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The Ohio Valley Node of the Clinical Trials Network

临床试验网络俄亥俄谷节点

基本信息

批准号：
10652032
负责人：
T John WINHUSEN
金额：
$ 37.9万
依托单位：
UNIVERSITY OF CINCINNATI
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-07-01 至 2023-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10652032
关键词：
Age Buprenorphine Caring Categories Characteristics Clinical Trials Network Code Cross-Over Studies Data Data Set Diagnosis Drug usage Electronic Health Record Goals ICD-9 Inpatients International Classification of Diseases International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10)Length Link Measures Methadone Modeling Naloxone Naltrexone Ohio Outcome Outcome Measure Outpatients Output Overdose reduction Patients Pharmaceutical Preparations Pharmacy facility Probability Psychiatric Diagnosis Public Health Race Relapse Retrospective cohort Social Security Number Specific qualifier value Time United States Veterans Veterans Health Administration Weight base cohort cost data repository data warehouse design digital repositories health care service improved indexing individual patient insight interest military veteran mortality opioid mortality opioid use disorder primary outcome secondary outcome systems of equations treatment effect vector

项目摘要

PUBLIC HEALTH ABSTRACT Medications for Opioid Use Disorder (MOUD), such as methadone, buprenorphine (with or without naloxone), and extended-release naltrexone, have been shown to reduce overdoses and drug use. However, MOUD retention is essential to attaining these outcomes. Unfortunately, only 50% or less of patients remain on MOUD 6 months after initiating treatment, a minimum standard established by the National Quality Forum. One possible approach to improving retention would be using patient characteristics to select the MOUD with which patients are most likely to be successful. This study will utilize VHA data sets to identify patient characteristics associated with improved MOUD retention by MOUD type as well as patient characteristics associated with successful MOUD discontinuation without relapse. We will use a retrospective cohort design using the International Classification of Disease, 9th and 10th edition (ICD-9/10-CM) codes to operationalize OUD since the years of data used for this study cross over the time of ICD-10 implementation (2015). Aim 1 is to identify patient characteristics associated with MOUD retention and opioid overdose death by MOUD type. Our primary outcome for Aim 1 will be a binary measure of retention defined as continuous coverage with the type of MOUD the patient originally initiated for 180 days after the index date without a 28- day gap in treatment. Secondary outcome measures will include (1) a binary measure of retention similar to the primary outcome but over the 365 days after the index date and (2) opioid overdose death in the 365 days after the index date using the VHA Mortality Data Repository. Aim 2 is to quantify the association between probability of relapse after MOUD discontinuation and both length of MOUD therapy and patient characteristics. The outcome for Aim 2 will be discontinuation with vs. without relapse.

公共卫生摘要