ArticleTranslational behavioral medicine2014
A control systems engineering approach for adaptive behavioral interventions: illustration with a fibromyalgia intervention.
Article in Translational behavioral medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Just-in-time adaptive ecological momentary assessment (JITA-EMA).Behavior research methods · 2024Article
- Optimizing Behavioral Interventions to Regulate Gestational Weight Gain With Sequential Decision Policies Using Hybrid Model Predictive Control.Computers & chemical engineering · 2022Article
- Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2020Article
- Cognitive computing and eScience in health and life science research: artificial intelligence and obesity intervention programs.Health information science and systems · 2017Review
- Evaluating the effect of smoking cessation treatment on a complex dynamical system.Drug and alcohol dependence · 2017Article
- Advancing Models and Theories for Digital Behavior Change Interventions.American journal of preventive medicine · 2016Article
- Evaluating Digital Health Interventions: Key Questions and Approaches.American journal of preventive medicine · 2016Article
- Agile science: creating useful products for behavior change in the real world.Translational behavioral medicine · 2016Article
- Perspective: Randomized Controlled Trials Are Not a Panacea for Diet-Related Research.Advances in nutrition (Bethesda, Md.) · 2016Article
- Optimized Treatment of Fibromyalgia Using System Identification and Hybrid Model Predictive Control.Control engineering practice · 2014Article
- Methodologies for optimizing behavioral interventions: introduction to special section.Translational behavioral medicine · 2014Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
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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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.