Evidence map›Paper›PMID 41356606›Full record

ArticleJournal of aging research2025

Thai Older Persons' Digital Capacity and Application of Technology for Healthy Aging: A Mixed-Method Study.

Thet Htoo Pan, Myo Nyein Aung, Saiyud Moolphate, Thin Nyein Nyein Aung, Yuka Koyanagi, Carol Ma Hok Ka, Eun Woo Nam, Jan A G M van Dijk, Motoyuki Yuasa

Abstract read
In one paragraph

Article in Journal of aging research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Thet Htoo PanDepartment of Global Health Research, Graduate School of Medicine, Juntendo University, Tokyo, Japan.ORCID https://orcid.org/0009-0004-7774-4427
Myo Nyein AungDepartment of Global Health Research, Graduate School of Medicine, Juntendo University, Tokyo, Japan.ORCID https://orcid.org/0000-0001-8175-6309
Saiyud MoolphateDepartment of Public Health, Faculty of Science and Technology, Chiang Mai Rajabhat University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0001-5712-5996
Thin Nyein Nyein AungDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-8030-8026
Yuka KoyanagiDepartment of Judo Therapy, Faculty of Health Sciences, Tokyo Ariake University of Medical and Health Sciences, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5455-926X
Carol Ma Hok KaS R Nathan School of Human Development, Singapore University of Social Sciences, Singapore.ORCID https://orcid.org/0000-0002-9420-0112
Eun Woo NamDepartment of Health Administration, Software Digital Healthcare Convergence College, Yonsei University, Wonju, Republic of Korea.ORCID https://orcid.org/0000-0002-3517-6247
Jan A G M van DijkDepartment of Communication Science, University of Twente, Enschede 7500, the Netherlands.ORCID https://orcid.org/0000-0001-9739-3266
Motoyuki YuasaDepartment of Global Health Research, Graduate School of Medicine, Juntendo University, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2132-7275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Thailand has aged fast, becoming a superaging society. Simultaneously, ongoing rapid digital transformation puts older people at risk of being left behind. Research assessing the digital skills of older people and their application of digital technology for health is a literature gap. Method: This study is an explanatory-sequential design mixed-method study. Community survey of 500 community older adults in Northern Thailand applied London School of Economics and Political Science (LSE) digital skills instrument to measure "operational internet skills," "information navigation skills," "social skills," "creative skills," and "mobile skills" and perceived health and technology use for health promotion. Quantitatively, Kruskal-Wallis and Mann-Whitney Results: The mean age of the participants was 68.36 years, of which 69% were female. Ordinal logistic regression identified that higher "social skills" positively influenced self-rated health ( Conclusion: Therefore, it is urgent to enhance digital skills and internet use among older populations to promote healthy aging.

Indexed as

Asiacommunitydigital inclusionglobal healthhealthy aging

Identifiers

PMID41356606
PMCPMC12680461

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.