Drug and Alcohol Dependence
Volume 88, Supplement 2 , Pages S31-S40, May 2007

Using engineering control principles to inform the design of adaptive interventions: A conceptual introduction

  • Daniel E. Rivera

      Affiliations

    • Control Systems Engineering Laboratory, Department of Chemical Engineering, Arizona State University Tempe, AZ 85287-6006, United States
    • Corresponding Author InformationCorresponding author. Tel.: +1 480 965 9476; fax: +1 480 965 0037.
  • ,
  • Michael D. Pew

      Affiliations

    • Control Systems Engineering Laboratory, Department of Chemical Engineering, Arizona State University Tempe, AZ 85287-6006, United States
  • ,
  • Linda M. Collins

      Affiliations

    • The Methodology Center and Department of Human Development and Family Studies, Penn State University, State College, PA 16801, United States

Received 5 April 2006; received in revised form 12 October 2006; accepted 25 October 2006.

Abstract 

The goal of this paper is to describe the role that control engineering principles can play in developing and improving the efficacy of adaptive, time-varying interventions. It is demonstrated that adaptive interventions constitute a form of feedback control system in the context of behavioral health. Consequently, drawing from ideas in control engineering has the potential to significantly inform the analysis, design, and implementation of adaptive interventions, leading to improved adherence, better management of limited resources, a reduction of negative effects, and overall more effective interventions. This article illustrates how to express an adaptive intervention in control engineering terms, and how to use this framework in a computer simulation to investigate the anticipated impact of intervention design choices on efficacy. The potential benefits of operationalizing decision rules based on control engineering principles are particularly significant for adaptive interventions that involve multiple components or address co-morbidities, situations that pose significant challenges to conventional clinical practice.

Keywords: Adaptive interventions, Engineering process control, Substance abuse prevention

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PII: S0376-8716(06)00424-8

doi:10.1016/j.drugalcdep.2006.10.020

Drug and Alcohol Dependence
Volume 88, Supplement 2 , Pages S31-S40, May 2007