Knowledge of Malaria and Preventive Measures among Pregnant Women Attending Antenatal Clinics in a Rural Local Government Area in Southwestern Nigeria
Bibliographic record
Abstract
OBJECTIVE: This study determined the level of knowledge of malaria and preventive measures among pregnant women and its influence on the uptake of preventive measures. METHODS: A cross-sectional survey was carried out among 209 participants selected from pregnant women attending antenatal clinics in primary healthcare centres in Irepodun/Ifelodun, a local government area in Ekiti state, Nigeria. RESULTS: Knowledge of malaria was found to be very good, average and poor among two (1.0%), 165 (78.9%) and 42 (20.1%) respondents, respectively. Of the 109 (52.2%) respondents who had heard about intermittent preventive treatment, eight (7.3%) scored "very good" on knowledge, while 53 (48.6%) and 48 (44.1%) scored "average" and "poor," respectively. Of the 144 (68.9%) respondents who had heard about insecticide-treated nets, 95 (66.0%) scored "good" on knowledge, while 49 (34.0%) scored "poor." Factors that significantly influenced knowledge about malaria were occupation, level of education, months at first appearance at antenatal clinic and transportation cost. Knowledge significantly influenced uptake of insecticide-treated nets and intermittent preventive treatment in pregnancy ( p < .05). CONCLUSION: There is a need to intensify efforts to provide health education on malaria and preventive measures as well as to encourage preventive practices among pregnant women.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".