Literature DB >> 17169503

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

Daniel E Rivera1, Michael D Pew, Linda M Collins.   

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.

Mesh:

Year:  2006        PMID: 17169503      PMCID: PMC2062527          DOI: 10.1016/j.drugalcdep.2006.10.020

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  14 in total

1.  Initial impact of the Fast Track prevention trial for conduct problems: II. Classroom effects. Conduct Problems Prevention Research Group.

Authors: 
Journal:  J Consult Clin Psychol       Date:  1999-10

2.  The effect of the timing and spacing of observations in longitudinal studies of tobacco and other drug use: temporal design considerations.

Authors:  Linda M Collins; John W Graham
Journal:  Drug Alcohol Depend       Date:  2002-11       Impact factor: 4.492

3.  A controlled study of a standardized behavioral stepped treatment for hypertension.

Authors:  M S Glasgow; B T Engel; B C D'Lugoff
Journal:  Psychosom Med       Date:  1989 Jan-Feb       Impact factor: 4.312

4.  An experimental design for the development of adaptive treatment strategies.

Authors:  S A Murphy
Journal:  Stat Med       Date:  2005-05-30       Impact factor: 2.373

5.  Initial impact of the Fast Track prevention trial for conduct problems: I. The high-risk sample. Conduct Problems Prevention Research Group.

Authors: 
Journal:  J Consult Clin Psychol       Date:  1999-10

6.  A Risk-based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health.

Authors:  Ascensión Zafra-Cabeza; Daniel E Rivera; Linda M Collins; Miguel A Ridao; Eduardo F Camacho
Journal:  IEEE Trans Control Syst Technol       Date:  2011-07-01       Impact factor: 5.485

7.  National Institute of Mental Health Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE): Alzheimer disease trial methodology.

Authors:  L S Schneider; P N Tariot; C G Lyketsos; K S Dagerman; K L Davis; S Davis; J K Hsiao; D V Jeste; I R Katz; J T Olin; B G Pollock; P V Rabins; R A Rosenheck; G W Small; B Lebowitz; J A Lieberman
Journal:  Am J Geriatr Psychiatry       Date:  2001       Impact factor: 4.105

8.  Methodological challenges in constructing effective treatment sequences for chronic psychiatric disorders.

Authors:  Susan A Murphy; David W Oslin; A John Rush; Ji Zhu
Journal:  Neuropsychopharmacology       Date:  2006-11-08       Impact factor: 7.853

9.  Sequenced treatment alternatives to relieve depression (STAR*D): rationale and design.

Authors:  A John Rush; Maurizio Fava; Stephen R Wisniewski; Philip W Lavori; Madhukar H Trivedi; Harold A Sackeim; Michael E Thase; Andrew A Nierenberg; Frederic M Quitkin; T Michael Kashner; David J Kupfer; Jerrold F Rosenbaum; Jonathan Alpert; Jonathan W Stewart; Patrick J McGrath; Melanie M Biggs; Kathy Shores-Wilson; Barry D Lebowitz; Louise Ritz; George Niederehe
Journal:  Control Clin Trials       Date:  2004-02

Review 10.  Using behavioral reinforcement to improve methadone treatment participation.

Authors:  Robert K Brooner; Michael Kidorf
Journal:  Sci Pract Perspect       Date:  2002-07
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  63 in total

Review 1.  Multilevel factorial experiments for developing behavioral interventions: power, sample size, and resource considerations.

Authors:  John J Dziak; Inbal Nahum-Shani; Linda M Collins
Journal:  Psychol Methods       Date:  2012-02-06

2.  A dynamical systems approach to understanding self-regulation in smoking cessation behavior change.

Authors:  Kevin P Timms; Daniel E Rivera; Linda M Collins; Megan E Piper
Journal:  Nicotine Tob Res       Date:  2013-09-24       Impact factor: 4.244

3.  Using mathematical modeling and control to develop structured treatment interruption strategies for HIV infection.

Authors:  Eric S Rosenberg; Marie Davidian; H Thomas Banks
Journal:  Drug Alcohol Depend       Date:  2007-02-05       Impact factor: 4.492

4.  Momentary assessment of physical activity intention-behavior coupling in adults.

Authors:  Jaclyn P Maher; Ryan E Rhodes; Eldin Dzubur; Jimi Huh; Stephen Intille; Genevieve F Dunton
Journal:  Transl Behav Med       Date:  2017-12       Impact factor: 3.046

Review 5.  The Use of Behavior Change Techniques and Theory in Technologies for Cardiovascular Disease Prevention and Treatment in Adults: A Comprehensive Review.

Authors:  Sandra J Winter; Jylana L Sheats; Abby C King
Journal:  Prog Cardiovasc Dis       Date:  2016-02-20       Impact factor: 8.194

6.  Addressing core challenges for the next generation of type 2 translation research and systems: the translation science to population impact (TSci Impact) framework.

Authors:  Richard Spoth; Louise A Rohrbach; Mark Greenberg; Philip Leaf; C Hendricks Brown; Abigail Fagan; Richard F Catalano; Mary Ann Pentz; Zili Sloboda; J David Hawkins
Journal:  Prev Sci       Date:  2013-08

7.  Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions.

Authors:  César A Martín; Daniel E Rivera; Eric B Hekler; William T Riley; Matthew P Buman; Marc A Adams; Alicia B Magann
Journal:  IEEE Trans Control Syst Technol       Date:  2018-11-12       Impact factor: 5.485

8.  Development of a dynamic computational model of social cognitive theory.

Authors:  William T Riley; Cesar A Martin; Daniel E Rivera; Eric B Hekler; Marc A Adams; Matthew P Buman; Misha Pavel; Abby C King
Journal:  Transl Behav Med       Date:  2016-12       Impact factor: 3.046

9.  Hybrid Model Predictive Control for Sequential Decision Policies in Adaptive Behavioral Interventions.

Authors:  Yuwen Dong; Sunil Deshpande; Daniel E Rivera; Danielle S Downs; Jennifer S Savage
Journal:  Proc Am Control Conf       Date:  2014-06

10.  A dynamical model for describing behavioural interventions for weight loss and body composition change.

Authors:  J-Emeterio Navarro-Barrientos; Daniel E Rivera; Linda M Collins
Journal:  Math Comput Model Dyn Syst       Date:  2011-01-12       Impact factor: 0.945

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