Mass media exposure and its impact on malaria prevention behaviour among adult women in sub-Saharan Africa: results from malaria indicator surveys
Bibliographic record
Abstract
BACKGROUND: Mass media exposure plays a pivotal role in health communication and adoption of a healthy lifestyle. In this study, we aimed to measure the prevalence of malaria prevention behaviour among adult women in eight malaria-endemic countries in sub-Saharan Africa (SSA), and assess the influence of mass media exposure in the adoption of those behaviours. METHODS: For this study, we collected cross-sectional data on 46,822 women aged between 15 and 49 years from the Malaria Indicator Surveys (MIS) conducted in Burkina Faso, Ghana, Mali, Malawi, Kenya, Nigeria, Sierra Leone and Uganda. As the outcome variable, malaria prevention behaviour was proxied by the use of insecticide treated nets (ITNs) and uptake of antimalarial drugs in last pregnancy. RESULTS: The overall prevalence of sleeping under ITN and that of taking antimalarial drug during the last pregnancy was respectively 67.9% (95%CI = 66.6-69.2) and 72.8% (95%CI = 71.3-74.2). However, there were disparities in the prevalence of using ITN and antimalarial drug use across the study countries. In the multivariable regression analysis, not receiving malaria related information from radio, poster/billboards, community events, and health workers were found to be significantly associated with reduction in the odds of using ITN the previous night. For the use of antimalarial drugs during last pregnancy, the odds were 23% [OR = 0.773, 95%CI = 0.625-0.956] lower for those who did not receive malaria information on radio compared with those who received. CONCLUSIONS: These findings indicate a potentially important role of malaria information received through mass media on utilisation of ITN among women in SSA. More research is needed to explore the factors that limit the accessibility to malaria information through mass media.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".