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Father's influence on breastfeeding continuity or interruption: meta-synthesis

2025· review· en· W4409383221 on OpenAlexaff
Willyane de Andrade Alvarenga, Thais Rayane da Conceição Gomes, C. Silva, Giovanna Cristina Conti Machado, Francine de Montigny, Adriana Moraes Leite, Lucila Castanheira Nascimento

Bibliographic record

VenueRevista da Escola de Enfermagem da USP · 2025
Typereview
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsCINAHLBreastfeedingChecklistCritical appraisalQualitative researchScopusPsychologyNursingThematic analysisMedical educationMEDLINEMedicinePsychological interventionPediatricsAlternative medicineSociologyPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVE: To synthesize qualitative evidence on the father's influence on the mother's decision to maintain or interrupt breastfeeding. METHOD: Qualitative metasynthesis, with systematic searches in the LILACS, PubMed, Scopus, and CINAHL databases, supplemented by manual searches. ENTREQ (Enhancing Transparency in Reporting the Synthesis of Qualitative Research) recommendations and the checklist CASP (Critical Appraisal Skills Program) were followed to assess the studies quality. In the data synthesis process, a thematic synthesis approach was used. RESULTS: Of a total of 1,158 references identified, 13 were included. The thematic synthesis allowed the construction of two analytical themes, which qualify paternal influence: 'Difficulty in actively participating in the breastfeeding process', with four descriptive themes, and 'Acting directly or indirectly with the mother during breastfeeding', with three descriptive themes. CONCLUSION: Most studies revealed the decision-making process to be centered on the mother. Health education aimed at fathers during prenatal care contributes to participatory fatherhood and encourages breastfeeding.

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)0.048
metaresearch head score (Gemma)0.147
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.048
Threshold uncertainty score0.252

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0480.147
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.015
Bibliometrics0.0110.010
Science and technology studies0.0010.001
Scholarly communication0.0050.004
Open science0.0030.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.184
GPT teacher head0.429
Teacher spread0.245 · 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 designQualitative
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

Citations1
Published2025
Admission routes1
Has abstractyes

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