A control systems engineering approach for adaptive behavioral interventions: illustration with a fibromyalgia intervention
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The term adaptive intervention has been used in behavioral medicine to describe operationalized and individually tailored strategies for prevention and treatment of chronic, relapsing disorders. Control systems engineering offers an attractive means for designing and implementing adaptive behavioral interventions that feature intensive measurement and frequent decision-making over time. This is illustrated in this paper for the case of a low-dose naltrexone treatment intervention for fibromyalgia. System identification methods from engineering are used to estimate dynamical models from daily diary reports completed by participants. These dynamical models then form part of a model predictive control algorithm which systematically decides on treatment dosages based on measurements obtained under real-life conditions involving noise, disturbances, and uncertainty. The effectiveness and implications of this approach for behavioral interventions (in general) and pain treatment (in particular) are demonstrated using informative simulations.
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Model predictive control, recommender systems, agent-based modeling, or Bayesian network analysis are plausible personalization algorithm strategies.
“Model predictive control [40–43], recommender systems [44], agent-based modeling [45], or Bayesian network analysis [46] are all plausible personalization algorithm strategies.”
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- Authors
- Deshpande, S., Rivera, D. E., Younger, J. W., & Nandola, N. N.
- Affiliations
- Arizona State University (US)
- University of Alabama at Birmingham (US)
- Corresponding author
- Rivera, Daniel E.
- Venue
- Translational Behavioral Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-09
- Volume
- 4
- Issue
- 3
- Pages
- 275-289
- ISSN
- 1613-9860 (ISSN-L)
- 1869-6716
- PMC
- PMC4167895
- OpenAlex
- W2011946574
- Cited by
- 24
- References
- 60
- Citations by year
- 2026: 2 · 2024: 1 · 2023: 1 · 2022: 3 · 2021: 1 · 2019: 1 · 2018: 4 · 2017: 3 · 2016: 4 · 2015: 1 · 2014: 3
- FWCI
- 2.80
- Type
- journal article
- Language
- en
- Update notices
- correction (2014-10-24)
- Open access
- bronze
- doi.org
- Locations
- Translational Behavioral Medicine (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Arizona State University Library Digital Repository (Arizona State University) (submittedVersion, cc-by)
- Funders
- American Fibromyalgia Syndrome Association
- University of Pennsylvania
- Pennsylvania State University
- National Institutes of Health
- National Institute on Drug Abuse (R21DA024266, K25DA021173)
- Office of Behavioral and Social Sciences Research (R21 DA024266)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Fibromyalgia and Chronic Fatigue Syndrome Research
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- control engineering, fibromyalgia, low-dose naltrexone, model predictive control, system identification, dynamic modeling, pain management, chronic pain management
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