Efficacy and comparative effectiveness of telephone and smartphone remote continuing care interventions for alcohol use disorder: a randomized controlled trial

The effectiveness of a drink-counting and a breathalyser-coupled smartphone application for reduced heavy drinking among alcohol-dependent adults in Sweden: A randomised controlled trial

BACKGROUND AND AIMS

Studies using smartphone apps in treatment for alcohol dependence are lacking. This study aimed to test the consumption-reducing effects of using two app-based alcohol interventions as complement to treatment as usual (TAU).

DESIGN

Three-armed, parallel, randomised controlled trial.

SETTING

Specialised outpatient clinic within the Stockholm Centre for Dependency Disorders, Stockholm, Sweden.

PARTICIPANTS

162 alcohol-dependent adults (46% female), with no social problems or mental disorders, who had no other drug use, were included. Mean age was 50 years, and the majority were highly educated, employed and had not previously received any alcohol treatment.

INTERVENTIONS

Participants were randomised to (1) TAU+drink-counting app (Glasklart, n = 52), (2) TAU+app-coupled breathalyser (iBAC Pro, n = 58) or (3) TAU only (n = 52). TAU included four sessions of clinician-led psychological treatment based on motivational interviewing/cognitive behavioural therapy, combined with pharmacotherapy when requested, for 12 weeks.

MEASUREMENTS

The primary outcome was past 4-week heavy drinking days (HDD) at 26 weeks post-randomisation, adjusted for baseline HDD, and assessed by structured interviews using Timeline Followback. Secondary outcomes included weekly consumption, consumption patterns, phosphatidylethanol and dependence at 12 and 26 weeks. Analyses compared TAU+drink-counting app and TAU+breathalyser each with TAU alone.

FINDINGS

At 26 weeks, participants with TAU+breathalyser had statistically significantly lower HDD [incidence rate ratio (IRR) = 0.67, 95% confidence interval (CI) = 0.49, 0.91] compared with those with TAU alone. There was no evidence of any effects on HDD for those with TAU+drink-counting app, compared with TAU alone (IRR = 0.94, 95% CI = 0.70, 1.25) or of any other effects.

CONCLUSIONS

In Sweden, treatment as usual (TAU) for alcohol dependence combined with a smartphone application coupled with a breathalyser was more effective than TAU alone in reducing self-reported heavy drinking. There was no evidence that TAU combined with a smartphone application for drink-counting was more effective than TAU alone.

Adaptive interventions for alcohol misuse and violent behaviors among adolescents and emerging adults in the emergency department: Outcomes from a sequential multiple assignment randomized controlled trial

INTRODUCTION

Harnessing technology for delivery of behavioral health interventions to reduce alcohol use and aggression may reduce morbidity among youth. This paper describes the outcomes from a sequential, multiple assignment, randomized trial (SMART) testing interventions for youth (ages 14-20) in the emergency department (ED).

METHODS

Youth (n = 400) in the ED screening positive for binge drinking and aggression received the SafERteens brief intervention (BI) and were randomly assigned to boosters: Text Messages (TM) or Health Coach (HC) (1st stage; weeks 1-4). Participants completed 8 weekly surveys, with outcomes assessed at 4- and 8-months. After the 1st stage, response/non-response was determined (e.g., binge drinking or aggression). Responders were re-randomized to continued or minimized condition; non-responders were re-randomized to continued or intensified condition (2nd stage; weeks 5-8). Analyses examined outcomes from the initial randomization; and comparisons between responders and non-responders on primary (alcohol consumption, aggression), secondary (alcohol consequences, violence consequences) and exploratory (alcohol misuse, victimization, drug use, drug consequences) outcomes.

RESULTS

There were no significant differences in outcomes between 1st stage boosters or 2nd stage boosters for non-responder or responder groups. However, significant changes over time were observed across all participants, with the odds of abstaining from alcohol increased at 4 (OR 3.97, 95 % CI 2.46-6.41) and 8-months (OR 4.36, 95 % CI 2.11-9.02), while the odds of aggression (OR 0.39, 95 % CI 0.16-0.94) decreased at 8-months; significant decreases were also observed for other outcomes.

CONCLUSIONS

Findings support the promise of digital health interventions for youth with binge drinking and aggression.

Audio-Based Care for Managing Mental Health and Substance Use Disorders in Adults: A Systematic Review

BACKGROUND

Telehealth services can increase access to care by reducing barriers. Telephone-administered care, in particular, requires few resources and may be preferred by communities in areas that are systemically underserved. Understanding the effectiveness of audio-based care is important to combat the current mental health crisis and inform discussions related to reimbursement privileges.

OBJECTIVES

We compared the effectiveness of audio-based care to usual care for managing mental health and substance use disorders (MHSUD).

DESIGN

We used systematic review methods to synthesize available evidence.

STUDIES

We searched for English-language articles reporting randomized controlled trials (RCTs) of adults diagnosed with MHSUD published since 2012.

OUTCOMES

We abstracted data on clinical outcomes, patient-reported health and quality of life, health care access and utilization, care quality and experience, and patient safety.

RESULTS

We included 31 RCTs of participants diagnosed with depression, post-traumatic stress disorder (PTSD), other serious mental illness (SMI), anxiety, insomnia, or substance use disorder (SUD). Most of the evidence was for interventions targeting depression, PTSD, and SUD. The evidence demonstrates promise for: (1) replacing in-person care with audio care for depression, other SMI, and SUD (very low to moderate certainty of comparable effectiveness); and (2) adding audio care to monitor or treat depression, PTSD, anxiety, insomnia, and SUD (low to moderate certainty of evidence favoring audio care for clinical outcomes).

CONCLUSIONS

MHSUD can be managed with audio care in certain situations. However, more evidence is needed across conditions, and specifically for anxiety and other conditions for which no research was identified.

Using causal mediation to examine self-efficacy as a mechanism through which continuing care interventions reduce alcohol use

OBJECTIVE

Understanding the causal mechanisms through which telephone and mobile health continuing care approaches reduce alcohol use can help develop more efficient interventions that effectively target these mechanisms. Self-efficacy for successfully coping with high-risk alcohol relapse situations is a theoretically and empirically supported mediator of alcohol treatment. This secondary analysis aims to examine self-efficacy as a mechanism through which remote-delivered continuing care interventions reduce alcohol use.

METHOD

The study included 262 adults (Mage = 46.9, SD = 7.4) who had completed 3 weeks of an intensive outpatient alcohol treatment program. The sample was predominantly male (71%), African American (82%), and completed a high school education (71%). The four-arm randomized clinical trial compared three active continuing care interventions (telephone monitoring and counseling [TMC], addiction comprehensive health enhancement support system [ACHESS], and combined delivery of TMC and ACHESS) to usual care and assessed longitudinal measures of alcohol use and self-efficacy. Analyses employed the potential outcomes framework and sensitivity analyses to address threats to causal inference resulting from an observed mediator variable.

RESULTS

Relative to usual care, the two intervention conditions that included TMC reduced alcohol use through improvements to self-efficacy. There was no evidence that self-efficacy mediated the effect of ACHESS on alcohol use.

CONCLUSIONS

Based on our findings, self-efficacy is an important mechanism through which telephone continuing care interventions affect alcohol use. Future research to identify which components of TMC influence self-efficacy and factors that mediate ACHESS effects could enhance the effectiveness of remote delivery of continuing care. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Couple-Focused Smartphone Intervention to Reduce Problem Drinking: Pilot Randomized Control Trial

BACKGROUND

Alcohol use disorder is among the most pervasive substance use disorders in the United States, with a lifetime prevalence of 30%. Recommended treatment options include evidence-based behavioral interventions; smartphone-based interventions confer a number of benefits such as portability, continuous access, and stigma avoidance; and research suggests that interventions involving couples may outperform those for patients only. In this context, a behavioral intervention delivered to couples through smartphones may serve as an effective adjunct to alcohol use disorder treatment.

OBJECTIVE

This pilot study aimed to (1) evaluate the feasibility of comparing a patient-only (Addiction version of the Comprehensive Health Enhancement Support System; A-CHESS) versus a couple-focused (Partner version of the Comprehensive Health Enhancement Support System; Partner-CHESS) eHealth app for alcohol misuse delivered by smartphone, (2) assess perceptions about and use of the 2 apps, and (3) examine initial indications of differences in primary clinical outcomes between patient groups using the 2 apps. Broadly, these aims serve to assess the feasibility of the study protocol for a larger randomized controlled trial.

METHODS

A total of 33 romantic couples were randomized to 6 months of A-CHESS app use (active treatment control) or Partner-CHESS app use (experimental). Couples comprised a patient with current alcohol use disorder (25/33, 76% male) and a romantic partner (26/33, 79% female). Patients and partners in both arms completed outcome measure surveys at 0, 2, 4, and 6 months. Primary outcomes were patients' percentage of days with heavy drinking and percentage of days with any drinking, measured by timeline follow back. Secondary outcomes included app use and perceptions, and multiple psychosocial variables.

RESULTS

At 6 months, 78% (14/18) of Partner-CHESS patients and 73% (11/15) of A-CHESS patients were still using the intervention. The apps were rated helpful on a 5-point scale (1=not at all helpful, 5=extremely helpful) by 89% (29/33) of both Partner-CHESS patients (mean 3.7, SD 1) and partners (mean 3.6, SD 0.9) and by 87% (13/15) of A-CHESS patients (mean 3.1, SD 0.9). At 6 months, Partner-CHESS patients had a nonsignificantly lower percentage of days with heavy drinking compared with A-CHESS patients (β=-17.4, 95% CI -36.1 to 1.4; P=.07; Hedges g=-0.53), while the percentage of drinking days was relatively equal between patient groups (β=-2.1, 95% CI -24.8 to 20.7; P=.85; Hedges g=-0.12).

CONCLUSIONS

Initial results support the feasibility of evaluating patient-only and couple-focused, smartphone-based interventions for alcohol misuse. Results suggest that both interventions are perceived as helpful and indicate maintained engagement of most participants for 6 months. A future, fully powered trial is warranted to evaluate the relative effectiveness of both interventions.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04059549; https://clinicaltrials.gov/ct2/show/NCT04059549.

A randomized trial testing digital medicine support models for mild-to-moderate alcohol use disorder

This paper reports the results of a hybrid effectiveness-implementation randomized trial that systematically varied levels of human oversight required to support the implementation of a digital medicine intervention for persons with mild-to-moderate alcohol use disorder (AUD). Participants were randomly assigned to three groups representing possible digital health support models within a health system: self-monitored use (SM; n = 185), peer-supported use (PS; n = 186), or a clinically integrated model CI; (n = 187). Across all three groups, the percentage of self-reported heavy drinking days dropped from 38.4% at baseline (95% CI [35.8%, 41%]) to 22.5% (19.5%, 25.5%) at 12 months. The clinically integrated group showed significant improvements in mental health and quality of life compared to the self-monitoring group (p = 0.011). However, higher attrition rates in the clinically integrated group warrant consideration in interpreting this result. Results suggest that making a self-guided digital intervention available to patients may be a viable option for health systems looking to promote alcohol risk reduction. This study was prospectively registered at clinicaltrials.gov on 7/03/2019 (NCT04011644).

Risk and protective factors for early dropout from telephone monitoring for individuals with drug convictions in community mental health centers in Japan

INTRODUCTION

Individuals involved with the criminal justice system face challenges in receiving and maintaining substance use disorder (SUD) treatment and support. Although telephone monitoring (TM) could reduce these barriers, data on TM for community-dwelling individuals involved with the criminal justice system and research on individuals who drop out of TM are scarce. We examined the factors associated with dropping out early from the Voice Bridges Project, which provides TM for individuals on probation for drug-related convictions through community mental health centers in Japan.

METHODS

Participants (n = 546) were individuals aged ≥20 years with methamphetamine-related convictions who were on probation. Univariate analyses examine the associations between one-year follow-up status and baseline variables, and multivariate Cox proportional hazards regression analyses identify the risk and protective factors associated with dropping out. Stratified analyses report results based on sex and halfway-house residency.

RESULTS

The one-year dropout rate was 43.6 % (n = 238). Multivariate analysis identified two risk factors for dropping out-halfway-house residency and suicide attempts in the past year, and two protective factors-higher education and the current use of SUD services. Sex-stratified analyses showed that halfway-house residency was a risk factor for both men and women. Attempted suicide was a risk factor for women. Conversely, higher education and current use of SUD services were protective factors for men.

CONCLUSIONS

Our results identify unique risk factors for women, such as a recent history of suicide attempts, and distinctive protective factors for men, including higher education and current use of SUD services, emphasizing the importance of sex-specific approaches. Furthermore, the study reveals that irrespective of sex, vulnerable individuals, such as halfway-house residents, are at a higher risk of dropping out from TM.

Mobile Health Interventions for Substance Use Disorders

Substance use disorders (SUDs) have an enormous negative impact on individuals, families, and society as a whole. Most individuals with SUDs do not receive treatment because of the limited availability of treatment providers, costs, inflexible work schedules, required treatment-related time commitments, and other hurdles. A paradigm shift in the provision of SUD treatments is currently underway. Indeed, with rapid technological advances, novel mobile health (mHealth) interventions can now be downloaded and accessed by those that need them anytime and anywhere. Nevertheless, the development and evaluation process for mHealth interventions for SUDs is still in its infancy. This review provides a critical appraisal of the significant literature in the field of mHealth interventions for SUDs with a particular emphasis on interventions for understudied and underserved populations. We also discuss the mHealth intervention development process, intervention optimization, and important remaining questions.

Testing support models for implementing an evidence-based digital intervention for alcohol use disorder: results of a pragmatic hybrid implementation-effectiveness trial

This paper reports results of a hybrid effectiveness-implementation randomized trial that systematically varied levels of human oversight required to support implementation of a digital medicine intervention for persons with mild to moderate alcohol use disorder (AUD). Participants were randomly assigned to three groups representing possible digital health support models within a health system: self-monitored use (n = 185), peer-supported use (n = 186), or a clinically integrated model (n = 187). Across all three groups, percentage of risky drinking days dropped from 38.4% at baseline (95%CI [35.8%, 41%]) to 22.5% (19.5%, 25.5%) at 12 months. The clinically integrated group showed significant improvements in mental health quality of life compared to the self-monitoring group (p = 0.011). However, higher rates of attrition in the clinically integrated group warrants consideration in interpreting this result. Results suggest that making a self-guided digital intervention available to patients may be a viable option for health systems looking to promote alcohol risk reduction.

Additive effects of adjunctive app-based interventions for mental disorders - A systematic review and meta-analysis of randomised controlled trials

Background

It is uncertain whether app-based interventions add value to existing mental health care.

Objective

To examine the incremental effects of app-based interventions when used as adjunct to mental health interventions.

Methods

We searched PubMed, PsycINFO, Scopus, Web of Science, and Cochrane Library databases on September 15th, 2023, for randomised controlled trials (RCTs) on mental health interventions with an adjunct app-based intervention compared to the same intervention-only arm for adults with mental disorders or respective clinically relevant symptomatology. We conducted meta-analyses on symptoms of different mental disorders at postintervention. PROSPERO, CRD42018098545.

Results

We identified 46 RCTs (4869 participants). Thirty-two adjunctive app-based interventions passively or actively monitored symptoms and behaviour, and in 13 interventions, the monitored data were sent to a therapist. We found additive effects on symptoms of depression (g = 0.17; 95 % CI 0.02 to 0.33; k = 7 comparisons), anxiety (g = 0.80; 95 % CI 0.06 to 1.54; k = 3), mania (g = 0.2; 95 % CI 0.02 to 0.38; k = 4), smoking cessation (g = 0.43; 95 % CI 0.29 to 0.58; k = 10), and alcohol use (g = 0.23; 95 % CI 0.08 to 0.39; k = 7). No significant effects were found on symptoms of depression within a bipolar disorder (g = -0.07; 95 % CI -0.37 to 0.23, k = 4) and eating disorders (g = -0.02; 95 % CI -0.44 to 0.4, k = 3). Studies on depression, mania, smoking, and alcohol use had a low heterogeneity between the trials. For other mental disorders, only single studies were identified. Only ten studies had a low risk of bias, and 25 studies reported insufficient statistical power.

Discussion

App-based interventions may be used to enhance mental health interventions to further reduce symptoms of depression, anxiety, mania, smoking, and alcohol use. However, the effects were small, except for anxiety, and limited due to study quality. Further high-quality research with larger sample sizes is warranted to better understand how app-based interventions can be most effectively combined with established interventions to improve outcomes.

Telephone monitoring and 15-month outcomes for patients with co-occurring substance use and mental health disorders: Moderating effects of high-risk patient characteristics

INTRODUCTION

Telephone monitoring interventions for substance use disorders are an important component of continuing care to reduce relapse and connect patients to services. However, a knowledge gap still exists as to which patient groups benefit most from them. This secondary analysis of a randomized controlled trial examined moderators of associations between telephone monitoring and 15-month substance use outcomes among patients with co-occurring substance use and mental health disorders. High-risk patient characteristics at baseline were examined as potential moderators of the effectivness of telephone monitoring, including history of incarceration, severity of depression symptoms, and suicide risk.

METHODS

Participants were 406 psychiatry inpatients with documented substance use and mental health disorders who were randomized to treatment as usual (TAU; n = 199) or TAU plus telephone monitoring (TM; n = 207). Outcomes included abstinence self-efficacy (Brief Situational Confidence Questionnaire) and alcohol and drug use severity (Addiction Severity Index composites) at 15-month follow-up. Analyses examined main effects of treatment condition and moderators, and interactions between treatment condition and moderators.

RESULTS

The study found five significant main effects, three of which were qualified by significant interactions. Incarceration history was associated with higher drug use severity; higher suicide risk was associated with higher abstinence self-efficacy. Regarding interaction effects, among participants with an incarceration history, TM compared to TAU was associated with significantly lower alcohol use severity at 15-month follow-up; this finding did not hold for never-incarcerated participants. For participants with less severe depression symptoms, TM compared to TAU was associated with significantly lower alcohol use severity and higher abstinence self-efficacy at follow-up; this did not hold for participants with more severe depression symptoms. Suicide risk was not a significant moderator of any outcome.

CONCLUSIONS

Results indicate that TM is effective in improving alcohol use severity and abstinence self-efficacy for some subgroups of patients, including patients with an incarceration history or less severe depression. Results inform the clinical provision of substance use disorder care by means of telehealth, which increased due to the COVID-19 pandemic.

The efficacy of an internet-based cognitive behavioral program added to treatment-as-usual for alcohol-dependent patients in primary care: a randomized controlled trial

BACKGROUND AND AIMS

Most alcohol-dependent people have a moderate level of dependence. General practitioners (GPs) hesitate to engage in this area, and need to have access to treatment they find applicable and feasible to use. The aim of this present study was to test if an open-ended internet-based cognitive-behavioral therapy (iCBT) program added to treatment-as-usual (TAU) is more effective than TAU-only for alcohol-dependent patients in primary care.

DESIGN, SETTING AND PARTICIPANTS

The present study was a two-group, parallel, randomized controlled superiority trial comparing iCBT+TAU versus TAU-only at 3- and 12-month follow-ups. TAU was delivered at 14 primary care centers in Stockholm, Sweden. A total of 264 patients (mean age 51 years, of whom 148 were female and 116 were male) with alcohol dependence and hazardous alcohol consumption were enrolled between September 2017 and November 2019.

MEASUREMENTS

Participants were randomized at a ratio of 1:1 to iCBT, as a self-help intervention added to TAU (n = 132) or to TAU-only (n = 132). The GPs gave participants in both treatment arms feedback on the assessments and biomarkers and offered TAU at the primary care center. Primary outcome was weekly alcohol consumption in g/week at 12-month follow-up, analyzed according to intention-to-treat (n = 132 + 132). The per-protocol analysis included participants who completed at least one module of iCBT (n = 102 + 132).

FINDINGS

There was no significant difference in weekly alcohol consumption between iCBT+TAU and TAU in the intention-to-treat (ITT) analysis at 12-month follow-up [iCBT+TAU = 133.56 (95% confidence interval, CI = 100.94-166.19) and TAU = 176.20 (95% CI = 144.04-208.35), P = 0.068, d = 0.23]. In the per-protocol analysis, including only those who initiated iCBT, the iCBT+TAU group showed lower mean weekly alcohol consumption compared with TAU [iCBT+TAU = 107.46 (95% CI = 71.17-143.74), TAU = 176.00 (95% CI = 144.21-207.80), P = 0.010, d = 0.42].

CONCLUSIONS

In Sweden, an internet-based cognitive-behavioral program added to treatment-as-usual to reduce alcohol consumption showed weak evidence of a benefit at 12 months in the intention-to-treat analysis and good evidence of a benefit in the per-protocol analysis.

Leveraging mHealth and Wearable Sensors to Manage Alcohol Use Disorders: A Systematic Literature Review

Background: Alcohol use disorder (AUD) is a condition prevalent in many countries around the world, and the public burden of its treatment is close to $130 billion. mHealth offers several possible interventions to assist in the treatment of AUD. Objectives: To analyze the effectiveness of mHealth and wearable sensors to manage AUD from evidence published over the last 10 years. Methods: Following the Kruse Protocol and PRISMA 2020, four databases were queried (PubMed, CINAHL, Web of Science, and Science Direct) to identify studies with strong methodologies (n = 25). Results: Five interventions were identified, and 20/25 were effective at reducing alcohol consumption. Other interventions reported a decrease in depression and an increase in medication compliance. Primary barriers to the adoption of mHealth interventions are a requirement to train users, some are equally as effective as the traditional means of treatment, cost, and computer literacy. Conclusion: While not all mHealth interventions demonstrated statistically significant reduction in alcohol consumption, most are still clinically effective to treat AUD and provide a patient with their preference of a technologically inclined treatment Most interventions require training of users and some technology literacy, the barriers identified were very few compared with the litany of positive results.

Digital approaches to continuing care

PURPOSE OF REVIEW

To provide an update of studies on the effectiveness of digital and telephonic approaches to providing remote continuing care for substance use disorders.

RECENT FINDINGS

Effective continuing care can be provided via smartphone apps, text messaging, interactive voice response, and structured telephone counseling. The remote continuing care interventions with the strongest evidence of efficacy are the Addiction Comprehensive Health Enhancement Support System app and Telephone Monitoring and Counseling. Positive effects for these intervention on drinking outcomes in patients with alcohol use disorders were replicated in a recent randomized controlled study.

SUMMARY

Continuing care is widely believed to be an important component of treatment for substance use disorders, especially for sustaining positive outcomes. However, many individuals do not attend clinic-based continuing care, due to a variety of reasons, including competing work and family responsibilities, disabilities, transportation challenges, and recently the COVID-19 pandemic. Remote continuing care, provided via smartphone apps, text messaging, and various telephonic approaches, has been shown to be effective, and could be used to provide continuing care to patients who would otherwise not receive it. Further work is needed to determine how to effectively combine more traditional continuing care with newer digitized and telephonic approaches.