Factors Associated with the use of Institutional Delivery Services by Mothers in a Gorkha, Nepal Community
Bibliographic record
Abstract
Institutional delivery is a delivery that takes place at any medical facility staffed by skilled delivery assistance. A descriptive cross-sectional study design was adopted to find out the factors associated with institutional delivery service utilization among mothers. The study was done in wards 6 and 11 of Gorkha Municipality in Gorkha district. The sample size was 80. The data were analysed using SPSS 16. The majority of the respondents, i.e., 97.5%, were literate, and 60% of the respondents were homemakers. 38.5% of the respondent’s husband was involved in foreign employment. Obstetric factors for institutional delivery depict nearly three-fourths of the total respondents, i.e., 72.5% of mothers marry at the age of 15-20 years; nearly half, i.e., 48.8% of mothers deliver babies at the age of 21–25; and the majority of the respondents, i.e., 97.5%, visited for an ANC checkup more than four times. Only 18.8% had complications during pregnancy. The majority of the respondents, i.e., 97.5%, thought health institutions were the best place for delivery, of which 60.3% chose health institutions for quality services. The majority of the respondents, 93.8%, delivered babies at health institutions. Enabling factors for institutional delivery depict nearly two-thirds of the respondents, i.e., 62.5%, making their own decisions. The majority of the respondents, i.e., 85.7%, received delivery services by a nurse; nearly half of the respondents, i.e., 47.5%, travelled 30–60 minutes. More than half of the respondents (55.0%) went to health institutions by vehicle. Similarly, 57.1% of the respondents received health care within 15 minutes. The present study concluded that, in spite of the higher proportion of institutional delivery, no significant association was found among the selected socio-demographic variables, i.e., educational status, spouse educational status, ethnicity, religion level, and monthly income.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".