A Scoping Review of Tobacco Control Health Communication in Africa: Towards Involving Young People
Bibliographic record
Abstract
Health communication has been highlighted as a cost-effective preventive intervention in Africa where prevalence of tobacco use is still relatively low compared to other World Health Organization (WHO) regions. This scoping review aims to examine tobacco control health communication interventions in Africa. The review was guided by the PRISMA-ScR checklist. Data was extracted from twenty peer-reviewed papers, WHO Global Health Observatory on Anti-tobacco mass media campaigns for 54 African countries, and six WHO Framework Convention on Tobacco Control reports on Article 12. Data extraction informed by JBI data extraction questions was used for peer review studies while a pre-determined template was used for the other sources. Narrative data synthesis informed by the JBI manual for evidence synthesis was employed. Lack of research that comprehensively address all areas of health communication and Inconsistent use of health communication campaigns was identified. Only an average of 6 countries had ever implemented effective mass media campaigns in a decade while an average of 33 countries consistently failed to conduct campaigns that lasted more than 3 weeks. Although the involvement of key populations was clearly vital to ensure content relevance and message clarity; a lack of health communication informed by young people was observed as they rarely participated in key decision-making despite reportedly being targets of interventions. Clear health communication for tobacco use prevention informed by young people is lacking in African countries. Active participation of young people in developing targeted campaigns is needed to facilitate content relevance and comprehension to ultimately contribute to tobacco use prevention.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".