Maternal perceptions about caesarean section deliveries and their role in reducing perinatal and neonatal mortality in the Upper West Region of Ghana; a cross-sectional study
Bibliographic record
Abstract
BACKGROUND: Maternal perceptions about caesarean section contribute to delayed presentation of women for emergency obstetric care. This increases the risks of perinatal and neonatal mortality and slows down the reductions needed to achieve the sustainable development goal (SDG) target of reducing neonatal mortality and ending new-born deaths. The aim of the study is to determine maternal perceptions about caesarean section deliveries and their role in reducing neonatal mortality at a regional and a district hospital in the Upper West Region of Ghana. METHODS: This descriptive study was carried out at two hospitals in the Upper West Region, the most rural region in Ghana, between 15th January and 29th June, 2018. Maternal perceptions were examined among antenatal care attendants at the Upper West Regional Hospital (UWRH) and St Joseph's Hospital Jirapa (SJH), a district hospital, using questionnaires administered by trained nurses. RESULTS: Altogether, 416 completed questionnaires were obtained, comprising 206 from expectant women attending the UWRH and 210 from SJH. Although the majority of women in this study preferred spontaneous vaginal delivery (87.4%, n = 348) to caesarean section, most of the respondents (n = 281, 73%) indicated their willingness to have a caesarean section if necessary. The main reason for not wanting a CS was the long recovery time (51.8%, n = 148). Almost half of women interviewed, representing 45.1% (180) did not know or feel that CS can promote child survival and about a fifth, 21.6% (85) believed that CS can have adverse effects on child survival. Factors associated with poor perception of CS included, no formal education, age less than 19 years and no employment. CONCLUSION: Majority of women in this study had a positive attitude towards the uptake of CS if it becomes necessary. Lack of formal education, age less than 19 years and unemployment are associated with poor maternal perception of CS. Education to improve the perception of CS as a promoter of child survival is necessary and to discourage perceptions that it causes adverse perinatal or neonatal outcome particularly in at risk populations.
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 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".