2014
DOI: 10.1177/1049731514547906
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Outcome Benchmarks for Adaptations of Research-Supported Treatments for Adult Traumatic Stress

Abstract: This article provides benchmark data on within-group effect sizes from published randomized controlled trials (RCTs) that evaluated the efficacy of research-supported treatments (RSTs) for adult traumatic stress. Agencies can compare these benchmarks to their treatment group effect size to inform their decisions as to whether the way they are adopting or adapting one of these RSTs is satisfactory or needs to be modified or replaced by a different intervention approach. These benchmarks also have potential util… Show more

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Cited by 10 publications
(26 citation statements)
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“…One implication of our study, therefore, is that efforts are needed to help community-based practitioners understand and utilize the benchmarks provided in this and other emerging benchmark studies, such as the studies by Rubin et al (2014) and Rubin and Yu (2015). For example, those practitioners might need assistance regarding what pre- to postoutcome measures to use and in calculating their within-group effect sizes.…”
Section: Discussion and Applications To Practicementioning
confidence: 99%
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“…One implication of our study, therefore, is that efforts are needed to help community-based practitioners understand and utilize the benchmarks provided in this and other emerging benchmark studies, such as the studies by Rubin et al (2014) and Rubin and Yu (2015). For example, those practitioners might need assistance regarding what pre- to postoutcome measures to use and in calculating their within-group effect sizes.…”
Section: Discussion and Applications To Practicementioning
confidence: 99%
“…To address the problem of limited availability of control groups in community-based intervention settings, a benchmarking strategy is gaining attention in clinical psychology (Minami, Wampold, Serlin, Kircher, & Brown, 2007;Spilka & Dobson, 2015) and social work (Rubin, 2014;Rubin et al, 2014;Rubin & Yu, 2015). This strategy involves calculating within-group effect sizes for clients treated in settings where control groups are not feasible, and comparing them to within-group effect-size benchmarks which have been calculated from synthesizing existing RCT data.…”
mentioning
confidence: 99%
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“…For nearly two decades, researchers and clinicians have emphasized the importance of utilizing research-supported treatments (RSTs; Chambless et al, 1996; Johnson, 2008; Rubin, Parrish, & Washburn, 2014; Wampold, 2001). Rating scales, like the widely used Outcome Questionnaire-45 (OQ; Lambert et al, 1996), have been used as tools to gauge the effectiveness of therapy.…”
mentioning
confidence: 99%