Out‐of‐Pocket and Catastrophic Expenses Incurred by Seeking Pediatric and Adult Surgical Care at a Public, Tertiary Care Centre in Uganda
Bibliographic record
Abstract
BACKGROUND: Surgical care is critical to establish effective healthcare systems in low- and middle-income countries, yet the unmet need for surgical conditions is as high as 65% in Ugandan children. Financial burden and geographical distance are common barriers to help-seeking in adult populations and are unmeasured in the pediatric population. We thus measured out-of-pocket (OOP) expenses and distance traveled for pediatric surgical care in a tertiary hospital in Mbarara, Uganda, as compared to adult surgical and pediatric medical patients. METHODS: Patients admitted to pediatric surgical (n = 20), pediatric medical (n = 18) and adult surgical (n = 18) wards were interviewed upon discharge over a period of 3 weeks. Patient and caregiver-reported expenses incurred for the present illness included prior/future care needed, and travel distance/cost. The prevalence of catastrophic expenses (≥10% of annual income) was calculated and spending patterns compared between wards. RESULTS: Thirty-five percent of pediatric medical patients, 45% of pediatric surgical patients and 55% of adult surgical patients incurred catastrophic expenses. Pediatric surgical patients paid more for their current treatment (p < 0.01)-specifically medications (p < 0.01) and tests (p < 0.01)-than pediatric medical patients, and comparable costs to adults. Adult patients paid more for treatment prior to the hospital (p = 0.04) and miscellaneous expenses (e.g., food while admitted) (p = 0.02). Patients in all wards traveled comparable distances. CONCLUSIONS: Seeking healthcare at a publicly funded hospital is financially catastrophic for almost half of patients. Out-of-stock supplies and broken equipment make surgical care particularly vulnerable to OOP expenses because analgesics, anaesthesia and preoperative imaging are prerequisites to care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".