Addressing the marketing and availability of unhealthy food and beverages in and around selected schools in Ghana: a community readiness appraisal
Bibliographic record
Abstract
OBJECTIVE: This study assessed stakeholder readiness to address unhealthy food and beverage marketing and availability in/around Public Basic Schools (for children 4-15 years) in Greater Accra Region, the highly urbanised administrative capital of Ghana. DESIGN: The community readiness model was used to conduct in-depth mixed methods interviews with stakeholders. Using predefined anchored rating statements, quantitative readiness scores ranging from 1 to 9 were generated. Thematic qualitative analysis was undertaken to understand barriers and facilitators that could influence the implementation of interventions. SETTING: Greater Accra Region, Ghana. PARTICIPANTS: 18 key informants from various school/education/citizen sectors, which together represented the 'school community' of Greater Accra Region. RESULTS: The mean readiness scores indicated that the 'school community' was at the 'preplanning' stage of readiness (4.44±0.98) to address the marketing and availability of unhealthy food and beverages in and around schools. The mean readiness score for 'leadership' was the highest of all dimensions (5.36±1.60), corresponding to the 'preparation' stage. The lowest scores were found for 'community knowledge of efforts' (3.19±2.45) and 'resources for efforts' (3.64±0.87), both of which were at a 'vague awareness' stage. CONCLUSIONS: The 'school community' recognised that the marketing and availability of unhealthy food and beverages was a problem. Additionally, current leadership was actively supportive of continuing/improving efforts that create healthier children's food environments. However, actions that aim to increase the 'school community's' knowledge of existing interventions and securing resources to sustain those interventions are needed before introducing readiness appropriate strategies.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".