Literature DB >> 21623550

Therapist effectiveness: implications for accountability and patient care.

David R Kraus1, Louis Castonguay, James F Boswell, Samuel S Nordberg, Jeffrey A Hayes.   

Abstract

Significant therapist variability has been demonstrated in both psychotherapy outcomes and process (e.g., the working alliance). In an attempt to provide prevalence estimates of "effective" and "harmful" therapists, the outcomes of 6960 patients seen by 696 therapists in the context of naturalistic treatment were analyzed across multiple symptom and functioning domains. Therapists were defined based on whether their average client reliably improved, worsened, or neither improved nor worsened. Results varied by domain with the widespread pervasiveness of unclassifiable/ineffective and harmful therapists ranging from 33 to 65%. Harmful therapists demonstrated large, negative treatment effect sizes (d= -0.91 to -1.49) while effective therapists demonstrated large, positive treatment effect sizes (d=1.00 to 1.52). Therapist domain-specific effectiveness correlated poorly across domains, suggesting that therapist competencies may be domain or disorder specific, rather than reflecting a core attribute or underlying therapeutic skill construct. Public policy and clinical implications of these findings are discussed, including the importance of integrating benchmarked outcome measurement into both routine care and training.

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Mesh:

Year:  2011        PMID: 21623550     DOI: 10.1080/10503307.2011.563249

Source DB:  PubMed          Journal:  Psychother Res        ISSN: 1050-3307


  14 in total

1.  Assessing the accuracy of automatic speech recognition for psychotherapy.

Authors:  Adam S Miner; Albert Haque; Jason A Fries; Scott L Fleming; Denise E Wilfley; G Terence Wilson; Arnold Milstein; Dan Jurafsky; Bruce A Arnow; W Stewart Agras; Li Fei-Fei; Nigam H Shah
Journal:  NPJ Digit Med       Date:  2020-06-03

2.  Can psychotherapists function as their own controls? Meta-analysis of the crossed therapist design in comparative psychotherapy trials.

Authors:  Fredrik Falkenström; John C Markowitz; Hanske Jonker; Björn Philips; Rolf Holmqvist
Journal:  J Clin Psychiatry       Date:  2012-10-30       Impact factor: 4.384

Review 3.  Frequency of reporting of adverse events in randomized controlled trials of psychotherapy vs. psychopharmacotherapy.

Authors:  Barney Vaughan; Michael H Goldstein; Maria Alikakos; Lisa J Cohen; Michael J Serby
Journal:  Compr Psychiatry       Date:  2014-01-23       Impact factor: 3.735

Review 4.  Enhancing the Evidence for Behavioral Counseling: A Perspective From the Society of Behavioral Medicine.

Authors:  Carmela Alcántara; Lisa M Klesges; Ken Resnicow; Amy Stone; Karina W Davidson
Journal:  Am J Prev Med       Date:  2015-09       Impact factor: 5.043

Review 5.  Canadian Network for Mood and Anxiety Treatments (CANMAT) 2016 Clinical Guidelines for the Management of Adults with Major Depressive Disorder: Section 2. Psychological Treatments.

Authors:  Sagar V Parikh; Lena C Quilty; Paula Ravitz; Michael Rosenbluth; Barbara Pavlova; Sophie Grigoriadis; Vytas Velyvis; Sidney H Kennedy; Raymond W Lam; Glenda M MacQueen; Roumen V Milev; Arun V Ravindran; Rudolf Uher
Journal:  Can J Psychiatry       Date:  2016-08-02       Impact factor: 4.356

6.  Is low therapist empathy toxic?

Authors:  Theresa B Moyers; William R Miller
Journal:  Psychol Addict Behav       Date:  2012-10-01

7.  Removing very low-performing therapists: A simulation of performance-based retention in psychotherapy.

Authors:  Zac E Imel; Elisa Sheng; Scott A Baldwin; David C Atkins
Journal:  Psychotherapy (Chic)       Date:  2015-09

8.  Therapist empathy, combined behavioral intervention, and alcohol outcomes in the COMBINE research project.

Authors:  Theresa B Moyers; Jon Houck; Samara L Rice; Richard Longabaugh; William R Miller
Journal:  J Consult Clin Psychol       Date:  2016-01-21

9.  Psychotherapy in Psychiatry.

Authors:  Gary Chaimowitz; Priyanthy Weerasekera; Paula Ravitz
Journal:  Can J Psychiatry       Date:  2021-11       Impact factor: 4.356

10.  Patterns of Change in Collaboration Are Associated with Baseline Characteristics and Predict Outcome and Dropout Rates in Treatment of Multi-Problem Families. A Validation Study.

Authors:  Egon Bachler; Alexander Fruehmann; Herbert Bachler; Benjamin Aas; Marius Nickel; Guenter K Schiepek
Journal:  Front Psychol       Date:  2017-07-21
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