Evidence map›Paper›PMID 42275188›Full record

ArticleJournal of medical Internet research2026

Experiences of Home-Dwelling Older Adults and Their Family Caregivers With Digital Health Services: Qualitative Study.

JiaYi Ruan, CuiXia Guan, QingQing Chen, Ting Yao, Yun Liu, YuXia Zhang, LunFang Xie

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2026. 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
0cells of the map it votes in
0citing 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

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.

JiaYi Ruan *School of Nursing, Anhui Medical University, No. 81 Meishan Road, Hefei, AnHui, China, 86 13856958216.ORCID http://orcid.org/0009-0007-9960-3184
CuiXia Guan *School of Nursing, Anhui Medical University, No. 81 Meishan Road, Hefei, AnHui, China, 86 13856958216.ORCID http://orcid.org/0009-0009-5771-5211
QingQing Chen *School of Nursing, Anhui Medical University, No. 81 Meishan Road, Hefei, AnHui, China, 86 13856958216.ORCID http://orcid.org/0009-0000-6860-348X
Ting YaoSchool of Nursing, Anhui Medical University, No. 81 Meishan Road, Hefei, AnHui, China, 86 13856958216.ORCID http://orcid.org/0000-0002-6267-5500
Yun LiuSchool of Nursing, Anhui Medical University, No. 81 Meishan Road, Hefei, AnHui, China, 86 13856958216.ORCID http://orcid.org/0009-0003-7847-8266
YuXia ZhangSchool of Nursing, Anhui Medical University, No. 81 Meishan Road, Hefei, AnHui, China, 86 13856958216.ORCID http://orcid.org/0009-0007-9184-6173
LunFang XieSchool of Nursing, Anhui Medical University, No. 81 Meishan Road, Hefei, AnHui, China, 86 13856958216.ORCID http://orcid.org/0009-0003-5551-421X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As the population ages, demand for health services among older adults and caregivers increases. Digital health services help meet this demand. However, acceptance and experiences differ between older adults and caregivers. Objective: This study aims to explore the specific experiences of home-dwelling older adults and their caregivers with digital health services, identify their willingness to use these services and the factors influencing their adoption, and identify their service needs to inform the subsequent design and optimization of digital health products and services. Methods: From December 2023 to February 2024, a descriptive qualitative study was conducted. Researchers used purposive and maximum variation sampling to recruit 18 home-dwelling older adults and 17 family caregivers, including 10 matched dyads. Participants came from 7 community health service centers and a tertiary hospital in Hefei, China. Open-ended, semistructured, face-to-face interviews were conducted separately. Data were analyzed using conventional content analysis. Results: Four main themes emerged. The first were the application characteristics, including usage situations and preferred functions. The second theme described specific service experiences, both positive and negative. The third was the influencing factors. Promoting factors included health needs, user experience, and subjective norms. Obstructive factors differed between groups and included low digital literacy, weak economic foundation, service security concerns, and lack of time. The fourth theme covered suggestions and expectations for improvement. Older adults appreciated the advantages but often had suboptimal experiences due to complex designs and threats to personal dignity. Conversely, caregivers valued efficiency but reported low use, hindered by time constraints and concerns about privacy and safety. Conclusions: This study reveals a critical gap between the potential and actual use of digital health services. Older adults face barriers with usability and digital literacy. Caregivers struggle to integrate these services and have trust issues. Future optimization requires action at several levels. Government support is needed through policies, authoritative platforms, and subsidies. Service providers should offer age-friendly, personalized design, and continuous support. Social support systems are also essential, such as digital reciprocity from family and peer help. These strategies are critical for enhancing user experience, bridging the digital divide, and enabling both older adults and their caregivers to fully benefit from digital health technologies.

Indexed as

CaregiversIndependent LivingAgedAged, 80 and overAging in PlaceChinaDigital HealthDigital MediaFemaleHumansMaleMiddle AgedQualitative Researchcaregiverdigital health servicehealth literacyolder adultsqualitative studyuser experience

Identifiers

PMID42275188
PMCPMC13255930

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.