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Updated: Jan 2, 2026

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
Published on: January 27, 2010
Reduction of Opioid Use After Upper-Extremity Surgery through a Predictive Pain Calculator and Comprehensive Pain
Marissa D Jamieson1, Joshua S Everhart1, James S Lin1
1Department of Orthopaedics, The Ohio State University Wexner Medical Center, Columbus, OH.
Purpose:
For outpatient hand and upper-extremity surgeries, opioid prescriptions may exceed the actual need for adequate pain control. The purposes of this study were to (1) determine rates of opioid wasting and consumption after these procedures and (2) create and implement a patient-specific calculator for opioid requirements with a detailed multimodal analgesic plan to guide postoperative prescriptions.
Methods:
Patients undergoing hand and upper-extremity surgery at a single ambulatory surgery center were recruited before (n = 305) and after (n = 221) implementation of a postoperative pain control program. On the first postoperative visit, patients were given a questionnaire regarding opioid use and pain control satisfaction. Demographic and procedural data were collected via chart review. With these data from the first cohort, we developed a patient-specific opioid calculator and pain plan that was implemented for the second cohort of patients. Bivariate analysis and multivariable regression analysis were used to determine the effect of the intervention.
Results:
Pre-intervention data suggested that younger age; baseline opioid use; use of regional block; unemployment; procedures involving bony, tendinous, or ligamentous work (as opposed to soft tissue alone); and longer procedure time were predictive of higher opioid consumption. Pre- and post-intervention cohorts had similar age and sex distributions as well as procedure length. After the intervention, opioids prescribed decreased 63% from a mean of 32.0 ± 15.0 pills/surgery or 194.5 ± 120.2 morphine milligram equivalents (MMEs) to 11.7 ± 8.9 pills/surgery or 86.4 ± 67.2 MMEs. Opioid consumption decreased 58% from a mean of 21.7 ± 25.0 pills/surgery (137.7 ± 176.4 MMEs) to 9.3 ± 16.7 (64.4 ± 113.4 MMEs). Opioid wastage decreased 62% from 13.8 ± 13.5 pills/surgery (62.8 ± 138.0 MMEs) to 5.2 ± 10.3 (24.8 ± 89.9 MMEs). Implementation of the pain plan and calculator did not affect the odds of unsatisfactory patient-rated pain control or unplanned opioid refills.
Conclusions:
With implementation of a comprehensive pain plan for ambulatory upper-extremity surgery, it is possible to reduce opioid prescription, consumption, and wastage rates without compromising patient satisfaction with pain control or increasing rates of unplanned pain medication refills.
Type Of Study/Level Of Evidence:
Therapeutic II.
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