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Lesbian, gay, bisexual, transgender, queer, intersex, asexual, and other minoritized gender and sexual identities (LGBTQIA+) youth have disproportionately high levels of depression, self-harm, and suicidal thoughts and behaviors. In addition, LGBTQIA+ youth frequently report lower levels of satisfaction or comfort with their health care providers because of stigmatization, which may prevent continuation of care, yet there is a lack of mental health treatment and outcome research addressing these disparities. However, there is some indication that LGBTQIA+ individuals feel more comfortable with web-based formats, indicating that telehealth services may be beneficial for this population. This program evaluation explored the effectiveness of a remote intensive outpatient program with a curriculum tailored specifically to LGBTQIA+ youth with high-acuity depression, anxiety, and suicidality. This study sought to understand baseline acuity differences between LGBTQIA+ and non-LGBTQIA+ youth and young adult patients and to determine if there were differences in clinically significant improvement by subtypes within the LGBTQIA+ population following participation in LGBTQIA+-specific programming. Data were collected from intake and discharge outcome surveys measuring depression, suicidality, and nonsuicidal self-injury (NSSI) in 878 patients who attended at least six sessions of a remote intensive outpatient program for youth and young adults. Of these 878 clients, 551 (62.8%) were identified as having at least one LGBTQIA+ identity; they participated in an LGBTQIA+-adapted program of the general curriculum. LGBTQIA+ patients had more clinically severe intake for depression, NSSI, and suicidal ideation. Nonbinary clients had greater NSSI within the LGBTQIA+ sample at intake than their binary counterparts, and transgender clients had significantly higher depressive scores at intake than their nontransgender counterparts. LGBTQIA+ patients demonstrated improvements in all outcomes from intake to discharge. The Patient Health Questionnaire for Adolescents depression scores improved from 18.15 at intake to 10.83 at discharge, representing a 41.5% reduction in depressive symptoms. Overall, 50.5% (149/295) of the LGBTQIA+ youth who endorsed passive suicidal ideation at intake no longer reported it at discharge, 72.1% (160/222) who endorsed active suicidal ideation at intake no longer reported it at discharge, and 55.1% (109/198) of patients who met the criteria for clinical NSSI no longer met the criteria at discharge. In the subgroup analysis, transgender patients were still 2 times more likely to report clinical NSSI at discharge. This program evaluation found substantial differences in rates of depression, NSSI, and suicidal ideation between LGBTQIA+ clients compared with their non-LGBTQIA+ counterparts. In addition, this evaluation showed a considerable decrease in symptoms when clients attended LGBTQIA+-affirming care. The findings provide support for the role of LGBTQIA+-specific programming to meet the elevated mental health needs of these youth and that more research is needed to understand barriers that may negatively affect transgender clients, specifically.

The onset of the COVID-19 pandemic necessitated the rapid transition of many types of substance use disorder (SUD) treatments to telehealth formats, despite limited information about what makes treatment effective in this novel format. This study aims to examine the feasibility and effectiveness of virtual intensive outpatient programming (IOP) treatment for SUD in the context of a global pandemic, while considering the unique challenges posed to data collection during an unprecedented public health crisis. The study is based on a longitudinal study with a baseline sample of 3642 patients who enrolled in intensive outpatient addiction treatment (in-person, hybrid, or virtual care) from January 2020 to March 2021 at a large substance use treatment center in the United States. The analytical sample consisted of patients who completed the 3-month postdischarge outcome survey as part of routine outcome monitoring (n=1060, 29.1% response rate). No significant differences were detected by delivery format in continuous abstinence (χ =0.4, P=.81), overall quality of life (F =2.06, P=.13), financial well-being (F =2.30, P=.10), psychological well-being (F =0.72, P=.49), and confidence in one's ability to stay sober (F =0.21, P=.81). Individuals in hybrid programming were more likely to report a higher level of general health than those in virtual IOP (F =4.19, P=.01). Virtual outpatient care for the treatment of SUD is a feasible alternative to in-person-only programming, leading to similar self-reported outcomes at 3 months postdischarge. Given the many obstacles presented throughout data collection during a pandemic, further research is needed to better understand under what conditions telehealth is an acceptable alternative to in-person care.

Background:Pediatric mental health emergency department (ED) visits are increasing at 6% to 10% per year, at substantial cost, while 13% of youth with psychiatric hospitalizations are readmitted in the following weeks. Hospitals do not have the resources to meet escalating youth’s mental health needs. Intensive outpatient (IOP) programs, which provide multiple hours of care each week, have the power to reduce the number of patients in need of hospitalized care and provide a step-down option for patients discharging from ED’s in order to prevent readmissions.Objective:The purpose of this program evaluation was to assess (1) whether youth and young adult ED admission rates decreased following participation in a remote IOP program and (2) whether there were differences in readmission rates between youth and young adults by gender identity, sexual orientation, race, or ethnicity.Methods:Data were collected from intake and 3-month postdischarge surveys for 735 clients who attended at least 6 sessions of a remote IOP program for youth and young adults. Patients reported if they had been admitted to an ED within the previous 30 days and the admission reason. Over half (407/707, 57.6%) of clients were adolescents and the rest were young adults (300/707, 42.4%; mean age 18.25, SD 4.94 years). The sample was diverse in gender identity (329/687, 47.9% female; 196/687, 28.5% male; and 65/669, 9.7% nonbinary) and sexual orientation (248/635, 39.1% heterosexual; 137/635, 21.6% bisexual; 80/635, 10.9% pansexual; and 170/635, 26.8% other sexual orientation) and represented several racial (9/481, 1.9% Asian; 48/481, 10% Black; 9/481, 1.9% Indigenous; 380/481, 79% White; and 35/481, 7.2% other) and ethnic identities (112/455, 24.6% Hispanic and 28/455, 6.2% other ethnic identity).Results:Mental health–related ED admissions significantly decreased between intake and 3 months after discharge, such that 94% (65/69) of clients with a recent history of mental health–related ED admissions at IOP intake reported no mental health–related ED admissions at 3 months after discharge from treatment (χ21=38.8, P<.001). There were no differences in ED admissions at intake or in improvement at 3 months after discharge by age, gender, sexuality, race, or ethnicity.Conclusions:This study documents a decrease in ED admissions between intake and 3 months after discharge among both youth and young adults who engage in IOP care following ED visits. The similar outcomes across demographic groups indicate that youth and young adults experience similar decreases after the current tracks of programming. Future research could conduct a full return-on-investment analysis for intensive mental health services for youth and young adults.

 Early treatment dropout among youths and young adults (28%-75%) puts them at risk for poorer outcomes. Family engagement in treatment is linked to lower dropout and better attendance in outpatient, in-person treatment. However, this has not been studied in intensive or telehealth settings.  We aimed to examine whether family members' participation in telehealth intensive outpatient (IOP) therapy for mental health disorders in youths and young adults is associated with patient's treatment engagement. A secondary aim was to assess demographic factors associated with family engagement in treatment.  Data were collected from intake surveys, discharge outcome surveys, and administrative data for patients who attended a remote IOP for youths and young adults, nationwide. Data included 1487 patients who completed both intake and discharge surveys and either completed or disengaged from treatment between December 2020 and September 2022. Descriptive statistics were used to characterize the sample's baseline differences in demographics, engagement, and participation in family therapy. Mann-Whitney U and chi-square tests were used to explore differences in engagement and treatment completion between patients with and those without family therapy. Binomial regression was used to explore significant demographic predictors of family therapy participation and treatment completion.  Patients with family therapy had significantly better engagement and treatment completion outcomes than clients with no family therapy. Youths and young adults with ≥1 family therapy session were significantly more likely to stay in treatment an average of 2 weeks longer (median 11 weeks vs 9 weeks) and to attend a higher percentage of IOP sessions (median 84.38% vs 75.00%). Patients with family therapy were more likely to complete treatment than clients with no family therapy (608/731, 83.2% vs 445/752, 59.2%; P<.001). Different demographic variables were associated with an increased likelihood of participating in family therapy, including younger age (odds ratio 1.3) and identifying as heterosexual (odds ratio 1.4). After controlling for demographic factors, family therapy remained a significant predictor of treatment completion, such that each family therapy session attended was associated with a 1.4-fold increase in the odds of completing treatment (95% CI 1.3-1.4).  Youths and young adults whose families participate in any family therapy have lower dropout, greater length of stay, and higher treatment completion than those whose families do not participate in services in a remote IOP program. The findings of this quality improvement analysis are the first to establish a relationship between participation in family therapy and an increased engagement and retention in remote treatment for youths and young patients in IOP programing. Given the established importance of obtaining an adequate dosage of treatment, bolstering family therapy offerings is another tool that could contribute to the provision of care that better meets the needs of youths, young adults, and their families.

Background:COVID-19 exacerbated a growing mental health crisis among youths and young adults, worsened by a lack of existing in-person options for high-acuity care. The emergence and growth of remote intensive outpatient programs (IOPs) is a solution to overcome geographic limitations to care. However, it remains unclear whether remote IOPs engender equivalent clinical outcomes among youths with public insurance (eg, Medicaid) versus private insurance (eg, commercial) given the disparities found in previous research on place-based treatment in both clinical and engagement outcomes.Objective:This analysis sought to establish, as part of ongoing quality improvement efforts, whether engagement and clinical outcomes among adolescents and young adults attending remote IOP treatment differed between youths with public and those with private insurance. The identification of disparities by payer type was used to inform programmatic decisions within the remote IOP system for which this quality improvement analysis was conducted.Methods:Pearson chi-square analyses and independent 2-tailed t tests were used to establish that the 2 groups defined by insurance type were equivalent on clinical outcomes (depression, suicidal ideation, and nonsuicidal self-injury [NSSI]) at intake and compare changes in clinical outcomes. McNemar chi-square analyses and repeated-measure 2-tailed t tests were used to assess changes in clinical outcomes between intake and discharge in the sample overall. In total, 495 clients who attended the remote IOP for youths and young adults in 14 states participated in ≥7 treatment sessions, and completed intake and discharge surveys between July 2021 and April 2022 were included in the analysis.Results:Overall, the youths and young adults in the remote IOP attended a median of 91% of their scheduled group sessions (mean 85.9%, SD 16.48%) and reported significantly fewer depressive symptoms at discharge (t447=12.51; P<.001). McNemar chi-square tests of change indicated significant reductions from intake to discharge in suicidal ideation (N=470, χ21=104.4; P<.001), with nearly three-quarters of youths who reported active suicidal ideation at intake (200/468, 42.7%) no longer reporting it at discharge (142/200, 71%), and in NSSI (N=430, χ21=40.7; P<.001), with more than half of youths who reported NSSI at intake (205/428, 47.9%) reporting lower self-harm at discharge (119/205, 58%). No significant differences emerged by insurance type in attendance (median public 89%, median private 92%; P=.10), length of stay (t416=−0.35; P=.73), or reductions in clinical outcomes (depressive symptom severity: t444=−0.87 and P=.38; active suicidal ideation: N=200, χ21=0.6 and P=.49; NSSI frequency: t426=−0.98 and P=.33).Conclusions:Our findings suggest that youths and young adults who participated in remote IOP had significant reductions in depression, suicidal ideation, and NSSI. Given access to the same remote high-acuity care, youths and young adults on both public and private insurance engaged in programming at comparable rates and achieved similar improvements in clinical outcomes.

Youth experiencing high-acuity mental health symptoms often require highly restrictive levels of care (ie, inpatient care) that removes them from the relationships and activities essential for healthy development. An alternative treatment gaining evidence in its ability to support this population is the intensive outpatient programming (IOP) model. Understanding the experiences of adolescents and young adults during IOP treatment episodes may enhance clinical responsiveness to changing needs and protect against transfer to inpatient care. The objective of the analysis reported here was to identify heretofore unrecognized treatment needs of adolescents and young adults attending a remote IOP to help the program make clinical and programmatic decisions that increase its ability to support the recovery of program participants. Treatment experiences are collected weekly via electronic journals as part of ongoing quality improvement efforts. The journals are used by clinicians proximally to help them identify youth in crisis and distally to help them better understand and respond to the needs and experiences of program participants. Journal entries are downloaded each week, reviewed by program staff for evidence of the need for immediate intervention, and later deidentified and shared with quality improvement partners via monthly uploads to a secure folder. A total of 200 entries were chosen based on inclusion criteria that focused primarily on having at least one entry at 3 specified time points across the treatment episode. Overall, 3 coders analyzed the data using open-coding thematic analysis from an essentialist perspective such that the coders sought to represent the data and thus the essential experience of the youth as closely as possible. Three themes emerged: mental health symptoms, peer relations, and recovery. The mental health symptoms theme was not surprising, given the context within which the journals were completed and the journal instructions asking that they write about how they are feeling. The peer relations and recovery themes provided novel insight, with entries included in the peer relations theme demonstrating the central importance of peer relationships, both within and outside of the therapeutic setting. The entries contained under the recovery theme described experience of recovery in terms of increases in function and self-acceptance versus reductions in clinical symptoms. These findings support the conceptualization of this population as youth with both mental health and developmental needs. In addition, these findings suggest that current definitions of recovery may inadvertently miss supporting and documenting treatment gains considered most important to the youth and young adults receiving care. Taken together, youth-serving IOPs may be better positioned to treat youth and assess program impact through the inclusion of functional measures and attention to fundamental tasks of the adolescent and young adult developmental periods.

Background:The youth mental health crisis in the United States continues to worsen, and research has shown poor mental health treatment engagement. Despite the need for personalized engagement strategies, there is a lack of research involving youth. Due to complex youth developmental milestones, there is a need to better understand clinical presentation and factors associated with treatment engagement to effectively identify and tailor beneficial treatments.Objective:This quality improvement investigation sought to identify subgroups of clients attending a remote intensive outpatient program (IOP) based on clinical acuity data at intake, to determine the factors associated with engagement outcomes for clients who present in complex developmental periods and with cooccurring conditions. The identification of these subgroups was used to inform programmatic decisions within this remote IOP system.Methods:Data were collected as part of ongoing quality improvement initiatives at a remote IOP for youth and young adults. Participants included clients (N=2924) discharged between July 2021 and February 2023. A latent profile analysis was conducted using 5 indicators of clinical acuity at treatment entry, and the resulting profiles were assessed for associations with demographic factors and treatment engagement outcomes.Results:Among the 2924 participants, 4 profiles of clinical acuity were identified: a low-acuity profile (n=943, 32.25%), characterized by minimal anxiety, depression, and self-harm, and 3 high-acuity profiles defined by moderately severe depression and anxiety but differentiated by rates of self-harm (high acuity+low self-harm: n=1452, 49.66%; high acuity+moderate self-harm: n=203, 6.94%; high acuity+high self-harm: n=326, 11.15%). Age, gender, transgender identity, and sexual orientation were significantly associated with profile membership. Clients identified as sexually and gender-marginalized populations were more likely to be classified into high-acuity profiles than into the low-acuity profile (eg, for clients who identified as transgender, high acuity+low self-harm: odds ratio [OR] 2.07, 95% CI 1.35-3.18; P<.001; high acuity+moderate self-harm: OR 2.85, 95% CI 1.66-4.90; P<.001; high acuity+high self-harm: OR 3.67, 95% CI 2.45-5.51; P<.001). Race was unrelated to the profile membership. Profile membership was significantly associated with treatment engagement: youth and young adults in the low-acuity and high-acuity+low–self-harm profiles attended an average of 4 fewer treatment sessions compared with youth in the high-acuity+moderate–self-harm and high-acuity+high–self-harm profiles (ꭓ23=27.6, P<.001). Individuals in the high-acuity+low–self-harm profile completed treatment at a significantly lower rate relative to the other 2 high-acuity profiles (ꭓ23=13.4, P=.004). Finally, those in the high-acuity+high–self-harm profile were significantly less likely to disengage early relative to youth in all other profiles (ꭓ23=71.12, P<.001).Conclusions:This investigation represents a novel application for identifying subgroups of adolescents and young adults based on clinical acuity data at intake to identify patterns in treatment engagement outcomes. Identifying subgroups that differentially engage in treatment is a critical first step toward targeting engagement strategies for complex populations.

The COVID-19 pandemic has profoundly transformed substance use disorder (SUD) treatment in the United States, with many web-based treatment services being used for this purpose. However, little is known about the long-term treatment effectiveness of SUD interventions delivered through digital technologies compared with in-person treatment, and even less is known about how patients, clinicians, and clinical characteristics may predict treatment outcomes. This study aims to analyze baseline differences in patient demographics and clinical characteristics across traditional and telehealth settings in a sample of participants (N=3642) who received intensive outpatient program (IOP) substance use treatment from January 2020 to March 2021. The virtual IOP (VIOP) study is a prospective longitudinal cohort design that follows adult (aged ≥18 years) patients who were discharged from IOP care for alcohol and substance use-related treatment at a large national SUD treatment provider between January 2020 and March 2021. Data were collected at baseline and up to 1 year after discharge from both in-person and VIOP services through phone- and web-based surveys to assess recent substance use and general functioning across several domains. Initial baseline descriptive data were collected on patient demographics and clinical inventories. No differences in IOP setting were detected by race (χ =0.1; P=.96), ethnicity (χ =0.8; P=.66), employment status (χ =2.5; P=.29), education level (χ =7.9; P=.10), or whether participants presented with multiple SUDs (χ =11.4; P=.18). Significant differences emerged for biological sex (χ =8.5; P=.05), age (χ =26.8; P<.001), marital status (χ =20.5; P<.001), length of stay (F =148.67; P<.001), and discharge against staff advice (χ =10.6; P<.01). More differences emerged by developmental stage, with emerging adults more likely to be women (χ =40.5; P<.001), non-White (χ =15.8; P<.001), have multiple SUDs (χ =453.6; P<.001), have longer lengths of stay (F =13.51; P<.001), and more likely to be discharged against staff advice (χ =13.3; P<.01). The findings aim to deepen our understanding of SUD treatment efficacy across traditional and telehealth settings and its associated correlates and predictors of patient-centered outcomes. The results of this study will inform the effective development of data-driven benchmarks and protocols for routine outcome data practices in treatment settings.

Family scientists can face the challenge of effectively and efficiently recruiting normative samples of parents and families. Utilizing the Internet to recruit parents is a strategic way to find participants where they already are, enabling researchers to overcome many of the barriers to in-person recruitment. The present study was designed to compare three online recruitment strategies for recruiting parents: e-mail Listservs, Facebook, and Amazon Mechanical Turk (MTurk). Analyses revealed differences in the effectiveness and efficiency of data collection. In particular, MTurk resulted in the most demographically diverse sample, in a short period of time, with little cost. Listservs reached a large number of participants and resulted in a comparatively homogeneous sample. Facebook was not successful in recruiting a general sample of parents. Findings provide information that can help family researchers and practitioners be intentional about recruitment strategies and study design.

The opioid epidemic represents a national crisis. Oxycodone is one of the most prescribed opioid medications in the United States, whereas buprenorphine is currently the most prescribed medication for opioid use disorder (OUD) pharmacotherapy. Given the extensive use of prescription opioids and the global opioid epidemic, it is essential to understand how opioids modulate brain cell type function at the single-cell level. We performed single nucleus RNA-seq (snRNA-seq) using iPSC-derived forebrain organoids from three male OUD subjects in response to oxycodone, buprenorphine, or vehicle for seven days. We utilized the snRNA-seq data to identify differentially expressed genes following drug treatment using the Seurat integrative analysis pipeline. We utilized iPSC-derived forebrain organoids and single-cell sequencing technology as an unbiased tool to study cell-type-specific and drug-specific transcriptional responses. After quality control filtering, we analyzed 25787 cells and identified sixteen clusters using unsupervised clustering analysis. Our results reveal distinct transcriptional responses to oxycodone and buprenorphine by iPSC-derived brain organoids from patients with OUD. Specifically, buprenorphine displayed a significant influence on transcription regulation in glial cells. However, oxycodone induced type I interferon signaling in many cell types, including neural cells in brain organoids. Finally, we demonstrate that oxycodone, but not buprenorphine activated STAT1 and induced the type I interferon signaling in patients with OUD. These data suggest that elevation of STAT1 expression associated with OUD might play a role in transcriptional regulation in response to oxycodone. In summary, our results provide novel mechanistic insight into drug action at single-cell resolution.