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How do women, men, and health providers perceive interventions to influence men's engagement in maternal and newborn health? A qualitative evidence synthesis

2021· review· en· W3206167688 on OpenAlexaff
Liz Comrie‐Thomson, Prerna Gopal, Katherine E. Eddy, Adama Baguiya, Nina Gerlach, Caroline Sauvé, Anayda Portela

Bibliographic record

VenueSocial Science & Medicine · 2021
Typereview
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersBurnet InstituteWorld Health OrganizationState Government of VictoriaUnited States Agency for International Development
KeywordsPsychological interventionQualitative researchMedicineHealth careNursingGerontologyPsychologySociologyEconomic growth

Abstract

fetched live from OpenAlex

Globally, there is growing awareness of the important contributions men can make as key stakeholders in maternal and newborn health (MNH), and increased investment in interventions designed to influence men's engagement to improve MNH outcomes. Interventions typically target men, women, couples or health providers, yet how these stakeholders perceive and experience interventions is not well understood and the fact that women may experience these interventions as disempowering has been identified as a major concern. This review aims to synthesise how women, men, and providers perceive and experience interventions designed to influence men's engagement in MNH, in order to identify perceived benefits and risks of participating in interventions, and other key factors affecting uptake of and adherence to interventions. We conducted a qualitative evidence synthesis based on a systematic search of the literature, analysing a purposive sample of 66 out of 144 included studies to enable rich synthesis. Women, men and providers report that interventions enable more and better care for women, newborns and men, and strengthen family relationships between the newborn, father and mother. At the same time, stakeholders report that poorly designed or implemented interventions carry risks of harm, including constraining some women's access to MNH services and compounding negative impacts of existing gender inequalities. Limited health system capacity to deliver men-friendly MNH services, and pervasive gender inequality, can limit the accessibility and acceptability of interventions. Sociodemographic factors, household needs, and peer networks can influence how men choose to support MNH, and may affect demand for and adherence to interventions. Overall, perceived benefits of interventions designed to influence men's engagement in MNH are compelling, reported risks of harm are likely manageable through careful implementation, and there is clear evidence of demand from women and men, and some providers, for increased opportunities and support for men to engage in MNH.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.101
metaresearch head score (Gemma)0.132
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.101
Threshold uncertainty score0.534

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1010.132
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0080.009
Science and technology studies0.0040.005
Scholarly communication0.0070.007
Open science0.0030.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.276
GPT teacher head0.538
Teacher spread0.262 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations36
Published2021
Admission routes1
Has abstractyes

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