Emily Hazelton, Meaghan Mugleston, Sheena Bilmas, Anina Terry, Richard C Waters
{"title":"A Buprenorphine Retention Report to Measure Opioid Use Disorder Care Metrics and Guide Outreach.","authors":"Emily Hazelton, Meaghan Mugleston, Sheena Bilmas, Anina Terry, Richard C Waters","doi":"10.1177/29767342251341709","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>As opioid overdose rates remain high, systems-level tools are needed to monitor and improve the quality of care for opioid use disorder treatment. Although retention in care is a commonly used metric, the concept is variably defined in the literature, and clinics may not have real-time access to their own retention data.</p><p><strong>Methods: </strong>We designed a Structured Query Language (SQL)-based reporting tool to provide real-time and summative metrics related to buprenorphine retention. A retrospective observational design is used to characterize the summative metrics for an urban network of community health centers.</p><p><strong>Results: </strong>Among 569 patients started on buprenorphine between June 2020 and June 2022, by June 2023, 17% of patients remained actively engaged, 3% recently engaged, and 80% disengaged. Of those who disengaged, 55.4% did so after 3 or less prescriptions. The median duration of care was 5.3 months for all patients and 26.8 months for the 97 actively engaged patients. The median percentage of days covered by a buprenorphine prescription was 77.2% for actively engaged patients.</p><p><strong>Conclusion: </strong>Implementation of the SQL report has given the clinic network access to real-time, nuanced buprenorphine retention data and has guided targeted patient outreach.</p>","PeriodicalId":516535,"journal":{"name":"Substance use & addiction journal","volume":" ","pages":"29767342251341709"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Substance use & addiction journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/29767342251341709","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: As opioid overdose rates remain high, systems-level tools are needed to monitor and improve the quality of care for opioid use disorder treatment. Although retention in care is a commonly used metric, the concept is variably defined in the literature, and clinics may not have real-time access to their own retention data.
Methods: We designed a Structured Query Language (SQL)-based reporting tool to provide real-time and summative metrics related to buprenorphine retention. A retrospective observational design is used to characterize the summative metrics for an urban network of community health centers.
Results: Among 569 patients started on buprenorphine between June 2020 and June 2022, by June 2023, 17% of patients remained actively engaged, 3% recently engaged, and 80% disengaged. Of those who disengaged, 55.4% did so after 3 or less prescriptions. The median duration of care was 5.3 months for all patients and 26.8 months for the 97 actively engaged patients. The median percentage of days covered by a buprenorphine prescription was 77.2% for actively engaged patients.
Conclusion: Implementation of the SQL report has given the clinic network access to real-time, nuanced buprenorphine retention data and has guided targeted patient outreach.