The Socioeconomic Implications of Isolated Tibial and Femoral Fractures from Road Traffic Injuries in Uganda
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to determine the socioeconomic implications of isolated tibial and femoral fractures caused by road traffic injuries in Uganda. METHODS: This prospective longitudinal study included adult patients who were admitted to Uganda's national referral hospital with an isolated tibial or femoral fracture. The primary outcome was the time to recovery following injury. We assessed recovery using 4 domains: income, employment status, health-related quality of life (HRQoL) recovery, and school attendance of the patients' dependents. RESULTS: The majority of the study participants (83%) were employed, and they were the main income earner for their household (74.0%) at the time of injury, earning a mean annual income of 2,375 U.S. dollars (USD). All of the patients had been admitted with the intention of surgical treatment; however, because of resource constraints, only 56% received operative treatment. By 2 years postinjury, only 63% of the participants had returned to work, and 34% had returned to their previous income level. Overall, the mean monthly income was 62% less than preinjury earnings, and participants had accumulated 1,069 USD in debt since the injury; 41% of the participants had regained HRQoL scores near their baseline, and 62% of school-aged dependents, enrolled at the time of injury, were in school at 2 years postinjury. CONCLUSIONS: At 2 years postinjury, only 12% of our cohort of Ugandan patients who had sustained an isolated tibial or femoral fracture from a road traffic injury had recovered both economically and physically. LEVEL OF EVIDENCE: Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.
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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 | 0.000 | 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".