Effectiveness outcomes of preadmission testing for presurgical patients
Bibliographic record
Abstract
A prospective control study comparing elective surgical patients who had some or all of their presurgical testing done before admission with those who were tested after admission, was done at a 300 bed teaching and referral hospital in Vancouver, British Columbia. The intent of the study was to determine whether or not a program of preadmission testing (PAT) resulted in fewer inappropriate admissions and fewer delayed, postponed or cancelled surgical procedures. In addition, the amount of repeated testing was compared in the two groups. A matched subsample of 62 pairs from an overall sample of 90 PAT and 277 nonPAT patients admitted during an eight week period, was examined. Some interviews with surgeons, anesthetists, head nurses and significant others, also were carried out. It was found that preadmission testing did not significantly effect surgical workflow nor result in fewer inappropriate admissions. Preadmission tested patients, on the other hand, were far more likely to have tests repeated and had more venipunctures than patients who were tested after admission.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".