Family planning communication through mass media and health workers for promoting maternal health care utilization in Nigeria
Bibliographic record
Abstract
Studies have demonstrated that health communication programmes, through community health workers or mass media, are a key strategy to promote awareness and uptake of essential maternal health services. This study investigated whether or not family planning communication through mass media and health workers has any association with maternal health care utilization uptake in Nigeria. Cross-sectional data were extracted from the 2003-13 Nigeria Demographic and Health Surveys. The study sample comprised 41,938 women aged 15-49 years who had a live birth during the 5 years preceding the survey. Outcome variables were adequacy of antenatal care visits and place of delivery. Receiving family planning messages from the radio, TV, newspapers, a family planning worker or during a health facility visit were considered as possible sources of exposure to family planning information. Radio (32.6%) was the most commonly reported source of family planning information, followed by TV (17.5%) and newspapers (6.1%). Less than one-tenth of respondents were visited by family planning workers (9.5%) and about one-third visited a health facility during the previous 12 months (30.3%). Those who reported receiving family planning information from the three types of mass media and who had contact with a family planning worker and/or health facility were more likely to have at least eight antenatal care contacts (odds ratio for TV use=1.172, 95% CI=1.058-1.297) and deliver at a health facility (odds ratio for TV use=1.544, 95% CI=1.350-1.766). These findings indicate that family planning communication through mass media and health workers could potentially improve the utilization of antenatal and health facility delivery services in Nigeria.
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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 | 0.005 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".