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• W3090371256 startingPage "108317" @default.
• W3090371256 abstract "Although buprenorphine is an evidence-based treatment for opioid use disorder (OUD), many individuals discontinue treatment soon after starting. This study assesses predictors of buprenorphine adherence using Prescription Drug Monitoring Program (PDMP) data. PDMP data for Philadelphia, Pennsylvania were used to measure 180-day adherence to buprenorphine among new initiates. Adherence was classified using percent days covered (PDC), and new initiates with PDC ≥ 0.80 were classified as adherent. Multivariable logistic regression was conducted to determine factors associated with buprenorphine adherence. Between January 2017 and December 2018, 10,669 Philadelphia residents initiated buprenorphine and 26.6 % remained adherent after 180 days. Demographic factors associated with greater odds of adherence included age category and female sex (aOR: 1.37; 95 % CI: 1.25–1.50). Those filling an opioid prescription, other than buprenorphine, during the follow-up period had lower odds of adherence than those who did not fill an opioid prescription (aOR: 0.62; 95 % CI: 0.50−0.77). Odds of adherence was greater for those on the film formulation (aOR: 1.37; 95 % CI: 1.25–1.50) than the tablet formulation. Those filling medium (aOR: 1.76; 95 % CI: 1.55–2.00) and high dose (aOR: 5.11; 95 % CI: 4.30–6.17) buprenorphine prescriptions had higher odds of adherence than those filling low dose prescriptions. Individual demographics, receipt of an opioid prescription, buprenorphine formulation, and buprenorphine dose were all associated with adherence to buprenorphine. Ongoing strategies to address OUD need to prioritize increasing retention in long-term evidence-based buprenorphine treatment while also encouraging providers to regularly consult the PDMP to ensure patient compliance." @default.
• W3090371256 created "2020-10-08" @default.
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• W3090371256 date "2020-11-01" @default.
• W3090371256 modified "2023-09-30" @default.
• W3090371256 title "Adherence to buprenorphine: An analysis of prescription drug monitoring program data" @default.
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• W3090371256 doi "https://doi.org/10.1016/j.drugalcdep.2020.108317" @default.
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