An Investigation of the Stillbirths at a Tertiary Hospital in Limpopo Province of South Africa
Bibliographic record
Abstract
OBJECTIVE: To determine the stillbirth rate and identify the causal factors associated with it in a tertiary hospital. METHODS: A retrospective review of records of women who had stillbirths at a tertiary hospital of the Limpopo Province was conducted. The study period was two years from January 1, 2009 to December 31, 2010. The hospital maternity registers were used to identify the women who gave birth during the study period. Data were collected using a data collection form designed for the study. The data collected included maternal age, parity, gestation, mode of delivery, obstetric complications, infant or foetal's gender and weight; whether the birth was fresh stillbirth or macerated and cause of stillbirth. RESULTS: There were 5597 deliveries during the two years period of the study. The hospital-based stillbirth rate was 38.4 per 1000 births, with 71% being macerated. The majority of women with stillborn infant in this study were in the age group (24%) 20-34 years, followed by (23%) aged 35 years and older. Nulliparity was associated with stillbirth. Unexplained intrauterine foetal death, hypertensive disease, placenta abruptio was the leading causes of stillbirth. CONCLUSION: In this study stillbirth rate seems to be unacceptably high, though less than those reported in other settings. The causal factors associated with it were identified as nulliparity, unexplained intrauterine foetal deaths, hypertensive disease, and placenta abruptio. Because of the high rate of stillbirths reported in this study, it is recommended that interventions be made to introduce fetal autopsies at the tertiary healthcare facilities and that an educational intervention aimed teaching pregnant women be instituted.
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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 | 0.002 | 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 | 0.000 |
| 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".