Impact of economic crisis on indications for general versus local anaesthesia in head and neck surgery: a single centre analysis
Bibliographic record
Abstract
Objective: To analyze the impact of the hospital board’s cost saving measure on physicians’ decision to indicate head and neck surgery according to the type of anaesthesia (general versus local). Methods: Design: a retrospective analysis of medical charts on head and neck surgery and anaesthesia covering 2011-2012. Setting: department of otorhinolaryngology and head and neck surgery, university hospital, Croatia. Participants: patients undergoing head and neck surgery. Intervention(s): reduction of departmental financial fund for general anaesthesia for 10%. Main Outcome Measure(s): an overall of number of head and neck surgeries performed in general versus local anaesthesia before and after the implementation of the intervention measure. Results: There were a total of 984 head and neck surgeries in general anaesthesia in 2011 and 861 in 2012. There were a total of 460 head and neck surgeries in local anaesthesia in 2011 and 528 in 2012. The performance of head and neck surgeries in general anaesthesia was significantly reduced in a year after the implementation of the intervention (p = .01) There was no statistical significant difference in the performance of head and neck surgeries in local anaesthesia before and after the intervention. Conclusions: The reduction of departmental fund for general anaesthesia as a cost saving method resulted only in reducing the total performance of surgeries in general anaesthesia without any switch to performing surgeries in local anaesthesia. It seems that the hospital board’s cost saving measure did not have any impact on physicians’ decisions to indicate more surgeries in local anaesthesia.
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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) | 0.001 | 0.001 |
| 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".