Evidence map›Paper›PMID 40949598›Full record

ArticleRisk management and healthcare policy2025

Online Health Information Seeking: Implications for Self-Management in Hypertension.

Shiya Liu, Sufang Huang, Yaru Xiao, Jingjing Huang

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Application effects of information-based health management combined with knowledge-attitude-practice health education model in hypertensive patients.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
    Trial
  2. Article
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

4 authors.

Shiya LiuDepartment of Emergency Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.ORCID 0009-0005-1053-3788
Sufang HuangDepartment of Emergency Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.ORCID 0000-0003-4071-8597
Yaru XiaoDepartment of Emergency Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Jingjing HuangDepartment of Emergency Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertension, a major cardiovascular disease risk factor, is a global public health challenge. Self-management is key, and with information and communication technology prevalence, online health information seeking behavior (OHISB) has become a common trend to boost patients' self-management. Purpose: This study aims to explore hypertensive patients' OHISB and their impact on self-management practices, providing a basis for further improving patients' OHISB and self-management behaviors. Patients and Methods: This study selected 312 hypertensive patients from the Cardiology Department of a Wuhan tertiary hospital (March-April 2025), using a general information questionnaire, revised version of the Online Health seeking behavior Scale (OHB-S) and the Hypertension Patients Self-Management Behavior Rating Scale (HPSMBRS) for surveys. SPSS 26.0 did descriptive analysis of enumeration/measurement data; Results: The total scores of OHISB and self-management were (55.20±14.29) and (96.54±16.62) respectively in the patients. The total scores of OHISB and self-management were significantly positively correlated (r=0.634, P<0.05). The results of hierarchical regression analysis show that OHISB is an important influencing factor of self-management and can independently explain 21.2% of the variation in patients' self-management. Conclusion: Both the OHISB and self-management behaviors of hypertensive patients are at a relatively low level. OHISB is an important influencing factor of self-management. Hypertensive patients with a higher level of OHISB have a higher level of self-management. In the future, information sources should be carefully controlled, and a variety of online health information channels should be combined to provide targeted online hypertension health education, thereby enhancing the self-management capabilities of hypertension patients.

Indexed as

hypertensiononline health information seeking behaviorself-management

Identifiers

PMID40949598
PMCPMC12433230

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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.