Adaptive Treatment Strategies in Chronic Disease

Author:

Lavori Philip W.1,Dawson Ree2

Affiliation:

1. Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California 94305-5405;

2. Frontier Science Technology and Research Foundation, Boston, Massachusetts 02115;

Abstract

An adaptive treatment strategy (ATS) is a rule for adapting a treatment plan to a patient's history of previous treatments and the response to those treatments. The ongoing management of chronic disease defines an ATS, which may be implicit and hidden or explicit and well-specified. The ATS is characterized by the use of intermediate, early markers of response to dynamically alter treatment decisions, in order to achieve a favorable ultimate outcome. We illustrate the ATS concept and describe how the effect of initial treatment decisions depends on the performance of subsequent decisions at later stages. We show how to compare two or more ATSs, or to determine an optimal ATS, using a sequential multiple assignment randomized (SMAR) trial. Designers of clinical trials might find the ATS concept useful in improving the efficiency and ecological relevance of clinical trials.

Publisher

Annual Reviews

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

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