Easing the strain on a pediatric tertiary care center: use of a redistribution system.
Bibliographic record
Abstract
OBJECTIVE: To evaluate the ability of a regionalized system to safely transfer patients requiring admission from a referral center to either regional or community hospitals. DESIGN: Cohort study of children requiring admission. Following transfer, a questionnaire was administered to eligible caregivers. Subsequent emergency department (ED) use was assessed by comparing children who were transferred with those who were not. SETTING: The Hospital for Sick Children, Toronto, Ontario, Canada, from April 1, 2003, through March 31, 2004. PARTICIPANTS: Caregivers of 371 children who underwent transfer from a tertiary care center ED to either a regional or a community hospital were eligible; 344 were contacted. Two hundred fifty-three children for whom transfer was considered but was not performed served as a comparison group. Intervention Questionnaire administered to caregivers, combined with database review. MAIN OUTCOME MEASURES: Failure of the transfer process, caregiver satisfaction, and future tertiary care center ED use. RESULTS: Five children experienced intravenous access problems, and 4 children experienced delayed antibiotic administration. Caregiver satisfaction was 92.3% with the transfer process and 84.4% with the care at the receiving hospital. Forty-seven percent of caregivers indicated that they would agree to a similar transfer in the future. Two years later, fewer transferred children (39.9%) than those who were not transferred (49.6%) had revisited the tertiary care center ED (odds ratio, 1.52; 95% confidence interval, 1.10-2.10). The mean number of visits was unchanged (95% confidence interval of the difference, -0.44 to 0.21 visits). CONCLUSIONS: Although we found the redistribution program to be safe, caregivers stated a preference not to be transferred again. The redistribution system did not substantially alter tertiary care center ED use.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".