OBJECTIVE: To examine the relationship between aspects of surgical intensity and postoperative opioid prescribing. SUMMARY OF BACKGROUND DATA: Despite the emergence of postoperative prescribing guidelines, recommendations are lacking for many procedures. identifying a framework based on surgical intensity to guide prescribing for those procedures in which guidelines may not exist could inform postoperative prescribing. METHODS: We used clustering analysis with 4 factors of surgical intensity (intrinsic cardiac risk, pain score, median operative time, and work relative value units) to devise a classification system for common surgical procedures. We used IBM MarketScan Research Database (2010-2017) to examine the correlation between this framework with initial opioid prescribing and rates of refill for each cluster of procedures. RESULTS: We examined 2,407,210 patients who underwent 128 commonly performed surgeries. Cluster analysis revealed 5 ordinal clusters by intensity: low, mid-low, mid, mid-high, and high. We found that as the cluster-order increased, the median amount of opioid prescribed increased: 150 oral morphine equivalents (OME) for low-intensity, 225 OME for mid-intensity, and 300 OME for high-intensity surgeries. Rates of refill increased as surgical intensity also increased, from 17.4% for low, 26.4% for mid, and 48.9% for high-intensity procedures. The odds of refill also increased as cluster-order increased; relative to low-intensity procedures, high-intensity procedures were associated with 4.37 times greater odds of refill. CONCLUSION: Surgical intensity is correlated with initial opioid prescribing and rates of refill. Aspects of surgical intensity could serve as a guide for procedures in which guidelines based on patient-reported outcomes are not available.
OBJECTIVE: To examine the relationship between aspects of surgical intensity and postoperative opioid prescribing. SUMMARY OF BACKGROUND DATA: Despite the emergence of postoperative prescribing guidelines, recommendations are lacking for many procedures. identifying a framework based on surgical intensity to guide prescribing for those procedures in which guidelines may not exist could inform postoperative prescribing. METHODS: We used clustering analysis with 4 factors of surgical intensity (intrinsic cardiac risk, pain score, median operative time, and work relative value units) to devise a classification system for common surgical procedures. We used IBM MarketScan Research Database (2010-2017) to examine the correlation between this framework with initial opioid prescribing and rates of refill for each cluster of procedures. RESULTS: We examined 2,407,210 patients who underwent 128 commonly performed surgeries. Cluster analysis revealed 5 ordinal clusters by intensity: low, mid-low, mid, mid-high, and high. We found that as the cluster-order increased, the median amount of opioid prescribed increased: 150 oral morphine equivalents (OME) for low-intensity, 225 OME for mid-intensity, and 300 OME for high-intensity surgeries. Rates of refill increased as surgical intensity also increased, from 17.4% for low, 26.4% for mid, and 48.9% for high-intensity procedures. The odds of refill also increased as cluster-order increased; relative to low-intensity procedures, high-intensity procedures were associated with 4.37 times greater odds of refill. CONCLUSION: Surgical intensity is correlated with initial opioid prescribing and rates of refill. Aspects of surgical intensity could serve as a guide for procedures in which guidelines based on patient-reported outcomes are not available.
Authors: Catherine L Chen; Zhonghui Guan; Erica Langnas; Andrew Bishara; Rhiannon Croci; Rosa Rodriguez-Monguio; Elizabeth C Wick Journal: BMC Anesthesiol Date: 2022-05-11 Impact factor: 2.376