Use of a Smartphone Recovery Tool for Latinos with Co-Occurring Alcohol and Other Drug Disorders and Mental Disorders

Adaptation of complex interventions for people with long-term conditions: a scoping review

Adaptation seeks to transfer and implement healthcare interventions developed and evaluated in one context to another. The aim of this scoping review was to understand current approaches to the adaptation of complex interventions for people with long-term conditions (LTCs) and to identify issues for studies performed in low- and middle-income countries (LMICs). Bibliographic databases were searched from 2000 to October 2022. This review involved five stages: (i) definition of the research question(s); (ii) identifying relevant studies; (iii) study selection; (iv) data charting; and (v) data synthesis. Extraction included an assessment of the: rationale for adaptation; stages and levels of adaptation; use of theoretical frameworks, and quality of reporting using a checklist based on the 2021 ADAPT guidance. Twenty-five studies were included from across 21 LTCs and a range of complex interventions. The majority (16 studies) focused on macro (national or international) level interventions. The rationale for adaptation included intervention transfer across geographical settings [high-income country (HIC) to LMIC: six studies, one HIC to another: eight studies, one LMIC to another: two studies], or transfer across socio-economic/racial groups (five studies), or transfer between different health settings within a single country (one study). Overall, studies were judged to be of moderate reporting quality (median score 23, maximum 46), and typically focused on early stages of adaptation (identification and development) with limited outcome evaluation or implementation assessment of the adapted version of the intervention. Improved reporting of the adaptation for complex interventions targeted at LTCs is needed. Development of future adaptation methods guidance needs to consider the needs and priorities of the LMIC context.

Application of Self-Determination Theory to Substance Use and Its Treatment: A Scoping Review of the Literature

Background: Self-determination theory (SDT) may provide important insights for understanding substance misuse and treatment outcomes. However, to date, the literature applying SDT to substance use and its treatment is varied and difficult to integrate. Methods: The authors searched psycINFO and PubMed on October 26th, 2021 to identify articles applying SDT to substance use and its treatment. Eligible studies were published in peer-reviewed articles in English, on adult populations (18+), and explicitly applied SDT to the context of substance use or its treatment. Results were categorized as studies applying SDT in non-treatment or treatment settings and were synthesized within these categories by substance(s) of focus, primary outcome(s), component(s) of SDT utilized, and relevant findings. Results: The search revealed 38 articles applying SDT in non-treatment (k = 16) and treatment (k = 22) settings. Causality orientations and the basic psychological needs were the most frequently studied components of SDT. Studies that applied SDT in non-treatment settings placed a greater emphasis on causality orientations, whereas treatment studies more frequently targeted or measured basic psychological needs. Conclusions: SDT constructs consistently predicted both substance misuse and treatment outcomes in a theoretically consistent manner, however, several important gaps remain and opportunities for future research are discussed.

Testing a Digital Health App for Patients With Alcohol-Associated Liver Disease: Mixed Methods Usability Study

BACKGROUND

Alcohol-associated liver disease (ALD) is increasingly common and associated with serious and costly health consequences. Cessation of drinking can improve ALD morbidity and mortality; however, support for cessation is not routinely offered to those diagnosed with ALD, and continued drinking or resumption of drinking after diagnosis is common. Mobile health (mHealth) has the potential to offer convenient and scalable support for alcohol cessation to those diagnosed with ALD, but mHealth interventions for alcohol cessation have not been designed for or evaluated in a population with ALD.

OBJECTIVE

This study aims to understand how individuals with ALD would perceive and use an mHealth tool for alcohol cessation and to gather their perspectives on potential refinements to the tool that would allow it to better meet their needs.

METHODS

We interviewed 11 individuals who attended clinic visits related to their ALD to elicit their needs related to support for alcohol cessation and views on how mHealth could be applied. After completing initial interviews (pre), participants were provided with access to an mHealth app designed for alcohol cessation, which they used for 1 month. Afterward, they were interviewed again (post) to give feedback on their experiences, including aspects of the app that met their needs and potential refinements. We applied a mixed methods approach, including a qualitative analysis to identify major themes from the interview transcripts and descriptive analyses of use of the app over 1 month.

RESULTS

First, we found that a diagnosis of ALD is perceived as a motivator to quit drinking but that patients had difficulty processing the overwhelming amount of information about ALD they received and finding resources for cessation of alcohol use. Second, we found that the app was perceived as usable and useful for supporting drinking recovery, with patients responding favorably to the self-tracking and motivational components of the app. Finally, patients identified areas in which the app could be adapted to meet the needs of patients with ALD, such as providing information on the medical implications of an ALD diagnosis and how to care for their liver as well as connecting individuals with ALD to one another via a peer-to-peer support forum. Rates of app use were high and sustained across the entire study, with participants using the app a little more than half the days during the study on average and with 100% (11/11) of participants logging in each week.

CONCLUSIONS

Our results highlight the need for convenient access to resources for alcohol cessation after ALD diagnosis and support the potential of an mHealth approach to integrate recovery support into care for ALD. Our findings also highlight the ways the alcohol cessation app should be modified to address ALD-specific concerns.

Digital Health for Migrants, Ethnic and Cultural Minorities and the Role of Participatory Development: A Scoping Review

Digital health interventions (DHIs) are increasingly used to address the health of migrants and ethnic minorities, some of whom have reduced access to health services and worse health outcomes than majority populations. This study aims to give an overview of digital health interventions developed for ethnic or cultural minority and migrant populations, the health problems they address, their effectiveness at the individual level and the degree of participation of target populations during development. We used the methodological approach of the scoping review outlined by Tricco. We found a total of 2248 studies, of which 57 were included, mostly using mobile health technologies, followed by websites, informational videos, text messages and telehealth. Most interventions focused on illness self-management, mental health and wellbeing, followed by pregnancy and overall lifestyle habits. About half did not involve the target population in development and only a minority involved them consistently. The studies we found indicate that the increased involvement of the target population in the development of digital health tools leads to a greater acceptance of their use.

Mobile Health Applications Addressing Health Disparities for Women on Community Supervision: A Scoping Review

BACKGROUND

Mobile health applications have gained popularity in assisting high-risk, hard-to-reach groups in self-management of health conditions. One such population with high rates of health disparities comprises women under community supervision. In this review, we examine the literature on mHealth applications to address health disparities among women under community supervision.

METHODS

We searched CINAHL, PubMed, and PsycInfo for peer-reviewed research articles conducted in the U.S. After removal of duplicates, review of 231 article titles and abstracts and 36 articles for full-text review yielded five articles for analysis. Extracted data include author, year, design, sample, objectives, conclusions, measures, interventions and analytic approach.

RESULTS

Of the five studies that addressed health disparities of individuals under community supervision, one was done with participants on probation, four with participants on medication therapy for substance use disorder, and one with participants in a drug court program. Only one article was specific to women or controlled for ethnicity. No studies were done with those on parole. None done with populations outside the U.S.

CONCLUSION

Few studies focused on health disparities of women under community supervision. mHealth applications that address substance use, reproductive and sexual health, and safety issues specific to women under community supervision are warranted.

Communication between patients, peers, and care providers through a mobile health intervention supporting medication-assisted treatment for opioid use disorder

INTRODUCTION

Our team developed the HOPE app as a clinic-based platform to support patients receiving medication assisted treatment (MAT) for opioid use disorder. We investigated the app's two communication features: an anonymous community message board (CMB) and secure messaging between patients and their clinic team.

METHODS

The HOPE (Heal Overcome Persist Endure) app was piloted with patients and MAT providers. Text from the CMB and messaging were downloaded and de-identified. Content analysis was performed using iteratively developed codebooks with team consensus.

RESULTS

The pilot study enrolled 28 participants; 25 were "members" (patients) and 3 were providers (physician, nurse, social worker). Of member-generated CMB posts, 45% described the poster's state of mind, including positive and negative emotions, 47% conveyed support and 8% asked for support. Members' secure messages to the team included 52% medical, 45% app-related, and 8% social topics. Provider's messages contained information exchange (90%) and relationship-building (36%).

DISCUSSION

Through the CMB, members shared emotions and social support with their peers. Through secure messaging, members addressed medical and social needs with their care team, used primarily for information exchange but also relationship-building.

PRACTICE IMPLICATIONS

The HOPE app addresses communication needs for patients in MAT and can support them in recovery.

Testing an mHealth System for Individuals With Mild to Moderate Alcohol Use Disorders: Protocol for a Type 1 Hybrid Effectiveness-Implementation Trial

Background

The extent of human interaction needed to achieve effective and cost-effective use of mobile health (mHealth) apps for individuals with mild to moderate alcohol use disorder (AUD) remains largely unexamined. This study seeks to understand how varying levels of human interaction affect the ways in which an mHealth intervention for the prevention and treatment of AUDs works or does not work, for whom, and under what circumstances.

Objective

The primary aim is to detect the effectiveness of an mHealth intervention by assessing differences in self-reported risky drinking patterns and quality of life between participants in three study groups (self-monitored, peer-supported, and clinically integrated). The cost-effectiveness of each approach will also be assessed.

Methods

This hybrid type 1 study is an unblinded patient-level randomized clinical trial testing the effects of using an evidence-based mHealth system on participants’ drinking patterns and quality of life. There are two groups of participants for this study: individuals receiving the intervention and health care professionals practicing in the broader health care environment. The intervention is a smartphone app that encourages users to reduce their alcohol consumption within the context of integrative medicine using techniques to build healthy habits. The primary outcomes for quantitative analysis will be participant data on their risky drinking days and quality of life as well as app use from weekly and quarterly surveys. Cost measures include intervention and implementation costs. The cost per participant will be determined for each study arm, with intervention and implementation costs separated within each group. There will also be a qualitative assessment of health care professionals’ engagement with the app as well as their thoughts on participant experience with the app.

Results

This protocol was approved by the Health Sciences Minimal Risk Institutional Review Board on November 18, 2019, with subsequent annual reviews. Recruitment began on March 6, 2020, but was suspended on March 13, 2020, due to the COVID-19 pandemic restrictions. Limited recruitment resumed on July 6, 2020. Trial status as of November 17, 2021, is as follows: 357 participants were enrolled in the study for a planned enrollment of 546 participants.

Conclusions

The new knowledge gained from this study could have wide and lasting benefits related to the integration of mHealth systems for individuals with mild to moderate AUDs. The results of this study will guide policy makers and providers toward cost-effective ways to incorporate technology in health care and community settings.

Trial Registration

ClinicalTrials.gov NCT04011644; https://clinicaltrials.gov/ct2/show/NCT04011644

International Registered Report Identifier (IRRID)

DERR1-10.2196/31109

Smartphone-based alcohol interventions: A systematic review on the role of notifications in changing behaviors toward alcohol

Background: Smartphone-based interventions are increasingly being used to facilitate positive behavior change, including reducing alcohol consumption. However, less is known about the effects of notifications to support this change, including intervention engagement and adherence. The aim of this review was to assess the role of notifications in smartphone-based interventions designed to support, manage, or reduce alcohol consumption. Methods: Five electronic databases were searched to identify studies meeting inclusion criteria: (1) studies using a smartphone-based alcohol intervention, (2) the intervention used notifications, and (3) published between 1st January 2007 and 30th April 2021 in English. PROSPERO was searched to identify any completed, ongoing, or planned systematic reviews and meta-analyses of relevance. The reference lists of all included studies were searched. Results: Overall, 14 papers were identified, reporting on 10 different interventions. The strength of the evidence regarding the role and utility of notifications in changing behavior toward alcohol of the reviewed interventions was inconclusive. Only one study drew distinct conclusions about the relationships between notifications and app engagement, and notifications and behavior change. Conclusions: Although there are many smartphone-based interventions to support alcohol reduction, this review highlights a lack of evidence to support the use of notifications (such as push notifications, alerts, prompts, and nudges) used within smartphone interventions for alcohol management aiming to promote positive behavior change. Included studies were limited due to small sample sizes and insufficient follow-up. Evidence for the benefits of smartphone-based alcohol interventions remains promising, but the efficacy of using notifications, especially personalized notifications, within these interventions remain unproven.

Opportunities to Integrate Mobile App-Based Interventions Into Mental Health and Substance Use Disorder Treatment Services in the Wake of COVID-19

The COVID-19 pandemic has heightened concerns about the impact of depression, anxiety, alcohol, and drug use on public health. Mobile apps to address these problems were increasingly popular even before the pandemic, and may help reach people who otherwise have limited treatment access. In this review, we describe pandemic-related substance use and mental health problems, the growing evidence for mobile app efficacy, how health systems can integrate apps into patient care, and future research directions. If equity in access and effective implementation can be addressed, mobile apps are likely to play an important role in mental health and substance use disorder treatment.

Cultural adaptation of internet- and mobile-based interventions for mental disorders: a systematic review

Providing accessible and effective healthcare solutions for people living in low- and middle-income countries, migrants, and indigenous people is central to reduce the global mental health treatment gap. Internet- and mobile-based interventions (IMI) are considered scalable psychological interventions to reduce the burden of mental disorders and are culturally adapted for implementation in these target groups. In October 2020, the databases PsycInfo, MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Web of Science were systematically searched for studies that culturally adapted IMI for mental disorders. Among 9438 screened records, we identified 55 eligible articles. We extracted 17 content, methodological, and procedural components of culturally adapting IMI, aiming to consider specific situations and perspectives of the target populations. Adherence and effectiveness of the adapted IMI seemed similar to the original IMI; yet, no included study conducted a direct comparison. The presented taxonomy of cultural adaptation of IMI for mental disorders provides a basis for future studies investigating the relevance and necessity of their cultural adaptation.PROSPERO registration number: CRD42019142320.

Electronic Tools to Bridge the Language Gap in Health Care for People Who Have Migrated: Systematic Review

BACKGROUND

People who have migrated or with a language barrier may face significant hurdles in accessing health care. Some apps have been specifically developed to facilitate the dialogue between health care professionals and people who have migrated who have low-level language proficiency or to promote health among people who have migrated.

OBJECTIVE

We conducted a systematic review to investigate development, acceptability, and effectiveness of these types of apps.

METHODS

We conducted a search of PubMed, Scopus, and Embase databases. We included all study designs (qualitative, quantitative, mixed) reporting development, evaluation of efficacy, or acceptability of apps facilitating dialogue with a health professional or promoting health for people who have migrated, minorities, or tourists with a language barrier, using any outcome. Two researchers selected the studies independently. We collected general information about the app, information about health literacy and cultural adaptation, information about the development of the app, evidence on acceptability or efficacy, and information on app use. Data were collected by 2 researchers independently and results were reviewed to verify agreement and reported according to PRISMA (Preferred Reporting Items for Systematic Review and Meta-analysis).

RESULTS

Positive results for translation apps included better communication, but with possible limitations, and reduced consultation time. Positive results for health promotion apps included improved quality of life and better management of chronic illnesses.

CONCLUSIONS

Overall, the apps had good levels of acceptability, though only half had their efficacy evaluated. In those evaluations, the endpoints were mostly related to reported behavior change and knowledge improvement, which is common for evaluations of health promotion programs. In the future, as more health apps are created, it is essential that apps that claim to have a public health objective undergo a rigorous evaluation of their acceptability, efficacy, and actual use. Indicators of outcomes beyond changes in behavior and knowledge should be reported; change in health status or access to care should also be reported. This systematic review has helped us note the characteristics associated with improved acceptability and efficacy, which can be helpful for the development of future apps.

Current reporting of usability and impact of mHealth interventions for substance use disorder: A systematic review

BACKGROUND

Connected interventions use data collected through mobile/wearable devices to trigger real-time interventions and have great potential to improve treatment for substance use disorder (SUD). This review aims to describe the current landscape, effectiveness and usability of connected interventions for SUD.

METHODS

A systematic review was conducted to identify articles evaluating connected health interventions for SUD in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Three databases (PubMed, IEEE, and Scopus) were searched over a five-year period. Included articles described a connected health intervention targeting SUD and provided outcomes data. Data were extracted using a standardized reporting tool.

RESULTS

A total of 1676 unique articles were identified during the initial search, with 32 articles included in the final analysis. Seven articles of the 32 were derived from two large studies. The most commonly studied SUD was alcohol use disorder. Sixteen articles reported at least one statistically significant result with respect to reduced craving and/or substance use. The majority of articles used ecological momentary assessment to trigger interventions, while four used biologic/physiologic data. Two articles used a wearable device. Common intervention types included craving management, coping assistance, and tailored feedback. Twenty-three articles measured usability factors, and acceptability was generally reported as high.

CONCLUSION

Identified themes included a focus on AUD, use of smart phones, use of EMA for intervention delivery, positive effects on SUD related outcomes, and overall high acceptability. Wearables that directly monitor biologic data and predictive analytics using integrated data streams represent understudied opportunities for new research.

Exploring views on alcohol consumption and digital support for alcohol reduction in UK-based Punjabi-Sikh men: A think aloud and interview study

INTRODUCTION AND AIMS

We aimed to explore UK-based Punjabi-Sikh men's views on: (i) alcohol consumption within the community; (ii) available support for alcohol reduction; and (iii) an evidence-informed alcohol reduction app.

DESIGN AND METHODS

Semi-structured interviews and a think aloud method were employed. Participants (n = 15) were male, aged 18-27 years, identified as Punjabi-Sikh, were hazardous or harmful drinkers (i.e. had an Alcohol Use Disorders Identification Test-Consumption score of ≥5) and interested in using an app to reduce drinking. Interviews were audio-recorded, transcribed verbatim and analysed with inductive thematic analysis.

RESULTS

Six themes were developed: (i) fear of drinking to cope; (ii) clash between religious and cultural norms (i.e. an internal conflict between important values); (iii) stigmatisation of mental health issues and lack of knowledge as barriers to help seeking; (iv) perceived usefulness of goal setting, monitoring and feedback (i.e. beliefs about the utility of the app's components for reducing drinking); (v) concerns about accessibility of the app within the Punjabi-Sikh community; and (vi) desire for human support for continued app engagement.

DISCUSSION AND CONCLUSIONS

Among UK-based, Punjabi-Sikh men, clashing religious and cultural norms give rise to internal conflict about drinking. Stigmatisation of mental health issues and lack of knowledge of available support leads to reduced help seeking. Respondents believed an evidence-informed alcohol reduction app could be useful, but were concerned about accessibility within the wider community and wanted an element of human support. The potential for a combination of digital and face-to-face support should be explored.

Technology Acceptance in Mobile Health: Scoping Review of Definitions, Models, and Measurement

BACKGROUND

Designing technologies that users will be interested in, start using, and keep using has long been a challenge. In the health domain, the question of technology acceptance is even more important, as the possible intrusiveness of technologies could lead to patients refusing to even try them. Developers and researchers must address this question not only in the design and evaluation of new health care technologies but also across the different stages of the user's journey. Although a range of definitions for these stages exists, many researchers conflate related terms, and the field would benefit from a coherent set of definitions and associated measurement approaches.

OBJECTIVE

This review aims to explore how technology acceptance is interpreted and measured in mobile health (mHealth) literature. We seek to compare the treatment of acceptance in mHealth research with existing definitions and models, identify potential gaps, and contribute to the clarification of the process of technology acceptance.

METHODS

We searched the PubMed database for publications indexed under the Medical Subject Headings terms "Patient Acceptance of Health Care" and "Mobile Applications." We included publications that (1) contained at least one of the terms "acceptability," "acceptance," "adoption," "accept," or "adopt"; and (2) defined the term. The final corpus included 68 relevant studies.

RESULTS

Several interpretations are associated with technology acceptance, few consistent with existing definitions. Although the literature has influenced the interpretation of the concept, usage is not homogeneous, and models are not adapted to populations with particular needs. The prevalence of measurement by custom surveys suggests a lack of standardized measurement tools.

CONCLUSIONS

Definitions from the literature were published separately, which may contribute to inconsistent usage. A definition framework would bring coherence to the reporting of results, facilitating the replication and comparison of studies. We propose the Technology Acceptance Lifecycle, consolidating existing definitions, articulating the different stages of technology acceptance, and providing an explicit terminology. Our findings illustrate the need for a common definition and measurement framework and the importance of viewing technology acceptance as a staged process, with adapted measurement methods for each stage.

Smartphone Apps for the Treatment of Mental Disorders: Systematic Review

Background

Smartphone apps are an increasingly popular means for delivering psychological interventions to patients suffering from a mental disorder. In line with this popularity, there is a need to analyze and summarize the state of the art, both from a psychological and technical perspective.

Objective

This study aimed to systematically review the literature on the use of smartphones for psychological interventions. Our systematic review has the following objectives: (1) analyze the coverage of mental disorders in research articles per year; (2) study the types of assessment in research articles per mental disorder per year; (3) map the use of advanced technical features, such as sensors, and novel software features, such as personalization and social media, per mental disorder; (4) provide an overview of smartphone apps per mental disorder; and (5) provide an overview of the key characteristics of empirical assessments with rigorous designs (ie, randomized controlled trials [RCTs]).

Methods

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for systematic reviews were followed. We performed searches in Scopus, Web of Science, American Psychological Association PsycNET, and Medical Literature Analysis and Retrieval System Online, covering a period of 6 years (2013-2018). We included papers that described the use of smartphone apps to deliver psychological interventions for known mental disorders. We formed multidisciplinary teams, comprising experts in psychology and computer science, to select and classify articles based on psychological and technical features.

Results

We found 158 articles that met the inclusion criteria. We observed an increasing interest in smartphone-based interventions over time. Most research targeted disorders with high prevalence, that is, depressive (31/158,19.6%) and anxiety disorders (18/158, 11.4%). Of the total, 72.7% (115/158) of the papers focused on six mental disorders: depression, anxiety, trauma and stressor-related, substance-related and addiction, schizophrenia spectrum, and other psychotic disorders, or a combination of disorders. More than half of known mental disorders were not or very scarcely (<3%) represented. An increasing number of studies were dedicated to assessing clinical effects, but RCTs were still a minority (25/158, 15.8%). From a technical viewpoint, interventions were leveraging the improved modalities (screen and sound) and interactivity of smartphones but only sparingly leveraged their truly novel capabilities, such as sensors, alternative delivery paradigms, and analytical methods.

Conclusions

There is a need for designing interventions for the full breadth of mental disorders, rather than primarily focusing on most prevalent disorders. We further contend that an increasingly systematic focus, that is, involving RCTs, is needed to improve the robustness and trustworthiness of assessments. Regarding technical aspects, we argue that further exploration and innovative use of the novel capabilities of smartphones are needed to fully realize their potential for the treatment of mental health disorders.

Prevention, screening, and treatment for heavy drinking and alcohol use disorder

Heavy drinking and alcohol use disorder are major public health problems. Practitioners not specialising in alcohol treatment are often unaware of the guidelines for preventing, identifying, and treating heavy drinking and alcohol use disorder. However, a consensus exists that clinically useful and valuable tools are available to address these issues. Here, we review existing information and developments from the past 5 years in these areas. We also include information on heavy drinking and alcohol use disorder among individuals with co-occurring psychiatric disorders, including drug use disorders. Areas covered include prevention; screening, brief intervention, and referral for treatment; evidence-based behavioural interventions; medication-assisted treatment; technology-based interventions (eHealth and mHealth); and population-level interventions. We also discuss the key topics for future research.

Digital recovery networks: Characterizing user participation, engagement, and outcomes of a novel recovery social network smartphone application

BACKGROUND

Recovery support services, including in vivo (i.e., face to face) peer-based supports and social networks, are associated with positive effects on substance use disorder recovery outcomes. The translation of in vivo supports to digital platforms is a recent development that is mostly unexamined. The types of users and their engagement patterns of digital recovery support services (D-RSS), and the utility of objective and self-report data in predicting future recovery outcomes require further study to move the recovery support field forward.

METHODS

De-identified individual user data from Sober Grid, a recovery social network site (R-SNS) smartphone application, for the years 2015-2018 was analyzed to identify the demographics, engagement patterns, and recovery outcomes of active users. Analysis of variance (ANOVA) tests were used to examine between generational group differences on activity variables and recovery outcomes. Logistic and linear regressions were used to identify significant predictors of sobriety length and relapse among users.

RESULTS

The most active tercile of users (n = 1273; mAge = 39 years; 62% male) had average sobriety lengths of 195.5 days and had experienced 4.4 relapses on average since sign-up. Users have over 33,000 unilateral and nearly 14,000 bilateral connections. Users generated over 120,000 unique posts, 507,000 comments, 1617,000 likes, 12,900 check-ins, and 593,000 chats during the period of analysis. Recovery outcomes did not vary between generations, though user activity was significantly different between Generations (Millennials, Generation X, and Baby Boomers), with baby boomers and generation X having higher levels of engagement and connection among all activity markers. Logistic regression results revealed gender (female) was associated with a lower likelihood of reporting loneliness or sexual feelings as an emotional trigger. Linear regressions revealed generation, number of unilateral connections, and number of check-ins was associated with sobriety length, while generation and number of check-ins was associated with number of relapses.

CONCLUSIONS

Active users of Sober Grid engage in several platform features that provide objective data that can supplement self-report data for analysis of recovery outcomes. Most commonly uses features are those similar to features readily available in open-ecosystem social network sites (e.g., Facebook). Prediction model results suggest that demographic factors (e.g., age, gender) and activity factors (e.g., number of check-ins) may be useful in deploying just-in-time interventions to prevent relapse or offer additional social support. Further empirical examination is needed to identify the utility of such interventions, as well as the mechanisms of support that accompany feature use or engagement with the D-RSS.

Characterizing Participation and Perceived Engagement Benefits in an Integrated Digital Behavioral Health Recovery Community for Women: A Cross-Sectional Survey

BACKGROUND

Research suggests that digital recovery support services (D-RSSs) may help support individual recovery and augment the availability of in-person supports. Previous studies highlight the use of D-RSSs in supporting individuals in recovery from substance use but have yet to examine the use of D-RSSs in supporting a combination of behavioral health disorders, including substance use, mental health, and trauma. Similarly, few studies on D-RSSs have evaluated gender-specific supports or integrated communities, which may be helpful to women and individuals recovering from behavioral health disorders.

OBJECTIVE

The goal of this study was to evaluate the SHE RECOVERS (SR) recovery community, with the following 3 aims: (1) to characterize the women who engage in SR (including demographics and recovery-related characteristics), (2) describe the ways and frequency in which participants engage with SR, and (3) examine the perception of benefit derived from engagement with SR.

METHODS

This study used a cross-sectional survey to examine the characteristics of SR participants. Analysis of variance and chi-square tests, as well as univariate logistic regressions, were used to explore each aim.

RESULTS

Participants (N=729, mean age 46.83 years; 685/729, 94% Caucasian) reported being in recovery from a variety of conditions, although the most frequent nonexclusive disorder was substance use (86.40%, n=630). Participants had an average length in recovery (LIR) of 6.14 years (SD 7.87), with most having between 1 and 5 years (n=300). The most frequently reported recovery pathway was abstinence-based 12-step mutual aid (38.40%). Participants reported positive perceptions of benefit from SR participation, which did not vary by LIR or recovery pathway. Participants also had high rates of agreement, with SR having a positive impact on their lives, although this too did vary by recovery length and recovery pathway. Participants with 1 to 5 years of recovery used SR to connect with other women in recovery at higher rates, whereas those with less than 1 year used SR to ask for resources at higher rates, and those with 5 or more years used SR to provide support at higher rates. Lifetime engagement with specific supports of SR was also associated with LIR and recovery pathway.

CONCLUSIONS

Gender-specific and integrated D-RSSs are feasible and beneficial from the perspective of participants. D-RSSs also appear to provide support to a range of recovery typologies and pathways in an effective manner and may be a vital tool for expanding recovery supports for those lacking in access and availability because of geography, social determinants, or other barriers.

Using Participatory Design Methodologies to Co-Design and Culturally Adapt the Spanish Version of the Mental Health eClinic: Qualitative Study

Background

The Mental Health eClinic (MHeC) aims to deliver best-practice clinical services to young people experiencing mental health problems by making clinical care accessible, affordable, and available to young people whenever and wherever they need it most. The original MHeC consists of home page with a visible triage system for those requiring urgent help; a online physical and mental health self-report assessment; a results dashboard; a booking and videoconferencing system; and the generation of a personalized well-being plan. Populations who do not speak English and reside in English-speaking countries are less likely to receive mental health care. In Australia, international students have been identified as disadvantaged compared with their peers; have weaker social support networks; and have higher rates of psychological distress. This scenario is acquiring significant relevance as Spanish-speaking migration is rapidly growing in Australia, and the mental health services for culturally and linguistically diverse populations are limited. Having a Spanish version (MHeC-S) of the Mental Health eClinic would greatly benefit these students.

Objective

We used participatory design methodologies with users (young people aged 16-30 years, supportive others, and health professionals) to (1) conduct workshops with users to co-design and culturally adapt the MHeC; (2) inform the development of the MHeC-S alpha prototype; (3) test the usability of the MHeC-S alpha prototype; (4) translate, culturally adapt, and face-validate the MHeC-S self-report assessment; and (5) collect information to inform its beta prototype.

Methods

A research and development cycle included several participatory design phases: co-design workshops; knowledge translation; language translation and cultural adaptation; and rapid prototyping and user testing of the MHeC-S alpha prototype.

Results

We held 2 co-design workshops with 17 users (10 young people, 7 health professionals). A total of 15 participated in the one-on-one user testing sessions (7 young people, 5 health professionals, 3 supportive others). We collected 225 source documents, and thematic analysis resulted in 5 main themes (help-seeking barriers, technology platform, functionality, content, and user interface). A random sample of 106 source documents analyzed by 2 independent raters revealed almost perfect agreement for functionality (kappa=.86; P<.001) and content (kappa=.92; P<.001) and substantial agreement for the user interface (kappa=.785; P<.001). In this random sample, no annotations were coded for help-seeking barriers or the technology platform. Language was identified as the main barrier to getting medical or psychological services, and smartphones were the most-used device to access the internet. Acceptability was adequate for the prototype’s 5 main elements: home page and triage system, self-report assessment, dashboard of results, booking and video visit system, and personalized well-being plan. The data also revealed gaps in the alpha prototype, such as the need for tailored assessment tools and a greater integration with Spanish-speaking services and communities. Spanish-language apps and e-tools, as well as online mental health information, were lacking.

Conclusions

Through a research and development process, we co-designed and culturally adapted, developed and user tested, and evaluated the MHeC-S. By translating and culturally adapting the MHeC to Spanish, we aimed to increase accessibility and availability of e-mental health care in the developing world, and assist vulnerable populations that have migrated to English-speaking countries.

Treatment of substance use disorders with co-occurring severe mental health disorders

PURPOSE OF REVIEW

To provide an update of treatment for substance use in patients with co-occurring substance use disorders (SUD) and mental health disorders (dual diagnosis) with a focus on both pharmacological and psychosocial interventions.

RECENT FINDINGS

A total of 1435 abstracts were identified, of which we selectively reviewed 43 for this narrative review. There is emerging evidence, both clinical and neurobiological, that clozapine is a more efficacious antipsychotic in treatment of individuals with schizophrenia and SUD. The use of depot atypical antipsychotic paliperidone palmitate in this population is also promising. Although valproate remains the treatment of choice in individuals with bipolar disorder and SUD, present evidence suggests that lithium and quetiapine may not be effective in this population. Naltrexone is the most effective anticraving agent in individuals with severe mental illness (SMI) and comorbid alcohol use disorders. The use of opioid substitution therapy in individuals with SMI and comorbid opioid use disorders is also associated with favorable outcomes. Varenicline shows promise in patients with SMI who smoke tobacco. Psychosocial interventions should be instituted early in the course of treatment. They should ideally be high intensity and based on established therapies used for SUD.

SUMMARY

The paucity of systematic studies in individuals with co-occurring mental health disorders and SUD remains a concern, given the enormous burden that they pose. However, there are a number of studies which have evaluated interventions, both psychosocial and pharmacological, which show promise and can guide clinical practice. VIDEO ABSTRACT: http://links.lww.com/YCO/A49.

An Outcome Study of the CASA-CHESS Smartphone Relapse Prevention Tool for Latinx Spanish-Speakers with Substance Use Disorders

Background: Hispanic/Latinx persons with alcohol and other drug disorders (AOD) have limited access to culturally competent continuity of care. To address this, the evidence-based smartphone recovery application Addiction-Comprehensive Health Enhancement Support System (A-CHESS) was translated and adapted for Latinx Spanish-speakers with AOD, developing CASA-CHESS. Objectives: This study examined the AOD and mental health outcomes for Latinx Spanish-speaking clients using the CASA-CHESS smartphone tool over a 6-month period, post-residential treatment. This single group, pre-post study design included seventy-nine male and female Spanish-speaking Latinx clients, equipped with CASA-CHESS as they completed residential AOD treatment. Primary outcome measures at baseline and 6-month follow-up included substance use and other mental health symptoms. Results: While over 70% of the sample reported past heroin use and alcohol use, clients had low baseline rates of substance use, depression and anxiety and elevated social support scores as they graduated from residential treatment. Overall participants maintained their relatively low baseline rates during the 6-month post-residential period while using the CASA-CHESS relapse prevention tool. Those who discontinued using CASA-CHESS within the first 4 months after leaving residential treatment reported higher rates of substance use as well as anxiety and depression symptoms than those using it for 4 or more months, suggesting that continued use of CASA-CHESS may contribute to maintenance of successes gained in treatment. Conclusions/Importance: CASA-CHESS may reduce the risk of relapse for Latinx Spanish-speakers following residential services and extend needed access to culturally and linguistically competent aftercare services for those with AOD.

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.