Evidence map›Paper›PMID 42255169›Full record

ArticleDigital health

Online health information seeking, healthcare utilization, and exercise-related self-management among patients with long-term conditions in China during COVID-19.

Yifan Jiang, Jinghua Zhang, Jianwei Wu

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

3 authors.

Yifan JiangSchool of Business, Macau University of Science and Technology, Macao, China.ORCID https://orcid.org/0009-0002-4310-2069
Jinghua ZhangSchool of Business, Macau University of Science and Technology, Macao, China.ORCID https://orcid.org/0000-0001-8213-4536
Jianwei WuKiang Wu Nursing College of Macau, Macao, China.ORCID https://orcid.org/0000-0003-3881-0925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study explored the associations between online health information seeking (OHIS), healthcare utilization, and exercise-related self-management behaviors among adults in China during the COVID-19 pandemic, focusing on individuals with long-term conditions (LTCs). It was guided by the biopsychosocial model and the Information-Motivation-Behavioral Skills (IMB) model. Methods: A cross-sectional analysis used observational data from 1,831 respondents in the 2021 China General Social Survey (CGSS). OHIS was defined as the frequency of using the internet to obtain health or medical information in the past 12 months. Healthcare utilization was measured by the frequency of medical visits, including both traditional Chinese and Western medicine. Exercise-related self-management was represented by regular physical exercise. Multinomial logistic regression was applied while controlling for demographic, psychosocial, and health-related factors. Results: OHIS adopters reported on average more frequent medical visits and higher levels of physical exercise than non-adopters. Meanwhile, among individuals with LTCs, OHIS is associated with less frequent medical visits but a higher likelihood of physical exercise, suggesting a potential pathway linking OHIS to exercise-related self-management behavior. Conclusion: OHIS was positively associated with healthcare utilization and exercise-related self-management behaviors during a period of restricted healthcare access in China. These findings suggest that accessible and reliable online health information may complement patients' exercise-related self-management capacities in developing countries, offering insights for integrating digital health strategies into primary care and LTCs management.

Indexed as

COVID-19exercise-related self-managementhealthcare service utilizationlong-term conditionsmultinomial logit modelonline health information seeking

Identifiers

PMID42255169
PMCPMC13241689

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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.