Effectiveness of social marketing in improving knowledge, attitudes and practice of consumption of vitamin A-fortified oil in Tanzania
Bibliographic record
Abstract
OBJECTIVE: To evaluate the effectiveness of a social marketing intervention in enhancing knowledge, attitudes and practice (KAP) related to consumption of vitamin A-fortified oil. DESIGN: The intervention employed community events, distribution of educational materials and radio broadcasts. The intervention was assessed in a quasi-experimental non-equivalent control group study design by collecting information on KAP regarding vitamin A-fortified oil consumption before and after 9 months of a 13-month intervention. SETTING: Six districts in Manyara and Shinyanga regions in Tanzania were non-randomly selected as the intervention districts and two districts served as the control districts. PARTICIPANTS: At baseline, 568 lactating mothers with children aged <5 years were randomly selected from the intervention and control districts. Of these, 494 mothers were followed up at endline. RESULTS: After 9 months of intervention, knowledge of fortification and actual consumption of adequately fortified oil were significantly higher in the intervention districts compared with the control districts (P <0·05). Knowledge of the health benefits of vitamin A improved significantly from about 33 to 45 % in both the intervention and control districts. The major sources of information for women were health clinics and community health workers (CHW). CONCLUSIONS: The study showed that a social marketing intervention is effective in improving KAP regarding fortified oil consumption at the household level. Clinics and CHW are channels that should be prioritized when communicating health messages, particularly those targeting women.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".