Childbirth fear and related factors among pregnant and postpartum women in Malawi
Bibliographic record
Abstract
BACKGROUND: Childbirth fear is a health concern in women living in high-income countries; however, little is known about childbirth fear among women living in low-income countries like Malawi. In this study, we explored childbirth fear and associated factors among pregnant and postpartum women in Malawi. METHODS: A cross-sectional study of 152 pregnant and 153 postpartum women was conducted at a district hospital in Malawi. Participants were assessed for childbirth fear using the Wijma Delivery Expectancy/Experience Questionnaire (WDEQ). Demographic and obstetric variables were collected using a structured questionnaire. The Multidimensional Scale of Perceived Social Support (MSPSS) was used to measure social support. Using a multinomial logistic regression, factors related to childbirth fears were examined, namely demographic and obstetric characteristics, and social support. RESULTS: The mean age of participants was 26 (standard deviation: 6.4) years. During pregnancy, 39% women reported a low level of fear, 41% reported moderate fear, and 20% reported high fear; while after birth, 49, 41, and 10% women reported low, moderate, and high fear, respectively. Pregnant women who were illiterate (odds ratio (OR): 5.0, p < 0.01) or unemployed (OR: 12.6, p < 0.01) were more likely to report moderate and high fear. Postpartum mothers who were illiterate (OR: 4.2, p < 0.01) or unemployed (OR: 11.8, p < 0.01) were more likely to have moderate and high fear. Furthermore, postpartum women who sustained perineal tears had significantly higher odds of experiencing moderate (OR: 5.3, p < 0.01) or high (OR: 19.9, p < 0.01) fear than their counterparts. CONCLUSIONS: Childbirth fear is common in Malawi, and pregnant women are more likely to experience high levels of fear than postpartum women. This study highlighted the connection between childbirth fear with mother's education, employment, and perineal tears during delivery. Identifying and developing interventions for women with these associated characteristics is of clinical importance for the reduction of childbirth fear before and after childbirth in Malawi.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".