Perceived Normalization of Drug Trafficking and Adolescent Substance Use on the US-Mexico Border.

Background: Historically marginalized youth are at risk for daily substance use. Daily use may be associated with social and environmental factors. Methods: In March 2018, we surveyed primarily Latino adolescents ages 14-18 who lived on the US-Mexico border and assessed associations between daily substance use, neighborhood stress, border community and immigration stress, and family support. Results: Of 443 surveyed adolescents, 41 (9%) reported daily use. Those who used daily were more likely to be older, identify as male, and reported lower social support and higher neighborhood and border community stress compared to those who did not use daily. Perceived neighborhood stress (OR = 1.95, 95% CI 1.37-2.80) and border community and immigration stress (OR = 1.55, 95% CI 1.12-2.02) were associated with increased odds of daily substance use. Discussion: Latino adolescents who live near the US-Mexico border experience unique socioenvironmental stress which is associated with daily substance use.

Conversational assessment using artificial intelligence is as clinically useful as depression scales and preferred by users.

BACKGROUND: Depression is prevalent, chronic, and burdensome. Due to limited screening access, depression often remains undiagnosed. Artificial intelligence (AI) models based on spoken responses to interview questions may offer an effective, efficient alternative to other screening methods. OBJECTIVE: The primary aim was to use a demographically diverse sample to validate an AI model, previously trained on human-administered interviews, on novel bot-administered interviews, and to check for algorithmic biases related to age, sex, race, and ethnicity. METHODS: Using the Aiberry app, adults recruited via social media (N = 393) completed a brief bot-administered interview and a depression self-report form. An AI model was used to predict form scores based on interview responses alone. For all meaningful discrepancies between model inference and form score, clinicians performed a masked review to determine which one they preferred. RESULTS: There was strong concurrent validity between the model predictions and raw self-report scores (r = 0.73, MAE = 3.3). 90 % of AI predictions either agreed with self-report or with clinical expert opinion when AI contradicted self-report. There was no differential model performance across age, sex, race, or ethnicity. LIMITATIONS: Limitations include access restrictions (English-speaking ability and access to smartphone or computer with broadband internet) and potential self-selection of participants more favorably predisposed toward AI technology. CONCLUSION: The Aiberry model made accurate predictions of depression severity based on remotely collected spoken responses to a bot-administered interview. This study shows promising results for the use of AI as a mental health screening tool on par with self-report measures.

Opportunities to expand postpartum support for those in recovery from opioid use disorder: Results from a qualitative study.

Introduction: Over the past two decades the national prevalence of opioid use disorder (OUD) during pregnancy has increased more than 600%. Managing recovery from OUD during the postpartum period can be particularly challenging. Thus, we sought to identify ways to expand perinatal OUD treatment to ultimately reduce risk of postpartum return to opioid misuse. Methods: We conducted in-depth semi-structured interviews with pregnant or postpartum (i.e., gave birth within the past year) mothers who have OUD, as well as with professionals who work with this population. Interviews were audio-recorded, transcribed, and coded for themes using Dedoose software using an eco-social framework. Results: Participants included 7 mothers (median age 32 years old; 100% receiving treatment for OUD) and 11 professionals (average of 12.5 years in the field; n=7 healthcare providers, n=4 child safety caseworkers). A total of 10 major themes emerged in three levels. First, at an individual level themes included mental health, personal responsibility, and individual agency. Second, at the inter-individual level themes included support from friends and family, and other sources of support. Next, at the systems/institutional level themes included culture of healthcare systems, an ill-equipped healthcare system, social determinates of health, and continuum of care. Finally, a theme identified across all three levels included keeping mother and baby together. Conclusions: Several opportunities to enhance the support and clinical care of OUD during the perinatal period were identified. Additional work is needed to explore how these themes may be incorporated into existing programs and/or the development of new interventions.