Design of Informative Identification Experiments for Behavioral Interventions

Martín, César A.; Rivera, Daniel E.; Hekler, Eric B.

doi:10.1016/j.ifacol.2015.12.315

Cited by 11 publications

(2 citation statements)

References 14 publications

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“…Instead, different methods, such as study length and validation analysis, can be used to establish the equivalent notion of power [ 56 ]. A multisine signal’s cycle , or predetermined time interval, serves as the foundation for the power calculation [ 57 ]. By dividing the cycles into estimation and validation data sets, this type of design maximizes the signal-to-noise ratio and aids in the evaluation of model fits.…”

Section: Methodsmentioning

confidence: 99%

Advancing Understanding of Just-in-Time States for Supporting Physical Activity (Project JustWalk JITAI): Protocol for a System ID Study of Just-in-Time Adaptive Interventions

Park,

Kim,

El Mistiri

et al. 2023

JMIR Res Protoc

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Background Just-in-time adaptive interventions (JITAIs) are designed to provide support when individuals are receptive and can respond beneficially to the prompt. The notion of a just-in-time (JIT) state is critical for JITAIs. To date, JIT states have been formulated either in a largely data-driven way or based on theory alone. There is a need for an approach that enables rigorous theory testing and optimization of the JIT state concept. Objective The purpose of this system ID experiment was to investigate JIT states empirically and enable the empirical optimization of a JITAI intended to increase physical activity (steps/d). Methods We recruited physically inactive English-speaking adults aged ≥25 years who owned smartphones. Participants wore a Fitbit Versa 3 and used the study app for 270 days. The JustWalk JITAI project uses system ID methods to study JIT states. Specifically, provision of support systematically varied across different theoretically plausible operationalizations of JIT states to enable a more rigorous and systematic study of the concept. We experimentally varied 2 intervention components: notifications delivered up to 4 times per day designed to increase a person’s steps within the next 3 hours and suggested daily step goals. Notifications to walk were experimentally provided across varied operationalizations of JIT states accounting for need (ie, whether daily step goals were previously met or not), opportunity (ie, whether the next 3 h were a time window during which a person had previously walked), and receptivity (ie, a person previously walked after receiving notifications). Suggested daily step goals varied systematically within a range related to a person’s baseline level of steps per day (eg, 4000) until they met clinically meaningful targets (eg, averaging 8000 steps/d as the lower threshold across a cycle). A series of system ID estimation approaches will be used to analyze the data and obtain control-oriented dynamical models to study JIT states. The estimated models from all approaches will be contrasted, with the ultimate goal of guiding rigorous, replicable, empirical formulation and study of JIT states to inform a future JITAI. Results As is common in system ID, we conducted a series of simulation studies to formulate the experiment. The results of our simulation studies illustrated the plausibility of this approach for generating informative and unique data for studying JIT states. The study began enrolling participants in June 2022, with a final enrollment of 48 participants. Data collection concluded in April 2023. Upon completion of the analyses, the results of this study are expected to be submitted for publication in the fourth quarter of 2023. Conclusions This study will be the first empirical investigation of JIT states that uses system ID methods to inform the optimization of a scalable JITAI for physical activity. Trial Registration ClinicalTrials.gov NCT05273437; https://clinicaltrials.gov/ct2/show/NCT05273437 International Registered Report Identifier (IRRID) DERR1-10.2196/52161

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Section: Methodsmentioning

confidence: 99%

Advancing Understanding of Just-in-Time States for Supporting Physical Activity (Project JustWalk JITAI): Protocol for a System ID Study of Just-in-Time Adaptive Interventions

Park,

Kim,

El Mistiri

et al. 2023

JMIR Res Protoc

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“…Diseño de señal de entrada de Just Walk El procedimiento de diseño de la señal de entrada utilizado en el estudio Just Walk (Hekler, 2015) se estableció utilizando señales determinísticas pero "pseudoaleatorias"que son ortogonales en el dominio de la frecuencia. El procedimiento se describe en detalle en Martín et al (2015b). En Just Walk, las señales Metas diarias establecen el comportamiento deseado en forma cuantitativa, mientras que Puntos esperados son los puntos disponibles diarios que se anuncian cada mañana y que se otorgan al alcanzar el objetivo.…”

Section: Descripción De La Intervención Just Walkunclassified

Un esquema de decisiones para intervenciones adaptativas comportamentales de actividad física basado en control predictivo por modelo híbrido: ilustración con Just Walk

Cevallos

Martín

Mistiri

et al. 2022

Rev. iberoam. autom. inform. ind.

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La inactividad física es uno de los principales factores que contribuyen a la morbilidad y la mortalidad en todo el mundo. Muchas intervenciones comportamentales de actividad física en la actualidad han mostrado un éxito limitado al abordar el problema desde una perspectiva a largo plazo que incluye el mantenimiento. Este artículo propone el diseño de un algoritmo de decisión para una intervención adaptativa de salud móvil e inalámbrica (mHealth) que se basa en conceptos de ingeniería de control. El proceso de diseño se basa en un modelo dinámico que representa el comportamiento basada en la Teoría Cognitiva Social (TCS), con una formulación de controlador fundamentada en el control predictivo por modelo híbrido (HMPC por sus siglas en inglés) la cual se utiliza para implementar el esquema de decisión. Las características discretas y lógicas del HMPC coinciden naturalmente con la naturaleza categórica de los componentes de la intervención y las decisiones lógicas que son propias de una intervención para actividad física. La intervención incorpora un modo de reconfiguración del controlador en línea que aplica cambios en los pesos de penalización para lograr la transición entre las etapas de entrenamiento de iniciación comportamental y mantenimiento. Resultados de simulación se presentan para ilustrar el desempeño del controlador utilizando un modelo ARX estimado de datos de un participante representativo de Just Walk, una intervención de actividad física diseñada usando principios de sistemas de control.

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Intensively Adaptive Interventions Using Control Systems Engineering: Two Illustrative Examples

Rivera

Hekler

Savage

et al. 2018

Statistics for Social and Behavioral Sciences

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Design of Informative Identification Experiments for Behavioral Interventions

Cited by 11 publications

References 14 publications

Advancing Understanding of Just-in-Time States for Supporting Physical Activity (Project JustWalk JITAI): Protocol for a System ID Study of Just-in-Time Adaptive Interventions

Advancing Understanding of Just-in-Time States for Supporting Physical Activity (Project JustWalk JITAI): Protocol for a System ID Study of Just-in-Time Adaptive Interventions

Un esquema de decisiones para intervenciones adaptativas comportamentales de actividad física basado en control predictivo por modelo híbrido: ilustración con Just Walk

Intensively Adaptive Interventions Using Control Systems Engineering: Two Illustrative Examples

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