Outcomes of a Specialized Interdisciplinary Approach for Patients with Cancer with Aberrant Opioid-Related Behavior
Bibliographic record
Abstract
Abstract Background Data on the development and outcomes of effective interventions to address aberrant opioid-related behavior (AB) in patients with cancer are lacking. Our outpatient supportive care clinic developed and implemented a specialized interdisciplinary team approach to manage patients with AB. The purpose of this study was to report clinical outcomes of this novel intervention. Materials and Methods The medical records of 30 consecutive patients with evidence of AB who received the intervention and a random control group of 70 patients without evidence of AB between January 1, 2015, and August 31, 2016, were reviewed. Results At baseline, pain intensity (p = .002) and opioid dose (p = .001) were significantly higher among patients with AB. During the course of the study, the median number of ABs per month significantly decreased from three preintervention to 0.4 postintervention (p < .0001). The median morphine equivalent daily dose decreased from 165 mg/day at the first intervention visit to 112 mg/day at the last follow-up (p = .018), although pain intensity did not significantly change (p = .984). “Request for opioid medication refills in the clinic earlier than the expected time” was the AB with the highest frequency prior to the intervention and the greatest improvement during the study period. Younger age (p < .0001) and higher Edmonton Symptom Assessment System anxiety score (p = .005) were independent predictors of the presence of AB. Conclusion The intervention was associated with a reduction in the frequency of AB and opioid utilization among patients with cancer receiving chronic opioid therapy. More research is needed to further characterize the clinical effectiveness of this intervention. Implications for Practice There are currently no well-defined and evidence-based strategies to manage cancer patients on chronic opioid therapy who demonstrate aberrant opioid-related behavior. The findings of this study offer a promising starting point for the creation of a standardized strategy for clinicians and provides valuable information to guide their practice regarding these patients. The study results will also help clinicians to better understand the types and frequencies of the most common aberrant behaviors observed among patients with cancer who are receiving chronic opioid therapy. This will enhance the process of timely patient identification, management, or referral to the appropriate specialist teams.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".