Brian D. Kiluk

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Grant: Close

Identification of a Meaningful Cocaine Use Outcome Measure

Open Date: 2016-09-15

Close Date: 2018-08-31

Grant: Close

Identification of a Meaningful Cocaine Use Outcome Measure

Open Date: 2016-09-15

Close Date: 2021-08-31

Grant: Close

Efficacy and Mechanisms of CBT4CBT for Alcohol Use Disorders

Open Date: 2016-05-05

Close Date: 2021-04-30

Articles (13)

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Background A strong cooperative bond between the patient and provider (“therapeutic alliance”) is robustly associated with better alcohol use disorder (AUD) treatment outcomes. Although digital treatments for AUD have significant potential, the function of the alliance during digital programs is unclear. We compared the validity of patient‐reported measures of the alliance with a digital treatment (“digital alliance”) for AUD and the alliance with their clinician (“clinician alliance”). Methods We used data from an 8‐week, randomized clinical trial of a computerized cognitive behavioral therapy program (CBT4CBT) during outpatient AUD treatment. Treatment conditions included CBT4CBT with minimal clinical monitoring (CBT4CBT + monitor) or with treatment as usual (CBT4CBT + TAU). The digital alliance and clinician alliance were measured with similar versions of the Working Alliance Inventory (WAI). The WAI ratings were completed at the 2nd and 6th treatment sessions. A timeline followback calendar assessed daily alcohol use. Bayesian multilevel models compared the strength of the alliances and tested their associations with future alcohol use. Results Data from 43 participants were included (age M = 44; 65% male; 51% Black, 40% White, 9% other; 14% Hispanic). The digital alliance ratings had similar internal reliability as the clinician alliance ratings ( ω 's > 0.90). Differences between digital alliance and clinician alliance ratings were negligible in both treatment conditions ( BF 01 = 9 and 31). During treatment, within‐person increases in the digital alliance and the clinician alliance predicted modest decreases in future drinking to a similar degree ( BF 01 = 15). Alliance ratings were not associated with future drinking when posttreatment follow‐up drinking data were included ( BF 10 < 3). Conclusions The digital alliance with CBT4CBT was comparable to the clinician alliance. The digital alliance and clinician alliance had similar, albeit very small, associations with abstinence during treatment. Future research can explore how the digital alliance develops to improve AUD treatment efficacy.

Year:

2023

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2023

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2022

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2022

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2021

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2020

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2020

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2020

Year:

2020

Collaborators (7)

Brian Yates

Professor

American University

UNITED STATES
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Margo C. Hurlocker

University of New Mexico

UNITED STATES
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Kathleen Carroll

Professor

Yale University

UNITED STATES
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Alexis Kuerbis

Associate Professor

Hunter College

UNITED STATES
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Charla Nich

Yale University

UNITED STATES
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Bryan Benitez

Yale University

UNITED STATES
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Kevin Hallgren

University of Washington

UNITED STATES
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