Association between Socioeconomic Status and the Utilization of Maternal Health Services in Nigeria
Bibliographic record
Abstract
Background: Maternal health is the mother's state of well-being before, during, and after conception. Studies have suggested that the increasing maternal mortality rate is preventable provided maternal health services are accessible during pregnancy. This study explored the association between socioeconomic status and the utilization of maternal health services in the Federal Medical Centre (FMC), Abeokuta, Ogun State. Materials and Methods: This study is a cross-sectional survey. One hundred and eighty-eight pregnant women from the antenatal unit of a tertiary hospital in Southwestern Nigeria were selected using a convenience sampling technique. Data were collected via a pretested, self-designed questionnaire. The descriptive statistics were used to analyze the resulting data, and the hypotheses were tested using the Pearson product-moment correlation at 0.05 level of significance. Result: < 0.05) existed between maternal health service utilization and age and between socioeconomic factors (occupation and income level) and utilization of maternal health services of pregnant women. Conclusions: Overall, this study revealed that the level of utilization of maternal health services among expectant women attending FMC is moderate. As this study has shown that socioeconomic factors influence the utilization of maternal health services, we recommend that interventions by health workers targeted at improving the utilization of maternal health services should consider these factors when designing such interventions. It is hoped that this will contribute to reducing maternal mortality and morbidity in this state.
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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 | 0.003 | 0.000 |
| 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) | 0.000 | 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 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".