Prevalence and predictors of medication for opioid use disorder among reproductive-aged women.

Background: Women of reproductive age would benefit from treatment of opioid use disorder (OUD) prior to pregnancy to improve maternal and infant outcomes. In this study, we aimed to identify the prevalence of medication for OUD (MOUD) and characterize correlates of MOUD receipt among 12-49-year-old women with OUD seeking treatment in publicly funded substance use disorder treatment programs at the time of their first treatment episode. Methods: This cross-sectional study explores the demographic and clinical characteristics of women of reproductive age with OUD receiving publicly funded substance use treatment services. We used data from the concatenated 2015-2021 Treatment Episode Data Set-Admissions (TEDS-A), which documents demographic and clinical characteristics of patient admissions to publicly funded substance use treatment services in the United States. Results: In the sample of females aged 12-49 with no prior treatment admissions and primary OUD (n=325,512), 40.53% received MOUD (n=131,930), including 39.40% of non-pregnant women (n=115,315) and 52.79% of pregnant women (n=8423). Pregnant women had significantly higher odds of receiving MOUD (aOR = 2.42, 95%CI: 2.30, 2.54) compared to non-pregnant women. Non-white race, treatment setting, and treatment self-referral were also associated with higher levels of MOUD. Conclusions: We identified a significant unmet need among both pregnant and non-pregnant women with OUD seeking care in publicly funded treatment clinics. While women who are pregnant are significantly more likely to receive evidence-based treatment with MOUD, still 47.21% of pregnant women did not receive MOUD. All reproductive-aged women with OUD should be offered evidence-based treatment options, including MOUD.

A machine learning approach using migration-related cultural stress to classify depression and post-traumatic stress disorder among hurricane survivors.

BACKGROUND: Data science approaches have increasingly been used in behavioral health research and may be useful for addressing social factors contributing to disparities in health status. This study evaluated the importance of cultural stress-related factors in classifying depression and post-traumatic stress disorder (PTSD) among adult survivors (N = 319) of Hurricane Maria who migrated from Puerto Rico to the United States mainland. METHODS: We evaluated the performance of random forests (RF) and logistic regression (LR) for classifying PTSD and depression. Models included demographic, hurricane exposure, and migration-related cultural stress variables. We inspected area under the receiver operating characteristic curve (AUC), accuracy, balanced accuracy, F1 score, precision, recall, and specificity. RESULTS: Negative context of reception and language-related stressors were moderately important for accurately classifying depression and PTSD. For classifying depression, RF showed higher accuracy, balanced accuracy, specificity, precision, and F1. For classifying PTSD, RF showed higher accuracy, specificity, precision, and F1. LIMITATIONS: A more thorough classification model would also include biomarkers (e.g., of allostatic load), family, community, or neighborhood-level attributes. Findings may not generalize to other groups who have experienced crisis-related migration. CONCLUSIONS: Findings underscore the importance of culturally and linguistically appropriate and trauma-informed clinical services for recent migrants. Use of assessments to identify pre-migration and post-migration stressors could inform clinical practice with migrants presenting with behavioral health-related difficulties.

Firearm injury among people experiencing homelessness: Cross-sectional evidence from a national survey of United States emergency departments.

Objectives: Persons experiencing homelessness (PEH) are at high risk for violent victimization. This study leverages unique data from a national study in the United States of America to provide estimates of non-fatal firearm injury among PEH and to describe the contexts related to injury, such as substance use, intent of the injury, and precipitating interpersonal factors. Study design: Cross-sectional. Methods: Data from the 1993-2020 National Electronic Injury Surveillance System-Firearm Injury Surveillance Study (NEISS-FISS) were used to describe the context and characteristics of non-fatal firearm injury among PEH aged 16 years or older. Homeless status and substance use data were extracted from a de-identified narrative field. Estimates were weighted to account for the NEISS-FISS complex sampling design. Results: Probable homelessness was identified in 0.10% of cases (n = 3,225). Substance use was documented in 22.73% of cases. Assault comprised 82.64% of injuries. Patients were mostly male (81.38%). Missing data were common on contextual variables: verbal argument (64.62%), physical fight (54.48%) or other criminal activity (62.33%). Conclusions: Assault is a leading cause of non-fatal firearm injury for PEH and is greater than rates of assault in non-fatal firearm injuries in the general population. Substance use was documented in nearly one quarter of patients, although this is less than expected given prior evidence. Reliance on narrative fields for key variables likely underestimates rates of PEH and substance use.

The Relationship Between Serious Mental Illness and Criminal Offending in Persons Experiencing Homelessness: The Role of Substance Use Disorder.

Individuals who live with mental illness are encumbered by related risk factors that increase the probability of legal involvement. The goal was to determine how homelessness and substance use disorder are intervening factors in the relationship between symptoms of serious mental illness (SMI) and criminal offending. A sample of 210 chronically homeless adults receiving SAMHSA-funded outreach and psychiatric rehabilitation services between 2014 and 2016 was recruited in a study of interventions to address housing in homeless persons with a SMI. Participants were interviewed and data collected were analyzed using structural equation modeling. Statistical analysis showed that homelessness severity mediated the relationship between SMI symptom severity and criminal offenses committed in the past 30 days in participants with a substance use disorder but not in those with no substance use diagnosis. Results show that homelessness and substance use are important to address to possibly alter trajectories for criminal justice involvement.

Prevalence and correlates of knife-related victimization: Insights from the 2019 Nationwide Emergency Department Sample.

Few studies have explored the incidence and general trends in knife-related victimizations in the United States (US), especially in settings where preventive interventions can potentially be initiated such as emergency departments (EDs). The goal of the present investigation was to provide an empirical portrait of the psychosocial and behavioral health characteristics of patients assaulted by sharp objects, particularly knives, as revealed in EDs in the US, as less research has focused on knife victimization in the US than internationally. This study uses data from the 2019 Nationwide Emergency Department Sample (NEDS), which is part of the Healthcare Cost and Utilization Project distributed by the Agency for Healthcare Research and Quality. Findings revealed that demographically males (especially those aged 18-25), those in poverty, and members of racially minoritized groups were more likely to be present with knife-related assault. Key factors increasing the odds of knife-related victimization treated in EDs were homelessness, legal involvement, and substance use, particularly alcohol and stimulant use disorder. Somewhat surprisingly, mental health diagnosis was not associated with increased knife-related victimization. Although EDs are critical to treating knife-related victimization, they are also potentially key points to launch prevention for high-risk individuals to reduce subsequent violence stemming from escalation of interpersonal disputes.

Correlates of Homelessness Among Adults with Personality Disorder.

Although personality disorders (PDs) are more common among persons experiencing homelessness than the general population, few studies have investigated the risk of experiencing homelessness among persons with PDs. This study seeks to identify the demographic, socioeconomic, and behavioral health correlates of past-year homelessness among persons with antisocial, borderline, and schizotypal PDs. Nationally representative data of the civilian, noninstitutionalized population of the United States was used to identify correlates of homelessness. Descriptive statistics and bivariate associations between variables and homeless status were summarized prior to conducting several multivariate logistic regression models to identify correlates of homelessness. Main findings revealed positive associations between poverty, relationship dysfunction, and lifetime suicide attempt with homelessness. In the antisocial PD (ASPD) and borderline PD (BPD) models, comorbid BPD and ASPD, respectively, were associated with higher odds of past-year homelessness. Findings underscore the importance of poverty, interpersonal difficulties, and behavioral health comorbidities on homelessness among persons with ASPD, BPD, and schizotypal PD. Strategies to promote economic security, stable relationships, and interpersonal functioning may buffer against the effects of economic volatility and other systemic factors that could contribute to homelessness and persons with PD.

Correlates of cannabis use disorder in the United States: A comparison of logistic regression, classification trees, and random forests.

Although several recent studies have examined psychosocial and demographic correlates of cannabis use disorder (CUD) in adults, few, if any, recent studies have evaluated the performance of machine learning methods relative to standard logistic regression for identifying correlates of CUD. The present study used pooled data from the 2015-2018 National Survey on Drug Use and Health to evaluate psychosocial and demographic correlates of CUD in adults. In addition, we compared the performance of logistic regression, classification trees, and random forest methods in classifying CUD. When comparing the performance of each method on the test data set, classification trees (AUC = 0.84, 95%CI: 0.82, 0.85) and random forest (AUC = 0.83, 95%CI: 0.82, 8.05) performed similarly and superior to logistic regression (AUC = 0.77, 95%CI: 0.74, 0.79). Results of the random forests reveal that marital status, risk propensity, age, and cocaine dependence variables contributed most to node purity, whereas model accuracy would decrease significantly if county type, income, race, and education variables were excluded from the model. One possible approach to improving the efficiency, interpretability, and clinical insights of CUD correlates is the employment of machine learning techniques.

Happiness, well-being, and recovery: Experiences of adults receiving psychiatric rehabilitation services.

OBJECTIVES: Although recovery for people with serious mental illness (SMI) has received considerable attention, there is a research gap on the related topics of well-being and happiness-subjects that have been widely studied in the general population. The objective of this study was to explore the experiences of happiness, well-being, and recovery from the perspectives of persons with SMI, and to examine similarities and differences among these constructs. METHOD: This qualitative study used semistructured interviews with a purposive sample of 30 adults with SMI to explore experiences of happiness, well-being, and recovery. Reflexive thematic analysis was applied to generate themes related to each concept. RESULTS: Happiness was facilitated through relationships with natural and professional supports, engaging in meaningful activities that conferred a sense of accomplishment, using coping skills to reduce distress, engaging in recreational activities, and meeting basic material needs. Well-being was promoted through self-care activities and enhanced through relationships with professional supports. However, nearly one-fourth of participants expressed uncertainty about what well-being meant to them. Recovery was characterized as a process of overcoming illness or adversity through which personal control over symptoms and stressors is increased; recovery is also facilitated by supportive professional relationships. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Most factors relating to the happiness of people with SMI are also factors that have been identified in theory and research as facilitating the happiness of the general population. Findings suggest that happiness should be considered an important new area of research, policy, and practice in the fields of psychiatric rehabilitation. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Associations between Allostatic Load and Posttraumatic Stress Disorder: A Scoping Review.

Traumatic events may lead to the development of PTSD or PTSD symptomology that can negatively impact health outcomes. Allostatic load, which represents the cumulative biological wear and tear of exposure to stress, can be employed to better understand the physiological etiology of PTSD. A scoping review, informed by the PRISMA Extension for Scoping Reviews, was completed to identify published and unpublished empirical studies that explored the relationship of allostatic load and PTSD. Eight databases were searched yielding four studies, with the results summarized narratively and in tabular form. Findings were mixed as to the association between allostatic load and PTSD. Allostatic load was positively associated with PTSD diagnosis; however, studies measuring only PTSD symptomatology found no relationship. Few PTSD researchers have tested the relationship of a comprehensive measure of allostatic load to PTSD. Among those who have, studies show that allostatic load can be a beneficial tool and applicable theoretical framework for understanding the biological changes associated with PTSD. Future research should focus on standardizing measures of both allostatic load and PTSD and identifying potential confounders. A better understanding of the physiological changes associated with PTSD could lead to more effective prevention and treatment efforts.

Binge drinking in early adulthood: A machine learning approach.

Binge drinking among young adults (18-25) has been recognized as a public health concern. Considerable variation among drinking behaviors have been found among this group. Several statistical methods are available to identify theoretically and empirically meaningful correlates of binge drinking. The present study evaluated three methods for identifying correlates of binge drinking, comparing logistic regression to two machine learning methods-classification tress and random forests. While each model identified similar correlates of binge drinking-such as propensity for engaging in risky behaviors, marijuana dependence, cocaine dependence, identifying as non-Hispanic white, and higher education-the AUC analysis showed that the random forest analysis more accurately classified positive cases of binge drinking. Random forests modelling of psychosocial data is a feasible approach for identifying correlates of binge drinking behaviors among young adults. Clinical implications are discussed related to screening for binge drinking in behavioral health organizations.

The well-being and perspectives of community-based behavioral health staff during the COVID-19 pandemic.

With high levels of burnout, turnover, and secondary traumatic stress, the well-being of the behavioral health workforce was an area of concern prior to the coronavirus disease 2019 (COVID-19) pandemic. How the COVID-19 crisis has impacted social workers, psychologists, psychiatrists, and other behavioral health professionals is unclear but should be examined. A brief survey evaluated the impact of the pandemic on the well-being of 168 behavioral health clinical and administrative staff serving in an urban behavioral health center in the United States. Staff experienced several personal and organizational-related challenges related to work-life balance, emotional distress, and organizational communication. Nevertheless, staff found an abundance of positive experiences when engaging with clients. Supportive, positive feedback and statements of appreciation from clients, colleagues, and supervisors helped staff to feel at their best. The well-being of behavioral health staff may be facilitated by consistent and supportive communication at the team, supervisory, and organizational levels and by involving staff in planning agency policy.

Models of mental health recovery: An overview of systematic reviews and qualitative meta-syntheses.

OBJECTIVE: This study systematically reviews the systematic review (SR) evidence on mental health recovery from the perspective of adults with mental illness. METHODS: Web of Science, ProQuest Dissertations & Theses, CINAHL, PubMed, PsycINFO, Scopus, and the libraries of the Cochrane Collaboration, Campbell Collaboration, and Joanna Briggs Institute were searched to identify eligible SRs including qualitative primary research. Two reviewers independently conducted data extraction and quality assessment. Overlap of primary studies was calculated. A framework for recovery was generated using reflexive thematic analysis. RESULTS: An ecological model of recovery that included elements of psychological well-being was generated from 25 studies bridging personal/clinical, individual/social, and process/outcome conceptualizations of recovery. The first theme was a definition of recovery as a transformation from a negative identity state marked by despair, brokenness, and helplessness to a positive state of psychological well-being. This transformation was contingent upon four additional themes that included: (a) social and environmental conditions supporting access to basic resources and safety; (b) development of a sense of autonomy and personal responsibility; (c) roles and relationships that facilitated the personal experience of belonging and meaning; and (d) enlightenment defined as acceptance of the illness as a part of oneself and insight into how to promote well-being. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Professionals working in recovery-oriented systems must consider how the subjective self-representations of persons with mental illness and objective social relationships interact to impact recovery. We close by discussing interventions that may promote the personal and social conditions of recovery. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Direct and Indirect Associations Between Loneliness and Thoughts of Self-Harm Among a Clinical Sample of Older Adults With Serious Mental Illness.

This cross-sectional study examines the relationships of loneliness and depressive symptoms to thoughts of self-harm among a clinical sample (n = 150) of older adults (M = 58.42 years, SD = 5.86 years; male, 55.3%; African American, 61.3%) with serious mental illness (SMI) receiving publicly funded, community-based psychiatric rehabilitation services. Participants completed the De Jong Gierveld Loneliness Scale, Multidimensional Scale of Perceived Social Support, Patient Health Questionnaire 9, and Geriatric Depression Scale-Short Form. Mediation analyses tested the association of loneliness with thoughts of self-harm through depressive symptoms and were adjusted for social support and demographic variables. The direct association of loneliness with thoughts of self-harm was mediated by depressive symptoms; indirect associations of overall and emotional loneliness to thoughts of self-harm were significant. Findings suggest the need for clinicians to reduce feelings of loneliness among older adults with SMI as a means of partially ameliorating depressive symptoms and thoughts of self-harm.

Loneliness and depressive symptoms in middle aged and older adults experiencing serious mental illness.

OBJECTIVE: To examine the relationship between loneliness and depressive symptoms among middle-aged and older adults diagnosed with serious mental illness (SMI). METHOD: Cross-sectional data from a community mental health center were used to understand the contribution of loneliness to depressive symptoms. Participants (n = 100) were aged 50 or older, diagnosed with SMI, and receiving intensive case management services. Hierarchical linear regression was conducted to explore the relationship of social and emotional loneliness to depressive symptoms when controlling for trauma symptom severity and self-rated health. RESULTS: The sample experienced high levels of loneliness, depressive symptoms, and trauma symptoms. Emotional loneliness explained a greater amount of unique variance in depressive symptoms compared with other significant predictors. Social loneliness did not significantly contribute to the model. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Among consumers of intensive case management services, emotional loneliness is uniquely associated with greater depressive symptoms. Loneliness and depression strongly covary but are distinct concepts that may be targeted conjointly to improve well-being among persons experiencing SMI. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Helping Survivors of Human Trafficking: A Systematic Review of Exit and Postexit Interventions.

BACKGROUND: Human trafficking is a global problem and results in deleterious psychological, social, and physical effects on the lives of those who are trafficked; however, it is not clear how to best intervene with survivors. The purpose of this review was to synthesize the evidence of exit and postexit intervention programs for survivors of human trafficking to inform practice and research. METHOD: Systematic review methods were used to search, select, and extract data from published and unpublished experimental, quasi-experimental, and preexperimental studies that assessed the effects of any exit or postexit interventions for victims of human trafficking. The authors searched eight databases, reviewed bibliographies, and conducted forward citation searches from relevant reports and prior reviews to find studies authored between 2005 and 2015. RESULTS: The search yielded six eligible studies that included 155 female and 6 male survivors from four countries. Interventions were diverse, with three using a trauma-informed approach. Authors measured a myriad of outcomes, including mental health, social network, community reintegration, and employment; however, the quality of most studies was poor. DISCUSSION: Evidence of effects of exit and postexit interventions is sparse, and much of the research is poorly designed and executed; however, the needs of trafficking survivors are complex and effective interventions are desperately needed. Implications for practice and research are discussed.