Literature Collection
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References
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Articles
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Grey Literature
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Opioids & SU
The Literature Collection contains over 11,000 references for published and grey literature on the integration of behavioral health and primary care. Learn More
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OBJECTIVE: Buprenorphine is a highly effective treatment for opioid use disorders, but its continuation in the perioperative setting remains controversial, unlike the accepted practice of perioperative methadone continuation. METHODS: We conducted a retrospective cohort study from 2006 to 2014 comparing post-cesarean section opioid analgesic requirements of women with opioid use disorders treated with methadone or buprenorphine. Preoperative, intraoperative, and postoperative opioid requirements (morphine equivalent dose [MED]), postoperative complications, and length of stay were compared between the methadone and buprenorphine groups. RESULTS: During the 9-year study period, there were 185 women treated with methadone (mean dose 93.7 mg, SD 2.6) and 88 women treated with buprenorphine (mean dose 16.1 mg, SD 7.8). There were no statistically significant differences in MED requirements in the methadone versus buprenorphine groups: preoperative MED (11.4 mg [SD 31.5] vs 20.0 mg [SD 15.1]; mean difference [MD] 8.6, 95% confidence interval [CI] -1.9, 19.1), intraoperative MED (3.5 mg [SD 6.6] vs 5.2 mg [SD 13.7]; MD 1.8, 95% CI -1.1, 4.6), and postoperative MED during hospitalization (97.7 mg [SD 65.6] vs 85.1 mg [SD 73.0]; MD -12.6, 95% CI -31.1, 5.8). There were no statistically significant differences in postoperative complications or length of stay. CONCLUSIONS: Our study suggests that buprenorphine treatment will not interfere more than methadone with pain management after a cesarean section with no significant differences in opioid analgesic requirements, postoperative complications, or length of hospital stay. Future studies should investigate the generalizability to other surgeries.

INTRODUCTION: Academic detailing, an educational outreach that promotes evidence-based practices to improve the quality of care for patients, has primarily been delivered using one-on-one in-person interactions. In 2018, the U.S. Department of Veterans Affairs (VA) Pharmacy Benefits Management implemented a pilot virtual academic detailing program to increase naloxone prescribing among veterans at risk for opioid overdose or death. The aim of this evaluation was to compare virtual and in-person academic detailing on naloxone prescribing rates at VA. METHODS: A retrospective quasi-experimental pretest-posttest non-equivalent groups design was used to compare virtual academic detailing and in-person academic detailing on naloxone prescribing rates 12 months before and after providers received a naloxone-specific encounter at three VA regional networks between January 1, 2018 to May 31, 2020. Subgroup analysis was performed on rural providers. Generalized estimating equation models were constructed to compare the difference in naloxone prescribing rates before and after receiving virtual or in-person academic detailing controlling for provider-level characteristics. RESULTS: Providers who received virtual (N = 67) or in-person (N = 186) academic detailing had significant increases in naloxone prescribing, but the differences in the naloxone rates between the groups were not statistically significant (difference in changes in naloxone rates=+0.63; 95% CI: -2.23, 3.48). Similar findings were reported for rural providers. DISCUSSION: Providers who received naloxone-related in-person or virtual academic detailing had increased naloxone prescribing rates; however, there were no differences between the two types of modalities. Virtual academic detailing is a viable alternative for delivering academic detailing and allows academic detailers to expand their reach to rural providers.

This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.