The association between exposure to a radio campaign on nutrition and mothers’ nutrition- and health-related attitudes and minimal acceptable diet of children 6–36 months old: a quasi-experimental trial
Bibliographic record
Abstract
Abstract Objective: To evaluate the effectiveness of a radio campaign involving serial 10-minute drama episodes, 10-minute on air discussion of each episode by trained community health workers and 30-minute phone-ins from listeners in improving mothers’ nutrition- and health-related attitudes (HNRAs) and children’s minimum acceptable diet (MAD). Design: A two-arm quasi-experimental trial with a pre-post design was used to quantify the effect of a radio campaign on nutrition before and immediately after the 6-month intervention. Difference-in-difference (DID) analysis was performed to assess the intervention’s effect. Setting: Saboba district (intervention) and Central Gonja (comparison district) of northern region of Ghana. Participants: At baseline, a total of 598 mothers with children aged 6–22 months were randomly selected from the intervention (n 298) and control (n 300) districts. At endline (6 months post-intervention), 252 mother–child dyads in the intervention district and 275 mother–child dyads in the control district were followed up. Results: The radio campaign was significantly and positively associated with a change in health- and nutrition-related attitudes (HNRA) over time, with DID in mean attitudes significantly improving more over time in the intervention district than the control (DID = 1·398, P < 0·001). Also, the prevalence of MAD over time in the intervention district was significantly higher than the control district (DID = 16·1 percentage points, P = 0·02) in the presence of food insecurity. Conclusions: The study indicates that a radio campaign on nutrition is associated with improved mothers’ HNRA and children’s MAD. Communication interventions on child nutrition targeting low-resource settings should consider this innovative approach.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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".