The Alcohol Use Disorder and Associated Disabilities Interview Schedule-5 (AUDADIS-5): Reliability of substance use and psychiatric disorder modules in a general population sample

Grant, Bridget F.; Goldstein, Risë B.; Smith, Sharon; Jung, Jeesun; Zhang, Haitao; Chou, S. Patricia; Pickering, Roger P.; Ruan, W. June; Huang, Boji; Saha, Tulshi D.; Aivadyan, Christina; Greenstein, Eliana; Hasin, Deborah S.

doi:10.1016/j.drugalcdep.2014.11.026

Cited by 297 publications

(270 citation statements)

References 40 publications

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“…In the US, 14% of individuals meet criteria for alcohol use disorder (AUD; Grant et al, 2015), 13% for tobacco use disorder (TUD; Falk et al, 2006); 4% for cannabis use disorder (CUD; Hasin et al, 2015), 1% for opioid use disorder (OUD; Center for Behavioral Health Statistics and Quality, 2014; Saha et al, 2016). Men generally report higher rates of substance use disorders than women (Grant et al, 2015a; 2015b; Schulte et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

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Age trends in rates of substance use disorders across ages 18–90: Differences by gender and race/ethnicity

Vasilenko

Evans-Polce

Lanza

2017

Drug and Alcohol Dependence

125

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Background Although research has documented age differences in substance use, less is known about how prevalence of substance use disorders (SUDs) vary across age and differ by gender and race/ethnicity. Methods Time-varying effect models (TVEMs) were estimated on data from the National Epidemiologic Survey of Alcohol and Related Conditions–III (NESARC III; N = 36,309), a nationally representative survey of the adult population. The sample was 44% male; 53% White, 21% Black, 19% Hispanic/Latino, 6% other race/ethnicity. Prevalence of four SUDs (alcohol, tobacco, cannabis and opioid use disorders) were flexibly estimated across ages 18–90 by gender and race/ethnicity. Results Estimated SUD prevalences were generally higher for men compared to women at most ages until the 70s. However, disparities by race/ethnicity varied with age, such that for most SUDs, estimated prevalences were higher for White participants at younger ages and Black participants at older ages. Discussion Results suggest relatively constant disparities by gender across age, and a crossover effect for Black and White participants. Findings demonstrate that Black individuals in midlife may be an important target of intervention programs for some substances.

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Section: Introductionmentioning

confidence: 99%

“…Men generally report higher rates of substance use disorders than women (Grant et al, 2015a; 2015b; Schulte et al, 2009). Racial/ethnic differences in SUDs vary by drug.…”

Section: Introductionmentioning

confidence: 99%

Age trends in rates of substance use disorders across ages 18–90: Differences by gender and race/ethnicity

Vasilenko

Evans-Polce

Lanza

2017

Drug and Alcohol Dependence

125

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“…Recently, AUDADIS-5 DSM-5 SUDs were shown to have fair to excellent test-retest reliability (κ=.41–.87) (Grant et al, In Press). …”

Section: Introductionmentioning

confidence: 99%

The Alcohol Use Disorder and Associated Disabilities Interview Schedule-5 (AUDADIS-5): Procedural validity of substance use disorders modules through clinical re-appraisal in a general population sample

Hasin

Greenstein²,

Aivadyan³

et al. 2015

Drug and Alcohol Dependence

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203

148

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Background-The purpose of this study was to assess the procedural validity of the substance disorder modules of the lay-administered Alcohol Use Disorder and Associated Disabilities Interview Schedule, Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Version (AUDADIS-5) through clinician re-appraisal re-interviews. * Correspondence, Deborah S. Hasin, Department of Psychiatry, Columbia University Medical Center, 1051 Riverside Drive #123, New York, NY 10032. Phone: 1-646-774-7909, Fax: 1-646-774-7920; deborah.hasin@gmail.com. Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Disclaimer:The views and opinions expressed in this report are those of the authors and should not be construed to represent the views of sponsoring organizations, agencies, or the U.S. government. Author DisclosuresNo authors have any relevant financial interests. ContributorsDrs. Saha, Goldstein, Jung, Zhang and Grant collected, cleaned and analyzed the data and critically reviewed drafts of the manuscript. Dr. Hasin collected the data, wrote, and revised drafts of the manuscript. Ms. Greenstein, and Ms. Aivadyan collected, cleaned and analyzed the data and critically reviewed drafts of the manuscript. Ms. Stohl analyzed the data and critically reviewed drafts of the manuscript. Drs. Aharonovich and Nunes consulted to the data collection and critically reviewed drafts of the manuscript. All authors have read and approved of submission of this version of the manuscript. Conflict of InterestNo conflict declared. HHS Public Access Author Manuscript Author ManuscriptAuthor Manuscript Author ManuscriptMethods-The study employed a test-retest design among 712 respondents from the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III). A clinicianadministered, semi-structured interview, the Psychiatric Research Interview for Substance and Mental Disorders, DSM-5 version (PRISM-5) was used as the re-appraisal. Kappa coeffients indicated concordance of the AUDADIS-5 and PRISM-5 for DSM-5 substance use disorder diagnoses, while intraclass correlation coefficients (ICC) indicated concordance on dimensional scales indicating the DSM-5 criteria count for each disorder.Results-With few exceptions, concordance of the AUDADIS-5 and the PRISM-5 for DSM-5 diagnoses of substance use disorders ranged from fair to good (κ=0.40-0.72). Concordance on dimensional scales was excellent (ICC≥0.75) for the majority of DSM-5 SUD diagnoses, and fair to good (ICC=0.43-0.72) for most of the rest.Conclusions-As indicated by concordance with a semi-structured clinician-admi...

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“…The diagnostic interview was the fully structured Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-5 Version (AUDADIS-5; Grant et al, 2011), designed for experienced nonclinician interviewers. Extensive AUDADIS-5 questions covered both DSM-IV and DSM-5 criteria for SUDs associated with alcohol and 10 specific drug categories.…”

Section: Assessmentsmentioning

confidence: 99%

Nosologic Comparisons of DSM-IV and DSM-5 Alcohol and Drug Use Disorders: Results From the National Epidemiologic Survey on Alcohol and Related Conditions–III

Goldstein

Chou

Smith

et al. 2015

J. Stud. Alcohol Drugs

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ABSTRACT. Objective: The purpose of this study was to examine prevalences and concordances between Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), and Fifth Edition (DSM-5) substance use disorders (SUDs) in a newly completed U.S. epidemiologic survey. Method: The National Epidemiologic Survey on Alcohol and Related Conditions-III surveyed 36,309 civilian, noninstitutionalized adults. SUDs were assessed using the Alcohol Use Disorder and Associated Disabilities Interview Schedule-5. Concordances between DSM-IV and DSM-5 disorders were assessed using kappa statistics. Results: Prevalences of past-year substance-specific DSM-5 disorders (2+ criteria) were modestly higher than those of DSM-IV dependence and abuse combined for alcohol, sedatives/ tranquilizers, opioids, and heroin, but lower for cannabis, cocaine, and stimulants. Lifetime prevalences were lower under DSM-5. Prevalences were similar between moderate to severe (4+ criteria) DSM-5 disorders and dependence, whereas prevalences of DSM-5 disorders at 3+ criteria (DSM-5 [3+]) were higher, particularly for cannabis. Past-year concordances were excellent for DSM-IV dependence and abuse combined versus any DSM-5 and DSM-IV dependence versus DSM-5 moderate to severe disorders; lifetime concordances were fair to excellent. Past-year concordances between DSM-IV and DSM-5 (3+) were generally similar to or modestly higher than those with any DSM-5 disorder; lifetime concordances were mostly lower. Conclusions: Findings are consistent with those informing the development of DSM-5. Future research should examine differences in patterns between past-year and lifetime disorders, particularly for cannabis. Other questions warranting investigation include whether different combinations of the same numbers of criteria carry different clinical or nosologic implications, whether changes in nosology yield changes in treatment demand, and whether changes in characteristics of individuals with DSM-5 SUDs dictate modifications to screening and intervention. (J. Stud. Alcohol Drugs, 76, 378-388, 2015)

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The Alcohol Use Disorder and Associated Disabilities Interview Schedule-5 (AUDADIS-5): Reliability of substance use and psychiatric disorder modules in a general population sample

Cited by 297 publications

References 40 publications

Age trends in rates of substance use disorders across ages 18–90: Differences by gender and race/ethnicity

Age trends in rates of substance use disorders across ages 18–90: Differences by gender and race/ethnicity

The Alcohol Use Disorder and Associated Disabilities Interview Schedule-5 (AUDADIS-5): Procedural validity of substance use disorders modules through clinical re-appraisal in a general population sample

Nosologic Comparisons of DSM-IV and DSM-5 Alcohol and Drug Use Disorders: Results From the National Epidemiologic Survey on Alcohol and Related Conditions–III

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