Internet-delivered treatment for substance abuse: a multisite randomized controlled trial

Five-year budget impact of a prescription digital therapeutic for patients with opioid use disorder

BACKGROUND

Opioid use disorder (OUD) is associated with high healthcare resource utilization (HCRU) and costs. reSET-O is an FDA-cleared prescription digital therapeutic that delivers neurobehavioral therapy as an adjunct to treatment-as-usual (TAU; buprenorphine, face-to-face counseling, and contingency management).

METHODS

A budget impact model was developed to evaluate reSET-O as an adjunct to TAU in OUD for a 1 million-member US mixed health plan over a 5-year time horizon. Model inputs included treatment costs and medical costs of hospitalizations, partial hospitalizations, intensive care unit stays, and emergency department visits.

RESULTS

The base-case results and the alternative scenario analysis showed the addition of reSET-O was projected to result in consistently lower total yearly costs vs TAU and no treatment. The estimated total and per member per month (PMPM) budget impact over 5 years was -$763,026 and -$0.0116, respectively. When the upper range of cost estimates was used, the total and PMPM budget impacts over 5 years were -$2,481,563 and -$0.0378, respectively. Sensitivity analysis showed results were most sensitive to the proportion of patients untreated.

CONCLUSION

The introduction of reSET-O in addition to TAU for OUD has the potential to reduce healthcare resource utilization and costs from 12 weeks up to 5 years.

Digital Mental Health for Young People: A Scoping Review of Ethical Promises and Challenges

Mental health disorders are complex disorders of the nervous system characterized by a behavioral or mental pattern that causes significant distress or impairment of personal functioning. Mental illness is of particular concern for younger people. The WHO estimates that around 20% of the world's children and adolescents have a mental health condition, a rate that is almost double compared to the general population. One approach toward mitigating the medical and socio-economic effects of mental health disorders is leveraging the power of digital health technology to deploy assistive, preventative, and therapeutic solutions for people in need. We define “digital mental health” as any application of digital health technology for mental health assessment, support, prevention, and treatment. However, there is only limited evidence that digital mental health tools can be successfully implemented in clinical settings. Authors have pointed to a lack of technical and medical standards for digital mental health apps, personalized neurotechnology, and assistive cognitive technology as a possible cause of suboptimal adoption and implementation in the clinical setting. Further, ethical concerns have been raised related to insufficient effectiveness, lack of adequate clinical validation, and user-centered design as well as data privacy vulnerabilities of current digital mental health products. The aim of this paper is to report on a scoping review we conducted to capture and synthesize the growing literature on the promises and ethical challenges of digital mental health for young people aged 0–25. This review seeks to survey the scope and focus of the relevant literature, identify major benefits and opportunities of ethical significance (e.g., reducing suffering and improving well-being), and provide a comprehensive mapping of the emerging ethical challenges. Our findings provide a comprehensive synthesis of the current literature and offer a detailed informative basis for any stakeholder involved in the development, deployment, and management of ethically-aligned digital mental health solutions for young people.

A Personalized, Interactive, Cognitive Behavioral Therapy-Based Digital Therapeutic (MODIA) for Adjunctive Treatment of Opioid Use Disorder: Development Study

BACKGROUND

Opioid use disorder (OUD) is characterized by the inability to control opioid use despite attempts to stop use and negative consequences to oneself and others. The burden of opioid misuse and OUD is a national crisis in the United States with substantial public health, social, and economic implications. Although medication-assisted treatment (MAT) has demonstrated efficacy in the management of OUD, access to effective counseling and psychosocial support is a limiting factor and a significant problem for many patients and physicians. Digital therapeutics are an innovative class of interventions that help prevent, manage, or treat diseases by delivering therapy using software programs. These applications can circumvent barriers to uptake, improve treatment adherence, and enable broad delivery of evidence-based management strategies to meet service gaps. However, few digital therapeutics specifically targeting OUD are available, and additional options are needed.

OBJECTIVE

To this end, we describe the development of the novel digital therapeutic MODIA.

METHODS

MODIA was developed by an international, multidisciplinary team that aims to provide effective, accessible, and sustainable management for patients with OUD. Although MODIA is aligned with principles of cognitive behavioral therapy, it was not designed to present any 1 specific treatment and uses a broad range of evidence-based behavior change techniques drawn from cognitive behavioral therapy, mindfulness, acceptance and commitment therapy, and motivational interviewing.

RESULTS

MODIA uses proprietary software that dynamically tailors content to the users' responses. The MODIA program comprises 24 modules or "chats" that patients are instructed to work through independently. Patient responses dictate subsequent content, creating a "simulated dialogue" experience between the patient and program. MODIA also includes brief motivational text messages that are sent regularly to prompt patients to use the program and help them transfer therapeutic techniques into their daily routines. Thus, MODIA offers individuals with OUD a custom-tailored, interactive digital psychotherapy intervention that maximizes the personal relevance and emotional impact of the interaction.

CONCLUSIONS

As part of a clinician-supervised MAT program, MODIA will allow more patients to begin psychotherapy concurrently with opioid maintenance treatment. We expect access to MODIA will improve the OUD management experience and provide sustainable positive outcomes for patients.

Randomized Controlled Trial of a Dichoptic Digital Therapeutic for Amblyopia

PURPOSE

Digital therapeutics are a new class of interventions that are software driven and are intended to treat various conditions. We developed and evaluated a dichoptic digital therapeutic for amblyopia, a neurodevelopmental disorder for which current treatments may be limited by poor adherence and residual vision deficits.

DESIGN

Randomized controlled trial.

PARTICIPANTS

One hundred five children 4 to 7 years of age with amblyopia were enrolled at 21 academic and community sites in the United States. Participants were randomized 1:1 to the treatment or comparison group, stratified by site.

METHODS

We conducted a phase 3 randomized controlled trial to evaluate the safety and efficacy of a dichoptic digital therapeutic for amblyopia. Participants in the treatment group used the therapeutic at home for 1 hour per day, 6 days per week and wore glasses full-time. Participants in the comparison group continued wearing glasses full-time alone.

MAIN OUTCOME MEASURES

The primary efficacy outcome was change in amblyopic eye visual acuity (VA) from baseline at 12 weeks, and VA was measured by masked examiners. Safety was evaluated using the frequency and severity of study-related adverse events. Primary analyses were conducted using the intention-to-treat population.

RESULTS

Between January 16, 2019, and January 15, 2020, 105 participants were enrolled; 51 were randomized to the treatment group and 54 were randomized to the comparison group. At 12 weeks, amblyopic eye VA improved by 1.8 lines (95% confidence interval [CI], 1.4-2.3 lines; n = 45) in the treatment group and by 0.8 lines (95% CI, 0.4-1.3 lines; n = 45) in the comparison group. At the planned interim analysis (adjusted α = 0.0193), the difference between groups was significant (1.0 lines; P = 0.0011; 96.14% CI, 0.33-1.63 lines) and the study was stopped early for success, according to the protocol. No serious adverse events were reported.

CONCLUSIONS

Our findings support the value of the therapeutic in clinical practice as an effective treatment. Future studies should evaluate the therapeutic compared with other methods and in additional patient populations.

Real-world use and clinical outcomes after 24 weeks of treatment with a prescription digital therapeutic for opioid use disorder

PURPOSE

To evaluate real-world prescription digital therapeutic (PDT) use and associated clinical outcomes among patients with opioid use disorder (OUD).

PATIENTS AND METHODS

A real-world observational evaluation of patients who filled either a 12- or 24-week (refill) prescription for the reSET-O® PDT. The PDT content consists of 67 interactive lessons unlocked in sequence during use as well as the chance to earn rewards for progress and/or negative urine screens. Engagement/retention data (ongoing engagement in weeks 9-12, or 21-24) were collected via the PDT and analyzed with descriptive statistics. Substance use was evaluated as a composite of patient self-reports and urine drug screens (UDS). Missing UDS data were assumed to be positive. A regression analyses of hospital encounters for 12- vs. 24-week prescriptions controlling for covariates was conducted.

RESULTS

In a cohort of 3,817 individuals with OUD who completed a 12-week PDT prescription, a cohort of 643 was prescribed a second 12-week 'refill' prescription, for a total treatment time of 24 weeks. Mean age of the 24-week cohort was 39 years, 56.7% female. At 24 weeks of total treatment: abstinence in the last 4 weeks of treatment was 86% in an analysis in which patients with no data are assumed to be positive for illicit opioids. Over 91% of patients were retained in treatment. An analysis of matched insurance claims showed that those treated for 24 weeks had a 27% decrease in unique hospital encounters compared to those who got the first 12-week prescription only.

CONCLUSIONS

These data present real-world evidence that a second prescription (24 weeks) of a PDT for OUD is associated with improved outcomes, high levels of retention, and fewer hospital encounters compared to a single prescription for a PDT.PLAIN LANGUAGE SUMMARYPrescription digital therapeutics (PDTs) are software-based treatments that are FDA-authorized to improve clinical outcomes for serious diseases and conditions. The reSET-O PDT consists of 67 interactive lessons unlocked in sequence during use as well as the chance to earn rewards for progress and/or negative urine screens. Multiple studies show that a single 12-week PDT prescription for opioid use disorder (OUD) helps patients engage in treatment, reduces substance use, and helps patients remain in treatment, but to date there has been no evaluation of how patients who receive a 'refill' second prescription engage with the therapeutic and whether the positive effects on substance use and retention are durable across a second 12 weeks (total of 24 weeks) of treatment.This real-world analysis evaluated 643 patients from 12 U.S. states who were prescribed a second PDT prescription. 93% of this cohort completed 8 or more core lesson modules in the second prescription period, 85% completed at least half of core modules, and 64% completed all 32 core modules. Patients used the PDT outside of clinic hours about 40% of the time. 94.4% of patients had 80% or greater negative reports of opioid use across the second 12 weeks of treatment. A 27% decrease in unique hospital encounters was observed in patients who completed a second prescription vs. patients who completed only one prescription.These data show that a second prescription of a PDT for OUD is associated with postive patient outcomes. Patients showed durable and high levels of engagement with the PDT, reduced substance use, and improved treatment retention through 24 weeks of treatment.

Engagement patterns with a digital therapeutic for substance use disorders: Correlations with abstinence outcomes

INTRODUCTION

Patient engagement may play a key role in the success or failure of treatments for substance use disorder (SUD). This exploratory analysis of data from a large, multisite effectiveness trial (NCT01104805) sought to determine how patient engagement with a digital therapeutic for SUD delivered at clinics was associated with abstinence outcomes.

METHODS

The study evaluated engagement for 206 participants enrolled in a treatment program for SUDs related to cocaine, alcohol, cannabis, or other stimulants who were randomized to receive treatment as usual (TAU) or reduced TAU plus the digital Therapeutic Education System (TES) for 12 weeks. Participants were eligible for contingency management incentives for module completion (modules cover Community Reinforcement Approach topic areas) and negative urine drug screens. Analyses examined the association of module completion with end-of-treatment abstinence.

RESULTS

Participants completed a mean of 38.8 (range 0-72) TES modules over 12 weeks of treatment. Study completers (n = 157) completed a mean of 45.5 (range 9-72) TES modules, whereas study noncompleters (n = 49) completed a mean of 17.4 (range 0-45) TES modules. The study observed a strong positive correlation between TES engagement (i.e., total number of modules completed) and the probability of abstinence during weeks 9-12 of treatment among 157 study completers (OR = 1.11; 95% CI 1.08-1.14). Each module completed increased the odds of abstinence during weeks 9-12 by approximately 11% for study completers and 9% for the full sample. The study observed a similar, but weaker, association between engagement and abstinence among 49 patients who did not complete the study (OR = 1.02; 95% CI 0.98-1.07).

CONCLUSIONS

Greater engagement with a digital therapeutic for patients with SUD (i.e., number of modules completed over time) was strongly associated with the probability of abstinence in the last four weeks of treatment among those who completed the recommended 12-week treatment.

TRIALS REGISTRATION

ClinicalTrials.gov Identifier: NCT01104805.

Approaches for Implementing App-Based Digital Treatments for Drug Use Disorders Into Primary Care: A Qualitative, User-Centered Design Study of Patient Perspectives

Background

Digital interventions, such as websites and smartphone apps, can be effective in treating drug use disorders (DUDs). However, their implementation in primary care is hindered, in part, by a lack of knowledge on how patients might like these treatments delivered to them.

Objective

This study aims to increase the understanding of how patients with DUDs prefer to receive app-based treatments to inform the implementation of these treatments in primary care.

Methods

The methods of user-centered design were combined with qualitative research methods to inform the design of workflows for offering app-based treatments in primary care. Adult patients (n=14) with past-year cannabis, stimulant, or opioid use disorder from 5 primary care clinics of Kaiser Permanente Washington in the Seattle area participated in this study. Semistructured interviews were recorded, transcribed, and analyzed using qualitative template analysis. The coding scheme included deductive codes based on interview topics, which primarily focused on workflow design. Inductive codes emerged from the data.

Results

Participants wanted to learn about apps during visits where drug use was discussed and felt that app-related conversations should be incorporated into the existing care whenever possible, as opposed to creating new health care visits to facilitate the use of the app. Nearly all participants preferred receiving clinician support for using apps over using them without support. They desired a trusting, supportive relationship with a clinician who could guide them as they used the app. Participants wanted follow-up support via phone calls or secure messaging because these modes of communication were perceived as a convenient and low burden (eg, no copays or appointment travel).

Conclusions

A user-centered implementation of treatment apps for DUDs in primary care will require health systems to design workflows that account for patients’ needs for structure, support in and outside of visits, and desire for convenience.

Digital delivery of a contingency management intervention for substance use disorder: A feasibility study with DynamiCare Health

Digital health tools can provide convenient delivery of evidence-based treatments. The DynamiCare Health smartphone app delivers a contingency management intervention for substance use disorder consisting of remote self-testing for alcohol (breath) and drugs (saliva) with remote test validation and delivery of financial incentives for negative test results. This study examined feasibility, engagement (duration and consistency of app utilization), and impact on usual care treatment participation when a community substance use treatment program implemented this digital therapy among its patients. The study randomly assigned patients with alcohol use disorder (N = 61) to receive either DynamiCare along with treatment-as-usual (TAU; N = 29) or TAU only (N = 32) during a 90-day evaluation period. Mean duration between first and last app use was 64 (±35) days, with mean earnings of $248 (±$209, out of $600 maximum). Among those with any app use (n = 25), compliance was 68% and 74%, respectively for requested breath and saliva samples. Overall, two thirds of patients (66%) assigned to the app used it for at least 57 days and with high rates of self-testing compliance. Those completing the assessment (n = 13; 45% of sample) endorsed high satisfaction ratings. DynamiCare versus TAU participants were more likely to be retained in usual care treatment at 90 days (24% vs 3%; (χ2 (1, 61) = 5.9, p < 0.05), but sustained app utilization was associated with a wide range of usual care treatment participation. These data suggest that DynamiCare Health is feasible and potentially beneficial as a complement to community substance use treatment programs.

The NIDA clinical trials network: evolving, expanding, and addressing the opioid epidemic

Over the past two decades, the National Drug Abuse Treatment Clinical Trials Network (CTN), a program of the National Institute on Drug Abuse (NIDA), has expanded from the initial six Nodes to 16 Nodes, as a nationwide consortium of research scientists and treatment providers working together to improve care for substance use in the nation’s communities. Encompassing both specialty care programs and general medical settings, the Network has become a unique resource for expertise on clinically focused research, bridging the gap between research and treatment delivery. Over 22 years, the CTN has completed 101 studies, resulting in 650 publications. In response to the opioid epidemic, a CTN task force generated a comprehensive list of research priorities in the areas of prevention, treatment, knowledge dissemination, and workforce training, to form the basis of the Network’s opioid portfolio. The Network’s opioid portfolio currently includes five main categories of studies: (1) large multi-site studies; (2) studies aimed at closing the treatment gap; (3) expansion of ongoing studies to improve service delivery and implementation; (4) studies to explore the use of substance use data in electronic health record systems; (5) training and dissemination projects to expand the research/health care provider workforce. With funding from the Helping to End Addiction Long-Term Initiative^SM (HEAL), the CTN established five new Nodes, which, along with the pre-existing Nodes, are distributed in every region of the nation and engage researchers and clinicians in areas that have been among the hardest hit by the opioid epidemic. Through this expanded network and its commitment to developing personalized, evidence-based treatments, the CTN is poised to address and provide solutions for the ongoing epidemic of opioid use and addiction.

Digital therapeutics for essential hypertension using a smartphone application: A randomized, open-label, multicenter pilot study

Hypertension is the most considerable but treatable risk factor for cardiovascular disease. Although physicians prescribe multiple antihypertensive drugs and promote lifestyle modifications, the real-world blood pressure (BP) control rate remains poor. To improve BP target achievement, we developed a novel digital therapeutic-the HERB software system -to manage hypertension. Here, we performed a randomized pilot study to assess the safety and efficacy of the HERB system for hypertension. We recruited 146 patients with essential hypertension from March 2018 to March 2019. We allocated eligible patients to the intervention group (HERB system + standard lifestyle modification) or control group (standard lifestyle modification alone). The primary outcome was the mean change from baseline to 24 weeks in 24-hour systolic BP (SBP) measured by ambulatory blood pressure monitoring (ABPM). The baseline characteristics in each group were well balanced; the mean age was approx. 57 years, and 67% were male. In the primary end point at 24 weeks, HERB intervention did not lower the mean change of 24-hour SBP by ABPM compared with the controls (adjusted difference: -0.66 mmHg; p = .78). In an exploratory analysis focusing on antihypertensive drug-naïve patients aged <65, the effects of the HERB intervention were significantly greater than the control for reducing 24-hour SBP by ABPM at 16 weeks (adjusted difference: -7.6 mmHg; p = .013; and morning home SBP at 24 weeks (adjusted difference - 6.0 mmHg; p = .012). Thus, the HERB intervention did not achieve a primary efficacy end point. However, we observed that antihypertensive drug-naïve adult hypertensive patients aged <65 years could be a potential HERB system-effective target for further investigations of the efficacy of the system.

Internet-based therapy versus face-to-face therapy for alcohol use disorder, a randomized controlled non-inferiority trial

BACKGROUND AND AIMS

Most people with alcohol use disorder (AUD) are never treated. Internet-based interventions are effective in reducing alcohol consumption and could help to overcome some of the barriers to people not seeking or receiving treatment. The aim of the current study was to compare internet-delivered and face-to-face treatment among adult users with AUD.

DESIGN

Randomized controlled non-inferiority trial with a parallel design, comparing internet-delivered cognitive-behavioural therapy (ICBT) (n = 150) with face-to-face CBT (n = 151), at 3- and 6-month follow-ups.

SETTING

A specialized clinic for people with AUD in Stockholm, Sweden. Participants were recruited between 8 December 2015 and 5 January 2018.

PARTICIPANTS

A total of 301 patients [mean age 50 years, standard deviation (SD) = 12.3] with AUD, of whom 115 (38%) were female and 186 (62%) were male.

INTERVENTION AND COMPARATOR

Participants were randomized in blocks of 20 at a ratio of 1 : 1 to five modules of therapist-guided ICBT or to five modules of face-to-face CBT, delivered over a 3-month period. The same treatment material and the same therapists were used in both groups.

MEASUREMENTS

The primary outcome was standard drinks of alcohol consumed during the previous week at 6-month follow-up, analysed according to intention-to-treat. The pre-specified non-inferiority limit was five standard drinks of alcohol and d = 0.32 for secondary outcomes.

RESULTS

The difference in alcohol consumption between the internet and the face-to-face group was non-inferior in the intention-to-treat analysis of data from the 6-month follow-up [internet = 12.33 and face-to-face = 11.43, difference = 0.89, 95% confidence interval (CI) = -1.10 to 2.88]. The secondary outcome, Alcohol Use Disorder Identification Test score, failed to show non-inferiority of internet compared with face-to-face in the intention-to-treat analysis at 6-month follow-up (internet = 12.26 and face-to-face = 11.57, d = 0.11, 95% CI = -0.11 to 0.34).

CONCLUSIONS

Internet-delivered treatment was non-inferior to face-to-face treatment in reducing alcohol consumption among help-seeking patients with alcohol use disorder but failed to show non-inferiority on some secondary outcomes.

Feasibility and Preliminary Efficacy of a Community-Based Addiction Rehabilitation Electronic System in Substance Use Disorder: Pilot Randomized Controlled Trial

BACKGROUND

Drug use disorder has high potential for relapse and imposes an enormous burden on public health in China. Since the promulgation of the Anti-drug law in 2008, community-based rehabilitation has become the primary approach to treat drug addiction. However, multiple problems occurred in the implementation process, leading to a low detoxification rate in the community. Mobile health (mHealth) serves as a promising tool to improve the effectiveness and efficiency of community-based rehabilitation. Community-based addiction rehabilitation electronic system (CAREs) is an interactive system for drug users and their assigned social workers.

OBJECTIVE

The study aimed to examine the feasibility and preliminary efficacy of CAREs in community-based rehabilitation from the perspective of drug users and social workers in Shanghai, China.

METHODS

In this pilot randomized controlled trial, 40 participants were recruited from the community in Shanghai from January to May 2019. Participants randomized to the intervention group (n=20) received CAREs + community-based rehabilitation, while participants in the control group (n=20) received community-based rehabilitation only for 6 months. CAREs provided education, assessment, and SOS (support) functions for drug users. The assigned social workers provided service and monitored drug use behavior as usual except that the social workers in the intervention group could access the webpage end to obtain drug users' information and fit their routine workflow into CAREs. The primary outcome was the feasibility of CAREs, reflected in the overall proportion and frequency of CAREs features used in both app and webpage end. The secondary outcomes were the effectiveness of CAREs, including the percentage of drug-positive samples, longest period of abstinence, contact times with social workers, and the change of Addiction Severity Index (ASI) from baseline to the 6-month follow-up.

RESULTS

The number of participants logged in to the app ranged from 7 to 20 per week, and CAREs had relatively high levels of continued patient use. Drug users preferred assessment and education features in the app end while their social workers showed high levels of use in urine results record and viewing assessment results on the webpage end. After the 6-month intervention, 3.3% (17/520) of samples in the intervention group and 7.5% (39/520) in the control group were drug-positive (F=4.358, P=.04). No significant differences were noted between the control and intervention groups in terms of longest duration of abstinence, number of contact times and ASI composite scores.

CONCLUSIONS

The study preliminarily demonstrated that with relatively good feasibility and acceptability, CAREs may improve the effectiveness and efficiency of the community-based rehabilitation, which provided instruction for further improvement of the system.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03451344; https://clinicaltrials.gov/ct2/show/NCT03451344.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.3389/fpsyt.2018.00556.

Web-based cognitive behavior therapy for chronic pain patients with aberrant drug-related behavior: How did it work and for whom?

This study explored mediating pathways, moderating factors, and moderated mediation effects of a web-based, cognitive behavioral therapy (CBT) intervention for chronic pain patients with aberrant drug-related behavior (ADRB). In a 2-arm RCT, patients with chronic pain who screened positive for ADRB received treatment-as-usual (TAU, n = 55) or TAU plus a 12-week, web-based CBT intervention (n = 55). Assessments were conducted at weeks 4, 8, and 12, and at 1- and 3-months post intervention. Web-CBT significantly reduced pain catastrophizing, which, in turn, reduced pain interference and pain severity via a pathway of pain catastrophizing. Web-CBT also significantly reduced ADRB both directly and indirectly by reducing pain catastrophizing. For pain interference and pain severity, web-CBT was more effective than TAU for younger patients (≤ age 50). For pain severity, web-CBT was more effective for both younger patients (≤ age 50), and those with a lifetime substance use disorder. Findings suggest that web-CBT's positive impact on pain outcomes and ADRB are mediated by its effect on pain catastrophizing, and its treatment effects may be most robust for younger patients and those with histories of substance dependence.

Leveraging applied behavior analysis research and practice in the service of public health

Human behavior plays a central role in all domains of public health. Applied behavior analysis (ABA) research and practice can contribute to public health solutions that directly address human behavior. In this paper, we describe the field of public health, identify points of interaction between public health and ABA, summarize what ABA research has already contributed, and provide several recommendations for how ABA research and practice could continue to promote public health outcomes. A clearer focus on behavior and widespread adoption of research designs and interventions informed by the ABA literature could lead to better public health outcomes. Reciprocally, better integration of public health goals and strategies into ABA research, harnessing of technology, and more collaboration would help diversify and disseminate our applied science and could yield more effective and scalable interventions to prevent and treat public health problems.

Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders

In this paper, we present a method for conducting global sensitivity analysis of randomized trials in which binary outcomes are scheduled to be collected on participants at prespecified points in time after randomization and these outcomes may be missing in a nonmonotone fashion. We introduce a class of missing data assumptions, indexed by sensitivity parameters, which are anchored around the missing not at random assumption introduced by Robins (Statistics in Medicine, 1997). For each assumption in the class, we establish that the joint distribution of the outcomes is identifiable from the distribution of the observed data. Our estimation procedure uses the plug-in principle, where the distribution of the observed data is estimated using random forests. We establish n asymptotic properties for our estimation procedure. We illustrate our methodology in the context of a randomized trial designed to evaluate a new approach to reducing substance use, assessed by testing urine samples twice weekly, among patients entering outpatient addiction treatment. We evaluate the finite sample properties of our method in a realistic simulation study. Our methods have been implemented in an R package entitled slabm.

Prior National Drug Abuse Treatment Clinical Trials Network (CTN) opioid use disorder trials as background and rationale for NIDA CTN-0100 "optimizing retention, duration and discontinuation strategies for opioid use disorder pharmacotherapy (RDD)"

Opioid use disorder continues to be a significant problem in the United States and worldwide. Three medications—methadone, buprenorphine, and extended-release injectable naltrexone,— are efficacious for treating opioid use disorder (OUD). However, the utility of these medications is limited, in part due to poor rates of retention in treatment. In addition, minimum recovery milestones and other factors that influence when and whether individuals can safely discontinue medications are unknown. The National Drug Abuse Treatment Clinical Trials Network (CTN) study “Optimizing Retention, Duration, and Discontinuation Strategies for Opioid Use Disorder Pharmacotherapy” (RDD; CTN-0100) will be among the largest clinical trials on treatment of OUD yet conducted, consisting of two phases, the Retention phase, and the Duration-Discontinuation phase. The Retention phase, open to patients initiating treatment, will test different doses and formulations of buprenorphine (standard dose sublingual, high dose sublingual, or extended-release injection), and a digital therapeutic app delivering contingency management and cognitive behavioral counseling on the primary outcome of retention in treatment. The Discontinuation phase, open to patients in stable remission from OUD and choosing to discontinue medication (including participants from the Retention phase or from the population of patients treated at the clinical site, referred by an outside prescriber or self-referred) will study different tapering strategies for buprenorphine (sublingual taper vs taper with injection buprenorphine), and a digital therapeutic app which provides resources to promote recovery, on the primary outcome of relapse-free discontinuation of medication. This paper describes how the RDD trial derives from two decades of research in the CTN. Initial trials (CTN-0001; CTN-0002; CTN-0003) focused on opioid detoxification, showing buprenorphine-naloxone was effective for detoxification, but that acute detoxification did not appear to be an effective treatment strategy. Trials on comparative effectiveness of medications for opioid use disorder (MOUD) (CTN-0027; CTN-0030; and CTN-0051) highlighted the problem of dropout from treatment and few trials defined retention on MOUD as the primary outcome. Long-term follow-up studies on those patient samples demonstrated the importance of long-term continuation of medication for many patients to sustain remission. Overall, these trials highlight the potential of a stable research infrastructure such as CTN to advance treatment effectiveness through a programmatic succession of large clinical trials.

Real-world evidence for a prescription digital therapeutic to treat opioid use disorder

OBJECTIVES

To evaluate patient engagement and usage of a prescription digital therapeutic (PDT) and associated outcomes of opioid use and treatment retention in a large real-world dataset of patients with opioid use disorder (OUD) treated with buprenorphine medication for opioid use disorder (MOUD). PDTs are software-based disease treatments evaluated for safety and effectiveness in randomized clinical trials (RCTs), and authorized by the U.S. Food and Drug Administration (FDA) to treat disease with approved directions for use (label).

METHODS

A real-world observational evaluation of an all-comer population of patients who redeemed a 12-week prescription for the reSET-O PDT. Engagement and therapeutic use data were collected and analysed on a population level. Substance use was evaluated as a composite of self-reports recorded with reSET-O and urine drug screens (UDS).

RESULTS

Data from 3144 individuals with OUD were evaluated. 45.5% were between ages 30 and 39 years. 80% completed at least 8 of the 67 possible therapeutic modules, 66% completed half of all modules, and 49% completed all modules. Abstinence during the last 4 weeks of treatment was calculated with two imputation methodologies: 66% abstinent using "missing data excluded (patients with no data as positive)", and 91% abstinent with "missing data removed (patients with no data excluded)". 91% of patients met the responder definition of ≥80% of self-report or UDS negative. 74.2% of patients were retained through the last 4 weeks of treatment. Subgroup analysis of patients using reSET-O appropriately (4 or more modules per week for the first 4 weeks) showed 88.1% abstinence using "missing data excluded (patients with no data as positive)", and retention at weeks 9-12 of 85.8%.

CONCLUSIONS

Results demonstrate that reSET-O is readily and broadly used by patients with OUD and that high real-world engagement with the therapeutic is positively associated with abstinence and retention in treatment. ReSET-O is a potentially valuable adjunct to buprenorphine MOUD therapy for patients with OUD.

Safety and efficacy of a prescription digital therapeutic as an adjunct to buprenorphine for treatment of opioid use disorder

OBJECTIVES

To evaluate the safety and efficacy of a digital therapeutic in treatment-seeking individuals with opioid use disorder (OUD) in an analysis of randomized clinical trial (RCT) data (ClinicalTrials.gov identifier: NCT00929253).

METHODS

Secondary analysis of an RCT including 170 adults meeting DSM-IV criteria for OUD. Participants were randomized to 12-weeks of treatment-as-usual (TAU) or TAU plus a digital therapeutic providing 67 digital, interactive educational modules based on the Community Reinforcement Approach. TAU consisted of buprenorphine maintenance therapy, 30 min biweekly clinician interaction, and abstinence-based contingency management. Primary endpoints were treatment retention and abstinence (negative urine drug screen) during weeks 9-12 of treatment. Safety was assessed by evaluating adverse events.

RESULTS

Participants randomized to TAU plus a digital therapeutic had significantly greater odds of opioid abstinence during weeks 9-12 compared to TAU: 77.3 versus 62.1%, respectively (p=.02), OR 2.08, 95% CI 1.10-3.95. The risk of patients leaving treatment was significantly lower in the digital therapeutic group (HR 0.49, 95% CI 0.26-0.92). No significant difference was observed in the rate of adverse events between groups (p=.42).

CONCLUSIONS

A prescription digital therapeutic (PDT) in combination with buprenorphine therapy improves clinically significant patient outcomes including abstinence from illicit opioids and retention in treatment compared with treatment as usual.

Workshop on Implementation Science and Digital Therapeutics for Behavioral Health

Digital therapeutics can overcome many of the barriers to translation of evidence-based treatment for substance use, mental health, and other behavioral health conditions. Delivered via nearly ubiquitous platforms such as the web, smartphone applications, text messaging, and videoconferencing, digital therapeutics can transcend the time and geographic boundaries of traditional clinical settings so that individuals can access care when and where they need it. There is strong empirical support for digital therapeutic approaches for behavioral health, yet implementation science with regard to scaling use of digital therapeutics for behavioral health is still in its early stages. In this paper, we summarize the proceedings of a day-long workshop, "Implementation Science and Digital Therapeutics," sponsored and hosted by the Center for Technology and Behavioral Health at Dartmouth College. The Center for Technology and Behavioral Health is an interdisciplinary P30 Center of Excellence funded by the National Institute on Drug Abuse, with the mission of promoting state-of-the-technology and state-of-the-science for the development, evaluation, and sustainable implementation of digital therapeutic approaches for substance use and related conditions. Workshop presentations were grounded in current models of implementation science. Directions and opportunities for collaborative implementation science research to promote broad adoption of digital therapeutics for behavioral health are offered.

Psychological Symptoms and Outcomes in Adults Receiving Community-based Treatment for Substance Use Disorders

BACKGROUND

Mental health issues in individuals with substance use disorders are common and can affect treatment outcomes.

OBJECTIVES

Secondary analysis of a multi-center trial of an internet-delivered psychosocial SUD treatment intervention (Therapeutic Education System; TES) to: 1) describe psychological symptoms over time, 2) explore whether treatment assignment was associated with psychological symptoms 3) explore whether psychological symptoms at baseline moderated the effect of TES on abstinence or retention at the end of treatment.

METHODS

Psychological symptoms were measured using the Global Severity Index (GSI) from the Brief Symptom Inventory (BSI-18), PHQ-9, and MINI SPIN (social anxiety). Zero-inflated-negative-binomial models given high numbers of "0" GSI scores and multivariate logistic regression models were run to estimate the effect of the interaction between treatment and baseline psychological symptoms.

RESULTS

The mean age was 35, 37.9% were female, 56.0% were white. Fifty-four percent had a negative urine drug or breath alcohol screen at baseline. Mean GSI score at baseline was 13.5 (SD = 12.6). GSI scores significantly improved (p<.0001) over time. Treatment was not significantly associated with GSI scores (aIRR = 0.97, 95%CI = 0.85-1.11). Those with social anxiety at baseline had a higher likelihood of achieving abstinence when receiving TES compared to TAU (b = 1.2071, SE = 0.6109, p = 0.0482).

CONCLUSIONS

Psychological symptoms may improve over time in individuals seeking treatment for SUD, and for those with social anxiety, technology-based treatments may result in a better response. Examining the effect of SUD treatment on broader psychological outcomes in addition to abstinence may help clinicians provide more individualized care for those with co-occurring conditions.

Characteristics and challenges of the clinical pipeline of digital therapeutics

In this Comment, we characterize the current pipeline of digital therapeutics and offer a clinical perspective into the advantages, challenges, and barriers to implementation of this treatment modality for patient care, which we hope will inform future regulatory policy, prescribing decisions, and scope of real-world evidence collection.

Digital Clinical Trials for Substance Use Disorders in the Age of Covid-19

: As a result of the coronavirus 2019 (Covid-19) pandemic, clinical research for substance use disorders (SUDs) has been impeded due to widespread stay-at-home mandates limiting the operations of "non-essential" work. Although appropriate to proceed with an abundance of caution to prevent viral spread, there will be detrimental consequences for patients with SUDs if clinical trials research cannot adapt and continue uninterrupted. The field of digital health has strong evidence for its feasibility and effectiveness and offers tools that can facilitate the continuation of SUD clinical trials research remotely in accordance with Covid-19 precautions. Some digital tools have been used as components of SUD research in the past; however, no published clinical trial in SUDs to-date has been entirely virtual. This has important implications for disrupted clinical care, as providers seek guidelines for best digital practices. This paper provides a roadmap for integrating the fields of digital health and SUD clinical trials by proposing methods to complete recruitment, screening, informed consent, other study procedures, and internal lab operations digitally. The immediate future of SUD research depends on the ability to comply with social distancing. Investment in research of digital clinical trials for SUDs provides an opportunity to cultivate benefits for research and clinical care long-term as we can (1) define regulatory requirements for the implementation of digital systems, (2) develop consensus on system-wide standards and protocols in the appropriate use of technology, and (3) gain experience that can translate to the treatment of patients with SUDs through telehealth in the community.

Generalizing randomized trial findings to a target population using complex survey population data

Randomized trials are considered the gold standard for estimating causal effects. Trial findings are often used to inform policy and programming efforts, yet their results may not generalize well to a relevant target population due to potential differences in effect moderators between the trial and population. Statistical methods have been developed to improve generalizability by combining trials and population data, and weighting the trial to resemble the population on baseline covariates. Large-scale surveys in fields such as health and education with complex survey designs are a logical source for population data; however, there is currently no best practice for incorporating survey weights when generalizing trial findings to a complex survey. We propose and investigate ways to incorporate survey weights in this context. We examine the performance of our proposed estimator through simulations in comparison to estimators that ignore the complex survey design. We then apply the methods to generalize findings from two trials-a lifestyle intervention for blood pressure reduction and a web-based intervention to treat substance use disorders-to their respective target populations using population data from complex surveys. The work highlights the importance in properly accounting for the complex survey design when generalizing trial findings to a population represented by a complex survey sample.

Integrating Mental Health and Addiction Treatment Into General Medical Care: The Role of Policy

Interventions that integrate care for mental illness or substance use disorders into general medical care settings have been shown to improve patient outcomes in clinical trials, but efficacious models are complex and difficult to scale up in real-world practice settings. Existing payment policies have proven inadequate to facilitate adoption of effective integrated care models. This article provides an overview of evidence-based models of integrated care, discusses the key elements of such models, considers how existing policies have fallen short, and outlines future policy strategies. Priorities include payment policies that adequately support structural elements of integrated care and incentivize multidisciplinary team formation and accountability for patient outcomes, as well as policies to expand the specialty mental health and addiction treatment workforce and address the social determinants of health that disproportionately influence health and well-being among people with mental illness or substance use disorders.

The Future of Telepsychiatry in India

Technology is bringing about a revolution in every field and mental health care is no exception. The ongoing COVID-19 pandemic has provided us with both a need and an opportunity to use technology as means to improve access to mental health care. Hence, it is imperative to expand and harness the tremendous potential of telepsychiatry by expanding the scope of its applications and the future possibilities. In this article, we explore the different avenues in digital innovation that is revolutionizing the practice in psychiatry like mental health applications, artificial intelligence, e-portals, and technology leveraging for building capacity. Also, we have also visualized what the future has in store for our practice of psychiatry, considering how rapid technological advances can occur and how these advances will impact us. There will be challenges on the road ahead, especially for a country like India for instance; the digital divide, lack of knowledge to utilize the available technology and the need for a quality control and regulation. However, it is safe to presume that telepsychiatry will evolve and progress beyond these roadblocks and will fulfill its role in transforming health care. Telepsychiatry will improve the health care capacity to interact with patients and family. The blurring of national and international borders will also open international opportunities to psychiatrist in India, heralding a new wave of virtual health tourism.

A Randomized and Controlled Acceptability Trial of an Internet-based Therapy among Inpatients with Co-occurring Substance Use and Other Psychiatric Disorders

Technology-assisted treatment (TAT) holds promise for innovative assessment, prevention, and treatment of substance use disorders (SUD). The widespread access to TAT makes it a potentially cost-effective and inventive option available for delivery in multiple settings. This study assessed acceptability of the web-based Therapeutic Education System (TES) in hospitalized dual diagnosis patients with SUDs and other psychiatric disorders. Methods: Eligible participants were nonpsychotic, voluntary patients with self-reported drug or alcohol use in the 30 days prior to admission. They were randomly assigned to treatment as usual (TAU, n = 47) or TAU + TES (n = 48). Acceptability of this Internet-based intervention was assessed by observed utilization and self-report. Results: The TAU + TES group (# analyzed = 41) completed a mean total of 5.5 (SEM = 0.8) modules with about one module per day while hospitalized and rated TES highly on several constructs of acceptability, including novelty, usefulness and ease of understanding. Conclusions: These findings support further exploration of TAT for treatment expansion in a high acuity, dual diagnosis population and indicate the value of future research on efficacy. ClinicalTrials.gov Identifier: NCT02674477.

Neurobiology, Clinical Presentation, and Treatment of Methamphetamine Use Disorder: A Review

IMPORTANCE

The prevalence of and mortality associated with methamphetamine use has doubled during the past 10 years. There is evidence suggesting that methamphetamine use disorder could be the next substance use crisis in the United States and possibly worldwide.

OBSERVATION

The neurobiology of methamphetamine use disorder extends beyond the acute effect of the drug as a monoaminergic modulator and includes intracellular pathways focused on oxidative stress, neurotoxic and excitotoxic effects, and neuroinflammation. Similarly, the clinical picture extends beyond the acute psychostimulatory symptoms to include complex cardiovascular and cerebrovascular signs and symptoms that need to be identified by the clinician. Although there are no pharmacologic treatments for methamphetamine use disorder, cognitive behavioral therapy, behavioral activation, and contingency management show modest effectiveness.

CONCLUSIONS AND RELEVANCE

There is a need to better understand the complex neurobiology of methamphetamine use disorder and to develop interventions aimed at novel biological targets. Parsing the disorder into different processes (eg, craving or mood-associated alterations) and targeting the neural systems and biological pathways underlying these processes may lead to greater success in identifying disease-modifying interventions. Finally, mental health professionals need to be trained in recognizing early cardiovascular and cerebrovascular warning signs to mitigate the mortality associated with methamphetamine use disorder.

A multicenter clinical trial to assess the efficacy of the digital therapeutics for essential hypertension: Rationale and design of the HERB-DH1 trial

Digital therapeutics is a new approach to treat hypertension via using software programs such as smartphone apps and/or device algorithms. We develop a HERB system-new interactive smartphone app (HERB Mobile) with web-based patient management console (HERB Console)-to lower blood pressure (BP) based on an algorithm that helps users to promote lifestyle modifications in conjunction with medically validated non-pharmacological interventions. The app can assess the personalities, behavior characteristics, and hypertension determinants of each patient with hypertension to provide adequate guidance. To demonstrate the efficacy of the system, we designed a randomized, controlled, multicenter, open-label trial "HERB-DH1 (HERB digital hypertension 1)" to assess the efficacy of HERB system in patients with essential hypertension. The authors allocate patients to the intervention group (HERB system + standard lifestyle modification) or to the control group (standard lifestyle modification alone). In the intervention group, we provide the HERB Mobile for patients and the HERB Console for their primary physicians for 24 weeks. Both groups are instructed for standard lifestyle modifications based on the current recommendations in the Japanese Society of Hypertension 2019 guideline. The primary outcome is the mean change from baseline to 12 weeks in 24-hour systolic BP measured by ambulatory BP monitoring. We started this study in December of 2019, and the trial results will be expected in early 2021. We believe that this trial enables us to verify the efficacy of the HERB system in patients with essential hypertension.

Video directly observed therapy intervention using a mobile health application among opioid use disorder patients receiving office-based buprenorphine treatment: protocol for a pilot randomized controlled trial

BACKGROUND

Office-based buprenorphine treatment of opioid use disorder (OUD) does not typically include in-person directly observed therapy (DOT), potentially leading to non-adherence. Video DOT technologies may safeguard against this issue and thus enhance likelihood of treatment success. We describe the rationale and protocol for the Trial of Adherence Application for Buprenorphine treatment (TAAB) study, a pilot randomized controlled trial (RCT) to evaluate the effects of video DOT delivered via a smartphone app on office-based buprenorphine treatment outcomes, namely illicit opioid use and retention.

METHODS

Participants will be recruited from office-based opioid addiction treatment programs in outpatient clinics at two urban medical centers and randomized to either video DOT (intervention) delivered via a HIPAA-compliant, asynchronous, mobile health (mHealth) technology platform, or treatment-as-usual (control). Eligibility criteria are: 18 years or older, prescribed sublingual buprenorphine for a cumulative total of 28 days or less from the office-based opioid treatment program, and able to read and understand English. Patients will be considered ineligible if they are unable or unwilling to use the intervention, provide consent, or complete weekly study visits. All participants will complete 13 in-person weekly visits and be followed via electronic health record data capture at 12- and 24-weeks post-randomization. Data gathered include the following: demographics; current and previous treatment for OUD; self-reported diversion of prescribed buprenorphine; status of their mental and physical health; and self-reported lifetime and past 30-day illicit substance use. Participants provide urine samples at each weekly visit to test for illicit drugs and buprenorphine. The primary outcome is percentage of weekly urines that are negative for opioids over the 12-weeks. The secondary outcome is engagement in treatment at week 12.

DISCUSSION

Video DOT delivered through mHealth technology platform offers possibility of improving patients' buprenorphine adherence by providing additional structure and accountability. The TAAB study will provide important preliminary estimates of the impact of this mHealth technology for patients initiating buprenorphine, as well as the feasibility of study procedures, thus paving the way for further research to assess feasibility and generate preliminary data for design of a future Phase III trial. Trial Registration ClinicalTrails.gov, NCT03779997, Registered on December 19, 2018.

National Institutes of Health Support of Digital Health Behavior Research

The National Institutes of Health (NIH) has increasingly supported research in digital health technologies to advance research and deliver behavior change interventions. We highlight some of the research supported by the NIH in eHealth, mHealth, and social media as well as research resources supported by the NIH to accelerate research in this area. We also describe some of the challenges and opportunities in the digital health field and the need to balance the promise of these technologies with rigorous scientific evidence.

Implementation Determinants and Outcomes of a Technology-Enabled Service Targeting Suicide Risk in High Schools: Mixed Methods Study

BACKGROUND

Technology-enabled services (TESs), which integrate human service and digital components, are popular strategies to increase the reach and impact of mental health interventions, but large-scale implementation of TESs has lagged behind their potential.

OBJECTIVE

This study applied a mixed qualitative and quantitative approach to gather input from multiple key user groups (students and educators) and to understand the factors that support successful implementation (implementation determinants) and implementation outcomes of a TES for universal screening, ongoing monitoring, and support for suicide risk management in the school setting.

METHODS

A total of 111 students in the 9th to 12th grade completed measures regarding implementation outcomes (acceptability, feasibility, and appropriateness) via an open-ended survey. A total of 9 school personnel (school-based mental health clinicians, nurses, and administrators) completed laboratory-based usability testing of a dashboard tracking the suicide risk of students, quantitative measures, and qualitative interviews to understand key implementation outcomes and determinants. School personnel were presented with a series of scenarios and common tasks focused on the basic features and functions of the dashboard. Directed content analysis based on the Consolidated Framework for Implementation Research was used to extract multilevel determinants (ie, the barriers or facilitators at the levels of the outer setting, inner setting, individuals, intervention, and implementation process) related to positive implementation outcomes of the TES.

RESULTS

Overarching themes related to implementation determinants and outcomes suggest that both student and school personnel users view TESs for suicide prevention as moderately feasible and acceptable based on the Acceptability of Intervention Measure and Feasibility of Intervention Measure and as needing improvements in usability based on the System Usability Scale. Qualitative results suggest that students and school personnel view passive data collection based on social media data as a relative advantage to the current system; however, the findings indicate that the TES and the school setting need to address issues of privacy, integration into existing workflows and communication patterns, and options for individualization for student-centered care.

CONCLUSIONS

Innovative suicide prevention strategies that rely on passive data collection in the school context are a promising and appealing idea. Usability testing identified key issues for revision to facilitate widespread implementation.

Technology Use Patterns Among Patients Enrolled in Inpatient Detoxification Treatment

BACKGROUND

Technology-based interventions offer a practical, low-cost, and scalable approach to optimize the treatment of substance use disorders (SUDs) and related comorbidities (HIV, hepatitis C infection). This study assessed technology use patterns (mobile phones, desktop computers, internet, social media) among adults enrolled in inpatient detoxification treatment.

METHODS

A 49-item, quantitative and qualitative semi-structured survey assessed for demographic characteristics, technology use patterns (ie, mobile phone, text messaging [TM], smart phone applications, desktop computer, internet, and social media use), privacy concerns, and barriers to technology use. We used multivariate logistic regression models to assess the association between respondent demographic and clinical characteristics and their routine use of technologies.

RESULTS

Two hundred and six participants completed the survey. Nearly all participants reported mobile phone ownership (86%). Popular mobile phone features included TM (96%), web-browsers (81%), and accessing social media (61%). There was high mobile phone (3.3 ± 2.98) and phone number (2.6 ± 2.36) turnover in the preceding 12 months. Nearly half described daily or weekly access to desktop computers (48%) and most reported internet access (67%). Increased smartphone ownership was associated with higher education status (P = 0.022) and homeless respondents were less likely to report mobile phone ownership (P = 0.010) compared to participants with any housing status (ie, own apartment, residing with friends, family, or in a halfway house). Internet search engines were used by some participants (39.4%, 71/180) to locate 12 step support group meetings (37%), inpatient detoxification programs (35%), short- or long-term rehabilitation programs (32%), and outpatient treatment programs (4%).

CONCLUSIONS

Technology use patterns among this hard-to-reach sample of inpatient detoxification respondents suggest high rates of mobile phone ownership, TM use, and moderate use of technology to facilitate linkage to addiction treatment services.

Digital Health and Addiction

Digital technologies are rapidly changing how we understand and promote health. A robust and growing line of research has examined how digital health may enhance our understanding and treatment of addiction. This manuscript highlights innovations in the application of digital health approaches to addiction medicine, with a particular emphasis on advances in (1) real-time measurement of drug use events, (2) real-time measurement of the confluence of factors that surround drug use events, and (3) research examining how real-time measurement can inform responsive, in-the-moment interventions to prevent and treat substance use disorder. Although this manuscript focuses on addiction medicine as one exemplar of the striking impact of digital health, science-based digital health offers generalizable solutions to scaling-up unprecedented models of precision healthcare delivery across a broad spectrum of diseases across the globe.

Perspectives on trauma and the design of a technology-based trauma-informed intervention for women receiving medications for addiction treatment in community-based settings

BACKGROUND

Despite national calls to develop gender-specific interventions for women with opioid use disorder (OUD) with co-occurring trauma and post-traumatic stress disorder (PTSD) symptoms, there remains a dearth of research on what modalities or treatment components would be most feasible for this population. This study interviewed women with OUD receiving medication assisted treatment and addiction treatment providers to explore (a) experiences of barriers to receiving trauma treatment, and (b) both the perceptions and desired design of a prospective technology-delivered, trauma-informed treatment for women with OUD.

METHODS

Women with lifetime OUD (n = 11) and providers (n = 5) at two community substance use clinics completed semi-structured interviews. Interviews were transcribed, coded, and analyzed in NVivo v11 using a grounded theory approach. Women also completed a demographic form and clinical measures.

RESULTS

Clients were primarily women with children reporting histories of multiple trauma exposures, high PTSD symptoms, and polysubstance use. Two themes emerged among clients and one among providers regarding barriers to trauma treatment. Regarding the feasibility and desired attributes of a technology-based intervention, six themes emerged among clients and providers, respectively.

CONCLUSIONS

Themes suggest a high interest by clients and providers for a technology-delivered, trauma informed treatment available by smartphone. Utilizing technology as an adjunct to care, without reducing face-to-face therapy, was important to both clients and providers.

Beliefs and Attitudes About the Dissemination and Implementation of Internet-Based Self-Care Programs in a Large Integrated Healthcare System

Behavioral intervention technologies (BITs) are online programs or mobile applications that deliver behavioral health interventions for self-care. The dissemination and implementation of such programs in U.S. healthcare systems has not been widely undertaken. To better understand these phenomena, we explored perspectives on BIT deployment in the Veterans Health Administration. Interviews from 20 providers, administrators, and policy makers were analyzed using qualitative methods. Eight themes were identified including the use of traditional healthcare delivery models, strategies for technology dissemination and implementation, internet infrastructure, leadership, health system structure, regulations, and strategic priorities. This research suggests policy, funding, and strategy development initiatives to promote the implementation and dissemination of BITs.

Exploring gender differences among treatment-seekers who use opioids versus alcohol and other drugs

Identifying clinical differences between opioid users (OU) and alcohol and other drug users (AOD) may help to tailor treatment to OU, particularly among the majority of OU who are not on opioid agonist treatments. Given the dearth of research on these differences, this study explored gender differences in demographic and clinical characteristics between OU and AOD. Participants (N = 506) were from a multisite, randomized controlled clinical trial of an Internet-delivered psychosocial intervention conducted in 2010-2011. Logistic regression models explored differences in demographic and clinical characteristics by substance use category within and between women and men. Women OU were more likely to be younger, White, employed, benzodiazepine users, and less likely to have children or use cocaine and cannabis than women AOD. Men OU, compared to men AOD, were more likely to be younger, White, younger at first abuse/dependence, benzodiazepine users, and reported greater psychological distress, but were less likely to be involved in criminal justice or use stimulants. Interactions by gender and substance use were also detected for age of first abuse/dependence, employment, and criminal justice involvement. These findings provide a nuanced understanding of gender differences within substance use groups to inform providers for OU seeking treatment.

The application of digital health to the assessment and treatment of substance use disorders: The past, current, and future role of the National Drug Abuse Treatment Clinical Trials Network

The application of digital technologies to better assess, understand, and treat substance use disorders (SUDs) is a particularly promising and vibrant area of scientific research. The National Drug Abuse Treatment Clinical Trials Network (CTN), launched in 1999 by the U.S. National Institute on Drug Abuse, has supported a growing line of research that leverages digital technologies to glean new insights into SUDs and provide science-based therapeutic tools to a diverse array of persons with SUDs. This manuscript provides an overview of the breadth and impact of research conducted in the realm of digital health within the CTN. This work has included the CTN's efforts to systematically embed digital screeners for SUDs into general medical settings to impact care models across the nation. This work has also included a pivotal multi-site clinical trial conducted on the CTN platform, whose data led to the very first "prescription digital therapeutic" authorized by the U.S. Food and Drug Administration (FDA) for the treatment of SUDs. Further CTN research includes the study of telehealth to increase capacity for science-based SUD treatment in rural and under-resourced communities. In addition, the CTN has supported an assessment of the feasibility of detecting cocaine-taking behavior via smartwatch sensing. And, the CTN has supported the conduct of clinical trials entirely online (including the recruitment of national and hard-to-reach/under-served participant samples online, with remote intervention delivery and data collection). Further, the CTN is supporting innovative work focused on the use of digital health technologies and data analytics to identify digital biomarkers and understand the clinical trajectories of individuals receiving medications for opioid use disorder (OUD). This manuscript concludes by outlining the many potential future opportunities to leverage the unique national CTN research network to scale-up the science on digital health to examine optimal strategies to increase the reach of science-based SUD service delivery models both within and outside of healthcare.

Measures of Effectiveness, Efficiency, and Quality of Telemedicine in the Management of Alcohol Abuse, Addiction, and Rehabilitation: Systematic Review

Background

More than 18 million Americans are currently suffering from alcohol use disorder (AUD): a compulsive behavior of alcohol use as a result of a chronic, relapsing brain disease. With alcohol-related injuries being one of the leading causes of preventable deaths, there is a dire need to find ways to assist those suffering from alcohol dependence. There still exists a gap in knowledge as to the potential of telemedicine in improving health outcomes for those patients suffering from AUD.

Objective

The purpose of this systematic review was to evaluate the measures of effectiveness, efficiency, and quality that result from the utilization of telemedicine in the management of alcohol abuse, addiction, and rehabilitation.

Methods

This review was conducted utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The articles used in this analysis were gathered using keywords inclusive of both telemedicine and alcohol abuse, which were then searched in the Cumulative Index to Nursing and Allied Health Literature, Cochrane, and MEDLINE (PubMed) databases. A total of 22 articles were chosen for analysis.

Results

The results indicated that telemedicine reduced alcohol consumption. Other common outcomes included reduced depression (4/35, 11%), increased patient satisfaction (3/35, 9%), increase in accessibility (3/35, 9%), increased quality of life (2/35, 6%), and decreased cost (1/35, 3%). Interventions included mobile health (11/22, 50%), electronic health (6/22, 27%), telephone (3/33, 14%), and 2-way video (2/22, 9%). Studies were conducted in 3 regions: the United States (13/22, 59%), the European Union (8/22, 36%), and Australia (1/22, 5%).

Conclusions

Telemedicine was found to be an effective tool in reducing alcohol consumption and increasing patients’ accessibility to health care services or health providers. The group of articles for analysis suggested that telemedicine may be effective in reducing health care costs and improving the patient’s quality of life. Although telemedicine shows promise as an effective way to manage alcohol-related disorders, it should be further investigated before implementation.

Technology-Delivered Cognitive-Behavioral Interventions for Alcohol Use: A Meta-Analysis

BACKGROUND

Cognitive-behavioral therapy (CBT) has long-standing evidence for efficacy in the treatment of alcohol use, yet implementation in clinical practice has been challenging. Delivery of CBT through technology-based platforms, such as web-based programs and mobile applications, has the potential to provide widespread access to this evidence-based intervention. While there have been reviews indicating the efficacy of technology-based delivery of CBT for various psychiatric conditions, none have focused on efficacy for alcohol use. The current meta-analysis was conducted to fill this research gap.

METHODS

Descriptive data were used to characterize the nature of the literature on technology-delivered, CBT-based interventions for alcohol use ("CBT Tech"). Inverse-variance-weighted effect sizes were calculated, and random effects, effect sizes were pooled in 4 subgroups.

RESULTS

Fifteen published trials conducted primarily with at-risk or heavy drinkers were identified. Of these studies, 60% explicitly targeted alcohol use moderation. The content of CBT Tech programs varied, ranging from 4 to 62 sessions/exercises, with many programs combining elements of motivational interviewing (47%). With respect to efficacy, CBT Tech as a stand-alone treatment in contrast to a minimal treatment control showed a positive and statistically significant, albeit small effect (g = 0.20: 95% CI = 0.22, 0.38, kes  = 5). When CBT Tech was compared to treatment as usual (TAU), effects were nonsignificant. However, when CBT Tech was tested as an addition to TAU, in contrast to TAU only, the effect size was positive, significant (g = 0.30: 95% CI = 0.10, 0.50, kes  = 7), and stable over 12-month follow-up. Only 2 studies compared CBT Tech to in-person CBT, and this pooled effect size did not suggest superior efficacy.

CONCLUSIONS

These results show a benefit for technology-delivered, CBT-based interventions as a stand-alone therapy for heavy drinking or as an addition to usual care in specialty substance use settings.

Computerized Cognitive Behavioral Therapy for Substance Use Disorders: A Summary of the Evidence and Potential Mechanisms of Behavior Change

Cognitive-behavioral therapy (CBT) is one of the most evaluated behavioral interventions for substance use disorders, with considerable empirical evidence supporting its efficacy. However, despite CBT's strong support from efficacy trials, broad dissemination and implementation have been challenging. Furthermore, there remains limited understanding regarding CBT's mechanisms of behavior change; the theory-driven assumption that individuals acquire new skills for coping with triggers for substance use has notoriously lacked statistical support. The emergence of computer-delivered interventions has the potential to address dissemination and implementation challenges, as well as offer advantages toward understanding treatment mechanisms. This article will provide a summary of the current evidence supporting one particular computerized CBT program, CBT4CBT. Multiple clinical trials in different treatment settings have indicated CBT4CBT's efficacy at reducing rates of alcohol and drug use when provided as an add-on to standard addiction treatment, as well as when provided with minimal clinical monitoring (i.e., virtual stand-alone). These effects have also been relatively durable after treatment termination, consistent with findings of traditional CBT. It is important to note that the evaluation of individuals' cognitive and behavioral coping skills prior and following treatment has indicated the acquisition/improvement of these skills may be a mechanism of behavior change for those who engage with CBT4CBT. Thus, computerized delivery may be a strategy for enhancing individuals' learning of cognitive and behavioral skills for successfully avoiding substance use. Future work should aim to identify the optimal type of setting, clinician role, and patient characteristics for targeted dissemination and implementation.

Technology-Based Contingency Management in the Treatment of Substance-Use Disorders

Contingency management is one of the most efficacious interventions to promote drug abstinence. Contingency management has traditionally been delivered in person so that clinicians could confirm drug abstinence and provide access to additional therapeutic services. Now, new technologies not only permit remote confirmation of abstinence, but also remote delivery of incentives. We discuss several technology-based tools to assess substance use, and new ways to deliver contingency management to promote tobacco, alcohol, and cannabis abstinence. These new tools have the potential to dramatically increase access while maintaining high levels of treatment fidelity. Technology-based methods also allow arranging group contingencies that harness online communities, and they permit targeting multiple health-risk behaviors with a combination of sensor-based technologies. Overall, there are unprecedented opportunities to link technology with contingency management to promote drug abstinence.

Understanding site variability in a multisite clinical trial of a technology-delivered psychosocial intervention for substance use disorders

BACKGROUND

Significant fixed effects of site (main effects of site and/or site by treatment interactions) on primary outcome have been identified in the majority of studies performed by NIDA's National Drug Abuse Treatment Clinical Trials Network. While rarely explored, identifying patient- and site-level variables that are associated with site effects can provide information about the context in which outcome is optimized.

METHODS

In a 10-site clinical trial that evaluated the effectiveness of a web-based psychosocial intervention compared to usual treatment of patients (N = 507) with substance use disorders, the primary outcome analysis revealed significant main effect of site, modeled as a fixed effect, on the outcome of abstinence (Campbell et al., 2014). In the current analysis, we use a two-level, hierarchical generalized linear model (HGLM) to identify patient- and site-level variables associated with abstinence outcome, while modeling site as a random factor.

RESULTS

The site-specific percentage of patients abstinent in the last 4 weeks of the study varied from 6.1% to 40%. However, only 6.7% (p = 0.08) of variability in end-of-study abstinence was accounted for by site, indicating a small-moderate effect. Among patient-level predictors, older age (OR = 1.40; 95% CI = 1.15, 1.71; p = 0.0009), abstinence at baseline (OR = 2.77; 95% CI = 1.73, 4.45; p < 0.0001), and among site-level predictors, higher annual clinic admissions (OR = 1.28; 95% CI = 1.03, 1.59; p = 0.0251) were significantly associated with increased likelihood of abstinence. When controlling for these three variables in a HGLM, only patient age and abstinence at baseline remained significant, and random factor site explained only 1.4% of variability in end-of-study abstinence, a 79% reduction in magnitude.

CONCLUSIONS

The findings suggest that only some amount of variability in abstinence outcomes among sites can be explained by a combination of patient- and site-level variables. Our findings support the case that variability between sites is a natural phenomenon, and our methodological recommendation is that site be modeled as a random factor when analyzing multi-site clinical trials.

Technology preferences to enhance HIV and HCV care among patients with substance use disorders

We examined technology use patterns (e.g., mobile phone and computer ownership, text messaging, internet access) and preferences for adopting health information technologies to optimize office-based treatment for substance use disorders, HIV, and Hepatitis C virus (HCV) infection. Surveys were administered to patients enrolled in inpatient detoxification program in a publicly-funded tertiary referral center. Most reported mobile phone ownership (86%) and described high rates of mobile phone (3.3) and phone number (2.6) turnover in the preceding year. Internet access was reported on a daily (52%) or weekly basis (22%). Most participants were amenable to receiving text message-based informational content (i.e., medications, support groups, treatment programs) pertaining to substance use disorders (79%), HIV (50%), and HCV care (58%). Respondents reporting less than high school education and past year incarcerated elicited higher favorability in adopting smartphone apps to facilitate peer sharing of HIV-HCV related content. Results suggest high favorability for adopting health information technologies to enhance office-based treatment for substance use disorders, HIV, and HCV, particularly among vulnerable patient sub-groups.