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Measuring clinically significant outcomes - LDQ, CORE-10 and SSQ as dimension measures of addiction.

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TLDR
Values for reliable change and clinically significant change for the Leeds Dependence Questionnaire and Social Satisfaction Questionnaire are determined and add to the evidence for the performance of the LDQ, CORE-10 and SSQ as dimension measures of addiction.
Abstract
Aims and method To determine values for reliable change and clinically significant change for the Leeds Dependence Questionnaire (LDQ) and Social Satisfaction Questionnaire (SSQ). The performance of these two measures with the Clinical Outcomes in Routine Evaluation (CORE-10) as three dimension measures of addiction was then explored. Results The reliable change statistic for both LDQ and SSQ was ⩾4; the cut-offs for clinically significant change were LDQ ⩽10 males, ⩽5 females, and SSQ ⩾16. There was no overlap of 95% CIs for means by gender between 'well-functioning' and pre- and post-treatment populations. Clinical implications These data enable the measurement of clinically significant change using the LDQ and SSQ and add to the evidence for the performance of the LDQ, CORE-10 and SSQ as dimension measures of addiction. The CORE-10 and SSQ can be used as treatment outcome measures for mental health problems other than addiction.

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Course and outcome of patients with alcohol use disorders following an alcohol intervention during hospital attendance: mixed method study.

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References
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Journal ArticleDOI

Clinical significance: a statistical approach to defining meaningful change in psychotherapy research.

TL;DR: In this paper, the authors defined clinically significant change as the extent to which therapy moves someone outside the range of the dysfunctional population or within the ranges of the functional population, and proposed a reliable change index (RC) to determine whether the magnitude of change for a given client is statistically reliable.
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Evaluating patient-based outcome measures for use in clinical trials.

TL;DR: This research highlights the need to understand more fully the rationale behind the continued use of these devices, as well as the barriers to their adoption.
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Methods for defining and determining the clinical significance of treatment effects: description, application, and alternatives.

TL;DR: This article summarizes and scrutinizes the growth of the development of clinically relevant and psychometrically sound approaches for determining the clinical significance of treatment effects in mental health research by tracing its evolution, by examining modifications in the method, and by discussing representative applications.
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