Triage of Spine Surgery Referrals Through a Multidisciplinary Care Pathway
Bibliographic record
Abstract
STUDY DESIGN: Retrospective medical record review. OBJECTIVE: To (1) determine if outpatient referrals for low back pain (LBP) and leg pain triaged through a multidisciplinary spine care pathway (group A) were more likely to be candidates for surgery than conventional physician referrals (group B); (2) compare relevant clinical differences in the 2 groups (e.g., diagnosis, pain scores, level of disability); and (3) compare wait times for magnetic resonance imaging and surgical assessment. SUMMARY OF BACKGROUND DATA: The Saskatchewan Spine Pathway was introduced on the basis of evidence that a co-ordinated, multidisciplinary, and stratified approach to the assessment and management of LBP may improve quality. During early implementation, some physicians began to refer patients to Saskatchewan Spine Pathway clinics, whereas others continued to refer patients directly to the surgeon through the conventional process. METHODS: We retrospectively analyzed consecutive new outpatient referrals for LBP and leg pain, June 1, 2011 through May 30, 2012 for 2 surgeons. RESULTS: We identified 215 referrals, including 66 (30.7%) in group A and 149 (69.3%) in group B. There was no difference in overall health (mean EuroQol Group 5-Dimension Self-Report Questionnaire visual analogue scale) or lower back-related disability score (Oswestry Disability Index). Group A patients were significantly more likely to be candidates for surgery (59.1% vs. 37.6% for group B; P = 0.0034, χ test), had significantly poorer scores for EuroQol Group 5-Dimension Self-Report Questionnaire mobility, a higher proportion of leg dominant pain, and a lower proportion of back dominant pain. Group A patients also had significantly shorter wait times for magnetic resonance imaging and surgical assessment. CONCLUSION: A co-ordinated multidisciplinary pathway with a stratified approach to LBP assessment and care provided a greater proportion of surgery candidates than the conventional referral process. The implementation of such processes may allow surgeons to restrict their practices to patients who are more likely to benefit from their services, thereby reducing wait times and potentially reducing costs. LEVEL OF EVIDENCE: 3.
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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 | 0.000 |
| 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".