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- W4387161003 abstract "Introduction: There are increasing efforts among healthcare systems to promote safe opioid prescribing; however, best practice for minimizing overprescription is not established. Our study aimed to evaluate the effect of a tailored opioid prescribing algorithm on opioid prescription quantities. Methods: A tailored opioid prescribing algorithm was developed to provide a recommended prescription quantity based on inpatient opioid use. A retrospective analysis of opioid prescribing 3 months before and after implementation was performed. Our primary outcome was the number of oxycodone 5mg tablets prescribed. Patient satisfaction and unused opioid tablets were assessed by text message survey two weeks postpartum. Results: We included 549 (n=313 pre-implementation; n=236 post-implementation) patients who underwent cesarean delivery. Clinical characteristics were similar between groups. The median number of oxycodone 5mg tablets prescribed in the baseline group was 20 [interquartile range (IQR) 20-30], compared with 15 [IQR 3-20] in the tailored prescribing group (p<0.0001). For patients with no opioid use in the 24 h prior to discharge, the median number of tablets prescribed decreased from 20 [IQR 10-20] to 3 [IQR 0-15] following the intervention (p<0.0001). The proportion of patients discharged without an opioid prescription increased from 7% (23/313) in the baseline group to 24% (58/236) in the tailored prescribing group (odds ratio 0.23, 95% confidence interval (0.14, 0.39)). Conclusion: Tailored opioid prescribing reduced the number of opioid tablets prescribed and increased the proportion of patients who were discharged without an opioid prescription." @default.
- W4387161003 created "2023-09-30" @default.
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- W4387161003 date "2023-09-29" @default.
- W4387161003 modified "2023-10-14" @default.
- W4387161003 title "Reducing opioid prescribing after cesarean delivery by utilizing a tailored opioid prescribing algorithm" @default.
- W4387161003 doi "https://doi.org/10.1055/a-2184-0423" @default.
- W4387161003 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37774746" @default.
- W4387161003 hasPublicationYear "2023" @default.
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