Evidence map›Paper›PMID 42454306›Full record

ArticleFrontiers in public health2026

Experience of older adults using smart devices and mHealth apps for proactive health: a descriptive qualitative study based on the technology acceptance model.

Huafang Li, Chunlan Liu, Qian Zhang, Chengjing Yang, Xiaorong Hu, Xiangying Yang

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
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

6 authors.

Huafang LiThe Geriatrics Department of Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Chunlan LiuThe Geriatrics Department of Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Qian ZhangThe Geriatrics Department of Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Chengjing YangThe Geriatrics Department of Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Xiaorong HuThe Geriatrics Department of Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.
Xiangying YangThe Geriatrics Department of Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to explore older adults' experiences of using smart devices and mHealth apps for proactive health and identify the key factors affecting their adoption and sustained engagement. Methods: The current study utilized descriptive qualitative research methodology, adopting the Technology Acceptance Model (TAM) as the theoretical framework. Purposive sampling was used to recruit older adults from a tertiary Grade A general hospital in Hangzhou. Data were collected through semi-structured interviews and analyzed using directed content analysis. Results: A total of 20 older adults in Hangzhou were interviewed for the study. Analyses yielded two themes and eight sub-themes: perceived usefulness (enhanced health awareness and self-efficacy, real-time health data monitoring and early warning, accuracy and reliability of information and convenient communication with medical professionals), and perceived ease of use (interface simplicity and operability, learning cost and learning support, privacy concerns and information security, and technical support and experience sharing). Conclusion: This descriptive qualitative study explores older adults' experiences of using smart devices and mHealth apps for proactive health, highlighting that perceived usefulness and ease of use are key determinants of their technology adoption and sustained engagement. Future digital health tool development should align with research on older adults' user experiences to ensure these technologies' universality and applicability.

Indexed as

Mobile ApplicationsPatient Acceptance of Health CareTelemedicineAgedAged, 80 and overAttitude to ComputersChinaDigital HealthFemaleHumansInterviews as TopicMaleMiddle AgedQualitative Researcholder peopleproactive healthqualitative researchsmart devicetechnology acceptance model

Identifiers

PMID42454306
PMCPMC13365344

What Socratic holds

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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 Socratic graph.