Emily Hazelton, Meaghan Mugleston, Sheena Bilmas, Anina Terry, Richard C Waters
{"title":"测量阿片类药物使用障碍护理指标和指导外展的丁丙诺啡保留报告。","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":"{\"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}","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}
A Buprenorphine Retention Report to Measure Opioid Use Disorder Care Metrics and Guide Outreach.
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.