DRIVERS INFLUENCING EMERGENCY DEPARTMENT “BOUNCE BACKS” FOLLOWING SPINE SURGERY
Bibliographic record
Abstract
Emergency department (ED) crowding has become an epidemic in Canada and the assessment of post-operative “bounce backs” after spinal surgery is a critical aspect of both quality assurance and improvement efforts. Laminectomies and discectomies are among the most common surgical interventions for various spinal pathologies. Our primary objective was to identify “bounce back” patterns and potential areas for improvement in patient education and management, ultimately reducing the likelihood of presentation to the ED. All provincial ED datasets (EDIS, STAR & Meditech) were queried over 6 fiscal years identifying patients presenting within 90 days of spine surgery. Identification of surgical procedures was completed using the Canadian Classification of Health Interventions codes (1SC80 and 1SE87). A detailed chart review was conducted for each patient who rebounded to any provincial ED within 90 days of a laminectomy/discectomy. The reason for presentation to the ED was categorized as unrelated (medical) or related (surgical) to the procedure. Between April 1, 2016 – March 31, 2022, a total of 1032 laminectomies and 1133 discectomies were performed on 990 and 1036 patients, respectively. A total of 912 ED visits (n=448 post-laminectomy and n=464 post-discectomy) occurred within 90 days of 2165 surgeries. Reasons for ED visits were categorized as medical (42.6%) or surgical (57.4%). For ED visits related to their surgery, wound care (28.0%), pain management (26.5%) and bladder issues (17.9%) were the most common reasons for presentation. Drainage from the incision (serous or blood) and routine wound checks accounted for 59.1% and surgical site infections account for 27.2% of visits related to the wound. Patients presenting with pain as a primary complaint were discharged home with additional pain medications in 69.1% of cases, whereas 26.0% of patients presented in a pain crisis requiring hospital admission. A significant number of patients present to the ED following spine surgery. Multiple areas of care improvement have been identified. Immediate initiatives should be focused on post-operative education, pain management and system change to facilitate wound management outside of the ED.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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".