Effect of pregnancy intention on the timing and sustained use of antenatal care services in Rwanda.
Bibliographic record
Abstract
We investigated the relationship between intended pregnancy and utilization of antenatal care services in Rwanda. Using Demographic and Health Survey 2014/2015, secondary data was obtained on maternal health services utilization. We performed stepwise logistic regression analysis to examine the effect of independent variables on women's early and late utilization, as well as their sustained use of antenatal services. Dependent and main independent variables included: first trimester visits, completed antenatal visits and intended pregnancy respectively. Of 5,944 women sampled; 56.6% had made early antenatal visits and 44% had completed 4 visits. Unintended pregnancies were less likely to make early antenatal visits and complete 4 antenatal visits. Religion and being in union had positive association with standard antenatal visits; while age (>24 years), grand multiparty, and poor economic status had negative association. Our results call for deeper sensitization on utilization of antenatal services and more use of contraception to reduce unintended pregnancies.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".