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Predicting Opioid Use Following Discharge After Cesarean Delivery.

Authors :
Carrico JA
Mahoney K
Raymond KM
McWilliams SK
Mayes LM
Mikulich-Gilbertson SK
Bartels K
Source :
Annals of family medicine [Ann Fam Med] 2020 Mar; Vol. 18 (2), pp. 118-126.
Publication Year :
2020

Abstract

Purpose: Although cesarean delivery is the most common surgical procedure in the United States, postoperative opioid prescribing varies greatly. We hypothesized that patient characteristics, procedural characteristics, or both would be associated with high vs low opioid use after discharge. This information could help individualize prescriptions.<br />Methods: In this prospective cohort study, we quantified opioid use for 4 weeks following hospital discharge after cesarean delivery. Predischarge characteristics were obtained from health records, and patients self-reported total opioid use postdischarge on weekly questionnaires. Opioid use was quantified in milligram morphine equivalents (MMEs). Binomial and Poisson regression analyses were performed to assess predictors of opioid use after discharge.<br />Results: Of the 233 patients starting the study, 203 (87.1%) completed at least 1 questionnaire and were included in analyses (86.3% completed all 4 questionnaires). A total of 113 patients were high users (>75 MMEs) and 90 patients were low users (≤75 MMEs) of opioids postdischarge. The group reporting low opioid use received on average 44% fewer opioids in the 24 hours before discharge compared with the group reporting high opioid use (mean = 33.0 vs 59.3 MMEs, P <.001). Only a minority of patients (11.4% to 15.8%) stored leftover opioids in a locked location, and just 31 patients disposed of leftover opioids.<br />Conclusions: Knowledge of predischarge opioid use can be useful as a tool to inform individualized opioid prescriptions, help optimize nonopioid analgesia, and reduce opioid use. Additional studies are needed to evaluate the impact of implementing such measures on prescribing practices, pain, and functional outcomes.<br /> (© 2020 Annals of Family Medicine, Inc.)

Details

Language :
English
ISSN :
1544-1717
Volume :
18
Issue :
2
Database :
MEDLINE
Journal :
Annals of family medicine
Publication Type :
Academic Journal
Accession number :
32152015
Full Text :
https://doi.org/10.1370/afm.2493