Impact of distance on postoperative follow-up in patients of pediatric surgery: a retrospective review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: Centralization of medical services in Canada has resulted in patients travelling long distances for healthcare, which may compromise their health. We hypothesized that children living farther from a children's hospital were offered and attended fewer follow-up appointments. Methods: We reviewed children less than 17 years of age referred to the general surgery clinic at a tertiary children's hospital during a 2-year period who underwent surgery. Descriptive statistics were performed. Results: We identified 723 patients. The majority were male (61%) with a median age of 7 years (range 18 days to16 years) and were from the major urban center (MUC) (56.3%). The median distance travelled to hospital for MUC patients was 8.9 km (range 0.9-22 km) vs 119.5 km (range 20.3-1950 km) for non-MUC patients. MUC children were offered more follow-up appointments (72.7% vs 60.8%, p<0.05). No significant differences existed in follow-up attendance rates (MUC 88.5% vs non-MUC 89.1%, p=0.84) or postoperative complications (9.8% vs 9.2%, p=0.78). There were no deaths. Conclusions: Patients living farther from a hospital were offered fewer follow-up appointments, but attended an equivalent rate of follow-ups when offered one. Telemedicine and remote follow-up are underused approaches that can permit follow-up appointments while reducing associated travel time and expenses.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it