Feasibility of a Personalized SMS Intervention for Insomnia

Last updated: April 18, 2022
Sponsor: University of Missouri, St. Louis
Overall Status: Active - Recruiting

Phase

1

Condition

Restless Leg Syndrome

Insomnia

Treatment

N/A

Clinical Study ID

NCT05108194
UMissouriSL
  • Ages > 18
  • All Genders

Study Summary

The goal of this research is to establish a proof of concept for optimizing and evaluating a personalized SMS intervention based for individuals with chronic sleep problems.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  • clinical insomnia (defined by scoring ≥ 15 on the insomnia severity index)

Exclusion

Exclusion Criteria:

  • under 18 y.o.
  • unable to read or write in English
  • do not own a Smart Phone

Study Design

Total Participants: 50
Study Start date:
November 15, 2021
Estimated Completion Date:
June 01, 2022

Study Description

Insomnia is a pervasive disorder affecting approximately 10-40% of the U.S. population in a given year. In addition, insomnia has been identified as a transdiagnostic symptom that cuts across numerous other psychological disorders. Interventions that target disordered sleep may attenuate symptomatic distress for a multitude of psychological disorders, making it a potentially potent intervention target with broad public health potential. Despite the ubiquity of the problem, only a fraction of individuals who could benefit actually receive the most effective intervention for insomnia, cognitive behavioral therapy for insomnia (CBT-I). Emerging research has pointed to the possibility of monitoring behavior and delivering personalized interventions to specific individuals via mobile devices. Personalized and adaptive interventions delivered via Short Message Service (SMS) provide a relatively simple solution to prompt individuals to engage in personalized interventions outside the context of opening or downloading a mobile mental health app. The content of text messages have the capacity to modulate behavior via prompts, motivational messages, and "nudges." By using brief, motivational messages based on evidence-based treatment for sleep (e.g. CBT-I), there is the potential to reduce dysfunctional sleep patterns at scale.

Connect with a study center

  • University of Missouri-St Louis

    Saint Louis, Missouri 63121
    United States

    Active - Recruiting

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