The relationship between sociodemographic factors and reporting having terminated a pregnancy among Ghanaian women: a population-based study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Pregnancy termination is an illegal medical procedure in Ghana and 88% of induced abortions are performed in unsafe conditions, thus recipients face an elevated risk of abortion-related complications. This study aims to explore the associations between sociodemographic factors and reporting having terminated a pregnancy among Ghanaian women. Methods: Logistic regression models were estimated using data from the 2014 Ghana Demographic and Health Survey (n=9396). ORs were computed for the associations between reporting pregnancy termination and select demographic and socio-economic factors. Results: Education level, employment status, financial status and marital status of women are significantly associated with reporting having terminated a pregnancy. Conclusions: Women who are employed, cohabit with a partner and are considered middle class or wealthy are more likely than their counterparts to report having terminated a pregnancy. Ghanaian women with intermediate levels of education are more likely than both their more- and less-educated counterparts to report having terminated a pregnancy. These findings highlight the need for the development of policies aimed at reducing unsafe abortions associated with unintended pregnancies. Specific recommendations include providing family planning education and outreach to high-risk groups to reduce unintended pregnancies and improving working conditions for expectant mothers, including provisions for paid maternity leave and job protection.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it