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Dose-effect relationship in routine outpatient psychotherapy: does treatment duration matter?

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TLDR
The dose-effect model, which posits diminishing effects of additional sessions in later treatment phases, is compared against a model that assumes a linear and steady treatment progress through termination, and the rate of change was found to be inversely related to the length of treatment.
Abstract
Objective: There is an ongoing debate concerning how outcome variables change during the course of psychotherapy. We compared the dose–effect model, which posits diminishing effects of additional sessions in later treatment phases, against a model that assumes a linear and steady treatment progress through termination. Method: Session-by-session outcome data of 6,375 outpatients were analyzed, and participants were categorized according to treatment length. Linear and log-linear (i.e., negatively accelerating) latent growth curve models (LGCMs) were estimated and compared for different treatment length categories. Results: When comparing the fit of the various models, the log-linear LGCMs assuming negatively accelerating treatment progress consistently outperformed the linear models irre- spective of treatment duration. The rate of change was found to be inversely related to the length of treatment. Conclusion: As proposed by the dose–effect model, the expected course of improvement in psychotherapy appears to follow a negatively accelerated pattern of change, irrespective of the duration of the treatment. However, our results also suggest that the rate of change is not constant across various treatment lengths. As proposed by the “good enough level” model, longer treatments are associated with less rapid rates of change.

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Effectiveness of Psychological Treatments for Depressive Disorders in Primary Care: Systematic Review and Meta-Analysis

TL;DR: There is evidence that psychological treatments are effective in depressed primary care patients and substantial evidence suggests that interventions that are less resource intensive might have effects similar to more intense treatments.
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A systematic review and meta-analysis of psychological interventions to improve mental wellbeing.

TL;DR: In this article, the authors examined the efficacy of distinct types of psychological interventions, irrespective of their theoretical underpinning, and the impact of various moderators, in a unified systematic review and meta-analysis.
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Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN).

TL;DR: The TTN reliably identified patients with a higher risk for no improvement or deterioration and indicated the usage of clinical problem-solving tools in risk areas, and predicted the prediction of optimal treatment strategies resulted in differential prediction models substantially improving effect sizes and reliable improvement rates.
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The dose-response effect in routinely delivered psychological therapies: A systematic review.

TL;DR: Replicated and consistent support was found for a curvilinear (log-linear or cubic) relationship between treatment length and outcomes, with few exceptions such as eating disorders and severe psychiatric populations.
Journal ArticleDOI

Trajectories of Change in Psychotherapy

TL;DR: The trajectories of change for clients are diverse, and they can ebb and flow more than traditional dose-effect and good-enough level models may suggest.
References
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A new look at the statistical model identification

TL;DR: In this article, a new estimate minimum information theoretical criterion estimate (MAICE) is introduced for the purpose of statistical identification, which is free from the ambiguities inherent in the application of conventional hypothesis testing procedure.
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TL;DR: 2 general approaches that come highly recommended: maximum likelihood (ML) and Bayesian multiple imputation (MI) are presented and may eventually extend the ML and MI methods that currently represent the state of the art.
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Inference and missing data

Donald B. Rubin
- 01 Dec 1976 - 
TL;DR: In this article, it was shown that ignoring the process that causes missing data when making sampling distribution inferences about the parameter of the data, θ, is generally appropriate if and only if the missing data are missing at random and the observed data are observed at random, and then such inferences are generally conditional on the observed pattern of missing data.
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.

ANew Look at the Statistical Model Identification

TL;DR: In this paper, the authors reviewed the history of statistical hypothesis testing in time series analysis and pointed out that the hypothesis testing procedure is not adequately defined as the procedure for statistical model identification.
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