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)

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

119 participants

Primary outcome timeframe

4 weeks

Results posted on

2022-11-18

Participant Flow

Participant milestones

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

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 weeks

Population: 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

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 weeks

Population: Participants available for analysis

Number of drinking days (number of days with any self-reported drinking out of 28 days)

Outcome measures

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 weeks

Population: 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

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

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

EMA + App/Treatment Messages

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

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

Phone: 817-735-2365

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place