Comparing Rationale for Opioid Prescribing Decisions after Surgery with Subsequent Patient Consumption: A Survey of the Highest Quartile of Prescribers

Author:

Beaulieu-Jones Brendin R12,Marwaha Jayson S12,Kennedy Chris J12,Le Danny3,Berrigan Margaret T1,Nathanson Larry A4,Brat Gabriel A12

Affiliation:

1. From the Departments of Surgery (Beaulieu-Jones, Marwaha, Kennedy, Berrigan, Brat), Beth Israel Deaconess Medical Center, Boston, MA

2. Department of Biomedical Informatics, Harvard Medical School, Boston, MA (Beaulieu-Jones, Marwaha, Kennedy, Brat)

3. David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA (Le).

4. Emergency Medicine (Nathanson), Beth Israel Deaconess Medical Center, Boston, MA

Abstract

BACKGROUND: Opioid prescribing patterns, including those after surgery, have been implicated as a significant contributor to the US opioid crisis. A plethora of interventions—from nudges to reminders—have been deployed to improve prescribing behavior, but reasons for persistent outlier behavior are often unknown. STUDY DESIGN: Our institution employs multiple prescribing resources and a near real-time, feedback-based intervention to promote appropriate opioid prescribing. Since 2019, an automated system has emailed providers when a prescription exceeds the 75th percentile of typical opioid consumption for a given procedure—as defined by institutional data collection. Emails include population consumption metrics and an optional survey on rationale for prescribing. Responses were analyzed to understand why providers choose to prescribe atypically large discharge opioid prescriptions. We then compared provider prescriptions against patient consumption. RESULTS: During the study period, 10,672 eligible postsurgical patients were discharged; 2,013 prescriptions (29.4% of opioid prescriptions) exceeded our institutional guideline. Surveys were completed by outlier prescribers for 414 (20.6%) encounters. Among patients where both consumption data and prescribing rationale surveys were available, 35.2% did not consume any opioids after discharge and 21.5% consumed <50% of their prescription. Only 93 (39.9%) patients receiving outlier prescriptions were outlier consumers. Most common reasons for prescribing outlier amounts were attending preference (34%) and prescriber analysis of patient characteristics (34%). CONCLUSIONS: The top quartile of opioid prescriptions did not align with, and often far exceeded, patient postdischarge opioid consumption. Providers cite assessment of patient characteristics as a common driver of decision-making, but this did not align with patient usage for approximately 50% of patients.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Surgery

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