Branding addiction therapies and reified specific factors

Magill, Molly

doi:10.1111/add.12803

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…It has also been argued that common factors, shared across most forms of psychotherapy, are the primary driver of change in response to psychotherapy (Wampold et al, 1997). Common factors (e.g., systematic therapist effects) account for a substantial amount of variability in outcomes of motivational-interviewing-based interventions (Magill, 2015; Miller, 2016; Miller & Moyers, 2015). The effect of common factors has been consistently found in tightly controlled alcohol interventions (Imel, Wampold, Miller, & Fleming, 2008; Project MATCH Research Group, 1998) as well as in the treatment of most other forms of psychopathology (Wampold & Imel, 2015).…”

Section: Common Factors Perspectivementioning

confidence: 99%

Testing variability in response to a brief alcohol intervention: The role of self-regulation and the therapeutic relationship.

Lopez-Vergara¹,

Merrill²,

Carey³

2018

Psychology of Addictive Behaviors

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The current study tests individual differences in response to a mandated brief motivational intervention (BMI) for college student drinking. Participants consisted of 99 (45% female) students who were referred for violating campus alcohol policy. Within-subject analyses suggest that the BMI led to a significant reduction in frequency of drinking and alcohol-related problems at the 1-month follow-up, with a nonsignificant trend in reduction of quantity of drinking and no difference in maximum level of drinking. However, there was a statistically significant amount of variability in response to the BMI across frequency, quantity, maximum, and alcohol-related problems. Individual differences in self-regulation and the strength of the therapeutic relationship were used to predict variability in change associated with participating in the intervention. Lower levels of self-regulation predicted more alcohol-related problems at 1 month following the BMI. A stronger therapeutic relationship predicted lower frequency, quantity, and maximum level of drinking at 1 month following the BMI. At the 12-month follow-up, there was a significant decay in the efficacy of the intervention, with a statistically significant amount of variability across all outcomes. Lower self-regulation was associated with more problems at 12 months. Individual differences in the therapeutic relationship were not associated with decay of efficacy between 1 and 12 months across any of the outcome variables. Results are consistent with both etiological heterogeneity and common factors models of the efficacy of psychotherapy, and extend these models to explaining outcomes of brief alcohol interventions in students mandated to treatment. (PsycINFO Database Record

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Section: Common Factors Perspectivementioning

confidence: 99%

Testing variability in response to a brief alcohol intervention: The role of self-regulation and the therapeutic relationship.

Lopez-Vergara¹,

Merrill²,

Carey³

2018

Psychology of Addictive Behaviors

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Predictors of effective therapy among individuals with Cannabis Use Disorder: a review of the literature

Feingold,

Tzur Bitan,

Ferri

et al. 2024

Eur Arch Psychiatry Clin Neurosci

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On having and eating cake

Miller

Moyers

2015

Addiction

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and the investigation of relational factors. In meta-analyses some variation will always exist, whether due to chance or to differences in trial context or content [5,6]. On its own, variance in a meta-analysis does not de-legitimize that meta-analysis, nor does it necessarily mask key causes of variation. Indeed, once these relational factors are specified, measured and tested in the same way in which specific factors are currently dealt with, meta-analyses of the trials of these new tests would still be subject to variation in outcome due to remaining unspecified factors.Miller & Moyers are right to point out that, in focusing exclusively on specific factors related to treatment content, research into addiction treatments may be overlooking important relational factors and their associated effects. However, in acknowledging genuine and measurable causes of variation-more trees, arguably-it is important that a true forest view is not obscured. Using existing methodology, findings can be aggregated without masking the impact of underlying mechanisms, as long as these potential mechanisms are identified in advance. Relational factors that can be measured empirically and in which therapists can be trained can be tested in randomized controlled trials, as has recently been done with empathy in the context of physician training [7,8]. Such trials could then be aggregated in meta-analyses. Even where not tested directly, the contribution of these relational factors could be examined in systematic reviews through meta-regression, as has already been performed with specific factors [9,10].

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Branding addiction therapies and reified specific factors

Cited by 3 publications

References 10 publications

Testing variability in response to a brief alcohol intervention: The role of self-regulation and the therapeutic relationship.

Testing variability in response to a brief alcohol intervention: The role of self-regulation and the therapeutic relationship.

Predictors of effective therapy among individuals with Cannabis Use Disorder: a review of the literature

On having and eating cake

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