Computer and mobile technology-based interventions for substance use disorders: an organizing framework

Digital Interventions to Modify Skin Cancer Risk Behaviors in a National Sample of Young Adults: Randomized Controlled Trial

BACKGROUND

Young adults engage in behaviors that place them at risk for skin cancer. Dissemination of digital health promotion interventions via social media is a potentially promising strategy to modify skin cancer risk behaviors by increasing UV radiation (UVR) protection and skin cancer examinations.

OBJECTIVE

This study aimed to compare 3 digital interventions designed to modify UVR exposure, sun protection, and skin cancer detection behaviors among young adults at moderate to high risk of skin cancer.

METHODS

This study was a hybrid type II effectiveness-implementation randomized controlled trial of 2 active interventions, a digital skin cancer risk reduction intervention (UV4.me [basic]) compared with an enhanced version (UV4.me2 [enhanced]), and an electronic pamphlet (e-pamphlet). Intervention effects were assessed over the course of a year among 1369 US young adults recruited primarily via Facebook and Instagram. Enhancements to encourage intervention engagement and behavior change included more comprehensive goal-setting activities, ongoing proactive messaging related to previously established mediators (eg, self-efficacy) of UVR exposure and protection, embedded incentives for module completion, and ongoing news and video updates. Primary outcome effects assessed via linear regression were UVR exposure and sun protection and protection habits. Secondary outcome effects assessed via logistic regression were skin self-exams, physician skin exams, sunscreen use, indoor tanning, and sunburn.

RESULTS

The active interventions increased sun protection (basic: P=.02; enhanced: P<.001) and habitual sun protection (basic: P=.04; enhanced P=.01) compared with the e-pamphlet. The enhanced intervention increased sun protection more than the basic one. Each active intervention increased sunscreen use at the 3-month follow-up (basic: P=.03; enhanced: P=.01) and skin self-exam at 1 year (basic: P=.04; enhanced: P=.004), compared with the e-pamphlet. Other intervention effects and differences between the Basic and Enhanced Intervention effects were nonsignificant.

CONCLUSIONS

The active interventions were effective in improving several skin cancer risk and skin cancer prevention behaviors. Compared with the basic intervention, the enhanced intervention added to the improvement in sun protection but not other behaviors. Future analyses will explore intervention engagement (eg, proportion of content reviewed).

TRIAL REGISTRATION

ClinicalTrials.gov NCT03313492; http://clinicaltrials.gov/ct2/show/NCT03313492.

Technology-based interventions for tobacco smoking prevention and treatment: a 20-year bibliometric analysis (2003-2022)

BACKGROUND

Substance abuse, particularly tobacco smoking, is a significant global public health concern. Efforts have been made to reduce smoking prevalence and promote cessation, but challenges, such as nicotine addiction, marketing tactics by tobacco industry, and cultural acceptability hinder progress. Technology has emerged as a potential tool to address these challenges by providing innovative scalable interventions. The objective of the study was to analyze and map scientific literature on technology-based intervention for tobacco prevention and treatment.

METHODS

A bibliometric methodology was conducted. Scopus database was used to retrieve relevant research articles published between 2003 and 2022. The analysis included publication trends, key contributors, research hotspots, research themes, the most impactful articles, and emerging research topics.

RESULTS

A total of 639 articles were found, with a slow and fluctuating growth pattern observed after 2011. The Journal of Medical Internet Research was the most prominent journal in the field. The United States was the leading country in the field, followed up by the United Kingdom, and the Netherlands. Research hotspots included smoking cessation, randomized controlled trials, and technology-based methods such as internet, mHealth, smartphone apps, text messages, and social media. Four primary research themes were identified: development of smartphone applications, efficacy of text messaging interventions, acceptance and effectiveness of smartphone applications, and interventions targeting young adults and students using mobile phone and social media platforms. The top 10 cited articles demonstrated effectiveness of digital interventions in promoting smoking cessation rates and reducing relapse rates. Emerging research topics included the use of virtual reality interventions, interventions for specific populations through personalized tools, and technology-based interventions in non-Western countries.

CONCLUSIONS

The findings of the current study highlight the potential of technology to address the challenges associated with tobacco smoking. Further future research in this area is warranted to continue advancing the field and developing effective and evidence-based interventions to combat tobacco smoking.

Management of Patients After Treatment of Severe Alcohol-associated Hepatitis

Alcohol-associated liver disease is the leading indication for hospitalization among patients with chronic liver disease. Rates of hospitalization for alcohol-associated hepatitis have been rising over the last 2 decades. Patients with alcohol-associated hepatitis carry significant morbidity and mortality, but there is a lack of standardized postdischarge management strategies to care for this challenging group of patients. Patients warrant management of not only their liver disease but also their alcohol use disorder. In this review, we will discuss outpatient management strategies for patients who were recently hospitalized and discharged for alcohol-associated hepatitis. We will discuss short management of their liver disease, long-term follow-up, and review-available treatment options for alcohol use disorder and challenges associated with pursuing treatment for alcohol use disorder.

A Digital Counselor-Delivered Intervention for Substance Use Among People With HIV: Development and Usability Study

BACKGROUND

Substance use disorders are prevalent and undertreated among people with HIV. Computer-delivered interventions (CDIs) show promise in expanding reach, delivering evidence-based care, and offering anonymity. Use in HIV clinic settings may overcome access barriers. Incorporating digital counselors may increase CDI engagement, and thereby improve health outcomes.

OBJECTIVE

We aim to develop and pilot a digital counselor-delivered brief intervention for people with HIV who use drugs, called "C-Raven," which is theory grounded and uses evidence-based practices for behavior change.

METHODS

Intervention mapping was used to develop the CDI including a review of the behavior change research in substance use, HIV, and digital counselors. We conducted in-depth interviews applying the situated-information, motivation, and behavior skills model and culturally adapting the content for local use with people with HIV. With a user interaction designer, we created various digital counselors and CDI interfaces. Finally, a mixed methods approach using in-depth interviews and quantitative assessments was used to assess the usability, acceptability, and cultural relevance of the intervention content and the digital counselor.

RESULTS

Participants found CDI easy to use, useful, relevant, and motivating. A consistent suggestion was to provide more information about the negative impacts of drug use and the interaction of drug use with HIV. Participants also reported that they learned new information about drug use and its health effects. The CDI was delivered by a "Raven," digital counselor, programmed to interact in a motivational interviewing style. The Raven was perceived to be nonjudgmental, understanding, and emotionally responsive. The appearance and images in the intervention were perceived as relevant and acceptable. Participants noted that they could be more truthful with a digital counselor, however, it was not unanimously endorsed as a replacement for a human counselor. The C-Raven Satisfaction Scale showed that all participants rated their satisfaction at either a 4 (n=2) or a 5 (n=8) on a 5-point Likert scale and all endorsed using the C-Raven program again.

CONCLUSIONS

CDIs show promise in extending access to care and improving health outcomes but their development necessarily requires integration from multiple disciplines including behavioral medicine and computer science. We developed a cross-platform compatible CDI led by a digital counselor that interacts in a motivational interviewing style and (1) uses evidence-based behavioral change methods, (2) is culturally adapted to people with HIV who use drugs, (3) has an engaging and interactive user interface, and (4) presents personalized content based on participants' ongoing responses to a series of menu-driven conversations. To advance the continued development of this and other CDIs, we recommend expanded testing, standardized measures to evaluate user experience, integration with clinician-delivered substance use treatment, and if effective, implementation into HIV clinical care.

Automated Digital Interventions and Smoking Cessation: Systematic Review and Meta-analysis Relating Efficiency to a Psychological Theory of Intervention Perspective

Background

Smoking remains a highly significant preventable global public health problem. In this context, digital interventions offer great advantages in terms of a lack of biological side effects, possibility of automatic delivery, and consequent human resource savings relative to traditional interventions. Such interventions have been studied in randomized controlled trials (RCTs) but have not been systematically reviewed with the inclusion of text-based and multiplatform-based interventions. In addition, this area has not been evaluated from the perspective of the psychological theoretical basis of intervention.

Objective

The aim of this paper is to assess the efficiency of digital interventions in RCT studies of smoking cessation and to evaluate the effectiveness of the strategies used for digital interventions.

Methods

An electronic search of RCTs was conducted using PubMed, Embase, and the Cochrane Library by June 30, 2021. Eligible studies had to compare automated digital intervention (ADI) to the use of a self-help guideline or no intervention. Participants were current smokers (aged 16 years or older). As the main outcome, abstinence after endpoint was extracted from the studies. Systematic review and meta-analysis were conducted to assess the efficiency of ADIs. Metaregressions were conducted to assess the relationship between intervention theory and effectiveness.

Results

A total of 19 trials (15,472 participants) were included in the analysis. The overall abstinence rate (95% CI) at the endpoint was 17.8% (17.0-18.7). The overall risk ratio of the intervention group compared to the controls at the endpoint was 17.8% (17.0-18.7). Cochrane risk-of-bias tool for randomized trials (ROB 2) suggested that most of the studies had a low risk of bias (56.3%). Psychological theory–related constructs or predictors, which refer to other theory-based concepts (rather than only behavioral theory) such as craving or anxiety, are associated with effectiveness.

Conclusions

This study found that ADI had a clear positive effect compared to self-help guidelines or to no intervention, and effectiveness was associated with theory-related constructs or predictors. ADIs should be promoted by policy makers and clinical practitioners to address the huge gap between the need for smoking cessation and availability of traditional treatment resources. Possible increases in ADI efficiency may be achieved by optimally integrating psychotherapeutic theories and techniques.

Trial Registration

PROSPERO CRD42021256593; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=256593

A Review of Digital Interventions to Decrease Cannabis Use Among Patients With Comorbid Psychiatric Disorders

OBJECTIVE

Cannabis use disorder (CUD) is associated with an elevated risk for psychiatric disorders and symptoms, contributing to poor health outcomes and increased medical costs. Unfortunately, interventions that simultaneously address cannabis use and co-occurring psychiatric disorders are limited in availability. Targeted digital interventions to reduce cannabis use could be beneficial for patients with psychiatric disorders. Digital interventions could be easily disseminated and used in numerous clinical locations, including outpatient, inpatient, residential, and community psychiatric treatment settings.

METHODS

Literature on digital cannabis reduction interventions for persons with psychiatric disorders was examined between April 2021 and June 2021. Articles were obtained from PubMed and PsycINFO databases. English language randomized controlled trials (RCT), feasibility and acceptability studies, pilot studies, and published protocols were included.

RESULTS

There is significant evidence that digital interventions can effectively reduce cannabis use in general, non-clinical populations. However, there is less literature examining interventions for persons living with co-occurring psychiatric illness-most of which is tailored to patients living with chronic psychosis.

CONCLUSIONS

There is great need for accessible and tailored digital interventions for co-occurring CUD and psychiatric disorders.

Interoceptive anxiety-related processes: Importance for understanding COVID-19 and future pandemic mental health and addictive behaviors and their comorbidity

The COVID-19 pandemic is associated with an increased prevalence of mental health problems and addictive behaviors. There is a growing theoretical and empirical evidence that individual differences in interoceptive anxiety-related processes are a one set of vulnerability factors that are important in understanding the impact of pandemic-related mental health problems and addictive behavior. However, there has not been a comprehensive effort to explore this rapidly growing body of research and its implications for public health. In this paper, we discuss why interoceptive anxiety-related processes are relevant to understanding mental health and addictive behaviors during the COVID-19 pandemic. We then provide a narrative review of the available COVID-19 literature linking interoceptive fear and anxiety-related processes (e.g., anxiety sensitivity, health anxiety, and COVID-19 anxiety, fear, and worry) to mental health and addictive behaviors. We then propose a novel transdiagnostic theoretical model that highlights the role of interoceptive anxiety-related processes in mental health and addictive behavior in the context of the present and future pandemics. In the final section, we utilize this conceptualization to underscore clinical implications and provide guidance for future research initiatives in the management of COVID-19 mental health and addictive behaviors and inform the public health field for future pandemics.

Systematic Review of Smartphone Apps as a mHealth Intervention to Address Substance Abuse in Adolescents and Adults

BACKGROUND

Substance abuse represents a foremost national concern for adolescents and adults; investigators have implemented a variety of interventions, delivered with both in-person and mobile-based apps' modalities. The electronic techniques could be more effective because they avoid the cost, privacy, and accessibility issues associated with in-person intervention. To address this issue, a systematic review of the scientific evidence relative to the efficacy of app-based interventions delivered by mobile devices (smartphones) to reduce substance abuse in adolescents and adults was carried out.

METHODS

To identify relevant studies published from 2005 to 2019, a comprehensive search was conducted. Databases that were searched include CINAHL, Cochrane CENTRAL, Embase, PsycINFO, PubMed, and Web of Science. Keywords and relevant controlled vocabulary terms related to substance abuse and technology were included. Studies were included if they had examined reductions in substance abuse and problem behaviors as a primary outcome with app-based interventions delivered to adolescents and adults.

RESULTS

The initial search yielded 21,641 articles, duplicates were removed, and 14,797 citations remained; title/abstract screening yielded 190 full-text articles. One hundred seventy-three were excluded because they did not meet the inclusion criteria, leaving 17 final articles to be analyzed in this review. Use of app-based interventions showed some evidence of effectiveness in reducing substance abuse in the adolescent adult population.

CONCLUSION

Most intervention studies analyzed focused on alcohol reduction. Further research is needed on diverse substance abuse utilizing larger sample sizes, longitudinal studies, and theoretical foundations on the practice of delivering interventions using mobile-based apps.

Benefits of Digital Health Resources for Substance Use Concerns in Women: Scoping Review

BACKGROUND

Digital health resources are being increasingly used to support women with substance use concerns. Although empirical research has demonstrated that these resources have promise, the available evidence for their benefit in women requires further investigation. Evidence supports the capacity of interventions that are sex-, gender-, and trauma-informed to improve treatment access and outcomes and to reduce health system challenges and disparities. Indeed, both sex- and gender-specific approaches are critical to improve health and gender equity. Violence and trauma are frequent among those with substance use concerns, but they disproportionately affect those who identify as female or women, further underscoring the need for trauma-informed care as well.

OBJECTIVE

The objective of this investigation was to evaluate the evidence supporting the efficacy or effectiveness of online or mobile interventions for risky or harmful substance use in adults who identify as female or women, or who report a history of trauma.

METHODS

This scoping review is based on an academic search in MEDLINE, APA PsycINFO, Embase, Cochrane Central, and CINAHL, as well as a grey literature search in US and Canadian government and funding agency websites. Of the 7807 records identified, 465 remained following title and abstract screening. Of these, 159 met all eligibility criteria and were reviewed and synthesized.

RESULTS

The 159 records reflected 141 distinct studies and 125 distinct interventions. Investigations and the interventions evaluated predominantly focused on alcohol use or general substance use. Evaluated digital health resources included multisession and brief-session interventions, with a wide range of therapeutic elements. Multisession online and mobile interventions exhibited beneficial effects in 86.1% (105/122) of studies. Single-session interventions similarly demonstrated beneficial effects in 64.2% (43/67) of study conditions. Most investigations did not assess gender identity or conduct sex- or gender-based analyses. Only 13 investigations that included trauma were identified.

CONCLUSIONS

Despite the overall promise of digital health interventions for substance use concerns, direct or quantitative evidence on the efficacy or effectiveness of interventions in females or women specifically is weak.

Parent SMART (Substance Misuse in Adolescents in Residential Treatment): Pilot randomized trial of a technology-assisted parenting intervention

Adolescents in residential level of care for substance-related problems have high risk of relapse following discharge. Parent engagement lowers relapse risk, but there are myriad barriers to engaging parents in residential treatment and continuing care. Parent SMART (Substance Misuse in Adolescents in Residential Treatment) is a technology-assisted parenting intervention that was designed to circumvent barriers associated with traditional, office-based continuing care interventions to better engage parents. This pilot randomized trial assessed the acceptability, feasibility, and preliminary effectiveness of Parent SMART as an adjunctive intervention to adolescent residential treatment-as-usual (TAU). Sixty-one parent-adolescent dyads were randomized to Parent SMART+TAU or TAU-only. Thirty-seven dyads were recruited from a short-term facility and 24 dyads were recruited from a long-term facility. Those randomized to Parent SMART received a multi-component technology-assisted intervention combining an off-the-shelf online parenting program, coaching sessions, and a parent networking forum. Parent and adolescent assessments were conducted at baseline, 6, 12, and 24-weeks post-discharge. Feasibility (e.g., parental effectiveness) and acceptability (e.g., parental satisfaction, willingness to recommend the intervention) benchmarks were specified a priori as the primary hypotheses. Secondary effectiveness indicators were the proportion of days adolescent used alcohol, cannabis, and any substance. All acceptability and feasibility benchmarks were met or exceeded among dyads in both short- and long-term residential. Generalized linear mixed models showed no significant effects pooled across sites. Analyses by facility revealed two significant time by condition interactions. Adolescents in short-term residential whose parents received Parent SMART showed fewer drinking days and fewer school problems over time, relative to adolescents whose parents received TAU. Results indicate that Parent SMART was both acceptable and feasible, with preliminary indication of effectiveness among those in short-term residential. A fully-powered trial is warranted to reliably test the effectiveness of Parent SMART and understand possible mechanisms of improvement.

The effectiveness of technology-based interventions for smoking cessation: An umbrella review and quality assessment of systematic reviews

ISSUES

With the advancement and rapid increase in the public's interest in utilisation of Internet and mobile phones, technology-based interventions are being implemented across a range of health conditions to improve patient outcomes. The aim of this review was to summarise findings from systematic reviews that evaluated the effectiveness of technology-based smoking cessation interventions and to critically appraise their methodological qualities.

APPROACH

An umbrella review was conducted using studies identified from a comprehensive literature search of six databases and grey literature. All included systematic reviews were checked for eligibility criteria and quality using the Assessment of Multiple Systematic Reviews tool. The level of evidence for each intervention category was assessed, citation matrices were generated and corrected covered area was calculated.

KEY FINDINGS

Five systematic reviews with a total of 212 randomised controlled trials and 237 760 participants were included. Fourteen intervention approaches were identified and classified into three categories: stand-alone web-based; stand-alone mobile phone-based and multicomponent interventions. Incorporating web and/or mobile-based interventions with face-to-face approach improved the rate of smoking cessation. However, there was no consistent evidence regarding the effectiveness of stand-alone Internet or mobile-based interventions.

IMPLICATIONS

Policymakers are recommended to develop strategies that enable health professionals to integrate these approaches with face-to-face smoking cessation support. Health professionals are recommended to be trained and equipped for online and mobile-based interventions.

CONCLUSION

Adding technology-based intervention to face-to-face smoking cessation support improves smoking cessation. Further research is needed to evaluate stand-alone web-based and mobile phone-based interventions.

Text4Support Mobile-Based Programming for Individuals Accessing Addictions and Mental Health Services-Retroactive Program Analysis at Baseline, 12 Weeks, and 6 Months

Objective: Where traditional approaches fall short, widely accessible and accepted, yet under leveraged, digital technologies such as text messaging present novel opportunities to solve a range of health care solutions. The following provides a preliminary analysis of the Text4Support program, a text-messaging intervention using the principles of cognitive behavioral therapy, which seeks to support the health and well-being of individuals seeking support for addiction or mental health concerns. The goal of this study was to assess whether the Text4Support program improved the perceived overall mental well-being of participants. Methods: The evaluation analyzes survey responses of individuals who were enrolled in the Text4Support program beginning in July 2019, who had completed the 6-months program by May 2020. Participants were asked to provide responses to three surveys during their time in the program-at baseline, 12-weeks and 6-months, which included questions documenting demographic information, general satisfaction with the program, and a participants' level of "global distress" through use of the Clinical Outcomes Routine Evaluation System (CORE-10)-a validated brief 10-item assessment and outcome measurement tool used to assess conditions including anxiety, depression, physical problems, and risk to self. Results and Conclusions: This data set did not include a large enough sample of participants to reach statistical significance. Nevertheless, the study provides some preliminary analysis, and identifies opportunities for the future analysis and research.

Clinician's Guide to Evaluating and Developing eHealth Interventions for Mental Health

Objective

This review aimed to examine key information regarding technology‐delivered interventions for patients with mental health and/or substance use disorders and to provide support for efforts by psychiatrists and other mental health professionals in recommending applications or helping to develop new technology‐delivered interventions.

Methods

The authors reviewed existing information about the appraisal, development, and evaluation of technology‐delivered interventions (eHealth interventions).

Results

High‐level guidance is available for clinicians who want to evaluate eHealth applications for their patients. Clinicians should be familiar with existing models of eHealth intervention development and with traditional as well as unique elements in the evaluation of efficacy for these approaches. However, existing intervention development models have not been empirically validated, and only one includes empirical optimization as an inherent part of its process.

Conclusions

Because of the proliferation of eHealth interventions, mental health professionals should bring to this area the same level of content knowledge, understanding of development and evaluation processes, and rigorous skepticism as they do for pharmacotherapy and therapist‐delivered behavioral interventions.

eHealth interventions are rapidly transforming mental health treatment.

Clinicians should apply the same rigor to evaluating eHealth interventions that they apply to pharmacological treatments or other behavioral therapies.

High‐level guidance and recommendations regarding ideal eHealth intervention development are available to aid in such evaluation, but empirical evidence in support of these guidelines is lacking.

Intensive longitudinal methods for studying the role of self-regulation strategies in substance use behavior change

Purpose of review

Many psychosocial interventions for substance use disorders (SUDs) focus on teaching self-regulation strategies. Research using intensive longitudinal methods (ILM), such as ecological momentary assessment and daily diaries, is critical for elucidating if and how these strategies function as mechanisms of change among individuals with SUDs. We review this emerging area of research.

Recent findings

We found a small number of studies using ILM to study self-regulation strategies in SUD (n=18 studies), with most conducted among college student drinkers (n=9) and cigarette smokers (n=7), and few among treatment-engaged individuals, and those with other drug use disorders. There is preliminary evidence that the use of specific self-regulation strategies commonly taught in psychosocial interventions for SUDs (i.e., cognitive reappraisal, problem solving, stimulus control, harm reduction) is associated with decreased momentary or daily substance use, at the within-person level.

Summary

There is a need for further ILM research on self-regulation strategies as mechanisms of substance use behavior change. Such research can inform the development, refinement, and personalization of interventions that teach self-regulation strategies, including mobile interventions that facilitate strategy use in the moment. One key next step is developing psychometrically validated ILM assessments of self-regulation strategy use.

Giving and receiving social support in online substance use disorder forums: How self-efficacy moderates effects on relapse

OBJECTIVE

Individuals in recovery for substance use disorders (SUDs) increasingly use online social support forums, necessitating research on how communicating through these forums can affect recovery. This study examines how giving and receiving support within an SUDs recovery forum predict substance use, and considers whether effects vary according to participants' self-efficacy.

METHODS

We applied content analysis to 3440 messages that were posted by 231 participants in an online SUDs forum. Surveys assessed social support reception and substance use at three timepoints. We assessed relationships between giving and receiving support and substance use (risky drinking days, illicit drug use days), and the interactions between self-efficacy and social support in predicting substance use outcomes.

RESULTS

Receiving more emotional support was associated with reduced illicit drug use at 6 and 12 months. For those with low self-efficacy, giving more emotional support predicted less risky drinking at month 12, whereas giving more informational support predicted more risky drinking at month 12.

CONCLUSION

These results suggest conditional benefits of exchanging support in an online SUDs forum, depending upon type of support (informational versus emotional), the participants' role (giver or receiver), and their self-efficacy.

PRACTICE IMPLICATIONS

We discuss implications for designing and using peer-to-peer support platforms.

Examining the Usage, User Experience, and Perceived Impact of an Internet-Based Cognitive Behavioral Therapy Program for Adolescents With Anxiety: Randomized Controlled Trial

BACKGROUND

Internet-based cognitive behavioral therapy (iCBT) increases treatment access for adolescents with anxiety; however, completion rates of iCBT programs are typically low. Understanding adolescents' experiences with iCBT, what program features and changes in anxiety (minimal clinically important difference [MCID]) are important to them, may help explain and improve iCBT program use and impact.

OBJECTIVE

Within a randomized controlled trial comparing a six-session iCBT program for adolescent anxiety, Being Real, Easing Anxiety: Tools Helping Electronically (Breathe), with anxiety-based resource webpages, we aimed to (1) describe intervention use among adolescents allocated to Breathe or webpages and those who completed postintervention assessments (Breathe or webpage respondents); (2) describe and compare user experiences between groups; and (3) calculate an MCID for anxiety and explore relationships between iCBT use, experiences, and treatment response among Breathe respondents.

METHODS

Enrolled adolescents with self-reported anxiety, aged 13 to 19 years, were randomly allocated to Breathe or webpages. Self-reported demographics and anxiety symptoms (Multidimensional Anxiety Scale for Children-2nd edition [MASC-2]) were collected preintervention. Automatically-captured Breathe or webpage use and self-reported symptoms and experiences (User Experience Questionnaire for Internet-based Interventions) were collected postintervention. Breathe respondents also reported their perceived change in anxiety (Global Rating of Change Scale [GRCS]) following program use. Descriptive statistics summarized usage and experience outcomes, and independent samples t tests and correlations examined relationships between them. The MCID was calculated using the mean MASC-2 change score among Breathe respondents reporting somewhat better anxiety on the GRCS.

RESULTS

Adolescents were mostly female (382/536, 71.3%), aged 16.6 years (SD 1.7), with very elevated anxiety (mean 92.2, SD 18.1). Intervention use was low for adolescents allocated to Breathe (mean 2.2 sessions, SD 2.3; n=258) or webpages (mean 2.1 visits, SD 2.7; n=278), but was higher for Breathe (median 6.0, range 1-6; 81/258) and webpage respondents (median 2.0, range 1-9; 148/278). Total user experience was significantly more positive for Breathe than webpage respondents (P<.001). Breathe respondents reported program design and delivery factors that may have challenged (eg, time constraints and program support) or facilitated (eg, demonstration videos, self-management activities) program use. The MCID was a mean MASC-2 change score of 13.8 (SD 18.1). Using the MCID, a positive treatment response was generated for 43% (35/81) of Breathe respondents. Treatment response was not correlated with respondents' experiences or use of Breathe (P=.32 to P=.88).

CONCLUSIONS

Respondents reported positive experiences and changes in their anxiety with Breathe; however, their reports were not correlated with program use. Breathe respondents identified program design and delivery factors that help explain their experiences and use of iCBT and inform program improvements. Future studies can apply our measures to compare user experiences between internet-based interventions, interpret treatment outcomes and improve treatment decision making for adolescents with anxiety.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02970734 https://clinicaltrials.gov/ct2/show/NCT02970734.

The Efficacy of Technology-Based Interventions for Alcohol and Illicit Drug Use Among Women of Childbearing Age: A Systematic Review and Meta-Analysis

BACKGROUND

Alcohol and illicit drug use is prevalent among women of childbearing age and may lead to higher risk for substance-exposed pregnancy and related health consequences for both women and their offspring. Technology-based interventions (TBIs) are increasingly used to prevent or reduce substance use among women of childbearing age. The efficacy of these approaches, however, is unclear. This review critically reviewed existing research evidence from randomized controlled trials (RCTs) on the efficacy of TBIs in preventing and reducing alcohol and illicit drug use among childbearing-aged women.

METHODS

Seven electronic databases were searched to identify eligible studies. Two reviewers independently screened studies, extracted data, and assessed risks of bias. Robust variance estimation in meta-regression was used to estimate effect sizes and conduct moderator analyses.

RESULTS

Fifteen RCTs including 3,488 participants were included in the systematic review. Meta-analysis results based on 13 RCTs suggest that TBIs were efficacious relative to control conditions in preventing and reducing substance use among women of childbearing age (d = 0.19, 95% CI = 0.02, 0.35). Preliminary moderator analysis results suggest that the efficacy of TBIs might not vary by participant age, race/ethnicity, the type of technology used, or whether a virtual health assistant was used. TBIs' efficacy in terms of specific substance use types (alcohol use and illicit drug use) or control types (inactive control and active controls) was inconclusive, due to the limited number of studies in each category.

CONCLUSIONS

This systematic review and meta-analysis found evidence of TBIs' efficacy in reducing alcohol and illicit drug use among women of childbearing age. Implications for future research and practice are discussed.

Online Intervention as Strategy to Reach Men Who Have Sex With Other Men and Who Use Substances in a Sexual Context. Development of the MONBUZZ.ca Project

Men who have sex with men (MSM) use more psychoactive substances and a greater variety of them compared to their heterosexual peers. In this population, substance use is particularly characterized by polydrug use, binge, and sexualized substance use. MSM who use substances do not recognize themselves in public health messages targeting substance users. In addition, they recognize their problematic substance use later than heterosexuals and, as a result, they use addiction services later in their addiction trajectories. When accessing addiction services, the links between drug use and sexual life are rarely considered. Because of this profile, online interventions are a promising way to reach this hard-to-reach population. Currently available online interventions targeting MSM address the topics of substance use and sexual life separately. To deal with this situation, our team wanted to develop an online intervention platform for MSM who use substances in a sexual context. Given that online addiction interventions do not address sex and that MSM drug use is highly related to sexual activity, we first explored the literature related to online interventions targeting MSM and HIV risk behaviors, as well as online interventions targeting general population in order to: (1) identify relevant (or personalized) intervention methods; (2) describe the approaches used; and (3) describe their effects. Second, we turned to the literature to develop the MONBUZZ.ca project in collaboration with community organizations. The results of the narrative review provided a critical portrait of online interventions for MSM and guided the development process of MONBUZZ.ca. We discuss issues of co-development of a research and brief intervention tool based on promising practices as well as challenges of its implementation and evaluation.

A Reciprocal Model of Pain and Substance Use: Transdiagnostic Considerations, Clinical Implications, and Future Directions

Pain and substance use are highly prevalent and co-occurring conditions that continue to garner increasing clinical and empirical interest. Although nicotine and tobacco, alcohol, and cannabis each confer acute analgesic effects, frequent or heavy use may contribute to the development and progression of chronic pain, and pain may be heightened during abstinence. Additionally, pain can be a potent motivator of substance self-administration, and it may contribute to escalating use and poorer substance-related treatment outcomes. We integrated converging lines of evidence to propose a reciprocal model in which pain and substance use are hypothesized to interact in the manner of a positive feedback loop, resulting in the exacerbation and maintenance of both conditions over time. Theoretical mechanisms in bidirectional pain-substance use relations are reviewed, including negative reinforcement, social cognitive processes, and allostatic load in overlapping neural circuitry. Finally, candidate transdiagnostic factors are identified, and we conclude with a discussion of clinical implications and future research directions.

Expanding the reach of alcohol and other drug services: Prevalence and correlates of US adult engagement with online technology to address substance problems

Online technologies are well integrated into the day-to-day lives of individuals with alcohol and other drug (i.e., substance use) problems. Interventions that leverage online technologies have been shown to enhance outcomes for these individuals. To date, however, little is known about how those with substance use problems naturally engage with such platforms. In addition, the scientific literatures on health behavior change facilitated by technology and harms driven by technology engagement have developed largely independent of one another. In this secondary analysis of the National Recovery Study (NRS), which provides a geo-demographically representative sample of US adults who resolved a substance use problem, we examined a) the weighted prevalence estimate of individuals who engaged with online technologies to "cut down on substance use, abstain from substances, or strengthen one's recovery" (i.e., recovery-related use of online technology, or ROOT), b) clinical/recovery correlates of ROOT, controlling for demographic covariates, and c) the unique association between ROOT and self-reported history of internet addiction. Results showed one in ten (11%) NRS participants reported ROOT. Significant correlates included greater current psychological distress, younger age of first substance use, as well as history of anti-craving/anti-relapse medication, recovery support services, and drug court participation. Odds of lifetime internet addiction were 4 times greater for those with ROOT (vs. no ROOT). These data build on studies of technology-based interventions, highlighting the reach of ROOT, and therefore, the potential for a large, positive impact on substance-related harms in the US.

State-of-the-art behavioral and pharmacological treatments for alcohol use disorder

BACKGROUND

Alcohol use disorder (AUD) and its associated consequences remain significant public health concerns. Given that AUD represents a spectrum of severity, treatment options represent a continuum of care, ranging from single-session brief interventions to more intensive, prolonged, and specialized treatment modalities.

OBJECTIVE

This qualitative literature review seeks to describe the best practices for AUD by placing a particular emphasis on identifying those practices which have received the most empirical support.

METHOD

This review summarizes psychological and pharmacological intervention options for AUD treatment, with a focus on the relapse prevention phase of recovery. Psychological and pharmacological treatments are summarized in terms of the empirical evidence favoring each approach and the level of AUD severity for which they are most indicated.

SCIENTIFIC SIGNIFICANCE

One of the broad assertions from this review is that while AUD is highly prevalent, seeking treatment for AUD is not. There are a myriad of behavioral and pharmacological treatments that have shown compelling evidence of efficacy for the treatment of AUD. In the behavioral treatment literature, cognitive behavioral therapy has received the most consistent support. Opioid antagonism (via naltrexone) has been the most widely studied pharmacotherapy and has produced moderate effect sizes. While none of the treatments reviewed herein represents a so-called silver bullet for AUD, they each have the potential to significantly improve the odds of recovery. Precision medicine, or the identification of best treatment matches for individual patients, looms as an important overarching goal for the field, although specific matches are not yet sufficiently reliable in their empirical evidence to warrant clinical dissemination.

0Phobia - towards a virtual cure for acrophobia: study protocol for a randomized controlled trial

BACKGROUND

Virtual reality exposure therapy (VRET) has been shown to be as effective as traditional forms of in vivo exposure therapy for the treatment of specific phobias. However, as with in vivo exposure, VRET still involves relatively high costs and limited accessibility which makes it prohibitive for a large part of the population. Innovative methods using smartphone applications (apps) may improve accessibility and scalability of VRET. The aim of this study is to evaluate 0Phobia, a gamified self-guided VRET for acrophobia that is delivered through a smartphone app in combination with rudimentary cardboard virtual reality (VR) goggles.

METHODS/DESIGN

Participants (N = 180, aged 18-65 years) with acrophobia symptoms will be recruited from the Dutch general population and randomized to either 0Phobia (n = 90) or a waitlist control condition (n = 90). 0Phobia will be delivered over a period of 3 weeks and includes psychoeducation, VR exposure, cognitive techniques, monitoring of symptoms, and relapse prevention. The primary outcome measure will be the Acrophobia Questionnaire. Secondary outcome measures will include user-friendliness, symptoms of anxiety, depression, and mastery. Assessments will take place online at baseline, directly after the intervention (post test) and at follow-up (3 months).

DISCUSSION

This study capitalizes on novel technology and recent scientific advances to develop an affordable and scalable treatment modality.

TRIAL REGISTRATION

Netherlands Trial Register: NTR6442 . Registered on 29 June 2017.

The Role of Technology-Based Interventions for Substance Use Disorders in Primary Care: A Review of the Literature

The burden of alcohol and drug use disorders (substance use disorders [SUDs]) has intensified efforts to expand access to cost-effective psychosocial interventions and pharmacotherapies. This article provides an overview of technology-based interventions (eg, computer-based and Web-based interventions, text messaging, interactive voice recognition, smartphone apps, and emerging technologies) that are extending the reach of effective addiction treatments both in substance use treatment and primary care settings. It discusses the efficacy of existing technology-based interventions for SUDs, prospects for emerging technologies, and special considerations when integrating technologies in primary care (eg, privacy and regulatory protocols) to enhance the management of SUDs.

Acceptability of an Opioid Relapse Prevention Text-message Intervention for Emergency Department Patients

OBJECTIVE

To explore whether a text message-based relapse prevention intervention (Preventing and Interrupting Early Relapse [PIER]1) is acceptable to treatment-seeking adults with opioid use disorder (OUD) after Emergency Department (ED) discharge using mixed-methods design.

METHODS

Adults seeking care in an urban ED for OUD (n = 20; mean age 22; 55% female; 75% white race) completed a baseline survey, and were invited to enroll in PIER1, which was delivered in 7-day blocks, with the option to re-enroll at the end of each block, up to 4 blocks. PIER1 included a morning "push" message focused on positive thinking, adaptive coping feedback tailored to twice-daily assessments of craving severity and contextual correlates of craving, and end-of-day feedback on daily opioid use and goal commitment. Participants were asked to complete a follow-up phone interview after the first 7 days of PIER1. Transcripts were thematically coded.

RESULTS

Seventeen out of 20 participants enrolled in PIER1. In the first 7 days, response rates to text-message assessments averaged 30%. Ten out of 17 participants re-enrolled after 7 days. Main themes from follow-up interviews (n = 9) included ease of use, social connection, and self-empowerment. Participants desired more personalized support and the ability to communicate through text messaging with another person about their struggles. Event-level data suggest that higher craving severity increased risk of opioid lapses.

CONCLUSIONS

In this mixed-methods intervention development study, we found conflicting evidence supporting an automated text-message intervention providing relapse prevention support for treatment-seeking individuals with OUD discharged from the ED. Qualitative feedback suggests that PIER1 could be useful and acceptability enhanced through personalized human support.

Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum

Background

Online discussion forums allow those in addiction recovery to seek help through text-based messages, including when facing triggers to drink or use drugs. Trained staff (or “moderators”) may participate within these forums to offer guidance and support when participants are struggling but must expend considerable effort to continually review new content. Demands on moderators limit the scalability of evidence-based digital health interventions.

Objective

Automated identification of recovery problems could allow moderators to engage in more timely and efficient ways with participants who are struggling. This paper aimed to investigate whether computational linguistics and supervised machine learning can be applied to successfully flag, in real time, those discussion forum messages that moderators find most concerning.

Methods

Training data came from a trial of a mobile phone-based health intervention for individuals in recovery from alcohol use disorder, with human coders labeling discussion forum messages according to whether or not authors mentioned problems in their recovery process. Linguistic features of these messages were extracted via several computational techniques: (1) a Bag-of-Words approach, (2) the dictionary-based Linguistic Inquiry and Word Count program, and (3) a hybrid approach combining the most important features from both Bag-of-Words and Linguistic Inquiry and Word Count. These features were applied within binary classifiers leveraging several methods of supervised machine learning: support vector machines, decision trees, and boosted decision trees. Classifiers were evaluated in data from a later deployment of the recovery support intervention.

Results

To distinguish recovery problem disclosures, the Bag-of-Words approach relied on domain-specific language, including words explicitly linked to substance use and mental health (“drink,” “relapse,” “depression,” and so on), whereas the Linguistic Inquiry and Word Count approach relied on language characteristics such as tone, affect, insight, and presence of quantifiers and time references, as well as pronouns. A boosted decision tree classifier, utilizing features from both Bag-of-Words and Linguistic Inquiry and Word Count performed best in identifying problems disclosed within the discussion forum, achieving 88% sensitivity and 82% specificity in a separate cohort of patients in recovery.

Conclusions

Differences in language use can distinguish messages disclosing recovery problems from other message types. Incorporating machine learning models based on language use allows real-time flagging of concerning content such that trained staff may engage more efficiently and focus their attention on time-sensitive issues.

Digital apothecaries: a vision for making health care interventions accessible worldwide

Evidence-based psychological interventions are growing in number but are not within reach of many individuals who could benefit from them. The recent revolution in digital technologies now makes it possible to reach people around the globe with digital interventions in the form of web sites, mobile applications, wearable devices, and so on. Although a plethora of digital interventions are available online few are evidence-based and individuals have little guidance to decide among the multitude of options. We propose the development of "digital apothecaries," that is, online repositories of evidence-based digital interventions. As portals to effective interventions, digital apothecaries would be useful to individuals who could access evidence-based interventions directly, to health care providers, who could identify specific digital tools to suggest to or use with their patients, and to researchers, who could study a range of tools with large samples, enabling comparative tests and evaluation of moderators of effects. We present a taxonomy of types of in-person and digital interventions ranging from traditional therapy without the use of digital tools to totally automated self-help interventions. This taxonomy highlights the potential of blending digital tools into health care systems to expand their reach. Digital apothecaries would provide access to evidence-based digital interventions (both free and paid versions), provide data on effectiveness (including effectiveness for diverse populations), and encourage the development and testing of more such tools. Other issues discussed include: criteria for inclusion of interventions into digital apothecaries; how digital tools could enhance health care for diverse populations; and cautionary notes regarding potential negative unintended consequences of the adoption of digital interventions into the health care system. In particular, we warn about the potential misuse of evidence-based digital interventions to justify reducing access to live providers. Digital apothecaries bring with them the promise of reducing health disparities by reaching large numbers of individuals across the world who need health interventions but are not currently receiving them. The health care field is encouraged to mindfully develop this promise, while being alert not to cause inadvertent harm.

Key Intervention Characteristics in e-Health: Steps Towards Standardized Communication

PURPOSE

This paper reports expert opinion on e-health intervention characteristics that enable effective communication of characteristics across the diverse field of e-health interventions. The paper presents a visualization tool to support communication of the defining characteristics.

METHODS

An initial list of e-health intervention characteristics was developed through an iterative process of item generation and discussion among the 12 authors. The list was distributed to 123 experts in the field, who were emailed an invitation to assess and rank the items. Participants were asked to evaluate these characteristics in three separate ways.

RESULTS

A total of 50 responses were received for a response rate of 40.7%. Six respondents who reported having little or no expertise in e-health research were removed from the dataset. Our results suggest that 10 specific intervention characteristics were consistently supported as of central importance by the panel of 44 e-intervention experts. The weight and perceived relevance of individual items differed between experts; oftentimes, this difference is a result of the individual theoretical perspective and/or behavioral target of interest.

CONCLUSIONS

The first iteration of the visualization of salient characteristics represents an ambitious effort to develop a tool that will support communication of the defining characteristics for e-health interventions aimed to assist e-health developers and researchers to communicate the key characteristics of their interventions in a standardized manner that facilitates dialog.

Web-Based Self-Help for Problematic Alcohol Use: a Large Naturalistic Study

Purpose

This observational study examined user characteristics, intervention use patterns, and variables associated with reductions in alcohol consumption for anonymous Internet help-seekers using a Web-based self-help program.

Method

A Web-based cognitive behavioral therapy (CBT) program with eight modules delivered over 10 weeks was offered to participants with at least hazardous use of alcohol according to the Alcohol Use Disorders Identification Test (AUDIT) (n = 4165). At baseline and 10-week follow-up, participants completed the Timeline-followback (TLFB), AUDIT, Drug Use Disorders Identification Test (DUDIT), Hospital Anxiety and Depression Scale (HADS), EuroQol-5 dimension (EQ-5D), World Health Organization Quality of Life Scale-abbreviated version (WHOQOL-BREF), Readiness to Change Questionnaire (RCQ), and Readiness Ruler. Follow-up completers and non-completers were compared at baseline, and follow-up completer outcomes were reported. Predictors of change in drinking behavior were evaluated at follow-up.

Results

Registered users were 41.88 years old on average (SD = 12.36), and 52 % were women; the mean baseline number of drinks during the past week was 27.27 (SD = 17.92) with 62 % in the AUDIT category of probable dependence and only 7 % having low-risk consumption according to public health guidelines. At follow-up (n = 1043), 53 % showed a clinically significant change to a lower level of alcohol use (χ² = 254.403, p < 0.001); the mean alcohol consumption fell (t = 22.841, p < 0.001) and the proportion with low-risk consumption rose to 40 %. Being male, scoring higher on baseline readiness, completing the program, and accessing other support predicted low-risk drinking and clinically significant change to a lower level of alcohol use at follow-up.

Conclusion

A publicly available Web-based program for managing problematic alcohol use attracted users with considerable alcohol- and health-related problems, which were changed to lower severity for follow-up completers.

Technology-Based Interventions for Substance Use and Comorbid Disorders: An Examination of the Emerging Literature

Among individuals with substance use disorders (SUDs), comorbidity with other psychiatric disorders is common and often noted as the rule rather than the exception. Standard care that provides integrated treatment for comorbid diagnoses simultaneously has been shown to be effective. Technology-based interventions (TBIs) have the potential to provide a cost-effective platform for, and greater accessibility to, integrated treatments. For the purposes of this review, we defined TBIs as interventions in which the primary targeted aim was delivered by automated computer, Internet, or mobile system with minimal to no live therapist involvement. A search of the literature identified nine distinct TBIs for SUDs and comorbid disorders. An examination of this limited research showed promise, particularly for TBIs that address problematic alcohol use, depression, or anxiety. Additional randomized, controlled trials of TBIs for comorbid SUDs and for anxiety and depression are needed, as is future research developing TBIs that address SUDs and comorbid eating disorders and psychotic disorders. Ways of leveraging the full capabilities of what technology can offer should also be further explored.

An interpretable health behavioral intervention policy for mobile device users

An increasing number of people use mobile devices to monitor their behavior, such as exercise, and record their health status, such as psychological stress. However, these devices rarely provide ongoing support to help users understand how their behavior contributes to changes in their health status. To address this challenge, we aim to develop an interpretable policy for physical activity recommendations that reduce a user's perceived psychological stress, over a given time horizon. We formulate this problem as a sequential decision-making problem and solve it using a new method that we refer to as threshold Q-learning (TQL). The advantage of the TQL method over traditional Q-learning is that it is "doubly robust" and interpretable. This interpretability is achieved by making model assumptions and incorporating threshold selection into the learning process. Our simulation results indicate that the TQL method performs better than the Q-learning method given model misspecification. Our analyses are performed on data collected from 79 healthy adults over a 7 week period, where the data comprise physical activity patterns collected from mobile devices and self-assessed stress levels of the users. This work serves as a first step toward a computational health coaching solution for mobile device users.

Text message reminders for improving patient appointment adherence in an office-based buprenorphine program: A feasibility study

BACKGROUND AND OBJECTIVES

Missed visits are common in office-based buprenorphine treatment (OBOT). The feasibility of text message (TM) appointment reminders among OBOT patients is unknown.

METHODS

This 6-month prospective cohort study provided TM reminders to OBOT program patients (N = 93). A feasibility survey was completed following delivery of TM reminders and at 6 months.

RESULTS

Respondents reported that the reminders should be provided to all OBOT patients (100%) and helped them to adhere to their scheduled appointment (97%). At 6 months, there were no reports of intrusion to their privacy or disruption of daily activities due to the TM reminders. Most participants reported that the TM reminders were helpful in adhering to scheduled appointments (95%), that the reminders should be offered to all clinic patients (95%), and favored receiving only TM reminders rather than telephone reminders (95%). Barriers to adhering to scheduled appointment times included transportation difficulties (34%), not being able to take time off from school or work (31%), long clinic wait-times (9%), being hospitalized or sick (8%), feeling sad or depressed (6%), and child care (6%).

CONCLUSIONS

This study demonstrated the acceptability and feasibility of TM appointment reminders in OBOT. Older age and longer duration in buprenorphine treatment did not diminish interest in receiving the TM intervention. Although OBOT patients expressed concern regarding the privacy of TM content sent from their providers, privacy issues were uncommon among this cohort. Scientific Significance Findings from this study highlighted patient barriers to adherence to scheduled appointments. These barriers included transportation difficulties (34%), not being able to take time off from school or work (31%), long clinic lines (9%), and other factors that may confound the effect of future TM appointment reminder interventions. Further research is also required to assess 1) the level of system changes required to integrate TM appointment reminder tools with already existing electronic medical records and appointment records software; 2) acceptability among clinicians and administrators; and 3) financial and resource constraints to healthcare systems. (Am J Addict 2017;26:581-586).

A Systematic Review of the mHealth Interventions to Prevent Alcohol and Substance Abuse

Substance abuse in young adults is a public health issue with costs to the individual and society. There is mounting evidence that the increased uses of mHealth approaches have promise as a way to facilitate reductions in substance use. This systematic review evaluated the recent body of research on mHealth-based interventions for substance use, with aims of (a) examining the functionality and effectiveness of these interventions, (b) evaluating the available research on the effectiveness of these interventions for substance use, and (c) evaluating the design, methodology, results, theoretical grounding, limitations, and implications of each study. We identified eligible studies by searching electronic databases using Boolean methods. The reviewed studies (N = 12) indicated that that a wide range of Internet-based, text messaging, and smartphone application interventions have been developed to address substance use. Interventions had an assortment of features; participants in each study highlighted the ease and convenience of the interventions; and the majority of studies provided support for the efficacy of mHealth in reducing substance use. Mobile technology is a promising tool for reducing substance use and warrants further development. Future practice including the use of mHealth interventions can be an integral part of reducing substance use.

Technology-based interventions and trainings to reduce the escalation and impact of alcohol problems

There has been a rapid increase in the development of technological innovations to reduce the escalation and impact of alcohol problems among adolescents and adults. Technology-based interventions offer the possibility of reaching individuals who otherwise might not seek treatment, (e.g., those in remote areas, those not perceiving a need for treatment, or others who may resist treatment). This article describes four case examples of technology-based interventions for risky drinking: 1) a freely available and interactive website that provides individualized feedback and information on risky drinking patterns; 2) a brief intervention for adolescents that provides individualized feedback to teens regarding their alcohol use; 3) a computer-delivered screening and brief intervention for alcohol use among pregnant women, and 4) a simulation program for training social workers in screening and brief intervention. These case examples highlight how technology may have a role in addressing the Alcohol Misuse Grand Challenge.

Mobile technology-based interventions for adult users of alcohol: A systematic review of the literature

BACKGROUND

Worldwide, 16% of people aged 15 and older engage in harmful use of alcohol. Harmful alcohol use leads to a host of preventable negative social and health consequences. Mobile technology-based interventions provide a particularly promising avenue for the widespread and cost-effective delivery of treatment that is accessible, affordable, individualized, and destigmatized to both alcohol-dependent and nondependent individuals.

AIMS

The present review sought to summarize the current literature on mobile technology-based interventions among adult users of alcohol and determine the efficacy of such interventions.

METHODS

Five databases were searched in December 2015 (Jan. 2004-Dec. 2015). Inclusion criteria were: participants aged 18 or older, interventions delivered through mobile-technology, and outcome measurement of alcohol reduction/cessation.

FINDINGS

Eight studies met inclusion criteria. The majority of the studies reviewed found positive effects of the intervention, even though the interventions themselves varied in design, length, dosage, and target population, and were pilot or preliminary in nature.

CONCLUSIONS

Findings from this review highlight the promising, yet preliminary state of research in this area. Studies with adequate power and valid design are necessary to evaluate the potential of mobile technology-based interventions on long-term alcohol behavior outcomes. Furthermore, future research should elucidate what the most effective length of time is for a mobile technology-based intervention, how often individuals should receive messages for maximum benefit, and determine the comparative effectiveness of mobile technology interventions with other efficacious interventions.

Recent Internet Use and Associations with Clinical Outcomes among Patients Entering Addiction Treatment Involved in a Web-Delivered Psychosocial Intervention Study

The acceptability and clinical impact of a web-based intervention among patients entering addiction treatment who lack recent internet access are unclear. This secondary analysis of a national multisite treatment study (NIDA Clinical Trials Network-0044) assessed for acceptability and clinical impact of a web-based psychosocial intervention among participants enrolling in community-based, outpatient addiction treatment programs. Participants were randomly assigned to 12 weeks of a web-based therapeutic education system (TES) based on the community reinforcement approach plus contingency management versus treatment as usual (TAU). Demographic and clinical characteristics, and treatment outcomes were compared among participants with recent internet access in the 90 days preceding enrollment (N = 374) and without internet access (N = 133). Primary outcome variables included (1) acceptability of TES (i.e., module completion; acceptability of web-based intervention) and (2) clinical impact (i.e., self-reported abstinence confirmed by urine drug/breath alcohol tests; retention measured as time to dropout). Internet use was common (74 %) and was more likely among younger (18-49 years old) participants and those who completed high school (p < .001). Participants randomized to TES (n = 255) without baseline internet access rated the acceptability of TES modules significantly higher than those with internet access (t = 2.49, df = 218, p = .01). There was a near significant interaction between treatment, baseline abstinence, and internet access on time to dropout (χ ²(1) = 3.8089, p = .051). TES was associated with better retention among participants not abstinent at baseline who had internet access (X ²(1) = 6.69, p = .01). These findings demonstrate high acceptability of this web-based intervention among participants that lacked recent internet access.

Development of an open-source web-based intervention for Brazilian smokers - Viva sem Tabaco

BACKGROUND

Web-based interventions for smoking cessation available in Portuguese do not adhere to evidence-based treatment guidelines. Besides, all existing web-based interventions are built on proprietary platforms that developing countries often cannot afford. We aimed to describe the development of "Viva sem Tabaco", an open-source web-based intervention.

RESULTS

The development of the intervention included the selection of content from evidence-based guidelines for smoking cessation, the design of the first layout, conduction of 2 focus groups to identify potential features, refinement of the layout based on focus groups and correction of content based on feedback provided by specialists on smoking cessation. At the end, we released the source-code and intervention on the Internet and translated it into Spanish and English.

CONCLUSIONS

The intervention developed fills gaps in the information available in Portuguese and the lack of open-source interventions for smoking cessation. The open-source licensing format and its translation system may help researchers from different countries deploying evidence-based interventions for smoking cessation.

Implementation of a Substance Use Recovery Support Mobile Phone App in Community Settings: Qualitative Study of Clinician and Staff Perspectives of Facilitators and Barriers

BACKGROUND

Research supports the effectiveness of technology-based treatment approaches for substance use disorders. These approaches have the potential to broaden the reach of evidence-based care. Yet, there is limited understanding of factors associated with implementation of technology-based care approaches in different service settings.

OBJECTIVES

In this study, we explored provider and staff perceptions of facilitators and barriers to implementation of a mobile phone substance use recovery support app with clients in 4 service settings.

METHODS

Interviews were conducted with leadership and provider stakeholders (N=12) from 4 agencies in the first year of an implementation trial of the mobile phone app. We used the Consolidated Framework for Implementation Research as the conceptual foundation for identifying facilitators and barriers to implementation.

RESULTS

Implementation process facilitators included careful planning of all aspects of implementation before launch, engaging a dedicated team to implement and foster motivation, working collaboratively with the app development team to address technical barriers and adapt the app to meet client and agency needs, and consistently reviewing app usage data to inform progress. Implementation support strategies included training all staff to promote organization awareness about the recovery support app and emphasize its priority as a clinical care tool, encouraging clients to try the technology before committing to use, scaling rollout to clients, setting clear expectations with clients about use of the app, and using peer coaches and consistent client-centered messaging to promote engagement. Perceived compatibility of the mobile phone app with agency and client needs and readiness to implement emerged as salient agency-level implementation facilitators. Facilitating characteristics of the recovery support app itself included evidence of its impact for recovery support, perceived relative advantage of the app over usual care, the ability to adapt the app to improve client use, and its ease of use. The mobile phone itself was a strong motivation for clients to opt in to use the app in settings that provided phones. App access was limited in settings that did not provide phones owing to lack of mobile phone ownership or incompatibility of the app with clients' mobile phones. Individual differences in technology literacy and provider beliefs about substance use care either facilitated or challenged implementation. Awareness of patient needs and resources facilitated implementation, whereas external policies and regulations regarding technology use introduced barriers to implementation.

CONCLUSIONS

The conceptually grounded facilitators and barriers identified in this study can guide systematic targeting of strategies to improve implementation of mobile phone interventions in community treatment settings. Results also inform the design of technology-based therapeutic tools. This study highlights directions for research with regard to implementation of technology-based behavioral health care approaches.

Mobile phone use patterns and preferences in safety net office-based buprenorphine patients

BACKGROUND

Integrating mobile phone technologies in addiction treatment is of increasing importance and may optimize patient engagement with their care and enhance the delivery of existing treatment strategies. Few studies have evaluated mobile phone and text message (TM) use patterns in persons enrolled in addiction treatment, and none have assessed the use in safety net, office-based buprenorphine practices.

METHODS

A 28-item, quantitative and qualitative semistructured survey was administered to opiate-dependent adults in an urban, publicly funded, office-based buprenorphine program. Survey domains included demographic characteristics, mobile phone and TM use patterns, and preferences pertaining to their recovery.

RESULTS

Surveyors approached 73 of the 155 eligible subjects (47%); 71 respondents completed the survey. Nearly all participants reported mobile phone ownership (93%) and TM use (93%), and most reported "very much" or "somewhat" comfort sending TM (79%). Text message contact with 12-step group sponsors, friends, family members, and counselors was also described (32%). Nearly all preferred having their providers' mobile phone number (94%), and alerting the clinic via TM in the event of a potential relapse to receive both supportive TM and a phone call from their buprenorphine provider was also well received (62%).

CONCLUSIONS

Mobile phone and TM use patterns and preferences among this sample of office-based buprenorphine participants highlight the potential of adopting patient-centered mobile phone-based interventions in this treatment setting.

Can persons with a history of multiple addiction treatment episodes benefit from technology delivered behavior therapy? A moderating role of treatment history at baseline

A growing line of research has shown positive treatment outcomes from technology-based therapy for substance use disorders (SUDs). However, little is known about the effectiveness of technology-based SUD interventions for persons who already had numerous prior SUD treatments. We conducted a secondary analysis on a 12-month trial with patients (N=160) entering methadone maintenance treatment (MMT). Patients were randomly assigned to either standard MMT treatment or a model in which half of standard counseling sessions were replaced with a computer-based intervention, called Therapeutic Education System (standard+TES). Four treatment history factors at baseline, the number of lifetime SUD treatment episodes, detoxification episodes, and inpatient/outpatient treatment episodes were categorized into three levels based on their tertile points, and analyzed as moderators. Dependent variables were urine toxicology results for opioid and cocaine abstinence for 52-weeks. The standard+TES condition produced significantly better opioid abstinence than standard treatment for participants with 1) a moderate or high frequency of lifetime SUD treatment episodes, and 2) those with all three levels (low, moderate and high) of detoxification and inpatient/outpatient treatment episodes, ps<.01. The standard+TES condition enhanced cocaine abstinence compared to standard treatment among people with 1) a moderate or high frequency of lifetime SUD treatment episodes, 2) a high level of detoxification episodes, and 3) a moderate or high level of inpatient treatment history, ps<.01. We found that including technology-based behavioral therapy as part of treatment can be more effective than MMT alone, even among patients with a history of multiple addiction treatment episodes.

A mixed-methods evaluation of the feasibility, acceptability, and preliminary efficacy of a mobile intervention for methadone maintenance clients

Despite the recent explosion of behavioral health interventions delivered on mobile devices, little is known about factors that make such applications practical, engaging and useful to their target audience. This study reports on the feasibility, acceptability and preliminary efficacy of a prototype of a novel, interactive mobile psychosocial intervention to reduce problematic drug use among clients in methadone maintenance treatment (MMT). A mixed-methods pilot study with new MMT clients (n = 25) indicated that the mobile intervention approach was feasible, and that participants found the intervention highly acceptable and useful. On 100-point visual analog scale (VAS) items, participants reported high levels of liking the program (M = 75.6), and endorsed it as useful (M = 77.5), easy to use (M = 80.7), and containing a significant amount of new information (M = 74.8). When compared with 25 study participants who received standard MMT alone, pilot participants rated their treatment significantly higher in interestingness and usefulness, and were significantly more satisfied with their treatment. In qualitative interviews, participants reported using the mobile intervention in a range of settings, including during times of heightened risk for substance use, and finding it helpful in managing drug cravings. Additionally, pilot participants showed evidence of increased treatment retention and abstinence from illicit opioids (in terms of effect size) over a 3-month period relative to those in standard MMT, suggesting the application's potential to enhance treatment outcomes. These promising findings suggest that an evidence-based mobile therapeutic tool addressing substance use may appeal to drug treatment clients and have clinical utility as an adjunct to formal treatment.

Text message content preferences to improve buprenorphine maintenance treatment in primary care

Few studies have evaluated text message content preferences to support evidence-based treatment approaches for opioid use disorders, and none in primary care office-based buprenorphine treatment settings. This study assessed the acceptability and preferences for a tailored text message intervention in support of core office-based buprenorphine treatment medical management components (e.g., treatment adherence, encouraging abstinence, 12-step group participation, motivational interviewing, and patient-provider communication as needed). There were 97 patients enrolled in a safety net office-based buprenorphine treatment program who completed a 24-item survey instrument that consisted of multiple-choice responses, 7-point Likert-type scales, binomial "Yes/No" questions, and open-ended responses. The sample was predominately male (81%), had an average age of 46 years, and was diverse (64% ethnic/racial minorities); 56% lacked stable employment. Respondents were interested in receiving text message appointment reminders (90%), information pertaining to their buprenorphine treatment (76%), supportive content (70%), and messages to reduce the risk of relapse (88%). Participants preferred to receive relapse prevention text messages during all phases of treatment: immediately after induction into buprenorphine treatment (81%), a "few months" into treatment (57%), and after discontinuing buprenorphine treatment (72%). Respondents also expressed interest in text message content enhancing self-efficacy, social support, and frequent provider communication to facilitate unobserved "home" induction with buprenorphine. Older participants were significantly less receptive to receiving text message appointment reminders; however, they were as interested in receiving supportive, informational, and relapse prevention components compared to younger respondents. Implications for integrating a text message support system in office-based buprenorphine treatment are discussed.

Consumption and foraging behaviors for common stimulants (nicotine, caffeine)

Models are needed to understand the emerging capability to track consumers' movements. Therefore, we examined the use of legal and readily available stimulants that vary in their addictive potential (nicotine, caffeine). One hundred sixty-six participants answered the Kessler Psychological Distress Scale (K10), the Severity of Dependence Scale for nicotine and caffeine, and reported the number of times and locations stimulants were purchased and used. On average, nicotine dependent individuals made their purchases from 2 locations, while caffeine dependent individuals consumed caffeine at 2 locations, but some people exhibited a greater range and intensity of use. Stimulant foraging behavior could be described by power laws, and is exacerbated by dependency. The finding has implications for attempts to control substance use.

Using e-technologies in clinical trials

Clinical trials have been slow to incorporate e-technology (digital and electronic technology that utilizes mobile devices or the Internet) into the design and execution of studies. In the meantime, individuals and corporations are relying more on electronic platforms and most have incorporated such technology into their daily lives. This paper provides a general overview of the use of e-technologies in clinical trials research, specifically within the last decade, marked by rapid growth of mobile and Internet-based tools. Benefits of and challenges to the use of e-technologies in data collection, recruitment and retention, delivery of interventions, and dissemination are provided, as well as a description of the current status of regulatory oversight of e-technologies in clinical trials research. As an example of ways in which e-technologies can be used for intervention delivery, a summary of e-technologies for treatment of substance use disorders is presented. Using e-technologies to design and implement clinical trials has the potential to reach a wide audience, making trials more efficient while also reducing costs; however, researchers should be cautious when adopting these tools given the many challenges in using new technologies, as well as threats to participant privacy/confidentiality. Challenges of using e-technologies can be overcome with careful planning, useful partnerships, and forethought. The role of web- and smartphone-based applications is expanding, and the increasing use of those platforms by scientists and the public alike make them tools that cannot be ignored.

Motivational Interviewing to Reduce Substance Use in Adolescents with Psychiatric Comorbidity

Substance use among adolescents with one or more psychiatric disorders is a significant public health concern. In this study, 151 psychiatrically hospitalized adolescents, ages 13-17 with comorbid psychiatric and substance use disorders, were randomized to a two-session Motivational Interviewing intervention to reduce substance use plus treatment as usual (MI) vs. treatment as usual only (TAU). Results indicated that the MI group had a longer latency to first use of any substance following hospital discharge relative to TAU (36 days versus 11 days). Adolescents who received MI also reported less total use of substances and less use of marijuana during the first 6 months post-discharge, although this effect was not significant across 12 months. Finally, MI was associated with a significant reduction in rule-breaking behaviors at 6-month follow-up. Future directions are discussed, including means of extending effects beyond 6 months and dissemination of the intervention to community-based settings.

The effectiveness of telephone counselling in the treatment of illicit drug and alcohol use concerns

INTRODUCTION

Technology-assisted substance use interventions such as 'high-tech' internet-based treatments are thought to be effective; however, the relatively 'low-tech' use of telephone counselling does not yet have an established evidence base. This paper reviews the literature including articles with information on the use of telephone counselling for the treatment of illicit drug or alcohol use.

METHODS

A systematic literature search using a set of telephone counselling and substance-related terms was conducted across four electronic databases. English studies prior to June 2014 that involved the use of telephone counselling with the treatment of illicit drug or alcohol use as a primary or secondary outcome were included. Review papers, opinion pieces, letters or editorials, case studies, published abstracts, and posters were excluded. In all, 94 publications were included in the review.

RESULTS AND DISCUSSION

The literature was supportive of telephone counselling for the treatment of alcohol use in the short term; however, literature regarding illicit drug use was particularly scarce. The generalisability of findings was limited by evident methodological issues in the included studies.

Mechanisms of change associated with technology-based interventions for substance use

BACKGROUND

Technology-based interventions (TBIs) for substance use disorders have been increasing steadily. The mechanisms by which TBIs produce change in substance use outcomes have not been reviewed. This article is the first review of the conceptual and empirical underpinnings of the mechanisms associated with TBIs for substance use disorders.

METHODS

We review the literature on potential mechanisms associated with TBIs targeting tobacco, alcohol, and poly-substance use. We did not identify TBIs targeting other drug classes and that assessed mechanisms.

RESULTS

Research suggests that TBIs impact outcomes via similar potential mechanisms as in non-TBIs (e.g., in-person treatment), with the exception of substance use outcomes being associated with changes in the quality of coping skills. The most frequent potential mechanisms detected were self-efficacy for tobacco abstinence and perceived peer drinking for alcohol abstinence.

CONCLUSIONS

Research on mechanisms associated with TBIs is still in a nascent stage. We provide several recommendations for future work, including broadening the range of mechanisms assessed and increasing the frequency of assessment to detect temporal relations between mechanisms and outcomes. We also discuss unique challenges and opportunities afforded by technology that can advance theory, method, and clinical practice.

Integration of Technology-based Behavioral Health Interventions in Substance Abuse and Addiction Services

The past decade has witnessed revolutionary changes to the delivery of health services, ushered in to a great extent by the introduction of electronic health record systems. More recently, a new class of technological advancements-technology-based behavioral health interventions, which involve the delivery of evidence-informed practices via computers, web-based applications, mobile phones, wearable sensors, or other technological platforms-has emerged and is primed to once again radically shift current models for behavioral healthcare. Despite the promise and potential of these new therapeutic approaches, a greater understanding of the impact of technology-based interventions on cornerstone issues of mental health and addiction services-namely access, quality, and cost-is needed. The current review highlights 1) relevant conceptual frameworks that guide this area of research, 2) key studies that inform the relevance of technology-based interventions for behavioral healthcare access, quality, and cost, 3) pressing methodological issues that require attention, 4) unresolved questions that warrant further investigation, and 5) practical implications that underscore important new directions for this emerging area of research.