Barriers to Surgical Care Among Children in Somaliland: An Application of the Three Delays Framework
Bibliographic record
Abstract
BACKGROUND: There are complex barriers that increase delays to surgical care in low- and middle-income countries, particularly among the vulnerable population of children. Understanding these barriers to surgical care can result in targeted and strategic intervention efforts to improve care for children. The three-delay model is a widely used framework in global health for evaluating barriers associated with seeking (D1), reaching (D2), and receiving health care (D3). The goal of our study is to evaluate reasons for delays in the surgical care for children in Somaliland using the three-delay framework. METHODS: Data were collected in a cross-sectional study in Somaliland from 1503 children through a household survey. Among children with a surgical need, we quantified the number of children seeking, reaching, and receiving care along the surgical care continuum, according to the three-delay framework. We evaluated predictors of the three delays through a multivariate logistic regression model, including the child's age, gender, village type, household income level, region, and household size. RESULTS: Of the 196 children identified with a surgical condition, 50 (27.3%) children had a delay in seeking care (D1), 28 (20.6%) children had a delay in reaching care (D2), and 84 (71.2%) children had a delay in receiving care (D3), including 10 children who also experienced D1 and D2. The main reasons cited for D1 included seeking a traditional healthcare provider, while lack of money and availability of care were main reasons cited for D2. Significant predictors for delays included household size for D1 and D3 and condition type and region for D2. CONCLUSION: Children in Somaliland experience several barriers to surgical care along the entire continuum of care, allowing for policy guidance tailored to specific local challenges and resources. Since delays in surgical care for children can substantially impact the effectiveness of surgical interventions, viewing delays in surgical care under the lens of the three-delay framework can inform strategic interventions along the pediatric surgical care continuum, thereby reducing delays and improving the quality of surgical care for children.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".