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The graying of the world's population is producing dramatic age trends that are creating both challenges and opportunities. Major transitions in later life too often lead to social isolation, depression, and illness. The older adults at Hope Meadows, an intentional intergenerational community in the United States, seem to be defying a degenerative model of aging. They have found ways to overcome pain, discomfort, and disability.Using an interpretive ethnographic framework, we examined the connections between meaningful intergene [ABSTRACT FROM AUTHOR]

Research on ethnic minority populations has shown them to be undertreated, underdiagnosed and perceived as more psychopathological in comparison to the Caucasian population. This study aimed to assess ethnic variation of self-perceived psychopathology in a population of incarcerated youths. The Youth Self-Report (YSR) was completed by 5964 incarcerated adolescents (95% male; mean age = 16.5) in the California Youth Authority (CYA) system. Overall, ethnic minorities (African-Americans and Hispanics) self-report lower levels of psychiatric problems than Caucasians. These differences were more pronounced in males than females. Further research is needed to better ascertain the reasons for these differences. [ABSTRACT FROM AUTHOR]

Importance: Pediatric emergency department (ED) visits for substance use (SU) increased during COVID-19. Better understanding of trends associated with SU ED visits among youths with a chronic medical condition (CMC) is needed to target SU screening, prevention, and intervention efforts in this population., Objective: To describe trends in pediatric SU ED visits before and during COVID-19 among youths in the US with and without CMCs and by race and ethnicity., Design, Setting, and Participants: In this cohort study, data were obtained from 47 US children's hospital EDs in the Pediatric Health Information System (PHIS) between March 1, 2018, and March 1, 2022. The cohort included patients aged 10 to 18 years. Data analysis occurred from November 2022 to February 2023., Exposures: ED visit occurrence before or during the COVID-19 pandemic and with or without the presence of a CMC. CMCs included chronic conditions (CCs) and complex CCs (CCCs)., Main Outcomes and Measures: The primary outcome was the number of visits for an SU diagnosis based on diagnostic codes for youths with and without CMCs. Trends were assessed using logistic regression, adjusting for covariates and center effect., Results: The sample included 3 722 553 ED visits from March 1, 2018, to March 1, 2022 (1 932 258 aged 14-18 years [51.9%]; 1 969 718 female [52.9%]; 961 121 Hispanic [25.8%]; 977 097 non-Hispanic Black [26.2%]; 1 473 656 non-Hispanic White [39.6%]). Of all visits, 1 016 913 (27.3%) were youths with CCs and 367 934 (9.9%) were youths with CCCs. Youth SU ED visits increased for all groups during COVID-19. The SU ED visits increased by 23% for youths with CCs (21 357 visits [4.0%] to 23 606 visits [4.9%]), by 26% for youths with CCCs (3594 visits [1.9%] to 4244 visits [2.4%]), and by 50% for youths without CCs (4997 visits [0.4%] to 5607 visits [0.6%]). Furthermore, compared with youths without CCs, youths with CCs had consistently larger odds of SU than the other groups before COVID-19 (adjusted odds ratio, 9.74; 99% CI, 9.35-10.15) and during COVID-19 (adjusted odds ratio, 8.58; 99% CI, 8.25-8.92). The interaction between race and ethnicity and CMCs was significant (P for interaction < .001)., Conclusions and Relevance: The findings of this cohort study suggest that providing SU services to all youths during times of societal crises is critical, but particularly for youths with CMCs who experience higher potential health impacts from SU given their medical concerns.

Background: Adolescents with chronic medical conditions (CMC) use alcohol and marijuana at levels equal to or even greater than their peers without CMC and are more likely to initiate substance use at 14 years or younger. Approximately 33% of adolescents with CMC binge drink alcohol and 20% use marijuana. When using substances, adolescents with CMC are at elevated risk for problem use and adverse consequences given their medical conditions. Although there has recently been progress integrating substance use services into adult hospitals, there has been almost no implementation of standardized substance use services into pediatric hospitals for adolescents with CMC. Screening, Brief Intervention, and Referral to Treatment (SBIRT) for adolescents is an evidence-based, public health approach to promote the early detection and intervention of risky alcohol use in high-risk youth. This paper describes a study protocol combining two leading implementation science frameworks, the Consolidated Framework for Implementation Research (CFIR) and the Health Equity Implementation framework (HEIF), to engage pediatric hospital partners (hospital staff and clinicians, patients with CMC, and caregivers) to identify and specify contextual determinants of SBIRT implementation, which can be used to derive implementation strategies to optimize SBIRT adoption, reach, and fidelity., Method: This study will use semi-structured interviews and focus groups with pediatric hospital partners (e.g., hospital staff and clinicians, adolescent patients, and caregivers) to identify SBIRT implementation determinants, using semi-structured interview and focus group guides that integrate CFIR and HEIF dimensions., Discussion: Understanding implementation determinants is one of the first steps in the implementation science process. The use of two determinant frameworks highlighting a comprehensive set of determinants including health equity and justice will enable identification of barriers and facilitators that will then map on to strategies that address these factors. This study will serve as an essential precursor to further work evaluating the feasibility of and the degree of engagement with SBIRT among this vulnerable pediatric population., (© 2024. The Author(s).)

Transferring and replicating predictive algorithms across healthcare systems constitutes a unique yet crucial challenge that needs to be addressed to enable the widespread adoption of machine learning in healthcare. In this study, we explored the impact of important differences across healthcare systems and the associated Electronic Health Records (EHRs) on machine-learning algorithms to predict mental health crises, up to 28 days in advance. We evaluated both the transferability and replicability of such machine learning models, and for this purpose, we trained six models using features and methods developed on EHR data from the Birmingham and Solihull Mental Health NHS Foundation Trust in the UK. These machine learning models were then used to predict the mental health crises of 2907 patients seen at the Rush University System for Health in the US between 2018 and 2020. The best one was trained on a combination of US-specific structured features and frequency features from anonymized patient notes and achieved an AUROC of 0.837. A model with comparable performance, originally trained using UK structured data, was transferred and then tuned using US data, achieving an AUROC of 0.826. Our findings establish the feasibility of transferring and replicating machine learning models to predict mental health crises across diverse hospital systems., (© 2024. The Author(s).)

The primary aim is to assess the implementation of an eight-session, group therapy pilot for Black and Latina transgender women in Chicago in terms of implementation outcomes regarding intervention effectiveness, acceptability, appropriateness, and feasibility. The Exploration Preparation Implementation Sustainment (EPIS) framework guided implementation processes, including community engagement as an implementation strategy, and an implementation taxonomy was used to evaluate outcomes of acceptability, appropriateness, and feasibility, in addition to intervention effectiveness regarding anxiety and community connectedness. Two rounds of the pilot were completed in 2020, during the COVID-19 pandemic, at a community-based organization serving LGBTQ+ (lesbian, gay, bisexual, transgender, queer/questioning) youth on Chicago's West Side. Participants ( N = 14) completed a baseline and postintervention assessment and evaluations after each of eight intervention modules. Descriptive statistics show improvement across measures of anxiety and community connectedness, and high mean scores across domains of acceptability, appropriateness, and feasibility. Pilot findings indicate intervention effectiveness, acceptability, appropriateness, and feasibility to address mental health and social support of Black and Latina transgender women. Additional resources are needed for transgender community-engaged mental health programs and research to establish core and adaptable intervention elements, scaled-up evidence for clinical effectiveness, and, most importantly, to improve mental health outcomes and the sustainability of such interventions.

Objectives . The study evaluates the prevalence of risky weapon-carrying behaviors (WCB) among YBM in Chicago and examines their associations with various forms of direct and vicarious violence-youth violence, community violence, and partner abuse-as well as substance use and substance-related aggression. Methods . We performed Pearson Chi-square tests and multivariable negative binomial regression analysis on cross-sectional data from 266 violence-involved young Black males (YBM) in Chicago. This data was collected using a modified version of the Centers for Disease Control and Prevention's Youth Risk Behavior Survey. Our dependent variable, weapon-carrying behavior, was measured by the frequency of weapon carrying, including items such as guns, knives, and clubs, over the past year. Results . In a sample of 266 YBM (ages 15-24, 99% African American), the mean age was 18.32 ± 3.10 years, and 42.7% had some high school education. The 30-day weapon-carrying incidence was 17.3%, with 19.1% threatening someone with a weapon ≥ 2-3 times in the past year. About one-third engaged in partner violence (30.4%), primarily psychological (36.7%) and physical (28.3%) abuse. Approximately 64.8% experienced some form of violence or aggression in the past year, and 76.4% witnessed community violence. Over 20.8% reported binge drinking, and 43.6% engaged in illicit drug use, with 37.2% participating in or initiating violent acts following alcohol or drug consumption. Negative binomial regression results revealed that exposure to direct and vicarious violence, along with substance use, significantly increased the likelihood of carrying weapons. Specific risk factors such as recent threats or injuries, witnessing violence, involvement in physical altercations, and substance-related aggression significantly predict WCB. Age and relationship dynamics also critically influence these behaviors. Additionally, for each year of age, the risk for WCB increased by 22%. Conclusions . This study identified significant associations between different types of violence, substance use, and risky WCB among YBM in Chicago. The results underscore the need for comprehensive, culturally sensitive, multifaceted interventions addressing both individual and psychosocial factors behind risky WCB. These interventions are crucial for reducing gun violence and improving urban community safety, offering vital data to inform policies and interventions for youth protection in similar environments.

Young Black men (YBM) disproportionately face the most severe forms and consequences of youth violence (YV) and substance use disorders, but are less likely to access and be retained in services for these high-risk behaviors. Investigating service uptake disparities and the role of barrier-reducing intervention delivery models is essential; so is understanding the service needs and preferences of YBM. This study explores the experiences of violence-involved and substance-disordered YBM and service providers working with them from racially and economically diverse communities, focusing on their service needs and preferences. Additionally, we examine the potential benefits and drawbacks of digital health interventions in addressing crucial structural barriers to service access and promoting equity for Black boys in high-violence environments. Individual interviews were conducted with 16 YBM (selected from a larger pool of 300 participants from a pilot study) and 7 service providers (four females, three males). Data analysis utilized an Interpretive Description (ID) approach guided by the Phenomenological Variant of Ecological Systems Theory (PVEST). Four themes emerged: (1) Revolving Doors and Histories of Violence; (2) Benefits of Violence: "You Do Something to Me, I Do Something to You"; (3) Positive and Negative Perceptions of Violence and Substance Use Prevention Programs; and (4) Need for Equity-Focused and Barrier-Mitigating Digital Health Interventions. Our findings identified avoidance mechanisms utilized by YBM at both individual and community levels and highlighted perceptions of existing community-based programs and digital interventions as crucial tools for mitigating barriers to care. This study also confirms the prevalence of critical service gaps and program uptake issues, even in cities with abundant programs. Thus emphasizing the need for equity-focused interventions co-designed with and for YBM in high-violence and substance use contexts., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interests with respect to the authorship and/or publication of this article.

Objective: Pediatric primary care (PPC) is a common treatment site for pediatric mental health, but it is currently unable to meet the needs of all teen patients, particularly those with minoritized identities and/or marginalized experiences. Digital mental health (DMH) low-intensity treatments (LITs) can increase mental health screening and care capacity in PPC, but how this is done successfully without burdening providers, patients, or families is unclear. This paper presents a pre-implementation study aimed at understanding the implementation context (PPCs in Chicago, IL) for a specific DMH LIT., Method: Using a mixed-methods design, quantitative data from an online survey of providers assessed current DMH practices in PPC, and qualitative interviews with Pediatricians and Pediatric Psychologists examined implementation determinants for a specific DMH LIT. Quantitative data were analyzed using descriptive statistics, and interviews were analyzed using rapid qualitative assessment., Results: Survey reports (n = 105) and interviews (n = 6) indicated low current use of DMH. Providers in PPC clinics voiced multiple reasons for low usage and low perceived feasibility, including: Consolidated Framework for Implementation Research (CFIR) Inner Setting Domain (PPC clinic workflow, responsibility and ethical considerations, patient privacy and confidentiality), CFIR Outer Setting Domain (hospital and healthcare system factors), CFIR Innovation Domain (DMH design), and a cross-cutting theme of safety., Conclusions: Provider-reported low feasibility for integrating DMH in PPC is a call to action to partner with interdisciplinary colleagues and identify how such settings can ethically and seamlessly deliver digital evidence-based and accessible screening and care prior to implementation., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society of Pediatric Psychology.)

Background and Aims: Accurate case discovery is critical for disease surveillance, resource allocation and research. International Classification of Disease (ICD) diagnosis codes are commonly used for this purpose. We aimed to determine the sensitivity, specificity and positive predictive value (PPV) of ICD-10 codes for opioid misuse case discovery in the emergency department (ED) setting., Design and Setting: Retrospective cohort study of ED encounters from January 2018 to December 2020 at an urban academic hospital in the United States. A sample of ED encounters enriched for opioid misuse was developed by oversampling ED encounters with positive urine opiate screens or pre-existing opioid-related diagnosis codes in addition to other opioid misuse risk factors., Cases: A total of 1200 randomly selected encounters were annotated by research staff for the presence of opioid misuse within health record documentation using a 5-point scale for likelihood of opioid misuse and dichotomized into cohorts of opioid misuse and no opioid misuse., Measurements: Using manual annotation as ground truth, the sensitivity and specificity of ICD-10 codes entered during the encounter were determined with PPV adjusted for oversampled data. Metrics were also determined by disposition subgroup: discharged home or admitted., Findings: There were 541 encounters annotated as opioid misuse and 617 with no opioid misuse. The majority were males (54.4%), average age was 47 years and 68.5% were discharged directly from the ED. The sensitivity of ICD-10 codes was 0.56 (95% confidence interval [CI], 0.51-0.60), specificity 0.99 (95% CI, 0.97-0.99) and adjusted PPV 0.78 (95% CI, 0.65-0.92). The sensitivity was higher for patients discharged from the ED (0.65; 95% CI, 0.60-0.69) than those admitted (0.31; 95% CI, 0.24-0.39)., Conclusions: International Classification of Disease-10 codes appear to have low sensitivity but high specificity and positive predictive value in detecting opioid misuse among emergency department patients in the United States., (© 2023 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.)

Background: Recent data show high school students from racial and ethnic minority (REM) backgrounds in the United States confront a twofold challenge, marked by the highest rates of firearm-related homicides since 1994 and increased youth substance use. The pandemic increased online and telehealth usage opportunities for at-risk REM youth. Therefore, this study investigated (1) the frequency and prevalence of co-occurring youth violence and substance use among REM adolescents, (2) racial/ethnic, age, and natal sex (as gender data was not collected) differences in patterns and trends in co-occurring youth violence and substance use among REM adolescents, and (3) the relationship between these syndemic issues and REM adolescent mental telehealth use during the pandemic., Methods: Data was sourced from a nationally representative sample of U.S. 9th-12th students (n = 3241) who completed the CDC's 2021 Adolescent and Behavioral Experiences Survey (ABES). Using univariate (frequency distribution), bivariate (Pearson's chi-squared test), and multivariate logistic regression models, we examined seven violence victimization outcomes, four violence perpetration outcomes, two family violence outcomes, and six substance use outcomes and their associations with telehealth use for mental health (dependent variable) among REM adolescents., Results: This sample was primarily female (50.7%), Black or African American (48.3%), Hispanic or Latinx (20.6%), and identified as straight or heterosexual (69.5%). The study found significant sex-based differences in violence perpetration/victimization, substance use, and telehealth use for mental health. In general, mental telehealth use was significantly associated with substance use among REM adolescents (cigarette smoking, vaping, alcohol, marijuana, prescription meds, and illicit drug use) (p-value = .001). Mental telehealth use was also significantly associated with all peer and family violence outcomes (p < 0.001). Controlling for covariates, gun carrying was associated with 4.8 times higher odds of using mental telehealth. Students in a physical fight or carrying a weapon (gun, knife, or club) on school property had 2.45 times and 8.09 times the odds of utilizing mental telehealth. Bullied students were 2.5 times more likely to use mental telehealth (p-value < 0.05). Illicit drug use (cocaine, heroin, methamphetamines, and ecstasy) was associated with a higher likelihood of mental telehealth use (AOR = 1.3, p-value = .05)., Conclusion: Our results suggest crucial insights for shaping violence and substance use prevention strategies, with implications for the future of online and telehealth behavioral services. Mental telehealth help-seeking emerges as a crucial avenue for supporting adolescents affected by violence and substance use, especially when they face obstacles to accessing traditional services. It can work in tandem with in-person services to address these challenges., (© 2024. W. Montague Cobb-NMA Health Institute.)

Purpose: To explore barriers and facilitators to completing scheduled outpatient appointments at an urban academic hospital-based ophthalmology department., Methods: Potential participants were stratified by neighborhood Social Vulnerability Index (SVI) (range, 0-1.0, higher scores indicate greater vulnerability), and semistructured interviews were conducted with individuals 18 years and older with an SVI of greater than 0.61 (n = 17) and providers delivering care in the General Eye Clinic of the University of Illinois Chicago (n = 8). Qualitative analysis informed by human-centered design methods was conducted to classify barriers and facilitators into three domains of the Consolidated Framework for Implementation Research: outer setting, inner setting, and characteristics of individuals., Results: There were four main themes-transportation, time burden, social support, and economic situation-all of which were within the outer setting of the Consolidated Framework for Implementation Research; transportation was most salient. Although providers perceived health literacy as a barrier affecting motivation, patients expressed a high motivation to attend visits and felt well-educated about their condition., Conclusions: A lack of resources outside of the health system presents significant barriers for patients from neighborhoods with high SVI. Future efforts to improve adherence should focus on resource-related interventions in the outer setting. Improving access to eye care will require community-level interventions, particularly transportation., Translational Relevance: Understanding the barriers and facilitators within the Consolidated Framework for Implementation Research provides useful guidance for future interventions, specifically to focus future efforts to improve adherence on resource-related interventions.

Background: Adolescence is a vulnerable developmental period, characterized by high rates of mental health concerns, yet few adolescents receive treatment. Public libraries support adolescents by providing them with access to teen programming, technological resources, and have recently been providing mental health services. Digital mental health (DMH) services may help libraries provide scalable mental health solutions for their adolescent patrons and could be well positioned to address the mental health needs of historically underrepresented racial and ethnic (HURE) adolescents; however, little research has been conducted on the compatibility of DMH services with adolescent patron mental health needs or resource needs of library workers supporting them., Methods: The research team formed a partnership with a public library, which serves a large HURE adolescent population. We conducted needs assessment and implementation readiness interviews with 17 library workers, including leadership, librarians, and workers with specialized areas of practice. Interview questions focused on library infrastructure, as well as library needs and preferences around the design and implementation of DMH services for adolescents. We used the Consolidated Framework for Implementation Research as guiding implementation determinant framework to code and analyze the interview transcripts., Results: Our findings revealed library workers play an important role in guiding patrons to desired resources and share a goal of implementing adolescent DMH resources into the library and elevating marginalized adolescents' voices. Existing library resources, such as the library's role as a safe space for adolescents in the community, close relationships with external and community organizations, and availability of no-cost technological resources, could help facilitate the implementation of DMH services. Barriers related to community buy-in, mental health stigma, and library worker confidence in supporting adolescent mental health could affect service implementation., Conclusions: Our findings suggest public libraries are highly promising settings to deploy DMH services for adolescents. We identified important determinants that may impact the implementation of DMH services in public library settings. Special considerations are needed to design services to meet the mental health needs of HURE adolescent populations and those adolescents' most experiencing health inequities., Competing Interests: AK has accepted consulting fees from Woebot, Inc. DM has accepted honoraria and consulting fees from Apple, Inc., Otsuka Pharmaceuticals, Pear Therapeutics, and the One Mind Foundation, royalties from Oxford Press, and has an ownership interest in Adaptive Health, Inc. AG, VH, and RS are employed by the Oak Park Public Library. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2023 Knapp, Hersch, Wijaya, Herrera, Kruzan, Carroll, Lee, Baker, Gray, Harris, Simmons, Kour Sodhi, Hannah, Reddy, Karnik, Smith, Brown and Mohr.)

Trauma is nearly ubiquitous among women experiencing homelessness (WEH). WEH develop post-traumatic stress disorder (PTSD) at rates far exceeding the general population. The consequences of untreated PTSD can cascade, exacerbating existing physical, mental, and social health inequities, placing this population at risk for disproportionate biopsychosocial health adversity. Despite the outsized impact of PTSD, WEH are less likely to access or receive appropriate trauma-focused services. Understanding the unique and intersecting factors that contribute to the disproportionate PTSD toll on WEH may elucidate risk and protective factors, as well as possible intervention pathways to address the disparate trauma burden. This study employed a qualitative descriptive approach to develop understanding of the determinants of trauma risk, exposure, and outcomes among WEH. Semi-structured interviews were completed with 10 WEH, six shelter staff, four mental health professionals. Six deductively biopsychosocial model-derived themes were identified, alongside supporting categories. Themes/categories highlighted the role of biological, psychological, and socio-environmental determinants in shaping risk for and actualization of traumatic events and adverse outcomes. Trauma played an outsized role in shaping the health of WEH participants in this study, and the need for and interest in tailored trauma screening, treatment, psychoeducation options was highlighted. Recursive relationships between biopsychosocial determinants and trauma impact were identified. Participants emphasized population tailored trauma-focused interventions, specifically brief co-designed and community partner implemented interventions that address substance use behaviors, while leveraging the strengths of WEH. Addressing the marked trauma burden in WEH shows promise in promoting measurable biopsychosocial health improvements in this resilient yet overlooked population.

Cannabis and anxiety are both rising issues that impact young people. This review seeks to explore the association between anxiety and cannabis in adolescents and young adults (AYA). A database search was run retrospectively from July 2020 through calendar year 2013. Articles had to present outcomes examining cannabis use and symptoms of anxiety, be written in English, contain samples with ≥ 50% who are age 25 or younger, and be published in a peer-reviewed journal. Forty-seven studies were identified that examined the relationship between anxiety and cannabis use. Twenty-three studies found a positive association that greater anxiety among AYA was associated with greater cannabis use. In contrast, seven studies found a negative association that greater anxiety was related to less cannabis use. And finally, 17 studies found no clear association between anxiety and cannabis use. Further research is needed to better understand the relationship between anxiety and cannabis use., (© 2021. The Author(s).)

Background: Black boys and men from disinvested communities are disproportionately survivors and perpetrators of youth violence. Those presenting to emergency departments with firearm-related injuries also report recent substance use. However, young Black men face several critical individual and systemic barriers to accessing trauma-focused prevention programs. These barriers contribute to service avoidance, the exacerbation of violence recidivism, substance use relapse, and a revolving-door approach to prevention. In addition, young Black men are known to be digital natives. Therefore, technology-enhanced interventions offer a pragmatic and promising opportunity to mitigate these barriers, provide vital life skills for self-led behavior change, and boost service engagement with vital community resources., Objective: The study aims to systematically adapt and pilot-test Boosting Violence-Related Outcomes Using Technology for Empowerment, Risk Reduction, and Life Skills Preparation in Youth Based on Acceptance and Commitment Therapy (BrotherlyACT), a culturally congruent, trauma-focused digital psychoeducational and service-engagement tool tailored to young Black men aged 15-24 years. BrotherlyACT will incorporate microlearning modules, interactive safety planning tools for risk assessment, goal-setting, mindfulness practice, and a service-engagement conversational agent or chatbot to connect young Black men to relevant services., Methods: The development of BrotherlyACT will occur in 3 phases. In phase 1, we will qualitatively investigate barriers and facilitators influencing young Black men's willingness to use violence and substance use prevention services with 15-30 young Black men (aged 15-24 years) who report perpetrating violence and substance use in the past year and 10 service providers (aged >18 years; any gender; including health care providers, street outreach workers, social workers, violence interrupters, community advocates, and school staff). Both groups will be recruited from community and pediatric emergency settings. In phase 2, a steering group of topic experts (n=3-5) and a youth and community advisory board comprising young Black men (n=8-12) and service providers (n=5-10) will be involved in participatory design, alpha testing, and beta testing sessions to develop, refine, and adapt BrotherlyACT based on an existing skills-based program (Achieving Change Through Values-Based Behavior). We will use user-centered design principles and the Assessment, Decision, Administration, Production, Topical, Experts, Integration, Training, and Testing framework to guide this adaptation process (phase 2). In phase 3, a total of 60 young Black men will pilot-test the adapted BrotherlyACT over 10 weeks in a single-group, pretest-posttest design to determine its feasibility and implementation outcomes., Results: Phase 1 data collection began in September 2021. Phases 2 and 3 are scheduled to start in June 2023 and end in September 2024., Conclusions: The development and testing of BrotherlyACT is a crucial first step in expanding an evidence-based psychoeducational and service-mediating intervention for young Black men involved in violence. This colocation of services shifts the current prevention strategy from telling them why to change to teaching them how., International Registered Report Identifier (irrid): PRR1-10.2196/43842., (©Chuka Emezue, Niranjan S Karnik, Blaine Reeder, Michael Schoeny, Rickey Layfield, Amie Zarling, Wrenetha Julion. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 01.05.2023.)

Background: Despite significant research done on youth experiencing homelessness, few studies have examined movement patterns and digital habits in this population. Examining these digital behaviors may provide useful data to design new digital health intervention models for youth experiencing homelessness. Specifically, passive data collection (data collected without extra steps for a user) may provide insights into lived experience and user needs without putting an additional burden on youth experiencing homelessness to inform digital health intervention design., Objective: The objective of this study was to explore patterns of mobile phone Wi-Fi usage and GPS location movement among youth experiencing homelessness. Additionally, we further examined the relationship between usage and location as correlated with depression and posttraumatic stress disorder (PTSD) symptoms., Methods: A total of 35 adolescent and young adult participants were recruited from the general community of youth experiencing homelessness for a mobile intervention study that included installing a sensor data acquisition app (Purple Robot) for up to 6 months. Of these participants, 19 had sufficient passive data to conduct analyses. At baseline, participants completed self-reported measures for depression (Patient Health Questionnaire-9 [PHQ-9]) and PTSD (PTSD Checklist for DSM-5 [PCL-5]). Behavioral features were developed and extracted from phone location and usage data., Results: Almost all participants (18/19, 95%) used private networks for most of their noncellular connectivity. Greater Wi-Fi usage was associated with a higher PCL-5 score (P=.006). Greater location entropy, representing the amount of variability in time spent across identified clusters, was also associated with higher severity in both PCL-5 (P=.007) and PHQ-9 (P=.045) scores., Conclusions: Location and Wi-Fi usage both demonstrated associations with PTSD symptoms, while only location was associated with depression symptom severity. While further research needs to be conducted to establish the consistency of these findings, they suggest that the digital patterns of youth experiencing homelessness offer insights that could be used to tailor digital interventions., (©Yousaf Ilyas, Shahrzad Hassanbeigi Daryani, Dona Kiriella, Paul Pachwicewicz, Randy A Boley, Karen M Reyes, Dale L Smith, Alyson K Zalta, Stephen M Schueller, Niranjan S Karnik, Colleen Stiles-Shields. Originally published in JMIR Formative Research (https://formative.jmir.org), 18.04.2023.)

Background: Expanding access to workforce training for opioid use disorder (OUD) treatment continues to be a priority. This study explored the use of tiered mentoring opportunities within an ECHO® model to expand treatment capacity and develop a statewide network of medications for OUD (MOUD) expertise. ECHO® engages participants in a virtual community to learn best practices through case-based learning and interactions with experts., Methods: We studied two incentivized Illinois MOUD ECHO® training programs by examining aggregate demographic and prescribing data across eight training cohorts (n = 199 participants). Participants (n = 51) in the last two cohorts were evaluated with expanded pre- and post-training surveys. Qualitative interviews were completed with a subset (n = 13) to examine effects observed in the survey data., Results: For the whole group, we found a geographic expansion of the participants' prescribing capacity that reached into rural and other underserved areas in Illinois. Participants in the last two cohorts reported both increased self-efficacy for OUD treatment and increased connectedness to the addiction treatment community in Illinois. Participants who progressed through the tiered mentorship roles were found to exhibit stepwise increases in reported self-efficacy and connectedness measures., Conclusion: An incentivized ECHO® program yielded substantive outcomes in terms of increased prescribing capacity across the state. The use of tiered mentoring opportunities enabled participants to develop MOUD expertise and support novice providers in a growing statewide network. There is potential to train professionals to a high level of expertise when the ECHO® model is combined with a mentorship pathway., Competing Interests: Conflict of Interest The authors declare no conflicts of interest., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Substance use, particularly binge drinking of alcohol and noninjection substance use, is associated with increased risk for HIV infection among youth, but structured substance use screening and brief intervention are not often provided as part of HIV risk reduction., Objective: The purpose of the study was to test the efficacy of a fully automated electronic screening and brief intervention, called Step Up, Test Up, to reduce alcohol misuse among adolescents and young adults presenting for HIV testing. Secondary objectives were reduction in sexual risk and uptake of pre-exposure prophylaxis (PrEP) for HIV prevention., Methods: Youth aged 16 years to 25 years who presented for HIV testing at community-based locations were recruited for study participation. Those who screened at moderate to high risk on the Alcohol Use Disorders Identification Test were randomized (1:1) to either an electronic brief intervention or a time-attention control. The primary outcome was change in alcohol use at 1, 3, 6, and 12-month follow-ups. Negative binomial and log binomial regression analyses with generalized estimating equations were conducted to evaluate the intervention efficacy., Results: Among a sample of 329 youth, there were no significant differences in alcohol use outcomes between conditions over time or at the 1, 3, 6, or 12-month time points. In terms of secondary outcomes, there was evidence of reduction in condomless insertive anal sex under the influence of alcohol and drugs at 12 months compared with 3 months in the intervention versus the attention control condition (incidence rate ratio=0.15, 95% CI 0.05-0.44); however, there were no other significant differences in sexual risk and no difference in PrEP engagement., Conclusions: We found no effect of electronic brief intervention to reduce alcohol use and some effect on sexual risk among youth aged 16 years to 25 years who present for HIV testing., Trial Registration: ClinicalTrials.gov number NCT02703116; https://clinicaltrials.gov/ct2/show/NCT02703116., International Registered Report Identifier (irrid): RR2-10.1186/s12889-020-8154-6., (©Niranjan S Karnik, Lisa M Kuhns, Anna L Hotton, Natascha Del Vecchio, Moira McNulty, John Schneider, Geri Donenberg, Kristin Keglovitz Baker, Rose Diskin, Abigail Muldoon, Juan Rivera, Faith Summersett Williams, Robert Garofalo. Originally published in JMIR Mental Health (https://mental.jmir.org), 29.03.2023.)

Topic: Mobile Health (mHealth) stands as a potential means to better reach, assess, and intervene with teens with socially complex needs. These youth often face overlapping adversities including medical illness and a history of experiencing adverse childhood experiences (ACEs). Clinicians are faced with navigating ethical decisions when developing mHealth tools for teens who have socially complex needs. Many tools have been developed for adults from the general population. However, despite the development of thousands of mHealth interventions, developers tend to focus on designing for usability, engagement, and efficacy, with less attention on the ethical considerations of making such tools., Purpose: To safely move mHealth interventions from research into clinical practice, ethical standards must be met during the design phase. In this paper we adapt the Four Box Model (i.e., medical indications, preferences of patients, quality of life, and contextual features) to guide mHealth developers through ethical considerations when designing mHealth interventions for teens who present with a medical diagnosis and a history of ACEs., Sources: A review of language, inclusive features, data sharing, and usability is presented using both the Four Box Model and potential scenarios to guide each consideration., Conclusions: To better support designers of mHealth tools we present a framework for evaluating applications to determine overlap with ethical design and are well suited for use in clinical practice with underserved pediatric patients., (© 2022 Wiley Periodicals LLC.)

Background: The COVID-19 pandemic has exacerbated health inequities in the United States. People with unhealthy opioid use (UOU) may face disproportionate challenges with COVID-19 precautions, and the pandemic has disrupted access to opioids and UOU treatments. UOU impairs the immunological, cardiovascular, pulmonary, renal, and neurological systems and may increase severity of outcomes for COVID-19., Objective: We applied machine learning techniques to explore clinical presentations of hospitalized patients with UOU and COVID-19 and to test the association between UOU and COVID-19 disease severity., Methods: This retrospective, cross-sectional cohort study was conducted based on data from 4110 electronic health record patient encounters at an academic health center in Chicago between January 1, 2020, and December 31, 2020. The inclusion criterion was an unplanned admission of a patient aged ≥18 years; encounters were counted as COVID-19-positive if there was a positive test for COVID-19 or 2 COVID-19 International Classification of Disease, Tenth Revision codes. Using a predefined cutoff with optimal sensitivity and specificity to identify UOU, we ran a machine learning UOU classifier on the data for patients with COVID-19 to estimate the subcohort of patients with UOU. Topic modeling was used to explore and compare the clinical presentations documented for 2 subgroups: encounters with UOU and COVID-19 and those with no UOU and COVID-19. Mixed effects logistic regression accounted for multiple encounters for some patients and tested the association between UOU and COVID-19 outcome severity. Severity was measured with 3 utilization metrics: low-severity unplanned admission, medium-severity unplanned admission and receiving mechanical ventilation, and high-severity unplanned admission with in-hospital death. All models controlled for age, sex, race/ethnicity, insurance status, and BMI., Results: Topic modeling yielded 10 topics per subgroup and highlighted unique comorbidities associated with UOU and COVID-19 (eg, HIV) and no UOU and COVID-19 (eg, diabetes). In the regression analysis, each incremental increase in the classifier's predicted probability of UOU was associated with 1.16 higher odds of COVID-19 outcome severity (odds ratio 1.16, 95% CI 1.04-1.29; P=.009)., Conclusions: Among patients hospitalized with COVID-19, UOU is an independent risk factor associated with greater outcome severity, including in-hospital death. Social determinants of health and opioid-related overdose are unique comorbidities in the clinical presentation of the UOU patient subgroup. Additional research is needed on the role of COVID-19 therapeutics and inpatient management of acute COVID-19 pneumonia for patients with UOU. Further research is needed to test associations between expanded evidence-based harm reduction strategies for UOU and vaccination rates, hospitalizations, and risks for overdose and death among people with UOU and COVID-19. Machine learning techniques may offer more exhaustive means for cohort discovery and a novel mixed methods approach to population health., (©Hale M Thompson, Brihat Sharma, Dale L Smith, Sameer Bhalla, Ihuoma Erondu, Aniruddha Hazra, Yousaf Ilyas, Paul Pachwicewicz, Neeral K Sheth, Neeraj Chhabra, Niranjan S Karnik, Majid Afshar. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 08.12.2022.)

Despite widespread access to smartphones, teens from communities facing significant behavioral health disparities typically have low mobile health (mHealth) engagement. The purpose of this study was to characterize teen and caregiver perspectives about smartphone use and access, mHealth, and how mHealth could address teens' behavioral health needs during the pandemic and beyond. Remote recruitment and methodologies were used to engage 17 teens (M age = 15.9 ± 0.9) and 10 caregivers living in urban communities with significant socioeconomic and health disparities. Participants completed a focus group or interview session (based on preference) and self-report questionnaires (e.g., behavioral health history, pandemic impacts, technology use). Qualitative and quantitative data were analyzed using thematic and descriptive analyses, respectively. Both quantitative and qualitative data indicated relevant behavioral health concerns for teens and their families, impacts from the pandemic, and frequent smartphone use. Primary teen and caregiver themes included (1) health and wellness concerns, (2) barriers, (3) use of smartphones, (4) impacts of smartphones, and (5) opinions/suggestions for mHealth. This multi-method and multi-informant study highlighted the lived experiences of teens from marginalized communities and offered key insights to increase the acceptability and real-world engagement of mHealth tools. To address barriers to care for this population beyond the pandemic, clear messaging must be used for mHealth tools (e.g., data privacy, expectations of use). These findings testify to the importance of collaboration with teens and caregivers from communities facing large health disparities in future mHealth design, development, and deployment., Competing Interests: Conflict of InterestThe authors declare no competing interests., (© The Author(s) 2022.)

Background and Aim: There is no gold-standard and considerable heterogeneity in outcome measures used to evaluate treatments for opioid use disorder (OUD) along the opioid treatment cascade. The aim of this study was to develop the US National Institute on Drug Abuse (NIDA) National Drug Abuse Treatment Clinical Trials Network (CTN) opioid use disorder core outcomes set (OUD-COS)., Design: Four-round, e-Delphi expert panel consensus study and plenary research group discussion and targeted consultation., Setting: United States., Participants: A panel of 25 members including clinical practitioners, clinical researchers and administrative staff from the CTN, the network's affiliated clinical and community sites and the NIDA Centre for the CTN., Measurements: From a pool of 24 candidate items in four domains (biomedical/disease status; behaviors, symptoms and functioning; opioid treatment cascade; and morbidity and mortality), the panel completed an on-line questionnaire to rank items with defined specification on a 9-point scale for importance, with a standard 70% consensus criterion., Findings: After the fourth round of the questionnaire and subsequent discussion, consensus was reached for five outcomes: two patient-reported (global impression of improvement and incident non-fatal overdose); one clinician-reported (illicit/non-medical drug toxicology); and two from administrative records (duration of treatment and fatal opioid poisoning)., Conclusions: An e-Delphi consensus study has produced the US National Institute on Drug Abuse (NIDA) National Drug Abuse Treatment Clinical Trials Network opioid use disorder core outcomes set (version 1) for opioid use disorder treatment efficacy and effectiveness research., (© 2022 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.)

Mental health concerns have been well studied among youth experiencing homelessness, yet few studies have explored factors that contribute to well-being in this population. The current cross-sectional study examined rates and correlates of well-being among youth experiencing homelessness. This is a descriptive, secondary analysis of the baseline data from a clinical intervention study. Ninety-nine youth (aged 16-25) who were experiencing homelessness were recruited in Chicago. Approximately 40% of the sample reported average or above average well-being relative to existing benchmarks. Having medical insurance, a mobile phone, and a history of more severe childhood trauma were unique cross-sectional predictors of worse well-being (all ps < 0.034). A significant portion of our sample experienced well-being. Having access to certain resources may be counterintuitive indicators of poorer well-being among youth experiencing homelessness, perhaps because they are indicators of greater need or increased social comparison among these youth., (© 2022 Wiley Periodicals LLC.)

Posttraumatic stress disorder (PTSD) treatments are increasingly delivered in massed formats and have shown comparable results to standard, weekly treatment. To date, massed cognitive processing therapy (CPT), delivered daily, has been delivered primarily in combination with adjunctive services and among veteran populations, but it has not been rigorously evaluated as a standalone intervention. The present study evaluated 1-week massed CPT delivered virtually (i.e., via telehealth) to a community sample of trauma-exposed individuals (N = 24). Using a single-arm open-label design, participants received CPT twice per day for 5 days. The results indicated that most participants completed treatment (n = 23, 95.8%), and no adverse events were reported. Participants exhibited large reductions in clinician-rated, d = 2.01, and self-reported PTSD symptoms, d = 2.55, as well as self-reported depressive symptoms, d = 1.46. On average, participants reported a 5-point PTSD symptom reduction and 1-point reduction in depressive symptoms for each treatment day. Reductions in PTSD and depressive symptoms were maintained at 3-month follow-up. Overall, 1-week massed CPT delivered virtually was shown to be feasible and to result in rapid symptom reductions that were sustained over time. Virtual massed CPT has the potential to increase access to effective treatments and help trauma survivors restore aspects of their lives in short amounts of time., (© 2022 The Authors. Journal of Traumatic Stress published by Wiley Periodicals LLC on behalf of International Society for Traumatic Stress Studies.)

The emergency department (ED) is a critical setting for the treatment of patients with opioid misuse. Detecting relevant clinical profiles allows for tailored treatment approaches. We sought to identify and characterize subphenotypes of ED patients with opioid-related encounters. A latent class analysis was conducted using 14,057,302 opioid-related encounters from 2016 through 2017 using the National Emergency Department Sample (NEDS), the largest all-payer ED database in the United States. The optimal model was determined by face validity and information criteria-based metrics. A three-step approach assessed class structure, assigned individuals to classes, and examined characteristics between classes. Class associations were determined for hospitalization, in-hospital death, and ED charges. The final five-class model consisted of the following subphenotypes: Chronic pain (class 1); Alcohol use (class 2); Depression and pain (class 3); Psychosis, liver disease, and polysubstance use (class 4); and Pregnancy (class 5). Using class 1 as the reference, the greatest odds for hospitalization occurred in classes 3 and 4 (Ors 5.24 and 5.33, p < 0.001) and for in-hospital death in class 4 (OR 3.44, p < 0.001). Median ED charges ranged from USD 2177 (class 1) to USD 2881 (class 4). These subphenotypes provide a basis for examining patient-tailored approaches for this patient population.

Background: Substance misuse is a heterogeneous and complex set of behavioural conditions that are highly prevalent in hospital settings and frequently co-occur. Few hospital-wide solutions exist to comprehensively and reliably identify these conditions to prioritise care and guide treatment. The aim of this study was to apply natural language processing (NLP) to clinical notes collected in the electronic health record (EHR) to accurately screen for substance misuse., Methods: The model was trained and developed on a reference dataset derived from a hospital-wide programme at Rush University Medical Center (RUMC), Chicago, IL, USA, that used structured diagnostic interviews to manually screen admitted patients over 27 months (between Oct 1, 2017, and Dec 31, 2019; n=54 915). The Alcohol Use Disorder Identification Test and Drug Abuse Screening Tool served as reference standards. The first 24 h of notes in the EHR were mapped to standardised medical vocabulary and fed into single-label, multilabel, and multilabel with auxillary-task neural network models. Temporal validation of the model was done using data from the subsequent 12 months on a subset of RUMC patients (n=16 917). External validation was done using data from Loyola University Medical Center, Chicago, IL, USA between Jan 1, 2007, and Sept 30, 2017 (n=1991 adult patients). The primary outcome was discrimination for alcohol misuse, opioid misuse, or non-opioid drug misuse. Discrimination was assessed by the area under the receiver operating characteristic curve (AUROC). Calibration slope and intercept were measured with the unreliability index. Bias assessments were performed across demographic subgroups., Findings: The model was trained on a cohort that had 3·5% misuse (n=1 921) with any type of substance. 220 (11%) of 1921 patients with substance misuse had more than one type of misuse. The multilabel convolutional neural network classifier had a mean AUROC of 0·97 (95% CI 0·96-0·98) during temporal validation for all types of substance misuse. The model was well calibrated and showed good face validity with model features containing explicit mentions of aberrant drug-taking behaviour. A false-negative rate of 0·18-0·19 and a false-positive rate of 0·03 between non-Hispanic Black and non-Hispanic White groups occurred. In external validation, the AUROCs for alcohol and opioid misuse were 0·88 (95% CI 0·86-0·90) and 0·94 (0·92-0·95), respectively., Interpretation: We developed a novel and accurate approach to leveraging the first 24 h of EHR notes for screening multiple types of substance misuse., Funding: National Institute On Drug Abuse, National Institutes of Health., Competing Interests: Declaration of interests MMC has a patent pending (ARCD. P0535US.P2) for risk stratification algorithms, not related to this Article, for hospitalised patients, and has received research support from EarlySense (Tel Aviv, Israel). All other authors declare no competing interests., (Copyright © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.)

Background and Aims: Unhealthy alcohol use (UAU) is one of the leading causes of global morbidity. A machine learning approach to alcohol screening could accelerate best practices when integrated into electronic health record (EHR) systems. This study aimed to validate externally a natural language processing (NLP) classifier developed at an independent medical center., Design: Retrospective cohort study., Setting: The site for validation was a midwestern United States tertiary-care, urban medical center that has an inpatient structured universal screening model for unhealthy substance use and an active addiction consult service., Participants/cases: Unplanned admissions of adult patients between October 23, 2017 and December 31, 2019, with EHR documentation of manual alcohol screening were included in the cohort (n = 57 605)., Measurements: The Alcohol Use Disorders Identification Test (AUDIT) served as the reference standard. AUDIT scores ≥5 for females and ≥8 for males served as cases for UAU. To examine error in manual screening or under-reporting, a post hoc error analysis was conducted, reviewing discordance between the NLP classifier and AUDIT-derived reference. All clinical notes excluding the manual screening and AUDIT documentation from the EHR were included in the NLP analysis., Findings: Using clinical notes from the first 24 hours of each encounter, the NLP classifier demonstrated an area under the receiver operating characteristic curve (AUCROC) and precision-recall area under the curve (PRAUC) of 0.91 (95% CI = 0.89-0.92) and 0.56 (95% CI = 0.53-0.60), respectively. At the optimal cut point of 0.5, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 0.66 (95% CI = 0.62-0.69), 0.98 (95% CI = 0.98-0.98), 0.35 (95% CI = 0.33-0.38), and 1.0 (95% CI = 1.0-1.0), respectively., Conclusions: External validation of a publicly available alcohol misuse classifier demonstrates adequate sensitivity and specificity for routine clinical use as an automated screening tool for identifying at-risk patients., (© 2021 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.)

Introduction: Buprenorphine treatment for opioid use disorder (OUD) has positive outcomes including reducing opioid-related morbidity and mortality. In March 2018, 58 of 102 counties in Illinois lacked access to medication for OUD., Methods: Rush University created a fellowship training program with financial incentives to help expand buprenorphine treatment in Illinois. Fellows first completed an online waiver course, then attended an in-person intensive training weekend, and finally participated in a 9-month webinar series. Demographic and prescribing data were collected from fellows, as well as a comparison group of providers outside the fellowship who only completed a waiver training., Results: At the fellowship's end, 31 of 37 fellows (84%) reported they were actively prescribing buprenorphine. Of the 23 fellows who were not prescribing at the fellowship's beginning, 17 (74%) initiated prescribing by the end. Among the 16 nonfellowship subjects who only completed a waiver training, just two (13%) reported they were prescribing buprenorphine at the study period's end., Discussion: Our study indicates that providers need more training beyond the waiver to initiate buprenorphine prescribing. When resources are available to address a health crisis such as OUD, this model offers an innovative mechanism for delivering continuing medical education that produces outcomes quickly., Competing Interests: Disclosures: The authors declare no conflict of interest., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The Alliance for Continuing Education in the Health Professions, the Association for Hospital Medical Education, and the Society for Academic Continuing Medical Education.)

Objectives: To assess fairness and bias of a previously validated machine learning opioid misuse classifier., Materials & Methods: Two experiments were conducted with the classifier's original (n = 1000) and external validation (n = 53 974) datasets from 2 health systems. Bias was assessed via testing for differences in type II error rates across racial/ethnic subgroups (Black, Hispanic/Latinx, White, Other) using bootstrapped 95% confidence intervals. A local surrogate model was estimated to interpret the classifier's predictions by race and averaged globally from the datasets. Subgroup analyses and post-hoc recalibrations were conducted to attempt to mitigate biased metrics., Results: We identified bias in the false negative rate (FNR = 0.32) of the Black subgroup compared to the FNR (0.17) of the White subgroup. Top features included "heroin" and "substance abuse" across subgroups. Post-hoc recalibrations eliminated bias in FNR with minimal changes in other subgroup error metrics. The Black FNR subgroup had higher risk scores for readmission and mortality than the White FNR subgroup, and a higher mortality risk score than the Black true positive subgroup (P < .05)., Discussion: The Black FNR subgroup had the greatest severity of disease and risk for poor outcomes. Similar features were present between subgroups for predicting opioid misuse, but inequities were present. Post-hoc mitigation techniques mitigated bias in type II error rate without creating substantial type I error rates. From model design through deployment, bias and data disadvantages should be systematically addressed., Conclusion: Standardized, transparent bias assessments are needed to improve trustworthiness in clinical machine learning models., (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

Response to weekly evidence-based PTSD treatments varies. Little is known about response trajectories and predictors in intensive PTSD treatments. This study sought to identify different trajectories of symptom change among veterans who completed a 3-week CPT-based intensive PTSD treatment program and examined potential predictors of trajectory group membership. Four hundred fifty-two veterans completed the program. Demographics, PTSD and depression severity, negative posttrauma cognitions, and alcohol use were assessed at intake and evaluated as possible predictors of group membership. Group based trajectory modeling was used to determine distinct groups based on PTSD symptom trajectory over the course of treatment, as well as predictors of group membership. Four distinct treatment trajectories were identified: Fast responders (15.3%), steady responders (32.0%), partial responders (38.4%), and minimal responders (14.4%). Fast and steady responders reported substantial symptom reductions and dropped below the "probable PTSD" threshold, with fast responders achieving improvements after just one week of treatment. Partial responders experienced clinically significant reductions but remained above the "probable PTSD" threshold. Minimal responders reported the highest baseline PTSD symptoms and changed the least throughout treatment. Negative posttrauma cognitions as well as self-reported and clinician-rated PTSD symptom severity assessed at intake successfully predicted trajectory membership. The identified trajectories closely resemble findings in the limited existing literature on intensive PTSD treatment trajectories. Results suggest that some individuals may improve with even shorter interventions and others might benefit from additional treatment sessions. Overall, findings support the importance of evaluating individual- and group-level treatment responses., (Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.)

In 2015, the United States Department of Health and Human Services instantiated rules mandating the inclusion of sexual orientation and gender identity (SO/GI) data fields for systems certified under Stage 3 of the Meaningful Use of Electronic Health Records (EHR) program. To date, no published assessments have benchmarked implementation penetration and data quality. To establish a benchmark for a U.S. health system collection of gender identity and sex assigned at birth, we analyzed one urban academic health center's EHR data; specifically, the records of patients with unplanned hospital admissions during 2020 (N = 49,314). Approximately one-quarter of patient records included gender identity data, and one percent of them indicated a transgender or nonbinary (TGNB) status. Data quality checks suggested limited provider literacy around gender identity as well as limited provider and patient comfort levels with gender identity disclosures. Improvements are needed in both provider and patient literacy and comfort around gender identity in clinical settings. To include TGNB populations in informatics-based research, additional novel approaches, such as natural language processing, may be needed for more comprehensive and representative TGNB cohort discovery. Community and stakeholder engagement around gender identity data collection and health research will likely improve these implementation efforts.

Background : Intensive treatment programmes (ITPs) for posttraumatic stress disorder (PTSD) produce large symptom reductions and have generally higher completion rates compared to traditional weekly care. Although ITPs do not appear to increase substance use, it has yet to be determined whether their effectiveness differs for veterans with and without hazardous alcohol use (HAU). Objective : This study examined the effectiveness of a 3-week Cognitive Processing Therapy-based ITP for 538 veterans with PTSD (66.0% male; mean age = 41.22 years) and with ( n = 193) or without HAU ( n = 343) for reducing PTSD and depression symptoms. Method : Veterans' PTSD (PCL-5) and depression (PHQ-9) symptoms were assessed at pre-treatment, during treatment, and at post-treatment. HAU (AUDIT-C total score ≥4 for males; ≥3 for females) was measured at intake. Results : Treatment completion rates were high for both individuals who endorsed HAU (92.68%) and those who did not (93.37%), likely due to veterans being housed near the treatment facility. Mixed effects regression models revealed a significant time by alcohol use interaction when predicting both PCL-5 ( p < .001) and PHQ-9 ( p = .003), suggesting time-trends over the course of the ITP differed based on alcohol use. Veterans who endorsed HAU improved to a statistically significantly lesser extent. However, endpoint differences between groups for both outcomes were small (Cohen's d s between 0.15 and 0.20). Conclusions : Veterans with and without HAU reported significant reductions in PTSD and depression symptoms and completed the ITP at comparably high rates. Findings support the effectiveness of intensive PTSD treatment programmes for individuals with PTSD and HAU. Future studies should utilize controlled designs to evaluate whether intensive PTSD treatment can reduce HAU., Competing Interests: Dr. Held receives grant support from the Boeing Company, the Wounded Warrior Project, and the Robert R. McCormick Foundation and is supported by a career development award from the National Institutes of Health (5KL2TR002387-04). Dr. Karnik’s time is supported, in part, by the National Center for Advancing Translational Science (UL1-TR002389, KL2-TR002387), National Institute on Drug Abuse (R01-DA041071, UG1-DA049467), and Illinois Department of Human Services. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the Illinois Department of Human Services. Dr. Kaysen’s time on this manuscript was supported by a grant from the Department of Defense (W81XWH-17-1-0002; PIs Walker/Kaysen). Dr. Kaysen has published on the delivery of Cognitive Processing Therapy, for which she receives royalties. Dr. Kaysen also provides trainings to providers in the delivery of CPT, for which she receives honorarium. All other authors declare that they have no competing interests and have no financial relationships to disclose., (© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.)

Background: Opioid misuse screening in hospitals is resource-intensive and rarely done. Many hospitalized patients are never offered opioid treatment. An automated approach leveraging routinely captured electronic health record (EHR) data may be easier for hospitals to institute. We previously derived and internally validated an opioid classifier in a separate hospital setting. The aim is to externally validate our previously published and open-source machine-learning classifier at a different hospital for identifying cases of opioid misuse., Methods: An observational cohort of 56,227 adult hospitalizations was examined between October 2017 and December 2019 during a hospital-wide substance use screening program with manual screening. Manually completed Drug Abuse Screening Test served as the reference standard to validate a convolutional neural network (CNN) classifier with coded word embedding features from the clinical notes of the EHR. The opioid classifier utilized all notes in the EHR and sensitivity analysis was also performed on the first 24 h of notes. Calibration was performed to account for the lower prevalence than in the original cohort., Results: Manual screening for substance misuse was completed in 67.8% (n = 56,227) with 1.1% (n = 628) identified with opioid misuse. The data for external validation included 2,482,900 notes with 67,969 unique clinical concept features. The opioid classifier had an AUC of 0.99 (95% CI 0.99-0.99) across the encounter and 0.98 (95% CI 0.98-0.99) using only the first 24 h of notes. In the calibrated classifier, the sensitivity and positive predictive value were 0.81 (95% CI 0.77-0.84) and 0.72 (95% CI 0.68-0.75). For the first 24 h, they were 0.75 (95% CI 0.71-0.78) and 0.61 (95% CI 0.57-0.64)., Conclusions: Our opioid misuse classifier had good discrimination during external validation. Our model may provide a comprehensive and automated approach to opioid misuse identification that augments current workflows and overcomes manual screening barriers.

Homelessness among youths is a poorly understood and complex social phenomenon. The authors examined the risk factors for homelessness among transition-age young adults, including the unique mental health concerns that often perpetuate the cycle of poverty and housing instability among these youths. The authors discuss the treatment gaps for mental health conditions in this population and identify potential solutions for reducing existing barriers to care. A literature review revealed that many studies report high rates of trauma and subsequent mental health problems among homeless youths. Intervention studies are challenging to conduct with this population and often have high attrition rates. Youths who are homeless desire mental health services and are especially enthusiastic about programs that address interpersonal difficulties and emotion regulation. Clinical data suggest that future interventions should address trauma more directly in this population. Technology-based interventions may help address the needs of homeless youths and may maximize their access to care. Because youths strongly prefer technology-based platforms, future research should integrate these platforms to better address the mental health needs identified as most salient by homeless youths. The authors discuss proposed policy changes at local, state, and federal levels to improve uptake of this proposed strategy.

Purpose: In response to the opioid crisis, public health advocates urge hospitals to perform substance use disorder (SUD) screening, brief intervention, discharge planning with referral to treatment, and naloxone education. Universal screening makes specialized treatment available to all patients and decreases stigma around SUDs, allowing patients and providers to address SUDs during their hospitalization. Additionally, hospital and emergency department-initiated medications to treat SUD improve patient engagement with treatment and decrease opioid use, and use of medications for opioid use disorder after nonfatal overdoses decreases mortality., Summary: A substance use intervention team (SUIT) service was established to offer universal screening and consultation by an interdisciplinary team at our urban academic medical center. The SUIT program provides inpatient consultation services as well as medical and behavioral clinic visits to transition patients to long-term treatment and is comprised of physicians, nurse practitioners, a clinical pharmacist, social workers, and a nurse. Successes attributed to enhanced medication use as a function of having a designated pharmacist as an integral member of the team are highlighted. Our medical center initiated screening efforts in tandem with its interdisciplinary team and clinic. The team attempts to start appropriately selected patients with SUD on medications for SUD while hospitalized. From January through December 2018, 87.2% of patients admitted to the hospital received initial SUD screening. Of the patients who screened positive, 1,400 received a brief intervention by a unit social worker; the SUIT service was consulted on 880 patients, and multiple medications for SUD were started during inpatient care., Conclusion: A screening, brief intervention, and referral to treatment service was successfully implemented in our hospital, with the SUIT program in place to provide interdisciplinary addiction care and initiate medications for SUD in appropriate patients., (© American Society of Health-System Pharmacists 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: A lack of consensus on the optimal outcome measures to assess the efficacy and effectiveness of interventions for the treatment of opioid use disorder (OUD) has hampered the pooling of research data for evidence synthesis and clinical guidelines. A core outcome set (COS) is a minimum set of outcome measures that are recommended for all studies of a particular condition. The National Drug Abuse Treatment Clinical Trials Network (CTN) Core Outcome Set for OUD (COS-OUD) is a development study to identify core constructs, meaningful outcomes, and their optimal measurement for all efficacy and effectiveness studies of OUD treatment and service delivery., Methods/design: Overseen by an expert workgroup, a modified, stepwise, e-Delphi methodology will be used to gain consensus among a panel of clinical practitioners and researchers involved in the treatment of OUD, who are members of the CTN. Sequential rounds of anonymous, online questionnaires will be used to identify, rate the importance of, and refine a core outcome set. A consensus threshold will be achieved if at least 70% of the panel rate the measure as critical for inclusion in the COS-OUD. Where consensus is not reached or there are suggestions for new measures, these will be brought forward to a further round of review prior to a consensus meeting. Products from this study will be communicated via peer-reviewed scientific journals and conferences., Discussion: This initiative will develop a COS for OUD intervention trials, treatment studies, and service delivery and will support the pooling of research and clinical practice data and efforts to develop measurement-based care within the OUD treatment cascade., Trial Registration: http://www.comet-initiative.org/Studies/Details/1579.

Topic: The presence of adverse childhood experiences offers a glimpse into the social complexity in the lives of youth. Thus far, youth have been categorized as "at-risk" or "vulnerable,"-identifiers which highlight a deficits-based framework and continue to stigmatize youth. To combat this systemic marginalization, we propose using the term youth with socially complex needs. These youth, often minority ethnic/racial and/or sexual/gender minorities, experience repeated adversity and discrimination., Purpose: The purpose of this paper is to conceptualize the unique considerations of working with youth with socially complex needs-who have an increased vulnerability for social marginalization., Sources Used: Given the adversity experienced and challenges inherent in working with youth with socially complex needs, ethical principles, and relevant care delivery models were explored., Conclusions: Delivering mental health care and/or conducting research in collaboration with youth with socially complex needs requires thoughtful consideration of ethical principles and models of care. In conclusion, we propose a strengths-based, individualized approach to working with youth with socially complex needs that requires a dynamic, fluid, multisystemic approach to care and research., (© 2020 Wiley Periodicals LLC.)

Background: Addiction medicine consultation services (ACS) may improve outcomes of hospitalized patients with substance use disorders (SUD). Our aim was to examine the difference in length of stay and the hazard ratio for a routine hospital discharge between SUD patients receiving and not receiving ACS., Methods: Structured EHR data from 2018 of 1,900 adult patients with a SUD-related diagnostic code at an urban academic health center were examined among 35,541 total encounters. Cox proportional hazards regression models were fit using a cause-specific approach to examine differences in hospital outcome (i.e., routine discharge, leaving against medical advice, in-hospital death, or transfer to another level of care). Models were adjusted for age, sex, race, ethnicity, insurance status, and comorbidities., Results: Length of stay was shorter among encounters with a SUD that received a SUIT consultation versus those admissions that did not receive one (5.77 v. 6.54 days, p<0.01). In adjusted analyses, admissions that received a SUIT consultation had a higher hazard of a routine discharge [hazard ratio (95% confidence interval): 1.16 (1.03-1.30)] compared to those not receiving a SUIT consultation., Conclusions: The SUIT consultation service was associated with a reduced length of stay and an increased hazard of a routine discharge. The SUIT model may serve as a benchmark and inform other health systems attempting to improve outcomes in SUD patient cohorts., Competing Interests: The authors have declared that no competing interests exist.

Background: Mobile and smartphones are owned and accessed by many, making them a potentially optimal delivery mechanism to reach pediatric patients with socially complex needs (ie, pediatric populations who face overlapping adversities)., Objective: To address the specialized needs of youth from such groups, this review synthesized the literature exploring the use of phone-based delivery to access pediatric populations with socially complex needs, targeting mental and behavioral health outcomes. The purpose of this synthesis was to provide recommendations for future research developing phone-based interventions for youth with socially complex needs., Methods: A trained medical librarian conducted the search strategy in the following databases: PubMed, Scopus, CINAHL, PsycINFO, Cochrane CENTRAL Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Google Scholar. Studies targeting youth with socially complex needs were defined by recruiting samples that were primarily from traditionally underserved populations (ie, sex/gender minorities, racial/ethnic background, low socioeconomic status, rural/remote location, and sexual orientation). A systematic narrative framework was utilized and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed (registration number CRD42020141212)., Results: A total of 14 studies met the inclusion criteria, with 3 depicting the use of phones to complete assessment and tracking goals and 11 to intervene on mental and behavioral health targets., Conclusions: The literature indicates important directions for future research, including (1) involving diverse and representative teens (ie, the likely users of the interventions), stakeholders, and clinical/research staff; (2) integrating evidence-based therapies with minority-focused theories; (3) harnessing mobile device capabilities; and (4) considering and assessing for potential costs in phones as delivery mechanisms., Trial Registration: PROSPERO CRD42020141212; https://www.crd.york.ac.uk/prospero/display&#95;record.php?RecordID=141212., (©Colleen Stiles-Shields, Lauren M Potthoff, Dawn T Bounds, Maureen T S Burns, Janel M Draxler, Caitlin H Otwell, Emily D Wolodiger, Jennifer Westrick, Niranjan S Karnik. Originally published in JMIR Pediatrics and Parenting (http://pediatrics.jmir.org), 26.08.2020.)

Previous research has demonstrated that sleep disturbances show little improvement with evidence-based psychotherapy for posttraumatic stress disorder (PTSD); however, sleep improvements are associated with PTSD treatment outcomes. The goal of the current study was to evaluate changes in self-reported insomnia symptoms and the association between insomnia symptoms and treatment outcome during a 3-week intensive treatment program (ITP) for veterans with PTSD that integrated cognitive processing therapy (CPT), mindfulness, yoga, and other ancillary services. As part of standard clinical procedures, veterans (N = 165) completed self-report assessments of insomnia symptoms at pre- and posttreatment as well as self-report assessments of PTSD and depression symptoms approximately every other day during treatment. Most veterans reported at least moderate difficulties with insomnia at both pretreatment (83.0%-95.1%) and posttreatment (69.1-71.3%). Statistically significant reductions in self-reported insomnia severity occurred from pretreatment to posttreatment; however, the effect size was small, d = 0.33. Longitudinal mixed-effects models showed a significant interactive effect of Changes in Insomnia × Time in predicting PTSD and depression symptoms, indicating that patients with more improvements in insomnia had more positive treatment outcomes. These findings suggest that many veterans continued to struggle with sleep disruption after a 3-week ITP, and successful efforts to improve sleep could lead to better PTSD treatment outcomes. Further research is needed to establish how adjunctive sleep interventions can be used to maximize both sleep and PTSD outcomes., (© 2020 International Society for Traumatic Stress Studies.)

With the implementation of the Affordable Care Act (ACA), many homeless persons who previously lacked health insurance gained medical coverage. This paper describes the experiences of homeless persons in accessing and using primary care services, post-implementation of the ACA. Twenty-six semi-structured interviews were completed with homeless persons and primary care providers/staff. Via thematic analysis, themes were identified, categorized by: factors which influence primary care access and use patterns, and strategies to promote consistent primary care use. Maintaining insurance and leveraging systems-based strategies to support primary care access and use may address health disparities and promote health equity.