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Record W4416946977 · doi:10.1093/heapro/daaf207

‘She mustn’t be the mother alone’: motivators, barriers, and recommendations for men’s engagement with reproductive research in South Africa

2025· article· en· W4416946977 on OpenAlexfundno aff
Caitlin Victoria Gardiner, Tshepang Headman, Larske M. Soepnel, Jackson Mabasa, Sonja Klingberg, Molebogeng Motlhatlhedi, Michelle Pentecost, Catherine E. Draper, Lukhanyo H. Nyati

Bibliographic record

VenueHealth Promotion International · 2025
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchSouth African Medical Research CouncilKing's College LondonUK Research and Innovation
KeywordsReproductive healthFocus groupSociocultural evolutionQualitative researchPublic engagementTheme (computing)Community-based participatory research

Abstract

fetched live from OpenAlex

There is a notable lack of engagement in reproductive and lifecourse research with and from men, with a disproportionate focus on women. While studies investigating the lack of men's engagement with services exist, there is little evidence on their engagement with reproductive and lifecourse research. This article qualitatively examines men's engagement in such research in the Bukhali trial in South Africa. Single, in-depth interviews were conducted with 19 male partners of Bukhali participants, and data were thematically analysed. Results were grouped into three domains: (i) motivators for engagement, (ii) barriers to engagement, and (iii) recommendations to improve engagement. Motivators to engage included partner support, desiring to learn and gain knowledge, and taking the opportunity to access the same perceived trial benefits as their partner. Barriers included having misconceptions around the research, fear and mistrust of hospitals and illness, gendered ideas around 'women's health issues', hesitance around sharing personal details, and lack of time and perceived (financial) benefits. To increase engagement, male partners recommended increasing awareness and creating safe research spaces for men. Each theme was inflected with male partners' sociocultural and contextual realities and provided valuable insights into obstacles and opportunities for improving men's engagement in reproductive research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.859
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.107
GPT teacher head0.422
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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