Reducing Postoperative Opioid-prescribing Following Posterior Lumbar Fusion Does Not Significantly Change Patient Satisfaction
Bibliographic record
Abstract
STUDY DESIGN: Retrospective comparative; LOE-3. OBJECTIVE: The purpose of this study was to investigate what effect, if any, an institutional opioid reduction prescribing policy following one- or two-level lumbar fusion has on Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey results. SUMMARY OF BACKGROUND DATA: Previous research has demonstrated that high levels of opioid-prescribing may be related, in part, to a desire to produce superior patient satisfaction. METHODS: A retrospective review of prospectively collected data was conducted on patients who underwent one- or two-level lumbar fusions L3-S1 between October 2014 and October 2019 at a single institution. Patients with complete survey information were included in the analysis. Patients with a history of trauma, fracture, spinal deformity, fusions more than two levels, or prior lumbar fusion surgery L3-S1 were excluded. Cohorts were based on date of surgery relative to implementation of an institutional opioid reduction policy, which commenced in October 1, 2018. To better compare groups, opioid prescriptions were converted into milligram morphine equivalents (MME). RESULTS: A total of 330 patients met inclusion criteria: 259 pre-protocol, 71 post-protocol. There were 256 one-level fusions and 74 two-level fusions included. There were few statistically significant differences between groups with respect to patient demographics (P > 0.05) with the exception of number of patients who saw the pain management service, which increased from 36.7% (95) pre-protocol to 59.2% (42) post-protocol; P < 0.001. Estimated blood loss (EBL) decreased from 533 ± 571 mL to 346 ± 328 mL (P = 0.003). Percentage of patients who underwent concomitant laminectomy decreased from 71.8% to 49.3% (P < 0.001). Average opioids prescribed on discharge in the pre-protocol period was 534 ± 425 MME, compared to after initiation of the protocol, that is 320 ± 174 MME (P < 0.001). There was no statistically significant difference with respect to satisfaction with pain control, 4.49 ± 0.85 pre-protocol versus 4.51 ± 0.82 post-protocol (P = 0.986). CONCLUSION: A reduction in opioids prescribed at discharge after one- or two-level lumbar fusion is not associated with any statistically significant change in patient satisfaction with pain management, as measured by the HCAHPS survey.Level of Evidence: 3.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".