Why are pregnant women in Togo reluctant to undergo caesarean section? A systematic inventory of motives
Bibliographic record
Abstract
This study explored the reasons underlying pregnant women's reluctance to undergo cesarean sections in Togo, despite its importance in reducing maternal and neonatal mortality. A total of 397 pregnant women who expressed hesitancy toward cesarean sections were enrolled during routine prenatal care visits at the country's largest hospital. They completed a questionnaire comprising 72 statements addressing potential reasons for hesitancy toward cesarean sections. Their responses were analyzed using factor analysis, and the effects of participants' demographic characteristics on scores for each factor were assessed using ANOVA. A seven-factor structure of motives was found: Fear of Death (endorsed by 92% of the sample); Regaining Autonomy Quickly (87%); Financial Concerns (74%); Fear of Stigmatization (73%); Fear of Unsupportive Reactions from Spouses and Relatives (72%); Prevention Through Spiritual Interventions (70%); and Perceived Health Risks for the Mother and Baby (40%). Scores on these factors were related to participants' sociodemographic characteristics. Effectively addressing the low uptake of cesarean section requires a multifaceted approach rather than one focused on a single barrier. Our findings suggest critical points that could help develop tailored interventions to address the various obstacles to this life-saving care.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".