Socially marketing micronutrients: Caregiver recall of a multi‐channel communications campaign in Bolivia
Bibliographic record
Abstract
We designed and implemented a communications campaign in Bolivia, in partnership with the Ministry of Health and Sports, to increase demand and appropriate use of micronutrient supplements for children as part of the national Zero Malnutrition Program. The full campaign (TV and radio ads and print materials) was implemented in prioritized municipalities and only mass media was implemented in non‐prioritized municipalities (prioritization was based on population size, supplement coverage and anemia burden). We aimed to assess caregiver recall of the communications campaign, with and without community‐level print communication. 9 mo after campaign dissemination, we conducted a household‐level survey with caregivers of young children 6‐23 mo of age (n=363) in randomly selected prioritized (n=19) and non‐prioritized (n=18) municipalities. We administered a questionnaire on campaign exposure and related knowledge, attitudes and practices, and showed images of materials to facilitate recall. 30% of caregivers surveyed reported recall of the campaign, which was higher in urban than rural areas (37 vs 23%, p<.05) and higher in prioritized than non‐prioritized areas (37 vs 19%, p<.05). Ownership of TV was 84% and radio was 75%. Median daily use of each was 2 h. Overall recall of TV ads was 17% and radio was 9% (20 vs 13%, p=.1 and 7 vs 12%, p=.07 in prioritized and non‐prioritized areas, respectively). Recall of TV and radio ads was lower than expected, based on high TV and radio ownership and formative research findings which identified these mass media channels (stations and hours) as the preferred form of receiving health information. Funding: Micronutrient Initiative
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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 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".