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Updated: Oct 9, 2025

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
Published on: January 27, 2010
Pre-Operative Assessment Tool To Predict Post-operative Pain and Opioid Use in Outpatient Urologic Surgery
Christi Butler1, Nnenaya Mmonu2, Andrew J Cohen3
1University of California, San Francisco, CA; Oregon Health and Science University, Portland, OR.
Objective:
To better understand the pain requirements of urologic patients in the post-operative outpatient setting. Healthcare providers are one of the leading contributors to the current opioid epidemic. Understanding opioid prescribing practices and patients' narcotic requirements while not over-prescribing opioids is a public health priority.
Methods:
We conducted a prospective study to examine opioid consumption among adult patients who presented for outpatient urologic surgery at the University of California San Francisco (UCSF) and Zuckerberg San Francisco General (ZSFG) hospitals. We administered a Pre-Operative Pain Requirement Assessment Tool (POPRAT) electronically via text message 3 days prior to surgery to identify objective factors that may predict post-operative pain and opioid requirements. Patients were followed for 7 days post-operatively, in a similar fashion, to assess daily pain, and opioid use.
Results:
Two hundred and sixty-four participants were eligible for the study and 211 completed the study. Urology patients undergoing outpatient elective procedures used a mean of 5 morphine milligram equivalents (MME) (SD = 14.9) in a 7-day period. Women and patients less than 45 years of age had the highest opioid use. Based on the POPRAT, major predictors of post-operative pain were pre-operative anxiety (0.34 estimate, P value <.001) and anticipated pain (0.34 estimate, P value <.001). Anticipated opioid use, however, did not predict actual opioid use.
Conclusion:
Urologic outpatient surgeries require minimal opioids for pain management. The POPRAT may help identify which patients may experience more pain after surgery. Certain factors such as age and gender may need to be considered when prescribing opioids.
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