The longitudinal impact of division-wide implementation of an enhanced recovery after thoracic surgery programme
Bibliographic record
Abstract
OBJECTIVES: Data regarding enhanced recovery after thoracic surgery (ERATS) are sparse and inconsistent. This study aims to evaluate the effects of implementing an enhanced ERATS programme on postoperative outcomes, patient experience and quality of life (QOL). METHODS: We conducted a prospective, longitudinal study evaluating 9 months before (pre-ERATS) and 9 months after (post-ERATS) a 3-month implementation of an ERATS programme in a single academic tertiary care centre. All patients undergoing major thoracic surgeries were included. The primary outcomes included length of stay (LOS), adverse events (AEs), 6-min walk test scores at 4 weeks, 30-day emergency room visits (without admission) and 30-day readmissions. The process-of-care outcomes included time to 'out-of-bed', independent ambulation, successful fluid intake, last chest tube removal and removal of urinary catheter. Perioperative anaesthesia-related outcomes were examined as well as patient experience and QOL scores. RESULTS: The pre-ERATS group (n = 352 patients) and post-ERATS group (n = 352) demonstrated no differences in demographics. Post-ERATS patients had improved LOS (4.7 vs 6.2 days, P < 0.02), 6-min walk test scores (402 vs 371 m, P < 0.05) and 30-day emergency room visits (13.7% vs 21.6%, P = 0.03) with no differences in AEs and 30-day readmissions. Patients experienced shorter mean time to 'out-of-bed', independent ambulation, successful fluid intake, last chest tube removal and urinary catheter removal. There were no differences in postoperative analgesia administration, patient satisfaction and QOL scores. CONCLUSIONS: ERATS implementation was associated with improved LOS, expedited feeding, ambulation and chest tube removal, without increasing AEs or readmissions, while maintaining a high level of patient satisfaction and QOL.
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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 | 0.015 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".