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

AI-based analysis of social media language predicts addiction treatment dropout at 90 days

The reoccurrence of use (relapse) and treatment dropout is frequently observed in substance use disorder (SUD) treatment. In the current paper, we evaluated the predictive capability of an AI-based digital phenotype using the social media language of patients receiving treatment for substance use disorders (N = 269). We found that language phenotypes outperformed a standard intake psychometric assessment scale when predicting patients' 90-day treatment outcomes. We also use a modern deep learning-based AI model, Bidirectional Encoder Representations from Transformers (BERT) to generate risk scores using pre-treatment digital phenotype and intake clinic data to predict dropout probabilities. Nearly all individuals labeled as low-risk remained in treatment while those identified as high-risk dropped out (risk score for dropout AUC = 0.81; p < 0.001). The current study suggests the possibility of utilizing social media digital phenotypes as a new tool for intake risk assessment to identify individuals most at risk of treatment dropout and relapse.

Temporal association of pre-pandemic perceived social support with psychological resilience and mental well-being during the COVID-19 pandemic among people with a history of injection drug use

BACKGROUND

There are limited data on whether modifiable social factors foster psychological resilience and mental well-being among people who use drugs following Big Events. We examined the temporal association of pre-pandemic perceived social support with psychological resilience and negative mental health symptoms during the COVID-19 pandemic among people with a history of injection drug use.

METHODS

Between June and September 2020, we conducted a telephone survey among 545 participants in the AIDS Linked to the IntraVenous Experience (ALIVE) study: a community-based cohort of adults with a history of injection drug use. Leveraging data from study visits in 2018-early 2020, associations of pre-pandemic perceived social support with psychological resilience scores (range=1-5) and the probability of negative mental health symptoms during the pandemic were assessed using multivariable linear and modified Poisson regression models, respectively.

RESULTS

Participants' median age was 58 years, 38.2% were female, 83.3% identified as Black, and 30.3% were living with HIV. During the pandemic, 14.5% had low (<3) resilience scores, 36.1% experienced anxiety, and 35.8% reported increased loneliness. Compared to participants in the lowest tertile of pre-pandemic social support, participants in the highest tertile had higher mean resilience scores (β = 0.27 [95% CI = 0.12, 0.43]), a lower probability of anxiety (prevalence ratio [PR] = 0.71 [95% CI = 0.52, 0.96]), and a lower probability of increased loneliness (PR = 0.62 [95% CI = 0.45, 0.84]).

CONCLUSIONS

Pre-pandemic perceived social support was associated with greater psychological resilience and generally better mental well-being during the pandemic. Interventions that improve social support may foster psychological resilience and protect the mental well-being of people who use drugs, especially during periods of social disruption.

The Generation Gap Revisited: Generational Differences in Mental Health, Maladaptive Coping Behaviors, and Pandemic-Related Concerns During the Initial COVID-19 Pandemic

The purpose of this study was to assess differences in mental health symptoms, pandemic-related concerns, and maladaptive coping behaviors among adults in the United States across generations during the initial period of the COVID-19 pandemic. A social media campaign was used to recruit 2696 U.S. individuals to participate in an online survey in April 2020, assessing various validated psychosocial factors, including major depressive disorder, generalized anxiety disorder (GAD), perceived stress, loneliness, quality of life, and fatigue, along with pandemic-specific concerns and changes in alcohol use and substance use. Participants were grouped based on generation status (Gen Z, Millennial, Gen X, and Baby Boomer) and statistical comparisons were conducted based on demographics, psychosocial factors, pandemic-related concerns, and substance use. During the initial period of the COVID-19 pandemic, the younger cohorts (Gen Z and Millennials) rated significantly worse on mental health indices, including major depression, GAD, perceived stress, loneliness, quality of life, and fatigue. Further, the participants in the Gen Z and Millennial generational groups exhibited greater increase in maladaptive coping with substance use, specifically alcohol use and increased use of sleep aids. Our results indicate that during the initial period of the COVID-19 pandemic, members of the Gen Z and Millennial generational cohorts were considered a psychologically vulnerable population due to their mental health and maladaptive coping behaviors. Improving access to mental health resources during early stages of a pandemic is an emerging public health concern.

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.

Quality of life among people who use drugs living in poor urban communities in the Philippines

BACKGROUND

The quality of life (QOL) and mental health of people who use drugs (PWUD) in the Philippines, especially those living in poor urban communities, are highly concerning due to the situations surrounding drug use and the ongoing hard-line antidrug policy. This study aimed to investigate the QOL and mental health status of PWUD, compare them with a comparison group with no history of drug use, and identify factors associated with QOL among Filipino PWUD.

METHODS

A cross-sectional study was conducted with recruitment from a community-based rehabilitation programme and poor urban communities in Muntinlupa in 2018. QOL was measured using the WHOQOL-BREF, while psychological distress and posttraumatic stress disorder (PTSD) were measured using the Kessler Psychological Distress Scale (K-6) and the Primary Care PTSD Screen for DSM-5 (PC-PTSD-5), respectively. Multivariable linear regressions with each WHOQOL-BREF domain as a dependent factor were conducted to establish three predictions: age- and gender-adjusted QOL means, factors associated with QOL among PWUD, and interaction of lifetime drug use with each covariate.

RESULTS

In total, 272 PWUD and 402 comparison participants were recruited. Most PWUD were current drug users (53%), primarily of methamphetamine (70%). Among PWUD, the prevalence of moderate to severe psychological distress was 70%, and probable PTSD was 28%-both rates higher than those among the comparison group. All four QOL domain scores (physical, psychological, social, and environmental) of PWUD were lower than those of the comparison group. Multivariable regressions showed that psychological distress, current drug use, selling drugs, experiencing discrimination, and being never-married were associated with lower QOL. Higher individual income, household resources, social activity participation, and service use for drug use problems were associated with higher QOL among PWUD. Stratified and interaction analyses revealed that the QOL of PWUD was more sensitive to changes in individual income relative to the QOL of comparison group.

CONCLUSION

A comprehensive intervention addressing psychological distress reduction, economic empowerment, and social inclusion-complementary to abstinence-oriented programmes-may improve the well-being of Filipino PWUD.

Online digital recovery support services: An overview of the science and their potential to help individuals with substance use disorder during COVID-19 and beyond

Background

The COVID-19 pandemic and related social distancing public health recommendations will have indirect consequences for individuals with current and remitted substance use disorder (SUD). Not only will stressors increase risk for symptom exacerbation and/or relapse, but individuals will also have limited service access during this critical time. Individuals with SUD are using free, online digital recovery support services (D-RSS) that leverage peer-to-peer connection (i.e., social-online D-RSS) which simultaneously help these individuals to access support and adhere to public health guidelines. Barriers to SUD treatment and recovery support service access, however, are not unique to the COVID-19 epoch. The pandemic creates an opportunity to highlight problems that will persist beyond its immediate effects, and to offer potential solutions that might help address these long-standing, systemic issues. To help providers and other key stakeholders effectively support those interested in, or who might benefit from, participation in free, social-online D-RSS, this review outlines the following: 1) theories of expected therapeutic benefits from, and potential drawbacks of social-online D-RSS participation; 2) a typology that can be used to describe and classify D-RSS; 3) a D-RSS “case study” to illustrate how to apply the theory and typology; 4) what is known empirically about social-online D-RSS; and 5) whether and how to engage individuals with these online resources.

Method

Narrative review combining research and theory on both in-person recovery supports and social-online D-RSS.

Results

Studies examining in-person recovery support services, such as AA and other mutual-help organizations, combined with theory about how social-online D-RSS might confer benefit, suggest these digital supports may engage individuals with SUD and mobilize salutary change in similar ways. While people may use in-person and digital supports simultaneously, when comparing the two modalities, communication science and telemedicine group therapy data suggest that D-RSS may not provide the same magnitude of benefit as in-person services. D-RSS can be classified based on the a) type of service, b) type of platform, c) points of access, and d) organizations responsible for their delivery. Research has not yet rigorously tested the effectiveness of social-online D-RSS specifically, though existing data suggest that those who use these services generally find their participation to be helpful. Content analyses suggest that these services are likely to facilitate social support and unlikely to expose individuals to harmful situations.

Conclusions

When in-person treatment and recovery support services are limited, as is the case during the COVID-19 pandemic, expected therapeutic benefits and emerging data, taken together, suggest providers, mentors, and other community leaders may wish to refer individuals with current and remitted SUD to free, social-online D-RSS. Given the array of available services in the absence of best practice guidelines, we recommend that when making D-RSS referrals, stakeholders familiarize themselves with theorized benefits and drawbacks of participation, use a typology to describe and classify services, and integrate current empirical knowledge, while relying on trusted federal, academic, and national practice organization resource lists.

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Social-online, digital recovery support services (D-RSS) may address systemic service access barriers highlighted by COVID-19

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To aid provider and other stakeholder practices, we review relevant D-RSS theory and research

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Theory suggests D-RSS may mobilize salutary mechanisms of behavior change, though data also point to potential challenges

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Emerging D-RSS research is promising, though rigorous studies of their effectiveness have not yet been conducted

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The typology and resource lists from organizations provided here may be used for those who wish to make D-RSS referrals