Revisiting the Drinker Inventory of Consequences: An extensive evaluation of psychometric properties in two alcohol clinical trials.

Kirouac, Megan; Witkiewitz, Katie

doi:10.1037/adb0000344

Cited by 14 publications

(17 citation statements)

References 46 publications

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“…In fact, the effect sizes and R 2 values for these non‐consumption outcomes were similar to those for widely used consumption outcomes of PDA and PHDD. The findings for the DrInC were less clear, which may be explained by the DrInC only being administered to some abstainers in Project MATCH and also potential problems with the psychometric properties of the DrInC .…”

Section: Discussionmentioning

confidence: 86%

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Predictive value of non‐consumption outcome measures in alcohol use disorder treatment

Kirouac

Witkiewitz

2019

Addiction

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Background and Aims For decades, researchers have called for the systematic inclusion of non-consumption outcomes, such as alcohol-related consequences and temptation/craving, in addition to consumption outcomes (e.g. percentage of days abstinent) to evaluate alcohol use disorder (AUD) treatment efficacy. However, Food and Drug Administration (FDA) guidelines for alcohol medications development suggest that non-consumption outcomes may be insensitive to changes that occur within AUD treatment trial assessment windows, although this has never been directly tested. We aimed to measure the predictive value of diagnostically related, non-consumption measures of AUD treatment effects.Methods Pre-to post-treatment effect sizes were examined. Logistic regression analyses were used to test the predictive value of non-consumption outcome measures that were administered in the COMBINE (Combined Pharmacotherapies and Behavioral Interventions for Alcohol Dependence) Study and Project MATCH (Matching Alcoholism Treatment to Client Heterogeneity) in detecting 12-month outcomes following treatment. Results Pre-to post-treatment effect sizes suggested that non-consumption measures changed during the course of treatment; effect sizes for temptation/craving, self-efficacy, consequences and consumption variables were mostly medium to large (medium effect sizes were 0.2 < dz < 0.8, large effect sizes were dz > 0.8). The regression results indicated temptation/craving and self-efficacy predicted 12-month drinking outcomes in COMBINE and MATCH, and drinking consequences predicted 12-month drinking outcomes in COMBINE. Conclusions Self-report measures of temptation and alcohol craving can change as a result of alcohol dependence treatment and can predict drinking outcomes.

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Section: Discussionmentioning

confidence: 86%

“…All patients were administered the DrInC in COMBINE. See Kirouac & Witkiewitz for further discussion and evaluation of the psychometric properties of the DrInC as administered in COMBINE and MATCH.…”

Section: Methodsmentioning

confidence: 99%

Predictive value of non‐consumption outcome measures in alcohol use disorder treatment

Kirouac

Witkiewitz

2019

Addiction

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“…The ACCE covers one of the shortcomings noted by Falk et al (2010) and Kirouac and Witkiewitz (2018) in regard to analyzing the utility of consequences thorough psychological work as a sensitive measure over indicators of quantity of consumption while preforming interventions.…”

Section: Discussionmentioning

confidence: 99%

Psychometric Properties of the “Alcohol Consumption Consequences Evaluation” (ACCE) Scale for Young Spanish University Students

2020

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Instruments that evaluate alcohol use consequences among young people do not consider the intensive alcohol consumption pattern that is so characteristic during these ages. Some of these instruments are even ineffective in the Spanish population. Hence the interest in developing an instrument more adapted to the reality of our young people. A total of 601 university students (35.9% male and 64.1% female) from 18 to 20 years old were recruited. All of them answered a total of 77 items obtained from the review of both the scientific literature and the different scales used to measure consequences derived from alcohol consumption. In addition, they completed the AUDIT and the Timeline Followback for self-reported consumption. The data were analyzed using factor analysis and a two-parameter logistic model. ROC curve analysis was used to establish cutoff points for different risk levels of alcohol consumption distinguishing between genders. The final 43-item scale Alcohol Consumption Consequences Evaluation (ACCE) (Evaluación de Consecuencias derivadas del Consumo de Alcohol [ECCA]) shows adequate psychometric properties: α = 0.94; unidimensionality through exploratory factor analysis (EFA) (26.25% of explained variance) and confirmatory factor analysis (CFA) (RMSEA = 0.39; TLI and CFI > 0.90). In addition, ROC analyses, both at a global scale and distinguishing between genders, were able to characterize consumers with different levels of risk, obtaining areas under the curve between 0.82 and 0.88. A scale has been obtained that enables the establishment of cutoff points to distinguish between the consequences of low, moderate and high risk alcohol consumption. The clinical utility of the ACCE is highlighted by using one single instrument to perform the screening of a possible alcohol risk consumption as well as identifying the consequences that need to be worked on in the evaluated person's or group's intervention.

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“…Such non-consumption definitions would not only address the limitations inherent with drink size misestimation but would also address decades’ worth of researchers’ calls for more client individualized definitions of treatment success (44–46). Additional research in identifying measures of non-consumption outcomes with the best psychometric properties and greatest sensitivity and specificity for short- and long-term outcomes is needed so AUD treatment researchers can adopt consistent “yardsticks of success” (37; 47,48,49).…”

Section: Discussionmentioning

confidence: 99%

Consumption outcomes in clinical trials of alcohol use disorder treatment: Consideration of standard drink misestimation

Kirouac

Kruger

Wilson

et al. 2019

The American Journal of Drug and Alcohol Abuse

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Background. The Food and Drug Administration recently added a new clinical endpoint for evaluating the efficacy of alcohol use disorder (AUD) treatment that is more inclusive of treatment goals besides abstinence: no heavy drinking days (NHDD). However, numerous critiques have been noted for such binary models of treatment outcome. Further, there is mounting evidence that participants inaccurately estimate the quantities of alcohol they consume during drinking episodes (i.e., drink size misestimation), which may be particularly problematic when using a binary criterion (NHDD) compared to a similar, continuous alternative outcome variable: percent heavy drinking days (PHDD). Yet, the impact of drinking misestimation on binary (e.g., NHDD) versus continuous outcome variables (e.g., PHDD) has not been studied. Objectives. Using simulation methods, the present study examined the potential impact of drink size misestimation on NHDD and PHDD. Methods. Data simulations were based on previously published findings of the amount of error in how much alcohol is actually poured when estimating standard drinks. We started with self-reported daily drinking data from COMBINE study participants with complete data (N = 888; 68.1% male), then simulated inaccuracy in those estimations based on literature on standard drink size misestimation. Results. Clinical trial effect sizes were consistently lower for NHDD than for PHDD. Drink size misestimation further lowered effect sizes for NHDD and PHDD. Conclusions. Drink size misestimation may lead to inaccurate conclusions about drinking outcomes and the comparative effectiveness of AUD treatments, including inflated type-II error rates, particularly when treatment “success” is defined by binary outcomes such as NHDD.

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Revisiting the Drinker Inventory of Consequences: An extensive evaluation of psychometric properties in two alcohol clinical trials.

Cited by 14 publications

References 46 publications

Predictive value of non‐consumption outcome measures in alcohol use disorder treatment

Predictive value of non‐consumption outcome measures in alcohol use disorder treatment

Psychometric Properties of the “Alcohol Consumption Consequences Evaluation” (ACCE) Scale for Young Spanish University Students

Consumption outcomes in clinical trials of alcohol use disorder treatment: Consideration of standard drink misestimation

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