Evidence map›Paper›PMID 41022925›Full record

ArticleScientific reports2025

Determinants of health information seeking behavior among people at risk of statelessness in Ghana.

Theophilus Quartey, Charles Peprah, Anthony Kwame Morgan

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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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

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.

Theophilus QuarteyDepartment of Planning, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Charles PeprahDepartment of Planning, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Anthony Kwame MorganDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong. 24049064r@connect.polyu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health Information Seeking Behavior [HISB] has developed into one of the crucial components of a person's awareness and responsibility for their health. However, populations at risk of statelessness are often excluded from opportunities and services, particularly those related to health. Using Longo's Model and the Health Belief Model [HBM], this study investigated their HISB and associated determinants, with emphasis on the individual's socio-demographic, psychosocial and health belief factors. The study's data came from a cross-sectional household survey undertaken in the Awutu Senya East Municipality and Gomoa East District of Ghana's Central Region between March 9 and June 26, 2021. Descriptive statistics and binary logistic regression models helped establish the prevalence and predictors of HISB from a sample of 384 at-risk individuals. Prevalence of health information seeking [HIS] was nearly 44% and associated with sex, age, level of education, and internet literacy. Additionally, various constructs of psychosocial resources [self-esteem and trust in health information] and health beliefs [perceived severity, benefits, and perceived barriers] were associated with HIS within our sample. To improve positive HISB, healthcare providers and health promoters must tailor health information to different socio-demographic groups, focus on building trust and rapport with patients, offer social support, and address psychosocial barriers to HIS. Finally, providing accurate and relevant health information must be prioritised.

Indexed as

Health BehaviorInformation Seeking BehaviorAdolescentAdultAgedCross-Sectional StudiesFemaleGhanaHealth Belief ModelHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedSocioeconomic FactorsSurveys and QuestionnairesYoung AdultHealth information-seeking behaviorPeople at risk of statelessnessSocial determinants of healthSocial inclusionVulnerable populations

Identifiers

PMID41022925
PMCPMC12480864

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.