Evidence map›Paper›PMID 41948364›Full record

ArticleDigital health

How low-income adults in China perceive health and health management mobile applications.

Jie Chen, Kara Chan

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
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

2 authors.

Jie ChenSchool of Finance and Economics, Jiangsu University, China.
Kara ChanDepartment of Communication Studies, Hong Kong Baptist University, Hong Kong.ORCID https://orcid.org/0000-0001-9805-7299

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim/Objective: To examine the perceptions of low-income adults in suburban/rural China regarding health and health management mobile applications. Investigating barriers affecting their adoption of mobile health technology will facilitate better mobile intervention design, lower the medical burden on governments and society, and improve access to health knowledge for vulnerable groups. Methods: Semi-structured interviews were conducted with low-income adults aged 25-45 (eight women, eight men). The interviewees were asked about their perceptions of health, user experiences with wearables, and mobile health applications. Results: Interviewees lacked a clear understanding of mental health. Most stopped using wearables due to unpleasant experiences. Making medical appointments or consultations using mobile devices was common to save time and cost, but interviewees did not find devices for monitoring health useful. Interviewees used a variety of mobile applications for getting health information through active searching or by following specific health influencers. Conclusions: The adoption of digital and mobile technologies for health monitoring and management among the interviewed low-income adults in suburban/rural China is low. Most of the interviewees used multifunctional and content platforms for health information. Low perceived benefits of using mHealth technology hindered adoption. Some stopped using mobile health devices because of poor user experiences. Interviewees found difficulties in identifying genuine health products on popular content and e-commerce platforms. There is an unmet need to provide them with high-quality health knowledge.

Indexed as

digital divideHealth technologyqualitative studyuser experiencewearables

Identifiers

PMID41948364
PMCPMC13051120

What OpenQuestion 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 OpenQuestion graph.