Breastfeeding needs assessment in southern Vietnam: Preparing for scale-up of father involvement intervention
Bibliographic record
Abstract
Father involvement in the lives of infants can improve infant health and development. Fathers who received the Saving Brains: Father involvement in Vietnam community-based intervention supported their wives to breastfeed more exclusively (J. Rempel, L. Rempel, Vui & Long, 2017), were more attached to their infants right from birth, interacted more with their infants than fathers in control communities and their infants were developmentally more advanced (L. Rempel, J. Rempel, Khuc & Vui, 2016). A community in southern Vietnam is considering scaling-up this intervention. The objective of this current study was to obtain regional breastfeeding and father breastfeeding involvement needs assessment data. Data collectors interviewed 355 mothers of infants less than 1-year-old using a closed-ended questionnaire. About 20% of the mothers reported not breastfeeding within 6 hours after birth and 16% did not feed colostrum. Although 53% fed some infant formula milk on the first day postpartum, almost 80% waited for 3 months or longer to feed formula again and 93% continued breastfeeding longer than 6 months. Grandparents and husbands were the most likely to have recommended that mothers feed formula. Mothers reported the frequency of 13 father breastfeeding support behaviors. Most fathers provided a moderate level of support. When fathers provided more breastfeeding support, mothers were more likely to feed colostrum and less likely to stop breastfeeding in the first year. Results indicate a need to increase breastfeeding exclusivity in the first days and that father breastfeeding support could increase exclusivity. Results have been communicated to local health authorities to support a proposal to integrate a father-involvement intervention into the community health system. It is expected that training lay health workers to counsel new fathers to provide breastfeeding support and to interact with their infants right from birth will significantly improve infant health and development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".