One-year opioid consumption trajectories among individuals receiving multidisciplinary postsurgical care: a single-center observational study from the Toronto General Hospital Transitional Pain Service.

INTRODUCTION

The Transitional Pain Service (TPS) is an innovative, personalized approach to postsurgical opioid consumption and pain management. The objectives of this study were to identify trajectories of opioid consumption and pain intensity within 12 months after initiating treatment through the TPS, identify biopsychosocial factors associated with trajectory membership, and examine the relationship between trajectory membership and other outcomes of interest over the same 12-month period.

METHODS

Consecutive patients referred to the TPS were included in the present study (n=466). After providing informed consent, they completed self-report questionnaires at the initial visit at the TPS (either pre surgery or post surgery) and at every TPS visit until 12 months. Growth mixture modeling was used to derive trajectories and identify associated factors.

RESULTS

Results showed three distinct opioid consumption trajectories for both presurgical opioid consumers and opioid-naïve patients. These trajectories all decreased over time and among those who were consuming opioids before surgery that returned to presurgical levels. Being man, having a substance use disorder, or reporting higher levels of pain interference were associated with higher daily opioid consumption for presurgical opioid consumers. For presurgical opioid-naïve individuals, higher opioid consumption trajectories were associated with higher levels of psychological distress. Five pain intensity trajectories were identified, and there were no significant association between opioid consumption and pain intensity trajectories.

CONCLUSIONS

Results suggest that opioid consumption and pain intensity trajectories mostly decrease after surgery in a high-risk population enrolled in a TPS. Results also show heterogeneity in postsurgical recovery and highlight the importance of using personalized interventions to optimize individual trajectories.