Don't Go There: A Geospatial mHealth App for Gambling Disorder

Not Applicable

Recruiting

• Conditions: Gambling Disorder

• Registration Number: NCT04158037
• Lead Sponsor: St. Louis University

Brief Summary

The goal of this project is to develop and to test the efficacy of a novel mHealth app for gambling disorder. The app capitalizes on smartphones' global positioning software (GPS) that recognizes a user's location to within 15 feet. Users will receive an alert of this go near a gambling venue. The project will conduct a 12-week pilot randomized clinical trial to test the short-term efficacy of the app with gambling disorder individuals.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2019-11-05
• Study First Submitted QC: 2019-11-07
• Study First Posted: 2019-11-08
• Study Start: 2024-07-31
• Status Verified: 2024-08
• Last Update Submitted: 2024-08-09
• Last Update Posted: 2024-08-12
• Primary Completion: 2025-12
• Study Completion: 2025-12

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 40

Inclusion Criteria

• Currently meets DSM-5 criteria for gambling disorder
• At least 4 non-online gambling episodes in past 60 days
• Wagering at least $100 total over past 60 days
• Willingness to accept random assignment
• English speaking
• Android phone user

Exclusion Criteria

• Age <18 years old
• Severely disruptive behavior
• Serious uncontrolled psychiatric behavior that requires acute psychiatric care
• Decline permission to collect zero permission data from smartphone.

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Primary Outcome Measures

Name	Time	Method
Patient satisfaction with the gambling app	From baseline to post-treatment (12 weeks)	Investigator derived patient satisfaction self-report questionnaire. Five items, using a 7-point Likert scale from very dissatisfied (1) to very satisfied (7). Higher scores indicate a better outcome.
App usage (feasibility)	From baseline to post-treatment (12 weeks)	Number of days the app is active on a user's smartphone. Days can range from 0 to 84.

Secondary Outcome Measures

Name	Time	Method
Gambling behavior via Timeline Followback (Weinstock, Whelan, & Meyers, 2004)	From baseline to post-treatment (12 weeks)	Self-report gambling frequency and intensity as assessed by the Gambling Timeline Followback - a retrospective self-report calendar. Gambling frequency can range from 0 to 84; gambling intensity is measured in $ and time (hours). Dollars wagered can range from $0 to unlimited $. Time is measured in hours and can range from 0 to \>1,000 hours. Higher scores indicate a worse outcome.
Gambling-related harms (Browne et al., 2018)	From baseline to post-treatment (12 weeks)	Self-reported gambling harms as assessed by the 72-item Gambling-Related Harms Questionnaire (yes/no responses). Scores range from 0 to 72. Higher scores indicate a worse outcome.
Quality of Life Inventory (Frisch et al., 1994). A self-reported quality of life measure assessing 17 domains of life for importance and satisfaction.	From baseline to post-treatment (12 weeks)	Self-report quality of life questionnaire. Participants rate 17 domains on importance (range not at all important \[0\] to extremely important \[2\]). The 17 domains are then rated on how satisfied the individual is regards to his or her life (-3 \[very dissatisfied\] to 3 \[very dissatisfied\]). A total score is then generated by summing the product of importance multiplied by satisfaction. Scores range from 0 to 102. Higher scores indicate a better outcome.

Trial Locations

Locations (1)

Saint Louis University; 🇺🇸 Saint Louis, Missouri, United States