Deprescribing initiative of NSAIDs (DIN): Pharmacist-led interventions for pain management in a federal correctional setting
Bibliographic record
Abstract
Background: Nonsteroidal anti-inflammatory drugs (NSAIDs) are widely prescribed for management of pain and inflammation. However, these medications are associated with adverse outcomes such as dyspepsia and acute myocardial infarction, especially with long-term uses. Objective: We sought to determine the effect of a pharmacist-led deprescribing intervention on oral NSAID use among patients in federal custody. Methods: Clinical pharmacists from Correctional Services Canada (CSC) conducted a prospective case series of adult patients with chronic noncancer pain who were on long-term NSAIDs (defined as >90 days supply in the past 120 days) in 3 CSC institutions in British Columbia, Canada. CSC clinical pharmacists met with patients to perform medication reviews and identify drug-related problems, with a focus on analgesic therapy. Pharmacist-led interventions were implemented in consultation with the primary care team to address these drug-related problems. Patient progress was monitored weekly for 3 months. Function, quality of life and pain severity scores (modified SPAASMS, Patient-Specific Functional Scale [PSFS] and visual analog scale [VAS] scores) were compared at baseline, 6 weeks and 3 months postintervention. Patient satisfaction survey results were also collected at 3 months. Results: A total of 53 patients received clinical pharmacist interventions. Modified SPAASMS, PSFS and VAS scores were collected at baseline, 6 weeks and 3 months from 38 patients (some were lost to follow-up when released back into the community). All 38 patients demonstrated clinically significant improvements to all 3 pain scales at 3 months (mean SPAASMS scores decreased by 7 points, mean PSFS scores increased by 2 points, mean VAS scores decreased by 2 points). Twenty-four of 31 patients who completed the patient satisfaction survey agreed that their overall health and well-being improved because of the visit they received from the pharmacist. Conclusion: Clinical pharmacist-led interventions in CSC have shown to reduce oral NSAID use as well as contribute positively to patient pain scores.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".