Evidence map›Paper›PMID 41509868›Full record

ArticleDigital health

Determinants of mHealth adoption for sexual and reproductive health services among university students in Ghana: A UTAUT and health belief model analysis.

Abigail Gyebi Nimo, Richard Abeiku Bonney, Labaran Musah

Abstract read
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Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Abigail Gyebi NimoSeventh-Day Adventist Hospital, Kwadaso, Ghana.
Richard Abeiku BonneySchool of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID https://orcid.org/0000-0002-9352-9928
Labaran MusahKomfo Anokye Teaching Hospital Cardiology Unit, Kumasi, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Sexual and reproductive health (SRH) services remain inaccessible for many young adults in low-resource settings. Mobile health (mHealth) technologies present an innovative solution, yet adoption rates among university students in sub-Saharan Africa are poorly characterized. This study investigated the knowledge, utilization patterns, and key determinants of mHealth adoption for SRH services among Ghanaian university students using established behavioral frameworks. Methods: We conducted a cross-sectional study of 390 undergraduates at Kwame Nkrumah University of Science and Technology, selected through multistage sampling across six residence halls. A validated questionnaire, incorporating constructs from the Unified Theory of Acceptance and Use of Technology and Health Belief Model, assessed: (1) mHealth knowledge, (2) SRH service utilization, and (3) psychosocial determinants of adoption. Confirmatory factor analysis validated measurement scales, while hierarchical regression analyzed predictors across three models (demographic, behavioral, and interaction terms). Results: The study revealed three key findings: First, while 73.8% of respondents demonstrated mHealth awareness, actual usage for SRH remained low (mean = 3.40/7, Conclusions: This study highlights a critical gap between awareness and actual use of mHealth for SRH among Ghanaian university students. It identifies key barriers-such as perceived usefulness, privacy concerns, and behavioral resistance-and reveals how sociocultural norms influence youth engagement with digital health tools. The findings underscore the need for culturally sensitive, trust-based mHealth initiatives that strengthen digital literacy and promote behavioral change. Such approaches could enhance youth-focused mHealth strategies in Ghana and offer valuable lessons for similar contexts across sub-Saharan Africa.

Indexed as

behavioral determinantsGhanahealth technology adoptionMobile healthsexual and reproductive health

Identifiers

PMID41509868
PMCPMC12775303

What OpenQuestion holds

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LicenceCC BY-NC
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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.