PREVALENCE OF CAESAREN SECTION DELIVERY AND ASSOCIATED FACTORA AMONG WOMEN GAVE BRITH IN THE LAST ONE YEAR AT BUTAJIRA GENERAL HOSPITAL, GUARGE ZONE, SNNP, ETHIOPIA, 2019.
Bibliographic record
Abstract
Back ground: caesarean section is an operational procedure where by the fetus after the end of 28th week is delivered through an incision on the abdominal and uterine walls. Objective: To assess prevalence of cesarean section delivery and associated factor among women who gave brith in the one last year at Butajira general hospital, Garage Zone, SNNP, Ethiopia, 2019.Methods: Institutional based retrospective cross- sectional study was conducted from April 25,2019 to May 15, 2019 at Butajira general hospitals. The total sample size was 250. The data was collected by using structured questionnaire by systematic random sampling method from women record document that gave birth last one year at Butajira general hospital. Last. Data were entered and analyzed using SPSS version 21. Independent variables found to be significant in the bivariate logistic regression analysis at a cut-off point of p-value <0.25 with were included in the multivariate logistic regression models. Adjusted odds ratios with their 95% confidence intervals and p-value < 0.05 were considered to have significant association with CS. Finally, the data were described and presented using table's frequency, percentage and sentence. Result: The prevalence of CS in Butajira general hospital was 21% with CI (15-25.8). The indication of CS in the study area was NRFHR (47.2%) which was followed by malposition and mal presentation (30.7%) and previous CS (28.8%).Independent variable such as fetal weight (AOR 6.871, 95%CI (1.996, 23.654),rural resident (AOR 2.744, 95%CI (1.235,6.096) and history of no previous stillbirth (AOR 0.133, 95%CI (0.033, 0.536) were significantly associated with CS. Conclusion and recommendation: The prevalence of CS in study area (21%) was higher than the WHO recommendation 15% upper limit. In this study major CS indication was NRFHR, previous CS and abnormal position and presentation. Therefore, provide time for conservative management of fetal distress rather than rushing to operation theatre with a single episode of fetal heart rate abnormality, enhance manual correction in case of abnormal position and presentation by experienced physician and encourage VBAC in appropriate cases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.002 | 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".