Household Survey in Sierra Leone Reveals High Prevalence of Surgical Conditions in Children
Bibliographic record
Abstract
BACKGROUND: Although great efforts are being undertaken to reduce child morbidity and mortality globally, there is limited knowledge about the need for pediatric surgical care. Some data on surgical need is available from hospital registries, but it is difficult to interpret for countries with limited surgical capacity. METHODS: A cross-sectional two-stage cluster-based sample survey was undertaken in Sierra Leone, using the Surgeons OverSeas Assessment of Surgical Need tool. Data were collected and analyzed on numbers of children needing surgical care and pediatric deaths that may have been averted if surgical care had been available. RESULTS: A total of 1,583 children out of 3,645 individuals (43.3 %) were interviewed. Most (64.0 %, n = 1,013) participants lived in rural areas. At the time of interview, 279 (17.6; 95 % confidence interval (95 % CI): 15.7-19.5 %) had a possible surgical condition in need of a consultation. Children in the northern and eastern provinces of Sierra Leone were much more likely to report a surgical problem than those in the urban-west. CONCLUSIONS: There is a high need for surgical care in the pediatric population of Sierra Leone. While additional resources should be allocated to address that need, more research is needed. Ideally, questions on surgically treatable conditions should be added to the frequently performed health care surveys on the pediatric population.
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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 | 0.004 | 0.001 |
| 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 | 0.001 |
| 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 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".