Obstetric Fistula Repair: Experience with Hospital-Based Outreach Approach in Nigeria
Bibliographic record
Abstract
BACKGROUND: The huge back-log of obstetric fistula and the increasing incidence of the condition in Nigeria is a cause for concern for all stake-holders. This worrisome trend requires concerted effort with innovative strategies to redress the situation. METHODS: Hospital-based outreach programs sponsored by a non-governmental organization with volunteer medical and health personnel were used to repair selected cases of obstetric fistula in Nigeria. RESULTS: Fifty-two relatively simple obstetric fistulas were selected out of 68 (selection rate 76.5%) that presented for repair at 12 outreach programs in 5 different states of Nigeria. All the cases were repaired by one trained gynecological surgeon with a cure rate of 100%. The majority (50.0%) of the women were aged between 16 and 20 years with a mean age of 23.8 years ± 3.6. Most (80.9%) of the women in the study population were primiparous. The majority (50.0%) of the women were divorced at the time of their presentation for repair. A vast majority (76.9%) of the women had either primary level of education or no formal education. There was a preponderance (53.8%) of juxtacervical VVF among women in the study population. CONCLUSION: The use of hospital- based outreach approach to repair simple cases of obstetric fistula if multiplied could help reduce the large number of women living with unrepaired VVF in Nigeria.
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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 | 0.002 |
| 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".