Predicting Addiction Severity Index (ASI) interviewer severity ratings for a computer-administered ASI.

Butler, Stephen F.; Newman, Frederick L.; Cacciola, John S.; Frank, Arlene; Budman, Simon H.; McLellan, A. Thomas; Ford, Sabrina D.; Blaine, Jack; Gastfriend, David R.; Moras, Karla; Salloum, Ihsan M.; Barber, Jacques P.

doi:10.1037/1040-3590.10.4.399

Cited by 25 publications

(19 citation statements)

References 17 publications

(27 reference statements)

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“…The ASI–MV is self-administered, requires no training and minimal staff time, and eliminates interviewer variability. The ASI-MV has excellent test-retest reliability, good criterion validity, and convergent-discriminant validity that is equal to or stronger than the original convergent-discriminant validity evidence for the ASI (Butler et al, 1998; McLellan et al, 1980). …”

mentioning

confidence: 89%

A computer adaptive testing version of the Addiction Severity Index—Multimedia Version (ASI–MV): The Addiction Severity CAT.

Butler¹,

Black²,

McCaffrey³

et al. 2017

Psychology of Addictive Behaviors

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The purpose of this study was to develop and validate a computer adaptive testing (CAT) version of the Addiction Severity Index-Multimedia Version (ASI-MV®), the Addiction Severity CAT. This goal was accomplished in four steps. First, new candidate items for Addiction Severity CAT domains were evaluated after brainstorming sessions with experts in substance abuse treatment. Next, this new item bank was psychometrically evaluated on a large non-clinical (n =4419) and substance abuse treatment sample (n =845). Based on these results, final items were selected and calibrated for the creation of the Addiction Severity CAT algorithms. Once the algorithms were developed for the entire assessment, a fully functioning prototype of an Addiction Severity CAT was created. CAT simulations were conducted and optimal termination criteria were selected for the Addiction Severity CAT algorithms. Finally, construct validity of the CAT algorithms was evaluated by examining convergent/discriminant validity and sensitivity to change. The Addiction Severity CAT was determined to be valid, sensitive to change, and reliable. Further, the Addiction Severity CAT’s time of administration was found to be significantly less than the average time of administration for the ASI-MV composite scores. This study represents the initial validation of an IRT-based Addiction Severity CAT, and further exploration of the Addiction Severity CAT is needed.

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mentioning

confidence: 89%

A computer adaptive testing version of the Addiction Severity Index—Multimedia Version (ASI–MV): The Addiction Severity CAT.

Butler¹,

Black²,

McCaffrey³

et al. 2017

Psychology of Addictive Behaviors

Self Cite

View full text Add to dashboard Cite

show abstract

“…The Addiction Severity Index has been the mainstay for drug treatment intake assessments since 1980, going through numerous revisions (McLellan et al, 1992), checks for internal consistency and validity (Leonhard, Mulvey, Gastfriend, & Shwartz, 2000), efforts to establish clinical norms (Weisner, McLellan, & Hunkeler, 2000), conversions to computer-assisted applications (Butler et al, 1998(Butler et al, , 2001, dissemination within new technologies (Carise, Cornely, & Gurel, 2002), and comparisons with alternative assessments (Joe, Simpson, Greener, & Rowan-Szal, in press). Continuing growth in technology makes Internet-based or on-line assessments a high priority for development and information management (Buchanan, 2002), but more work and resources clearly are needed.…”

Section: Defining Practical Patient Performance and Treatment Processmentioning

confidence: 99%

A conceptual framework for drug treatment process and outcomes

Simpson¹

2004

Journal of Substance Abuse Treatment

287

265

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“…In fact, they found that all but one state studied required a master's degree for mental health counselor credentials, whereas the majority of states required a bachelor's degree or lower for substance abuse counselor credentials (Kerwin et al, 2006). It is likely that, with additional training, counselors could be taught to use the severity ratings more accurately Butler et al, 1998).…”

Section: Discussionmentioning

confidence: 96%

Identifying Need for Mental Health Services in Substance Abuse Clients

Mericle

Martin

Carise

et al. 2012

Journal of Dual Diagnosis

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Objective: Counselor detection of co-occurring disorders is critical to ensuring that clients with mental disorders entering substance abuse treatment receive appropriate care. This study sought to (a) examine correspondence between client-reported psychiatric symptoms and client and counselor ratings of need for mental health treatment and (b) explore client-and program-level characteristics associated with client and counselor underrating. Methods: Psychiatric symptoms and client and counselor ratings of need for mental health services were collected using the Addiction Severity Index (ASI) among 3,972 clients entering outpatient substance abuse treatment at 30 treatment programs across the U.S. Kappa statistics were used to determine level of agreement between client-reported symptoms and client and counselor ratings of need for mental health treatment. Multilevel modeling was used to examine characteristics associated with underrating. Results: While agreement between symptoms and ratings of need for mental health treatment was fairly high (kappas = .62-.73), there was a substantial amount of underrating. Approximately 54% (n = 2,128) of clients had at least some psychiatric problems based on symptoms reported in the ASI, and 30% (n = 630) of these clients underrated their need for mental health services. Counselors also underrated need for mental health services in 32% (n = 691) of clients who reported psychiatric problems, even though 36% of them (250 of 691) indicated that obtaining treatment for mental health problems was important to them. Two factors emerged from the multivariate model for both client and counselor underrating of need for mental health services. Clients with psychiatric problems and a drug disorder were more likely than clients without a drug disorder (OR = 1.30, p < .05) to underrate their need for mental health services (as were counselors), and clients with psychiatric problems who were assessed at programs that were licensed by an outside agency were less likely (OR = 0.59, p < .01) to underrate their need for mental health services (as were counselors). Conclusions: Many clients entering substance abuse treatment also need mental health services, but this need may go unrecognized. It is imperative that counselors receive the training, supervision, and support necessary to appropriately identify mental disorders and help their clients access needed care. (Journal of Dual Diagnosis, 8:218-228, 2012)

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Predicting Addiction Severity Index (ASI) interviewer severity ratings for a computer-administered ASI.

Cited by 25 publications

References 17 publications

A computer adaptive testing version of the Addiction Severity Index—Multimedia Version (ASI–MV): The Addiction Severity CAT.

A computer adaptive testing version of the Addiction Severity Index—Multimedia Version (ASI–MV): The Addiction Severity CAT.

A conceptual framework for drug treatment process and outcomes

Identifying Need for Mental Health Services in Substance Abuse Clients

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