Trial Outcomes & Findings for Development and Testing of a Just-in-Time Adaptive Smart Phone Intervention to Reduce Drinking Among Homeless Adults (NCT NCT03746808)
NCT ID: NCT03746808
Last Updated: 2022-11-18
Results Overview
Satisfaction with app on self-reported questions at follow-up (1-5 scale where 1 = Not at all; and 5 = Extremely)
COMPLETED
NA
119 participants
4 weeks
2022-11-18
Participant Flow
Participant milestones
| Measure |
EMA Only
Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are receiving shelter-based treatment.
EMA + App/Treatment Messages: This study will develop and test a "just-in-time" adaptive intervention to reduce alcohol use among homeless adults. Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are enrolled in shelter-based treatment. Phase II will use this information to create a risk algorithm and tailored treatment messages that anticipate and intervene to prevent alcohol use.
|
EMA + App/Treatment Messages
Phase III will pilot test the newly developed app for utility, satisfaction, and preliminary effectiveness in a group of 40 homeless adults with an AUD who are receiving shelter-based treatment. The investigators will compare Phase III participants (i.e., received Metrocare, EMAs, and tailored treatment messages) to Phase I participants (i.e., received Metrocare and EMAs only) to examine the preliminary effectiveness of the app.
EMA + App/Treatment Messages: This study will develop and test a "just-in-time" adaptive intervention to reduce alcohol use among homeless adults. Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are enrolled in shelter-based treatment. Phase II will use this information to create a risk algorithm and tailored treatment messages that anticipate and intervene to prevent alcohol use.
|
|---|---|---|
|
Overall Study
STARTED
|
78
|
41
|
|
Overall Study
COMPLETED
|
71
|
34
|
|
Overall Study
NOT COMPLETED
|
7
|
7
|
Reasons for withdrawal
Withdrawal data not reported
Baseline Characteristics
Development and Testing of a Just-in-Time Adaptive Smart Phone Intervention to Reduce Drinking Among Homeless Adults
Baseline characteristics by cohort
| Measure |
EMA Only
n=78 Participants
Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are receiving shelter-based treatment.
EMA + App/Treatment Messages: This study will develop and test a "just-in-time" adaptive intervention to reduce alcohol use among homeless adults. Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are enrolled in shelter-based treatment. Phase II will use this information to create a risk algorithm and tailored treatment messages that anticipate and intervene to prevent alcohol use.
|
EMA + App/Treatment Messages
n=41 Participants
Phase III will pilot test the newly developed app for utility, satisfaction, and preliminary effectiveness in a group of 40 homeless adults with an AUD who are receiving shelter-based treatment. The investigators will compare Phase III participants (i.e., received Metrocare, EMAs, and tailored treatment messages) to Phase I participants (i.e., received Metrocare and EMAs only) to examine the preliminary effectiveness of the app.
EMA + App/Treatment Messages: This study will develop and test a "just-in-time" adaptive intervention to reduce alcohol use among homeless adults. Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are enrolled in shelter-based treatment. Phase II will use this information to create a risk algorithm and tailored treatment messages that anticipate and intervene to prevent alcohol use.
|
Total
n=119 Participants
Total of all reporting groups
|
|---|---|---|---|
|
Age, Categorical
<=18 years
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
|
Age, Categorical
Between 18 and 65 years
|
78 Participants
n=5 Participants
|
41 Participants
n=7 Participants
|
119 Participants
n=5 Participants
|
|
Age, Categorical
>=65 years
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
|
Age, Continuous
|
46.6 years
STANDARD_DEVIATION 9.2 • n=5 Participants
|
45.2 years
STANDARD_DEVIATION 11.5 • n=7 Participants
|
46.1 years
STANDARD_DEVIATION 10.0 • n=5 Participants
|
|
Sex: Female, Male
Female
|
12 Participants
n=5 Participants
|
8 Participants
n=7 Participants
|
20 Participants
n=5 Participants
|
|
Sex: Female, Male
Male
|
66 Participants
n=5 Participants
|
33 Participants
n=7 Participants
|
99 Participants
n=5 Participants
|
|
Race (NIH/OMB)
American Indian or Alaska Native
|
1 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
1 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Asian
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
|
0 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
0 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Black or African American
|
22 Participants
n=5 Participants
|
10 Participants
n=7 Participants
|
32 Participants
n=5 Participants
|
|
Race (NIH/OMB)
White
|
51 Participants
n=5 Participants
|
29 Participants
n=7 Participants
|
80 Participants
n=5 Participants
|
|
Race (NIH/OMB)
More than one race
|
2 Participants
n=5 Participants
|
2 Participants
n=7 Participants
|
4 Participants
n=5 Participants
|
|
Race (NIH/OMB)
Unknown or Not Reported
|
2 Participants
n=5 Participants
|
0 Participants
n=7 Participants
|
2 Participants
n=5 Participants
|
|
Region of Enrollment
United States
|
78 Participants
n=5 Participants
|
41 Participants
n=7 Participants
|
119 Participants
n=5 Participants
|
PRIMARY outcome
Timeframe: 4 weeksPopulation: People who attended 4-week follow-up visit
Satisfaction with app on self-reported questions at follow-up (1-5 scale where 1 = Not at all; and 5 = Extremely)
Outcome measures
| Measure |
EMA Only
Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are receiving shelter-based treatment.
EMA + App/Treatment Messages: This study will develop and test a "just-in-time" adaptive intervention to reduce alcohol use among homeless adults. Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are enrolled in shelter-based treatment. Phase II will use this information to create a risk algorithm and tailored treatment messages that anticipate and intervene to prevent alcohol use.
|
EMA + App/Treatment Messages
n=33 Participants
Phase III will pilot test the newly developed app for utility, satisfaction, and preliminary effectiveness in a group of 40 homeless adults with an AUD who are receiving shelter-based treatment. The investigators will compare Phase III participants (i.e., received Metrocare, EMAs, and tailored treatment messages) to Phase I participants (i.e., received Metrocare and EMAs only) to examine the preliminary effectiveness of the app.
EMA + App/Treatment Messages: This study will develop and test a "just-in-time" adaptive intervention to reduce alcohol use among homeless adults. Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are enrolled in shelter-based treatment. Phase II will use this information to create a risk algorithm and tailored treatment messages that anticipate and intervene to prevent alcohol use.
|
|---|---|---|
|
Satisfaction With App Treatment Messages
How useful was the "Sober Tips" feature?
|
—
|
3.9 score on a scale
Standard Deviation 1.0
|
|
Satisfaction With App Treatment Messages
How helpful has the smart phone application been in helping you to reduce alcohol consumption?
|
—
|
3.6 score on a scale
Standard Deviation 1.1
|
|
Satisfaction With App Treatment Messages
Would you be interested in using this smart phone app in the future if needed?
|
—
|
3.8 score on a scale
Standard Deviation 1.5
|
|
Satisfaction With App Treatment Messages
How likely would you be to recommend this smart phone app to a friend?
|
—
|
4.0 score on a scale
Standard Deviation 1.4
|
SECONDARY outcome
Timeframe: 4 weeksPopulation: Participants available for analysis
Number of drinking days (number of days with any self-reported drinking out of 28 days)
Outcome measures
| Measure |
EMA Only
n=43 Participants
Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are receiving shelter-based treatment.
EMA + App/Treatment Messages: This study will develop and test a "just-in-time" adaptive intervention to reduce alcohol use among homeless adults. Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are enrolled in shelter-based treatment. Phase II will use this information to create a risk algorithm and tailored treatment messages that anticipate and intervene to prevent alcohol use.
|
EMA + App/Treatment Messages
n=34 Participants
Phase III will pilot test the newly developed app for utility, satisfaction, and preliminary effectiveness in a group of 40 homeless adults with an AUD who are receiving shelter-based treatment. The investigators will compare Phase III participants (i.e., received Metrocare, EMAs, and tailored treatment messages) to Phase I participants (i.e., received Metrocare and EMAs only) to examine the preliminary effectiveness of the app.
EMA + App/Treatment Messages: This study will develop and test a "just-in-time" adaptive intervention to reduce alcohol use among homeless adults. Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are enrolled in shelter-based treatment. Phase II will use this information to create a risk algorithm and tailored treatment messages that anticipate and intervene to prevent alcohol use.
|
|---|---|---|
|
Number of Drinking Days
|
13.9 Number of drinking days
Standard Deviation 2.65
|
11.2 Number of drinking days
Standard Deviation 2.60
|
SECONDARY outcome
Timeframe: 4 weeksPopulation: Participants available for analysis
Number of drinking days (number of days with self-reported \>4 drinks for men; \>3 drinks for women out of 28 days)
Outcome measures
| Measure |
EMA Only
n=43 Participants
Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are receiving shelter-based treatment.
EMA + App/Treatment Messages: This study will develop and test a "just-in-time" adaptive intervention to reduce alcohol use among homeless adults. Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are enrolled in shelter-based treatment. Phase II will use this information to create a risk algorithm and tailored treatment messages that anticipate and intervene to prevent alcohol use.
|
EMA + App/Treatment Messages
n=34 Participants
Phase III will pilot test the newly developed app for utility, satisfaction, and preliminary effectiveness in a group of 40 homeless adults with an AUD who are receiving shelter-based treatment. The investigators will compare Phase III participants (i.e., received Metrocare, EMAs, and tailored treatment messages) to Phase I participants (i.e., received Metrocare and EMAs only) to examine the preliminary effectiveness of the app.
EMA + App/Treatment Messages: This study will develop and test a "just-in-time" adaptive intervention to reduce alcohol use among homeless adults. Phase I will use smartphones and passive sensing to monitor geolocation, psychosocial variables (e.g., stress, urge to drink), and alcohol use in a group of 80 homeless adults with an AUD who are enrolled in shelter-based treatment. Phase II will use this information to create a risk algorithm and tailored treatment messages that anticipate and intervene to prevent alcohol use.
|
|---|---|---|
|
Number of Heavy Drinking Days
|
3.42 Number of heavy drinking days
Standard Deviation 1.78
|
3.64 Number of heavy drinking days
Standard Deviation 1.73
|
Adverse Events
EMA Only
EMA + App/Treatment Messages
Serious adverse events
Adverse event data not reported
Other adverse events
Adverse event data not reported
Additional Information
Scott Walters
University of North Texas Health Sciece Center
Results disclosure agreements
- Principal investigator is a sponsor employee
- Publication restrictions are in place