Better-Educated, Older, or Unmarried Pregnant Women Comply Less with Iron–Folic Acid Supplementation in Southern Ethiopia
Bibliographic record
Abstract
Daily iron supplementation, with or without folic acid, is a proven public health intervention. Although maintaining compliance is crucial for the success of the intervention, inconsistent findings are available on compliance and its predictors in Ethiopia. The aim of this study was to estimate the iron-folic acid (IFA) supplementation compliance rate and its predictors among pregnant women in Wolaita Zone, Southern Ethiopia. A cross-sectional study was conducted in eight randomly selected health centers in Wolaita, Southern Ethiopia. A total of 647 pregnant women were included using multistage sampling procedure. Data were entered into Epi Info (a free statistical analysis software) and exported to SPSS. Bivariate relationship was explored through correlation coefficients. A multiple linear regression model was constructed to estimate the variability coefficient of the compliance rate due to selected factors. Of 647 pregnant women, only 18 (2.8%) pregnant women had received the supplement for 90 days or more. Overall, the compliance rate was 73.2% (95% CI, 70.72 to 75.79). Experiencing heartburn and vomiting significantly reduced the compliance rate. Unintended pregnancy and better education were negatively associated with compliance. By contrast, acceptability of IFA supplement, number of antenatal care (ANC) visits, and being ever married were positive predictors. On average, a pregnant woman did not take more than one-fourth of the daily IFA supplementation. During ANC visits, addressing the issues of side effects, unintended pregnancy, and acceptability of the supplement may improve compliance rate. Overall in Ethiopia, educated, older, and unmarried Ethiopian women need additional attention for successful compliance.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.005 | 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".