Using Clinical Trials to Benchmark Effects Produced in Clinical Practice

Using Clinical Trials to Benchmark Effects Produced in Clinical Practice This paper proposes an intuitive yet statistical advancement of the benchmarking method (e.g., Weersing and Weisz, 2002, Journal of Consulting and Clinical Psychology 70: 299–310) that could facilitate the assessment of pre-post treatment effectiveness of psychotherapy and other interventions delivered in clinical settings against efficacy observed in clinical trials. Primary development was in the use of the “good-enough principle” (Serlin and Lapsley, 1985 American Psychologist 40: 73–13, 1993, In: G. Keren & C. Lewis (eds.), A handbook for Data Analysis in Behavioral Sciences: Methodological Issues. Hillsdale, NJ: Lawrence Erlbaum Associated, pp. 199–228), which allowed for setting a clinically relevant margin between the benchmarks and the effect sizes observed in clinical settings so as to avoid attaining statistical significance with clinically trivial differences. Examples are given using clinical trials benchmarks of adult depression treatment, followed by instructions and limitations for its use. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Using Clinical Trials to Benchmark Effects Produced in Clinical Practice

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Publisher
Springer Netherlands
Copyright
Copyright © 2006 by Springer Science + Business Media B.V.
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-006-9057-z
Publisher site
See Article on Publisher Site

Abstract

This paper proposes an intuitive yet statistical advancement of the benchmarking method (e.g., Weersing and Weisz, 2002, Journal of Consulting and Clinical Psychology 70: 299–310) that could facilitate the assessment of pre-post treatment effectiveness of psychotherapy and other interventions delivered in clinical settings against efficacy observed in clinical trials. Primary development was in the use of the “good-enough principle” (Serlin and Lapsley, 1985 American Psychologist 40: 73–13, 1993, In: G. Keren & C. Lewis (eds.), A handbook for Data Analysis in Behavioral Sciences: Methodological Issues. Hillsdale, NJ: Lawrence Erlbaum Associated, pp. 199–228), which allowed for setting a clinically relevant margin between the benchmarks and the effect sizes observed in clinical settings so as to avoid attaining statistical significance with clinically trivial differences. Examples are given using clinical trials benchmarks of adult depression treatment, followed by instructions and limitations for its use.

Journal

Quality & Quantity – Springer Journals

Published: Dec 20, 2006

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