Utilization of Maternal Health Services: An Experience from Squatter Settlement in Nepal
Bibliographic record
Abstract
Maternal health care services should be accessible to all women during pregnancy, delivery, and the postpartum period. The majority of maternal deaths can be prevented if women utilize maternal health care services appropriately. This study aimed to assess the utilization of maternal health services and explore the barriers in accessing maternal health care services. This descriptive cross-sectional study was conducted among 48 mothers over the age of 18 with one or more children. The data was obtained by interview and focus group discussion using the structured questionnaires and checklists, which included socio-demographic characteristics, and utilization of antenatal care, delivery practice, and postnatal care services. Among 48 mothers, only 35.41% used complete antenatal care services, 66.66% received TT vaccine during pregnancy, 54.16% delivered their last child at the hospital, and only 27.08% received postnatal services as recommended by the World Health Organization. The antenatal care services and delivery services were utilized suboptimally, and postnatal care visits were significantly lower. Socio-economic factors such as family income and education of women correlated considerably with maternal health care utilization. Women with higher education levels and higher family income were more likely to go for frequent antenatal check-ups, have TT vaccinations, deliver in hospitals, and visit more postnatal check-ups than women with lower education levels and lower family income. The findings indicate that there are unmet needs of maternal health care access to women living in the squatters of Nepal. It is therefore important to implement targeted incentive programs and maternal health awareness campaigns to increase the utilization of maternal health services among women living in squatter settlements in Nepal. Key words: Antenatal, Delivery, Postnatal, Maternal health services, Squatter.
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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 | 0.002 | 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".