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Evaluation of a digital tool for detecting stress and craving in SUD recovery: An observational trial of accuracy and engagement.
Carreiro, Stephanie; Ramanand, Pravitha; Taylor, Melissa; Leach, Rebecca; Stapp, Joshua; Sherestha, Sloke; Smelson, David; Indic, Premananda.
Afiliación
  • Carreiro S; Department of Emergency Medicine, Division of Medical Toxicology, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA 01655, USA. Electronic address: stephanie.carreiro@umassmed.edu.
  • Ramanand P; Department of Electrical and Computer Engineering, University of Texas at Tyler, 3900 University Blvd, Tyler, TX 75799, USA.
  • Taylor M; Department of Emergency Medicine, Division of Medical Toxicology, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA 01655, USA.
  • Leach R; Department of Emergency Medicine, Division of Medical Toxicology, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA 01655, USA.
  • Stapp J; Department of Electrical and Computer Engineering, University of Texas at Tyler, 3900 University Blvd, Tyler, TX 75799, USA; RAE Health, 13 Devoe Raod, Bristol, ME 04539, USA.
  • Sherestha S; Department of Electrical and Computer Engineering, University of Texas at Tyler, 3900 University Blvd, Tyler, TX 75799, USA.
  • Smelson D; Department of Medicine, University of Massachusetts Chan Medical School, 55 Lake Avenue North, Worcester, MA 01655, USA.
  • Indic P; Department of Electrical and Computer Engineering, University of Texas at Tyler, 3900 University Blvd, Tyler, TX 75799, USA.
Drug Alcohol Depend ; 261: 111353, 2024 Aug 01.
Article en En | MEDLINE | ID: mdl-38917718
ABSTRACT

BACKGROUND:

Digital health interventions offer opportunities to expand access to substance use disorder (SUD) treatment, collect objective real-time data, and deliver just-in-time

interventions:

however implementation has been limited. RAE (Realize, Analyze, Engage) Health is a digital tool which uses continuous physiologic data to detect high risk behavioral states (stress and craving) during SUD recovery.

METHODS:

This was an observational study to evaluate the digital stress and craving detection during outpatient SUD treatment. Participants were asked to use the RAE Health app, wear a commercial-grade wrist sensor over a 30-day period. They were asked to self-report stress and craving, at which time were offered brief in-app de-escalation tools. Supervised machine learning algorithms were applied retrospectively to wearable sensor data obtained to develop group-based digital biomarkers for stress and craving. Engagement was assessed by number of days of utilization, and number of hours in a given day of connection.

RESULTS:

Sixty percent of participants (N=30) completed the 30-day protocol. The model detected stress and craving correctly 76 % and 69 % of the time, respectively, but with false positive rates of 33 % and 28 % respectively. All models performed close to previously validated models from a research grade sensor. Participants used the app for a mean of 14.2 days (SD 10.1) and 11.7 h per day (SD 8.2). Anxiety disorders were associated with higher mean hours per day connected, and return to drug use events were associated with lower mean hours per day connected.

CONCLUSIONS:

Future work should explore the effect of similar digital health systems on treatment outcomes and the optimal dose of digital interventions needed to make a clinically significant impact.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estrés Psicológico / Trastornos Relacionados con Sustancias / Ansia Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Drug Alcohol Depend Año: 2024 Tipo del documento: Article Pais de publicación: Irlanda
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estrés Psicológico / Trastornos Relacionados con Sustancias / Ansia Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Drug Alcohol Depend Año: 2024 Tipo del documento: Article Pais de publicación: Irlanda