Awareness of Preeclampsia among Antenatal Clinic Attendees in Northwestern Nigeria
Bibliographic record
Abstract
Abstract Background Preeclampsia (PE) is among the five main causes of maternal mortality in low resource countries. This study was designed to assess PE awareness and its socioeconomic determinants among antenatal clinic attendees in northwestern Nigeria. Methods Two hundred twenty-one antenatal clinic attendees in northwestern Nigeria were selected through systematic random sampling for this quantitative study. Women who were 9 months pregnant and had consented to participate were included; those with chronic illnesses such as diabetes mellitus were excluded. Data on respondents' sociodemographic variables, and PE awareness were collected using a validated questionnaire. Associations between variables were tested using chi-square test and multiple regression analysis. Results Ninety-one percent of respondents were aged 20 to 40 years, 53.9% were multiparous, 27% had no or low level of formal education, and 52% had attended antenatal care (ANC) at least four times in the index pregnancy. Only 37% (N = 83) were aware of PE. Women with formal education were 3.8 times more likely (odds ratio [OR] = 3.8, 95% confidence interval [CI] = 1.4–10.3) to be aware of PE compared with those with no formal education (p < 0.05). Also, women who experienced hypertension in their previous pregnancies were 2.8 times more likely (OR = 2.8, 95% CI = 1.37–5.71) to be aware of PE than those women who had not (p < 0.05). Conclusion There was a low level of PE awareness among pregnant women in this study; being formally educated and having had hypertension in a previous pregnancy were positively associated with PE awareness. PE education should be part of ANC.
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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 | 0.000 | 0.002 |
| 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) | 0.002 | 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".