, R., & Reddy, S. (2019) · IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) · doi:10.1109/ice.2019.8792628 · Cited by 4
Teles, S., de Sousa, R. T., Abrantes, D., Bertel, D., Ferreira, A., & Paúl, C. (2019) · Journal of Reliable Intelligent Environments · doi:10.1007/s40860-019-00090-1 · Cited by 4
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Rosell, J., & Verges, A. J. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-50232-4_21 · Cited by 4
Haslwanter, J. D. H., Takacs, C., & Gaisch, M. (2022) · Informatics · doi:10.3390/informatics9030052 · Cited by 5
Marqués‐Sulé, E., Sempere‐Rubio, N., Esparcia-Sánchez, S., Deka, P., Sentandreu‐Mañó, T., González, J. L. S., Klompstra, L. V., & Moreno‐Segura, N. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192013130 · Cited by 4
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Seo, E., & Yang, W. (2023) · Buildings · doi:10.3390/buildings13010263 · Cited by 4
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RetractedRollandi, I., Banerjee, S., Qiu, Y., Fiallo, O., Abramson, T. A., Berman, J., Solomonov, N., & Sirey, J. A. (2023) · Psychotherapy Research · doi:10.1080/10503307.2023.2292743 · Cited by 4
Bechtold, U., Stauder, N., & Fieder, M. (2024) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph21050628 · Cited by 4
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Maher, C. A., Dankiw, K. A., Singh, B., Bogomolova, S., & Curtis, R. (2024) · Future Internet · doi:10.3390/fi16060197 · Cited by 4
Lim, W. M., Teh, P., Ahmed, P. K., Chan, A. H. S., Cheong, S.-N., & Yap, W.-J. (2016) · IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) · doi:10.1109/ieem.2016.7797824 · Cited by 4
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Offermann, J., Gohr, S., Himmel, S., & Ziefle, M. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-22012-9_19 · Cited by 4
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Buttiġieġ, S. C., & van Hoof, J. (2017) · International Journal of Health Policy and Management · doi:10.15171/ijhpm.2017.75 · Cited by 4
Boerenfjn, P. (2018) · Gerontechnology · doi:10.4017/gt.2017.16.4.005.00 · Cited by 4
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LaFave, S. E., Szanton, S. L., & Gitlin, L. N. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-815970-5.00021-8 · Cited by 4
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Claybaugh, C. C., Haried, P., & Yu, W. (2015) · International Journal of Human Capital and Information Technology Professionals · doi:10.4018/ijhcitp.2015100105 · Cited by 4
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Huygens, M. (2018) · Research Publications (Maastricht University) · doi:10.26481/dis.20180111mh · Cited by 5
Hjelte, J., & Lindberg, J. (2025) · Journal of Technology in Human Services · doi:10.1080/15228835.2024.2447698 · Cited by 3
Backes, C., Godot, C., Gujer, C. Y., Obegi, N., Perez, A., Gervaix, A., & Schneider, M. P. (2025) · Digital Health · doi:10.1177/20552076241313164 · Cited by 3
Simbrig, I., Vigl, S., & Bernhart, J. (2025) · Educational Gerontology · doi:10.1080/03601277.2025.2453188 · Cited by 5
Parsons, K., Payne, S., Bhaska, L., Wallace, J., & Holt, N. (2025) · Psychology of Sport And Exercise · doi:10.1016/j.psychsport.2025.102867 · Cited by 3
Tang, Y., Deng, X., Chen, C., You, L., Gong, J., Liu, X., & Zhou, J. (2025) · BMC Geriatrics · doi:10.1186/s12877-025-06106-1 · Cited by 3
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Shi, Y., Cheung, M.-C., Ruan, Y.-X., Zhang, Z., Han, Z., Liu, X., Che, R., Kodate, N., Donnelly, S., Yu, W., et al. (2026) · Innovation in Aging · doi:10.1093/geroni/igag014 · Cited by 3
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Wouters, E. (2016) · Springer eBooks · doi:10.1007/978-3-319-01583-5_48 · Cited by 3
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Wouters, E., Nieboer, M. E., Nieboer, K. A., Moonen, M. J. G. A., Peek, S. T. M., Sponselee, A.-M. A.-M. G., van Hoof, J., van der Voort, C. S., & Luijkx, K. G. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-58530-7_37 · Cited by 3
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Um, S., Shin, H., Kim, Y., Branellec, G., & Lee, J. (2022) · Innovations · doi:10.3917/inno.067.0195 · Cited by 2
Asiamah, N., Danquah, E., Sghaier, S., Mensah, H. K., & Kouveliotis, K. (2023) · Springer eBooks · doi:10.1007/978-3-031-41594-4_9 · Cited by 3
Astiti, P. J., Parwati, N. N., Tegeh, I. M., & Sudarma, I. K. (2024) · Journal of Education Technology · doi:10.23887/jet.v8i1.73411 · Cited by 3
Leung, W. K. C., Lam, S. C., Sum, R. K. W., Yang, Y., Chan, C. L., Chow, J. N. L., Wong, Y., Cheung, J., Shum, E. W. C., Yip, A. W. K., et al. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-092089 · Cited by 3
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van Iterson, H. V., Liang, R.-H., & Markopoulos, P. (2025) · International Conference on Tangible, Embedded, and Embodied Interaction · doi:10.1145/3689050.3706003 · Cited by 4
Sharpe, B. T., King, R., Banerjee, M., Keates, S., Tyndall, I. T., Kooner-Evans, P., Sivyer, L. R., Cotten, E. L., Obine, E. A. C., Tabet, N., et al. (2025) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2025.2511996 · Cited by 3
Pan, L., & Hu, X. (2025) · Sustainability · doi:10.3390/su17188305 · Cited by 5
Factors influencing the baby boomers’ intention to use domotics to live independently for longer
Westdorp, J. (2015) · Cited by 3
Insufficient Behavioral Change Skill Hampers Adoption of Ehealth Services
Vollenbroek-Hutten, M. M. R., Goolkate, T., Lankheet, M., Hegeman, J. H., Laverman, G. D., & van Beijum, B.-J. (2018) · International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE) · doi:10.5220/0006675501190125 · Cited by 4
Geriatric Engineering: An Engineering Systems Design Approach to Human Aging
Lubliner, D. J. (2020) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16906 · Cited by 3
Pickering, J., Crooks, V. A., Snyder, J., & Milner, T. (2022) · Health & Social Care in the Community · doi:10.1111/hsc.13781 · Cited by 4
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Chandran, D. R. (2022) · Advances in Alzheimer s Disease · doi:10.4236/aad.2022.114005 · Cited by 3
Research on the Elderly User Assisted Experience Based on Digital Twin Remote Collaboration System
Zhao, Y., Mao, M., Wang, Y., & Hu, G. (2023) · Frontiers in artificial intelligence and applications · doi:10.3233/faia220717 · Cited by 4
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Jahan, A. M., Guitard, P., & Jutai, J. W. (2024) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2024.2320723 · Cited by 3
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Zeleke, S. N., & Bochicchio, M. A. (2024) · Lecture notes in bioengineering · doi:10.1007/978-3-031-63913-5_11 · Cited by 3
Redlich, M.-C., Nordmann, K., Rabbani, S., Schaller, M., & Fischer, F. (2025) · Springer eBooks · doi:10.1007/978-3-030-68127-2_457-1 · Cited by 3
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Lin, C. J.-Y., & Chen, C. (2025) · Sustainability · doi:10.3390/su17072992 · Cited by 3
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Milovich, M., & Burleson, D. (2018) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2018.416 · Cited by 3
Balog, A., Băjenaru, L., Cristescu, I., & Herghelegiu, A. M. (2020) · E-Health and Bioengineering Conference (EHB) · doi:10.1109/ehb50910.2020.9280174 · Cited by 3
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Guidry, N. C., Vogtle, L. K., Barstow, E. A., & Jordan, K. W. (2022) · Occupational Therapy In Health Care · doi:10.1080/07380577.2022.2033378 · Cited by 4
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Chung, J. (2015) · Springer eBooks · doi:10.1007/978-3-319-01904-8_58-1 · Cited by 3
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Zerth, J. (2020) · Springer eBooks · doi:10.1007/978-3-658-28643-9_31 · Cited by 3
Larsson, E., Fahlström, G., Bertilsson, G., & Fristedt, S. (2020) · Gerontechnology · doi:10.4017/gt.2020.19.003.02 · Cited by 3
Mézière, A., Oubaya, N., Michel-Pellegrino, V., Boudin, B., Neau, M., Robert, H., Cara, I., Salgado-Sanchez, L., Baloul, S., Piette, F., et al. (2021) · Journal of Geriatric Physical Therapy · doi:10.1519/jpt.0000000000000287 · Cited by 3
Alam, C. N., Putra, S. J., Subaeki, B., Rahman, A. B. A., Rahman, T. K. A., & Suryana, Y. (2019) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1402/2/022086 · Cited by 3
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Rodakowski, J. L., Mroz, T. M., Ciro, C., Lysack, C. L., Womack, J. L., Chippendale, T. L., Cutchin, M. P., Fritz, H., Fields, B., Niemiec, S. L. S., et al. (2021) · OTJR Occupational Therapy Journal of Research · doi:10.1177/15394492211022271 · Cited by 3
Successful Implementation of Technological Innovations in Health Care Organizations
Wouters, E., Weijers, T. C. M., & Finch, T. L. (2015) · Springer eBooks · doi:10.1007/978-3-319-01904-8_68-1 · Cited by 3
Self-citationTelehealth Factors for Predicting Hospital Length of Stay
Murphy, M. M. (2018) · Journal of Gerontological Nursing · doi:10.3928/00989134-20180305-01 · Cited by 3
Berge, M. S. (2021) · Perspectives in nursing management and care for older adults · doi:10.1007/978-3-030-40075-0_14 · Cited by 3
Butt, S. A., Suran, S., Pappel, I., Weck, M., & Draheim, D. (2023) · doi:10.36227/techrxiv.24213168 · Cited by 3
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McGrath, C., Galos, Y., Bassey, E., & Chung, B. (2024) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2024.2353860 · Cited by 2
Emotional needs for smart products: a case study of older people living alone in Chengdu, China
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Sames, K. M., & Hutson, J. (2025) · Sage open aging · doi:10.1177/30495334251326263 · Cited by 3
Koh, W. Q., Ludlow, K., Liddle, J., & Pachana, N. A. (2025) · JMIR Aging · doi:10.2196/75019 · Cited by 2
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Goodarzi, F., Barati, M., Rahbar, S., Ayubi, E., Cheraghi, P., & Bashirian, S. (2025) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2025.2579038 · Cited by 2
Schwedler, K.-J., Ostermann, T., Ehlers, J. P., & Hohenberg, G. (2025) · Healthcare · doi:10.3390/healthcare13233159 · Cited by 2
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Hernandez, Y. M., Moyo, G. S., & Desmond, D. M. (2025) · Assistive Technology · doi:10.1080/10400435.2025.2591838 · Cited by 2
Valentim, P., de Arriaga, M. T., Nogueira, P., & da Costa, A. C. J. S. (2025) · Healthcare · doi:10.3390/healthcare13243227 · Cited by 2
Yau, Y., & Shen, Y. C. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1666755 · Cited by 2
Agboji, A., Freeman, S., Banner, D., Armstrong, J. J., Martin‐Khan, M., & Freeman-Idemilih, A. (2025) · Geriatrics · doi:10.3390/geriatrics11010001 · Cited by 2
Brauner, P., Offermann, J., & Ziefle, M. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1715810 · Cited by 3
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Cao, Y., Yang, X., Luo, S., & Wong, K. (2026) · Scientific Reports · doi:10.1038/s41598-026-37657-x · Cited by 2
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Gao, B., Zeng, Z., Yu, Y., Werry, I. P., Chan, C. L., Chen, M., Zhang, H., Huang, B., Ji, J., Leung, C., et al. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791422 · Cited by 2
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Santos, F. D. S., Salgado, A. D. L., & Fortes, R. P. D. M. (2018) · iSys - Brazilian Journal of Information Systems · doi:10.5753/isys.2018.364 · Cited by 2
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Metadata
- Authors
- Peek, S. T. M., Wouters, E. J. M., van Hoof, J., Luijkx, K. G., Boeije, H. R., & Vrijhoef, H. J. M.
- Affiliations
- Tilburg University (NL)
- Fontys University of Applied Sciences (NL)
- Utrecht University (NL)
- National University of Singapore (SG)
- Corresponding author
- Peek, Sebastiaan T.M.
- ORCID
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2014-04
- Volume
- 83
- Issue
- 4
- Pages
- 235-248
- ISSN
- 1386-5056 (ISSN-L)
- OpenAlex
- W2105499459
- Cited by
- 1,206
- References
- 69
- Citations by year
- 2026: 159 · 2025: 117 · 2024: 95 · 2023: 120 · 2022: 105 · 2021: 120 · 2020: 129 · 2019: 91 · 2018: 103 · 2017: 70 · 2016: 53 · 2015: 32 · 2014: 10
- FWCI
- 19.10
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- International Journal of Medical Informatics (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Utrecht University Repository (Utrecht University) (acceptedVersion)
- Research portal (Tilburg University) (submittedVersion, cc-by-nc-nd)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by-nc-nd)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by-nc-nd)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Funders
- Dutch Ministry of Education, Culture and Science (OCW) (PRO-3-37)
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Keywords
- technology acceptance, aging in place, community-dwelling older adults, electronic health technology, perceived usefulness, perceived ease of use, privacy concerns, usability, social influence, family caregivers, safety technology, technology adoption
- MeSH terms
- Adult, Aged, Attitude to Computers, Health Services Needs and Demand, Humans, Patient Acceptance of Health Care, Technology Assessment, Biomedical, Independent Living
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