RESUMO
OBJECTIVE: To implement Standard Opioid Prescribing Schedules (SOPS) based on opioid use following urologic surgeries and to evaluate how evidence-based prescribing schedules affect opioid use and patient reported outcomes. METHODS: Patients who underwent urologic surgeries within 6 procedure subtypes at UNC Health during the 2 study time periods ("pre-SOPS": 7/2017-1/2018, "post-SOPS": 7/2018-1/2019) were invited to complete a survey analyzing postoperative opioid usage, storage and disposal, and patient reported outcomes (including pain interference using a validated questionnaire). A pharmacy database provided medication prescribing data and patient demographics. During the pre-SOPS time period, baseline outcomes were measured. Following the pre-SOPS period, usage amounts were analyzed and Standard Opioid Prescribing Schedules were developed to guide prescriptions during the post-SOPS period. Descriptive summary statistics and appropriate t test or r2 were calculated. RESULTS: A total of 438 patients within 6 procedure types completed the survey (pre-SOPS: 282 patients, post-SOPS: 156 patients). Pre-SOPS, patients were prescribed significantly more 5-mg oxycodone tablets than used (20.9 vs 7.8, P <.001). Post-SOPS, compared to pre-SOPS amounts, patients were prescribed significantly fewer tablets (12.7 vs 20.9, P <.001) and used fewer tablets (5.3 vs 7.8, P = .003). No difference was observed in pain interference (average t-score (standard deviation): 54.33 (10.9) pre-SOPS vs 55.89 (9.1) post-SOPS, P = .125) or patient satisfaction (95% pre-SOPS vs 94% post-SOPS). CONCLUSION: Adherence to data-driven postoperative opioid prescribing schedules reduce opioid prescriptions and use without compromising pain interference or patient satisfaction. These results have important implications for urologists' ability to decrease opioid prescriptions and fight the opioid epidemic.