SHORT REPORT: Demographic and Sociocultural Factors Influencing Use of Maternal Health Services in Ghana
Bibliographic record
Abstract
Using data from the 1993 Ghana Demographic and Health Survey (GDHS), this study investigates the demographic and sociocultural determinants of use of maternal health services. The maternal health services considered in this study are: i) use of a doctor for prenatal care; ii) soliciting antenatal check-up; iii) place of delivery and, iv) family planning. Logistic regression is employed to explore the relative importance of age at marriage, number of living children, education, place of residence, occupation, region of residence, religion, ethnicity, and age on the likelihood of using maternal health services. Multivariate analyses reveal that the use of the four maternal health services under study tend to be shaped mostly by level of education, place of residence, region of residence, occupation, and religion. Programmatic implications of these results are discussed. (AfrJReprod Health 1998;2(l):73—80) KEY WORDS: Demographic, sociocultural, maternal health, use of services
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".