Evidence map›Paper›PMID 42912963›Full record

ArticleOnline journal of public health informatics2026

A Health Belief Model Approach to Determining Psychological Predictors of Behavioral Intention to Seek Health Information on Social Media: Quantitative Descriptive Study.

Sivile Manene, Liezel Cilliers

Abstract read
In one paragraph

Article in Online journal of public health informatics, 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

2 authors.

Sivile ManeneDepartment of Information Systems, Faculty of Management and Commerce, University of Fort Hare, East London, Eastern Cape, South Africa.ORCID http://orcid.org/0000-0001-6194-0010
Liezel CilliersDepartment of Public Health, Faculty of Health Sciences, University of Fort Hare, 50 Church Street, East London, Eastern Cape, 5201, South Africa, 27 0835184009.ORCID http://orcid.org/0000-0001-9493-4311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The increasing use of social media as a source of health information has highlighted the need to understand the psychological factors influencing individuals' intentions to seek health-related information online, particularly within the South African context. Objective: This study aimed to determine the psychological predictors of behavioral intention (BI) to seek health information on social media within a developing South African context. Methods: Adopting a positivist quantitative approach, data were collected from 214 social media users aged 18 to 35 years using a nonprobability convenience sample and analyzed through structural equation modeling using IBM SPSS and SmartPLS. Results: The findings from the sample of 214 young adults showed that perceived susceptibility (β=0.189; Conclusions: Based on these insights, the psychological predictors of BI to seek health information on social media within a South African context are proposed to support users in identifying and managing misinformation, offering practical implications for risk communication strategies and public health interventions.

Indexed as

COVID-19misinformationpsychological indicatorsrisk communicationsocial media

Identifiers

PMID42912963
PMCPMC13690338

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.