Data Collection and Harmonization in HIV Research: The Seek, Test, Treat, and Retain Initiative at the National Institute on Drug Abuse.

Large-scale, multisite data sets offer the potential for exploring the public health benefits of biomedical interventions. Data harmonization is an emerging strategy to increase the comparability of research data collected across independent studies, enabling research questions to be addressed beyond the capacity of any individual study. The National Institute on Drug Abuse recently implemented this novel strategy to prospectively collect and harmonize data across 22 independent research studies developing and empirically testing interventions to effectively deliver an HIV continuum of care to diverse drug-abusing populations. We describe this data collection and harmonization effort, collectively known as the Seek, Test, Treat, and Retain Data Collection and Harmonization Initiative, which can serve as a model applicable to other research endeavors.

The SOMATICS collaborative: Introduction to a National Institute on Drug Abuse cooperative study of pharmacotherapy for opioid treatment in criminal justice settings.

BACKGROUND: Among the nearly 750,000 inmates in U.S. jails, 12% report using opioids regularly, 8% report use in the month prior to their offense, and 4% report use at the time of their offense. Although ample evidence exists that medications effectively treat Opiate Use Disorder (OUD) in the community, strong evidence is lacking in jail settings. The general lack of medications for OUD in jail settings may place persons suffering from OUD at high risk for relapse to drug use and overdose following release from jail. METHODS: The three study sites in this collaborative are pooling data for secondary analyses from three open-label randomized effectiveness trials comparing: (1) the initiation of extended-release naltrexone [XR-NTX] in Sites 1 and 2 and interim methadone in Site 3 with enhanced treatment-as usual (ETAU); (2) the additional benefit of patient navigation plus medications at Sites 2 and 3 vs. medication alone vs. ETAU. Participants are adults with OUD incarcerated in jail and transitioning to the community. RESULTS: We describe the rationale, specific aims, and designs of three separate studies harmonized to enhance their scientific yield to investigate how to best prevent jail inmates from relapsing to opioid use and associated problems as they transition back to the community. CONCLUSIONS: Conducting drug abuse research during incarceration is challenging and study designs with data harmonization across different sites can increase the potential value of research to develop effective treatments for individuals in jail with OUD.

Unemployment and substance outcomes in the United States 2002-2010.

BACKGROUND: The economic shock of 2008-2009 provided an opportunity to study the robustness of observed statistical associations between unemployment and problematic substance use. METHODS: Data from 405,000 non-institutionalized adult participants in the 2002 to 2010 U.S. National Survey on Drug Use and Health were used to compare substance outcomes among unemployed and employed persons. Association of unemployment with substance outcomes was examined for the years 2002-2004, 2005-2007, 2008, and 2009-2010, corresponding to periods prior to and after the economic downturn of 2008. Multivariate logistic regression models adjusted for age, sex, race/ethnicity, education, urban/rural residence, current DSM-IV Major Depression, and local county unemployment rates. RESULTS: Higher rates of past month tobacco and illicit drug use, heavy alcohol use, and past-year drug or alcohol abuse/dependence were found among the unemployed. Markedly increased unemployment in 2009-2010 did not moderate the association between substance outcomes and employment. This association was not confounded by sex, age group, or race/ethnicity for tobacco and illicit drugs, although it varied for alcohol outcomes among 18-25 year-olds. Results based on retrospective data regarding marijuana use in the period prior to unemployment suggest its use was associated with future job loss. CONCLUSIONS: Employment status was strongly and robustly associated with problematic use of substances. Prevention and treatment interventions are warranted for a group whose employment and resulting insurance status may impair access to much needed health care.

Data compatibility in the addiction sciences: an examination of measure commonality.

The need for comprehensive analysis to compare and combine data across multiple studies in order to validate and extend results is widely recognized. This paper aims to assess the extent of data compatibility in the substance abuse and addiction (SAA) sciences through an examination of measure commonality, defined as the use of similar measures, across grants funded by the National Institute on Drug Abuse (NIDA) and the National Institute on Alcohol Abuse and Alcoholism (NIAAA). Data were extracted from applications of funded, active grants involving human-subjects research in four scientific areas (epidemiology, prevention, services, and treatment) and six frequently assessed scientific domains. A total of 548 distinct measures were cited across 141 randomly sampled applications. Commonality, as assessed by density (range of 0-1) of shared measurement, was examined. Results showed that commonality was low and varied by domain/area. Commonality was most prominent for (1) diagnostic interviews (structured and semi-structured) for substance use disorders and psychopathology (density of 0.88), followed by (2) scales to assess dimensions of substance use problems and disorders (0.70), (3) scales to assess dimensions of affect and psychopathology (0.69), (4) measures of substance use quantity and frequency (0.62), (5) measures of personality traits (0.40), and (6) assessments of cognitive/neurologic ability (0.22). The areas of prevention (density of 0.41) and treatment (0.42) had greater commonality than epidemiology (0.36) and services (0.32). To address the lack of measure commonality, NIDA and its scientific partners recommend and provide common measures for SAA researchers within the PhenX Toolkit.