Evidence map›Paper›PMID 41783287›Full record

ArticleDigital health

Perspectives of older adults and healthcare providers on digital technologies in reminiscence therapy: A qualitative study.

Haiqi Yang, Yongliang Jiao, Qiqing Zhong, Kexin Huang, Rendong He, Yong Jia, Li Chen

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Haiqi YangJilin University School of Nursing, Changchun, China.ORCID https://orcid.org/0009-0003-5103-792X
Yongliang JiaoJilin Sport University, Changchun, China.
Qiqing ZhongJilin University School of Nursing, Changchun, China.ORCID https://orcid.org/0009-0003-0129-9665
Kexin HuangJilin University School of Nursing, Changchun, China.
Rendong HeJilin University School of Nursing, Changchun, China.ORCID https://orcid.org/0009-0003-3255-6062
Yong JiaJilin University School of Nursing, Changchun, China.ORCID https://orcid.org/0000-0002-4201-6591
Li ChenJilin University School of Nursing, Changchun, China.ORCID https://orcid.org/0000-0001-9556-9053

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Global population ageing has heightened mental health concerns among older adults. Traditional reminiscence therapy (RT) is effective but faces limitations in accessibility and scalability due to its reliance on clinical settings and professional guidance. Digital technologies, including multimedia platforms, virtual reality, and social robots, offer promising alternatives. The purpose of this study is to explore the perceptions, attitudes, needs, and concerns of older adults and healthcare providers regarding digital reminiscence technology. Methods: A qualitative descriptive design was used, employing focus groups with 14 older adults from communities and nursing homes, and 10 healthcare providers from a tertiary hospital. Four focus groups were conducted between November and December 2024, following demonstrations of digital tools. Data were analyzed using conventional content analysis with NVivo 12. Results: The analysis revealed three major categories: Integration of reminiscence and digital tools; Enhancing accessibility and usability; Ethical and social considerations in digital reminiscence. Conclusion: Digital technologies can enrich RT by improving immersion and scalability, but challenges like affordability, usability, and ethical risks must be addressed. Findings from both older adults and healthcare providers in the Chinese cultural context highlight the need for affordable, simple, culturally sensitive, and ethically robust digital solutions, suggest that tailored strategies should be developed for family, community, and clinical settings to support the wellbeing of older adults.

Indexed as

Digital technologyhealth personnelmental recallqualitative researchreminiscence therapy

Identifiers

PMID41783287
PMCPMC12953960

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.