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Smartphone Based Continuing Care for Alcohol

Impact of Enhancements to Smartphone Based Continuing Care for Alcohol Dependence

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02681406
Enrollment
262
Registered
2016-02-12
Start date
2014-09-30
Completion date
2020-03-15
Last updated
2022-03-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Alcohol Abuse

Brief summary

Investigators will recruit 280 alcohol dependent patients in treatment programs in the Philadelphia area to test the efficacy and cost efficiency of a smartphone based application for treating alcohol addiction (ACHESS) with telephone monitoring and counseling (TMAC). Participation in the study lasts for 18 months with research visits at baseline, 3 months, 6 months, 9 months, 12 months, and 18 months. The intervention lasts 12 months.

Detailed description

Continuing care is believed to be important in the effective management of patients with alcohol use disorders. New smartphone technology provides a novel way to provide personalized continuing care support. Dr. Gustafson and colleagues at the University of Wisconsin have developed an addiction version of CHESS (ACHESS), an automated smart phone system that provides a range of functions designed to directly support patients. In a recently completed NIAAA-funded continuing care study, ACHESS produced better drinking outcomes with alcoholics than treatment as usual. The Principal Investigator of the current study, Dr. Jim McKay, and his colleagues at the Center of Continuum of Care in the Addictions have also developed a telephone-based approach to continuing care, Telephone Monitoring and Counseling (TMC), which has demonstrated efficacy in two randomized trials with alcohol-dependent patients. The TMC intervention is delivered through telephone contacts between patients and counselors, and makes use of information obtained in a brief assessment at the beginning of each call to determine the content of the session and to trigger adaptive changes in level of care over time. Although both ACHESS and TMC use telephone technology, they have complementary strengths. ACHESS provides a range of automated 24/7 recovery support services, but does not include contact with a counselor. TMC, on the other hand, provides regular and sustained contact with the same counselor, but does not provide support between calls. The future of continuing care for alcohol use disorders is likely to involve both automated mobile technology and counselor contact, but little is known about how best to integrate these services. To address this question, the study will feature a 2 x 2 design \[ACHESS for 12 months (yes/no) x TMC for 12 months (yes/no)\]. With this design, we will determine whether adding TMC to ACHESS produces superior outcomes to those obtained with TMC or ACHESS alone. This design will also enable replication of prior findings, and will provide the first direct comparison of TMC only vs. ACHESS only. In addition, economic analyses will be completed to determine the cost and cost-effectiveness of each intervention and their combination. The participants will be randomly assigned into one of the four conditions and followed for 18 months. The follow-ups will be at 3, 6, 9, 12, and 18 months post-baseline. The subjects will be 280 patients diagnosed with alcohol abuse who are in a substance abuse treatment center in the Philadelphia area. The risks of the research are conceived to be minimal (e.g., possible embarrassment) and consist of those incurred in providing self-report data on alcohol and drug-related history and social and psychiatric problems. There are minimal medical risks associated with research participation. There will be some risk of loss of confidentiality since the name, addresses and phone numbers of three contact people will be recorded by the staff for subject tracking purposes. However, all identifiable information will remain in a locked filling cabinet only accessible by the principle investigator and study staff. No identifying information will be programmed into the phone by the counselor. Although the participant is able to program numbers into the smartphone once they receive one, the counselor will review several measures for protecting the subjects' privacy, including password and pattern locks. All subjects will receive at a minimum treatment as usual in the programs from which they will be recruited.

Interventions

BEHAVIORALACHESS

Smartphone based additions focused application, encouraging social support

BEHAVIORALTMC

Brief telephone monitoring and counseling

Sponsors

University of Pennsylvania
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No

Inclusion criteria

* have a DSM-V diagnosis of current, moderate to severe alcohol use disorder * have completed 3 weeks of IOP * be 18-75 years of age * be able to provide the name and verified telephone number of at least two contacts to help reach participants for follow up appointments * functionally literate and have sufficient ability to read a smart phone * be willing to be randomized as part of the clinical trial

Exclusion criteria

* have a current psychotic disorder or dementia severe enough to prevent participation in treatment * have an acute medical problem requiring immediate inpatient treatment * are participating in other forms of treatment for substance abuse, besides IOP * are unable to read/comprehend for informed consent

Design outcomes

Primary

MeasureTime frameDescription
Time Line Follow Back, Percent Heavy Alcohol Use18 month: months 13 - 18 post baselineThe primary outcome measure will be percent days of heavy alcohol use (i.e., \> 5 drinks/day for men, \> 4 drinks/day for women) within each follow-up period. Studies have consistently supported the reliability and validity of the TLFB with alcohol dependent individuals. Frequency of heavy alcohol use was selected because alcohol-related problems are correlated with the frequency of heavy drinking days. This outcome is also sensitive to reductions in problematic or high risk use, which are particularly important in a disease management model.

Countries

United States

Participant flow

Participants by arm

ArmCount
Treatment as Usual
Participants randomized to this condition will continue their schedules and treatments as they had been and just come in to see research staff for research visits.
65
Telephone Monitoring and Counseling
TMC - participants receive brief (20 minute) telephone counseling once weekly, then biweekly, etc for 12 months. TMC: Brief telephone monitoring and counseling
59
ACHESS
Participants are signed up for an addiction based smart phone application that connects them in an anonymous fashion to a social network of other people in the study who are also struggling with alcohol addiction and sober living. ACHESS: Smartphone based additions focused application, encouraging social support
68
TMC + ACHESS
Participants in this arm receive both interventions - the telephone counseling plus the ACHESS phone application. ACHESS: Smartphone based additions focused application, encouraging social support TMC: Brief telephone monitoring and counseling
70
Total262

Baseline characteristics

CharacteristicTreatment as UsualTelephone Monitoring and CounselingACHESSTMC + ACHESSTotal
Age, Continuous46.70 years
STANDARD_DEVIATION 9.93
46.07 years
STANDARD_DEVIATION 10.15
48.00 years
STANDARD_DEVIATION 9.21
46.72 years
STANDARD_DEVIATION 11.03
46.87 years
STANDARD_DEVIATION 10.08
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants0 Participants0 Participants3 Participants3 Participants
Race (NIH/OMB)
Asian
1 Participants0 Participants0 Participants1 Participants2 Participants
Race (NIH/OMB)
Black or African American
53 Participants49 Participants59 Participants55 Participants216 Participants
Race (NIH/OMB)
More than one race
0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants0 Participants0 Participants0 Participants0 Participants
Race (NIH/OMB)
Unknown or Not Reported
2 Participants2 Participants3 Participants3 Participants10 Participants
Race (NIH/OMB)
White
9 Participants8 Participants6 Participants8 Participants31 Participants
Region of Enrollment
United States
65 participants59 participants68 participants70 participants262 participants
Sex: Female, Male
Female
21 Participants19 Participants15 Participants21 Participants76 Participants
Sex: Female, Male
Male
44 Participants40 Participants53 Participants49 Participants186 Participants
Short Index of Problems - Revised (SIP-R11.35 units on a scale
STANDARD_DEVIATION 3.88
11.47 units on a scale
STANDARD_DEVIATION 3.69
11.96 units on a scale
STANDARD_DEVIATION 4
12.36 units on a scale
STANDARD_DEVIATION 3.43
11.79 units on a scale
STANDARD_DEVIATION 3.75
Timeline Follow Back41.35 percent days of heavy drinking
STANDARD_DEVIATION 29.4
45.34 percent days of heavy drinking
STANDARD_DEVIATION 28.52
46.36 percent days of heavy drinking
STANDARD_DEVIATION 28.59
46.86 percent days of heavy drinking
STANDARD_DEVIATION 30.45
44.98 percent days of heavy drinking
STANDARD_DEVIATION 29.24

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
deaths
Total, all-cause mortality
0 / 652 / 593 / 681 / 70
other
Total, other adverse events
0 / 650 / 590 / 680 / 70
serious
Total, serious adverse events
6 / 658 / 599 / 6811 / 70

Outcome results

Primary

Time Line Follow Back, Percent Heavy Alcohol Use

The primary outcome measure will be percent days of heavy alcohol use (i.e., \> 5 drinks/day for men, \> 4 drinks/day for women) within each follow-up period. Studies have consistently supported the reliability and validity of the TLFB with alcohol dependent individuals. Frequency of heavy alcohol use was selected because alcohol-related problems are correlated with the frequency of heavy drinking days. This outcome is also sensitive to reductions in problematic or high risk use, which are particularly important in a disease management model.

Time frame: 18 month: months 13 - 18 post baseline

ArmMeasureValue (MEAN)Dispersion
Treatment as UsualTime Line Follow Back, Percent Heavy Alcohol Use8.10 percentage of days heavy drinkingStandard Error 2.74
Telephone Monitoring and CounselingTime Line Follow Back, Percent Heavy Alcohol Use9.97 percentage of days heavy drinkingStandard Error 3.33
ACHESSTime Line Follow Back, Percent Heavy Alcohol Use8.79 percentage of days heavy drinkingStandard Error 3.76
TMC + ACHESSTime Line Follow Back, Percent Heavy Alcohol Use5.49 percentage of days heavy drinkingStandard Error 1.79

Source: ClinicalTrials.gov · Data processed: Feb 24, 2026