Volume 11, Issue 2 (9-2026)
cjhaa 2026, 11(2): 28-0 |
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Darvishpour A, Afshari Nasab F. A review of attitudes towards integrating artificial intelligence into older adult care. , cjhaa. 2026; 11 (2) : 3
URL: http://cjhaa.mubabol.ac.ir/article-1-252-en.html
URL: http://cjhaa.mubabol.ac.ir/article-1-252-en.html
Guilan University of Medical Sciences
Abstract: (27 Views)
Background and Objective: The rapid advancement of artificial intelligence (AI) has created unprecedented opportunities to improve the quality of elderly care. However, the successful implementation of AI depends on its acceptance by and the attitudes of key stakeholders, including nurses and older adults. The aim of this study was to systematically review the available evidence on attitudes toward the integration of AI into elderly care from the perspectives of nurses and older adults.
Methods: This systematic review was conducted by searching PubMed, Scopus, Web of Science, and Google Scholar for articles published between 2015 and 2025. All relevant qualitative, quantitative, and mixed-methods studies available in full text free of charge were included. Letters to the editor, conference abstracts, and abstracts presented at conferences and seminars were excluded. Data were analyzed using a directed qualitative content analysis approach.
Findings: Of the 763 articles identified, 21 studies were included in the final analysis. Four main categories emerged from the analysis: (1) general attitudes toward and perceptions of AI; (2) users’ lived experiences with AI technologies; (3) perceived applications of AI in elderly care; and (4) ethical and practical challenges, concerns, and barriers to implementation.
Conclusion: The findings indicate that AI has considerable potential to improve the quality of elderly care, reduce nurses’ workloads, and enhance the safety and independence of older adults. However, acceptance of this technology depends on several factors, including users’ attitudes and lived experiences, trust in the technology, digital literacy, and organizational support.
Methods: This systematic review was conducted by searching PubMed, Scopus, Web of Science, and Google Scholar for articles published between 2015 and 2025. All relevant qualitative, quantitative, and mixed-methods studies available in full text free of charge were included. Letters to the editor, conference abstracts, and abstracts presented at conferences and seminars were excluded. Data were analyzed using a directed qualitative content analysis approach.
Findings: Of the 763 articles identified, 21 studies were included in the final analysis. Four main categories emerged from the analysis: (1) general attitudes toward and perceptions of AI; (2) users’ lived experiences with AI technologies; (3) perceived applications of AI in elderly care; and (4) ethical and practical challenges, concerns, and barriers to implementation.
Conclusion: The findings indicate that AI has considerable potential to improve the quality of elderly care, reduce nurses’ workloads, and enhance the safety and independence of older adults. However, acceptance of this technology depends on several factors, including users’ attitudes and lived experiences, trust in the technology, digital literacy, and organizational support.
Article number: 3
Type of Study: Applicable |
Subject:
Special
Received: 2026/01/31 | Accepted: 2026/10/18 | Published: 2026/11/14
Received: 2026/01/31 | Accepted: 2026/10/18 | Published: 2026/11/14
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