Complementary feeding education to mothers in health facilities of Manya‐Krobo district of Ghana
Bibliographic record
Abstract
In Ghana, the prevalence of young child undernutrition is highest between 9 and 21 mo of age; inadequate complementary feeding (CF) is one of its major causes. This study examined health service education focused on CF and its relationship with mothers' knowledge and reported practices. Two focus groups were conducted with mothers of young children (n=14). Semi‐structured interviews were conducted with Ministry of Health (MOH) personnel (n=3), doctors (n=3), nurses (n=13), health assistants (n=5), Queen Mothers (n=6), and fathers (n=8). All focus group discussions and interviews were tape‐recorded and translated for coding and analysis. Messages on CF were provided via 10‐min health talks, posters, and private counseling. While all health workers recommended starting CF at 6 mo, messages for older infants did not consistently follow MOH feeding guidelines. Reported barriers to CF education included lack of audience‐appropriate teaching aids and limited in‐service training. Like health workers, mothers and fathers' knowledge of the recommended timing for CF initiation was good but, in practice, progression to a family diet was problematic. Practical CF advice is needed and should be integrated and reinforced throughout the health system.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".