Evidence map›Paper›PMID 40085841›Full record

ArticleJournal of medical Internet research2025

Associations Among Online Health Information Seeking Behavior, Online Health Information Perception, and Health Service Utilization: Cross-Sectional Study.

Hongmin Li, Dongxu Li, Min Zhai, Li Lin, ZhiHeng Cao

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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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

21 citing papers in PubMed.

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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

5 authors.

Hongmin LiSchool of Public Health, Jining Medical University, Jining, China.ORCID https://orcid.org/0000-0001-6857-1377
Dongxu LiSchool of Public Health, Jining Medical University, Jining, China.ORCID https://orcid.org/0009-0006-5515-5482
Min ZhaiSchool of Public Health, Jining Medical University, Jining, China.ORCID https://orcid.org/0000-0003-3037-0195
Li LinSchool of Public Health, Jining Medical University, Jining, China.ORCID https://orcid.org/0009-0002-8253-1990
ZhiHeng CaoRencheng District Center for Disease Control and Prevention, Jining, China.ORCID https://orcid.org/0009-0002-9341-2620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeeking online health information can empower individuals to better understand their health concerns, facilitating their ability to manage their health conditions more effectively. It has the potential to change the likelihood and frequency of health service usage. Although existing literature has demonstrated the prevalence of seeking online health information among different populations, the factors affecting online health information perception and discussions on the associations between seeking online health information and health service utilization are limited.

objectiveWe analyzed the associations between online health information seeking behavior and health service utilization, as well as the online health information perception delivery mechanism.

methodsWe analyzed data from the Chinese General Social Survey, the first national representative survey conducted in mainland China. The independent variable was the online health information seeking behavior. The outcome variable was health service utilization by the respondents, and online health information perception was selected as the mediating variable in this analysis. Factor analysis was conducted to obtain online health information perception. Multiple regressions were performed to investigate the effect of online health information seeking behavior on physician visits. Bootstrap methods were conducted to test the mediation effects of online health information perception.

resultsThis analysis included 1475 cases. Among the participants, 939 (63.66%) sought online health information in the last 12 months. The mean age of the respondents was 46.72 (SD 15.86) years, and 794 (53.83%) were females. After controlling for other variables, individuals with online health information seeking behaviors showed 0.289 times more outpatient visits (P=.003), 0.131 times more traditional Chinese medicine outpatient visits (P=.01), and 0.158 times more Western medicine outpatient visits (P=.007) over the past year compared to those who did not seek health information online. Additionally, multiple regression analyses revealed statistically significant effects of gender, age, and health status on physician visits. The total effect revealed that seeking online health information significantly influenced the total physician visits (β=0.290; P=.003), indicating a certain correlation between online health information seeking behavior and physician visits. Seeking online health information had a significant positive impact on the perception (β=0.265; P<.001). The mediation effects analysis identified that online health information perception led to a significant increase in physician visits with the increase in the online health information seeking behaviors (β=0.232; P=.02).

conclusionsThe online health information perception of an individual influences the effect online health information seeking has on the frequency of physician visits. The online health information seeking behavior impacts outpatient service utilization both directly and indirectly through online health information perception and significantly increases the frequency of clinic visits after controlling for other variables. Interventions can be explored to improve the health utilization of residents by increasing their online health information perception.

Indexed as

Consumer Health InformationHealth ServicesInformation Seeking BehaviorInternetAdolescentAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient Acceptance of Health CareSurveys and QuestionnairesYoung AdultChinaChinese General Social Survey (CGSS)datadatabasehealth informationhealth perceptionhealth service utilizationmediating effectmedical informationonline health information perception (OHIP)online health information seeking (OHIS)survey

Identifiers

PMID40085841
PMCPMC11953594

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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.