Effects of refresher training on the use of manual vacuum aspiration in the treatment of incomplete abortions: a quasi-experimental study in Malawi
Bibliographic record
Abstract
INTRODUCTION: The maternal mortality ratio is decreasing globally, although it remains high in Malawi. Unsafe abortion is a major cause and treatment of complications after abortion is a big burden on the health system. Even though manual vacuum aspiration (MVA) is the recommended surgical treatment of incomplete abortions in the first trimester, many hospitals in Malawi continue to use sharp curettage. It is known to have more complications and is more expensive in the long run. The purpose of this study was to determine the effectiveness of a structured MVA training programme in the treatment of incomplete abortions in Malawi. METHODS: A quasi-experimental before-and-after study design was employed in an MVA training programme for health personnel at three hospitals in Southern Malawi. A total of 53 health personnel at the Queen Elizabeth Central Hospital and the district hospitals of Chikwawa and Chiradzulu (intervention hospitals) were trained in the use of MVA. Kamuzu Central Hospital in Lilongwe and the Thyolo District Hospital served as control institutions. Medical files for all women treated for an incomplete abortion at the study hospitals were reviewed before and after the intervention. Information on demographic and obstetric data and the type of treatment was collected. RESULTS: There was a significant increase in the use of MVA from 7.8% (95% CI 5.8 to 10.3) to 29.1% (95% CI 25.9 to 32.5) 1 year after the intervention. In comparison, we found a mere 3% increase in the control hospitals. CONCLUSIONS: By providing a refresher training programme to health personnel who treat women with incomplete abortions, it was possible to increase the use of MVA as recommended in the Malawi national guidelines.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".