The latent structure of the Delis-Kaplan system for autism.

A core feature of autism is deficits in executive functioning (EF), including difficulty with planning, cognitive flexibility, and working memory. Despite a growing need for evidence-based assessments of EF for autism populations, statistical models of many commonly used measures of EF, including the Delis-Kaplan Executive Function System (D-KEFS), have not been investigated for a sample of autistic participants. The purpose of this study was to address a gap in the literature regarding the latent structure of the D-KEFS in a sample of autistic individuals. The D-KEFS is one of the most widely used clinical assessments of executive function, but its factor structure has not been examined in a sample of autistic participants. Reliability analyses were performed for sample subgroups based on participants' clinical and demographic characteristics, including IQ, autism severity, age, and race/ethnicity. Verbal Fluency (VF) was found to consistently decrease or not affect the overall reliability score. Additionally, one- and two-factor structure models were tested for the D-KEFS with a sample of autistic participants. The one-factor model was not found to be a good fit for the data. However, the two-factor model, with Cognitive Flexibility and Abstraction latent factors, was found to fit the data relatively well. This two-factor model was reexamined excluding the VF observed variable, resulting in a better overall model fit. Communication deficits are a common feature of autism, which explains why the VF task, that requires participants to produce novel words, may not be an adequate measure of executive function for autism populations.

Enhancing pre-employment transition services: A type 1 hybrid randomized controlled trial protocol for evaluating WorkChat: A Virtual Workday among autistic transition-age youth.

Autistic transition-age youth experience high rates of unemployment and underemployment, in part due to the social challenges they may face when having conversations in the workplace. In an effort to help enhance conversational abilities in the workplace, our collaborative team partnered to develop WorkChat: A Virtual Workday. Specifically, our team of scientists, community partners, and diversity and inclusion experts participated in a community-engaged process to develop WorkChat using iterative feedback from autistic transition-age youth and their teachers. With initial development complete, this study reports on the protocol that our collaborative team developed, reviewed, and approved to conduct a randomized controlled trial (RCT) to evaluate the real-world effectiveness and initial implementation process outcomes of WorkChat when integrated into post-secondary pre-employment transition services (Pre-ETS). Our aims are to: 1) evaluate whether services-as-usual in combination with WorkChat, compared to services-as-usual with an attention control, enhances social cognition and work-based social ability (between pre- and post-test); reduces anxiety about work-based social encounters (between pre- and post-test), and increases sustained employment by 9-month follow-up; 2) evaluate whether social cognitive ability and work-based social ability mediate the effect of WorkChat on sustained employment; and 3) conduct a multilevel, mixed-method process evaluation of WorkChat implementation.

Current Status of Evidence-Based Practices to Enhance Employment Outcomes for Transition Age Youth and Adults on the Autism Spectrum.

PURPOSE OF REVIEW: This review provides a highlight of existing evidence-based practices and community support systems that exist to enhance employment outcomes for autistic transition-age youth (TAY) and adults. An update is provided on the current status of these programs and the impact they are having on employment outcomes for this population. RECENT FINDINGS: Many programs exist that prove to be efficacious in improving employment outcomes. These programs can be categorized as vocational rehabilitation service system level interventions, provider and consumer level interventions targeting skills related to employment, and consumer level interventions delivered within community vocational rehabilitation or education settings. A more recent increase in programs is consistent with multiple research and policy calls for amplified programming in this area. Despite these recent increases, there is still a need to further develop effective programming to support employment outcomes as the growing autistic population age into adulthood. Community-based research and practice should continue to be developed and tested.

Psychotropic Medication Use by Children with Autism Served in Publicly Funded Mental Health Settings.

OBJECTIVE: The aim of this study was to characterize patterns of and factors associated with psychotropic medication use in children with autism spectrum disorder (ASD) receiving publicly funded mental health services. METHOD: Data were extracted from 202 children with ASD participating in a cluster randomized trial of An Individualized Mental Health Intervention for ASD conducted in 29 publicly funded mental health programs. Children with ASD were aged 5 to 13 years (M = 9.1 years, SD = 2.4), and were 84.2% male and 59.9% Latinx. Child ASD and cognitive functioning were determined by standardized assessment. Caregivers reported child psychotropic medication use, behavior problems, ASD symptom severity, mental health symptoms, family demographics, and caregiver strain at the baseline. RESULTS: Nearly half (49.5%) of participants used psychotropic medication(s) within the past 6 months, with stimulants being most commonly reported. Child co-occurring attention-deficit/hyperactivity disorder (ADHD) (B = 1.55, p < 0.01; 95% confidence interval [CI]: 0.53-2.57), lower cognitive functioning (B = -0.03, p = 0.02; 95% CI: -0.05 to <0.00), and non-Hispanic White ethnicity (vs Hispanic/Latinx; B = 1.02, p = 02; 95% CI: -1.89 to -0.14) were associated with a greater likelihood of using any type of medication. Factors associated with medication use varied by class: stimulants-ADHD, lower ASD symptom severity, and more intensive behavior problems; SSRIs-higher ASD symptom severity; alpha-2 agonists-ADHD, higher ASD symptom severity, lower cognitive functioning, and higher caregiver strain; and antipsychotics-none. CONCLUSION: The findings highlight factors associated with psychotropic medication use for a clinically complex population, which may inform community care improvement efforts.

A Cognitive Behavioral Intervention for Driving for Autistic Teens and Adults: A Pilot Study.

Background: For many autistic individuals approaching adulthood, interventions to promote skills toward independence are lacking. Driving is an important ability to cultivate as it may be a critical step to attaining independence, securing and maintaining work, and fostering relationships. Only about one third of able autistic individuals drive independently, and fear to drive is a common reason for not driving. Methods: This initial pilot study was a 3-month open trial to investigate the feasibility, acceptability, and initial estimates of outcomes for the newly developed Cognitive Behavioral Intervention for Driving (CBID) intervention, a manualized curriculum to enhance executive functioning (EF) and emotional regulation (ER) skill development for driving, combined with individualized commentary-based driving simulator practice, in autistic teens and adults within a community research environment. Nineteen participants received the CBID intervention in 1.5-hour group sessions for 10 weeks, across two cohorts, with approximately five individualized driving simulator sessions. Data were collected on anxiety symptoms, driving cognitions, driving attitudes, and simulated driving performance at pre- and post-intervention assessments. Results: Program completion rate was 81%. Participants and parents rated both the intervention and simulator practice sessions with high satisfaction. All the participants (100%) reported both a positive attitude change (interest toward driving) and a desire to drive in the future at the post-intervention assessment. Significant changes occurred for driving cognitions, attitudes, and behaviors, and 47% of participants obtained a driver's permit or license by 2 months post-intervention. Conclusions: For autistic individuals, the CBID intervention appeared to directly impact the pursuit toward driving goals by both increasing driving attitudes and behaviors and reducing anxiety/apprehension. This highlights the need for driving intervention programs designed specific to autistic teens/adults that focus on EF and ER skills coupled with individualized simulator practice. CBID could be provided in community services to increase the number of autistic individuals driving. Lay summary: Why was this study done?: Driving contributes greatly to independence in many teens and adults. Anxiety can act as a barrier to that independence by affecting driving attitudes, ability and performance. Autistic individuals are often affected by anxiety, executive functioning, and emotion regulation challenges. Previous studies show that virtual reality training and Cognitive Behavioral Therapy (CBT), separately, can reduce driving anxiety in autistic individuals and support driving skills. However, to date, no studies have developed and tested a manualized intervention specific to driving that combines such methods.What was the purpose of this study?: The goal of this study was to develop and test a group intervention, called Cognitive Behavioral Intervention for Driving (CBID), combined with individualized, coached driving simulator practice to help reduce fears and increase cognitions, attitudes and performance towards driving. The study examined the following questions: 1) Do autistic individuals actively participate in CBID? 2) Do autistic participants like CBID? and 3) Are autistic participants more prepared to drive after taking part in CBID than they were before they participated in the program?What did the researchers do?: After developing the CBID intervention with community member involvement, the researchers ran 2 intervention groups and individualized driving simulator sessions to a total of 19 enrolled participants. The group intervention focused on strengthening executive functioning and emotion regulation skills in 1.5 hour sessions over 10 weeks and 5, 1 hour driving simulator sessions. Researchers compared data on participant anxiety levels, driving cognitions, attitudes, and performance before and after the intervention.What were the results of the study?: Most of the participants completed the program (81%) and all (100%) rated satisfaction with the group and simulator practice. All (100%) of the participants changed attitudes towards driving. Participants had higher levels of positive thoughts about driving, better attitudes towards wanting to drive and less driving errors (like speeding, collisions, crossing lanes) on the driving simulator after completing CBID. Almost half (47%) of participants obtained a driver's permit or license by 2 months after the intervention.What do these findings add to what was already known?: This study adds a new option of an integrated approach, CBID, for addressing driving anxiety or apprehension. It provides initial findings of the value of incorporating executive functioning skills with traditional cognitive behavior therapy for enhancing driving readiness.What are the potential weaknesses in the study?: This study contained a small sample size that was mostly white male participants. This limits generalizing the results to a representative diverse population. It also did not have a control group or use randomization which means that results can't be interpreted as causal at this time. There was no information about participants obtaining permit/licensure later than 2 months after CBID so it is unclear if some participants require more time to pursue a license. There was no follow up to understand if participants continued to feel comfortable driving overtime.How will these findings help autistic adults now or in the future?: This study showed that it's possible to combine virtual reality training and Cognitive Behavioral Therapy into one driving readiness program. The new CBID program may help autistic adults by addressing multiple aspects of what they need to be ready to drive. Since the study used previously tested strategies, enrolled a community sample, manualized the program, and used a services approach, it was designed for broad distribution to other community settings.

The Autism Impact Measure (AIM): Examination of Sensitivity to Change.

The Autism Impact Measure (AIM) was designed specifically for treatment-outcome assessment in children with ASD, focusing on treatment-relevant aspects of symptom presentation and efficient detection of short-term improvement. The AIM demonstrated strong reliability and validity in initial psychometric studies. The current study evaluated the AIM's sensitivity to change across well-established treatments. The sample included 471 children with ASD (ages 2-14) participating in one of six treatments. The AIM was administered at baseline and 6-week intervals and a battery of domain-specific concurrent measures was also administered. A longitudinal repeated measures design examined the degree to which: (a) AIM domain scores changed over time in response to treatment and (b) change in AIM domains was associated with change in measures of similar constructs. Results across growth curve models indicated that AIM domains are sensitive to change in symptoms across treatment. Across all models, symptoms decreased over time, with some deceleration in rate of improvement. For all AIM domains except Repetitive Behavior, symptoms improved as a function of treatment group. Correlations of change between AIM and other measures varied across domains (from 0.01-0.43 across measures). This was the first large-scale study to systematically evaluate sensitivity to change in a measure of core ASD symptoms. The results provide support for the AIM's ability to detect short-term improvement across symptom domains and indicate that AIM domains are sensitive to change overall and as a function of different treatment conditions. The brief repeated assessment window also highlights the AIM's utility for detecting improvements across short-term treatments. Autism Res 2020, 13: 1867-1879. © 2020 International Society for Autism Research and Wiley Periodicals LLC LAY SUMMARY: Good measures are important for assessing outcomes in children with autism. However, there are few tools for tracking short-term changes in autism symptoms. This study tested a new measure, the Autism Impact Measure (AIM), in a large group of children with autism. The results showed that the AIM appears to be a valid and accurate tool for measuring autism symptoms. The AIM may be a helpful tool for researchers and clinicians interested in tracking short-term improvements in autism symptoms.

Using community-engaged methods to adapt virtual reality job-interview training for transition-age youth on the autism spectrum.

BACKGROUND: Virtual Reality Job-Interview Training (VR-JIT) is an efficacious Internet-based intervention for adults with severe mental illness (SMI). Evaluations of VR-JIT have shown improved interview skill and access to employment in several cohorts of adults with SMI and with autism spectrum disorders (ASD). VR-JIT trains participants how to fill out job applications and handle job interviews through e-learning content and applied practice. Trainees receive feedback through in-the-moment nonverbal cues, critiques, and recommendations for improving performance. Our study sought to adapt VR-JIT for transition-age youth with ASD (TAY-ASD). METHODS: We recruited TAY-ASD and adult stakeholders from public and charter schools, transition programs, and community service providers. Participants provided feedback on VR-JIT to enhance its applicability to TAY-ASD. We used community-engaged methods to process and analyze data from TAY-ASD and stakeholders, presented their quantitative and qualitative responses to community and scientific advisory boards for review and recommendations, and adapted the intervention design and content. RESULTS: Our adaptations included adding diversity (gender; race/ethnicity) to the virtual hiring manager; shortening the interview by reducing response options; increasing social storytelling to enhance engagement with VR-JIT core components; adding employment opportunities more relevant to younger workers; reducing the reading level; and making the e-learning content more accessible by adding bullet points, voiceover, and imagery/video; and adding new learning goals. CONCLUSIONS: This study presents a rigorous and innovative community-engaged methodology for adapting VR-JIT to meet the needs of TAY-ASD. We review our engagement with TAY-ASD and stakeholders, and discuss the standardized coding scheme we used to adapt VR-JIT and the usefulness and limitations of employing this methodology in adapting other behavioral interventions.

Construct Validity of the Autism Impact Measure (AIM).

The Autism Impact Measure (AIM) was designed to track incremental change in frequency and impact of core ASD symptoms. The current study examined the structural and convergent validity of the AIM in a large sample of children with ASD. The results of a series of exploratory and confirmatory factor analyses yielded a final model with five theoretically and empirically meaningful subdomains: Repetitive Behavior, Atypical Behavior, Communication, Social Reciprocity, and Peer Interaction. The final model showed very good fit both overall and for each of the five factors, indicating excellent structural validity. AIM subdomain scores were significantly correlated with measures of similar constructs across all five domains. The results provide further support for the psychometric properties of the AIM.

Brief Report: Calculation and Convergent and Divergent Validity of a New ADOS-2 Expressive Language Score.

Despite the importance of expressive language for individuals with autism spectrum disorder (ASD), expressive language assessments are not consistently included in ASD research and many studies do not adequately describe participants' verbal abilities. A valid and efficient measure of expressive language would facilitate consistent reporting across ASD research studies and provide data for additional analyses. The current study developed a new Autism Diagnostic Observation Schedule (ADOS-2) expressive language score and examined convergent and divergent validity in a large, well-defined sample of children with ASD. This score was highly correlated with other measures of expressive language (including parent-report, direct assessment, and clinician ratings) and less strongly correlated with measures of receptive language and nonverbal cognitive ability, providing good evidence of convergent and divergent validity.

Autism spectrum disorder and the science of social work: A grand challenge for social work research.

The social work profession has not yet taken a leadership role in addressing the myriad of challenges that individuals on the autism spectrum encounter across the lifespan. In this essay, we argue that social workers are well equipped to engage in research and practice aimed at promoting full and meaningful inclusion in society, as well as social and economic justice, for individuals on the autism spectrum. We highlight short- and long-term goals that provide the social work profession with a framework to engage in research, practice, education, and advocacy aimed at supporting individuals on the autism spectrum and their families.

Effectiveness of Training Therapists to Deliver An Individualized Mental Health Intervention for Children With ASD in Publicly Funded Mental Health Services: A Cluster Randomized Clinical Trial.

Importance: Publicly funded mental health services play an important role in addressing co-occurring mental health problems in children with autism spectrum disorder (ASD); however, therapists report lacking training to effectively serve this complex population. Objective: To test the effectiveness of training community therapists in An Individualized Mental Health Intervention for ASD (AIM HI) on challenging behaviors across 18 months among children with ASD and identify moderators and mediators of any intervention effects. Design, Setting, and Participants: Cluster randomized trial conducted in 29 publicly funded outpatient and school-based mental health programs in southern California from 2012 to 2017. Programs were randomized to receive immediate AIM HI training or provide usual care followed by receipt of AIM HI training. Therapist participants were recruited from enrolled programs, and child participants were recruited from participant therapists' caseloads. Data were analyzed from 202 children with ASD who were aged 5 to 13 years. Interventions: The AIM HI protocol is a package of parent-mediated and child-focused strategies aimed to reduce challenging behaviors in children with ASD who are 5 to 13 years old. It was designed for delivery in publicly funded mental health services based on a systematic assessment of therapist training needs and child clinical needs. The therapist training and consultation process takes approximately 6 months and includes an introductory workshop, 11 structured consultation meetings as the therapist delivers AIM HI with a current client, and case-specific performance feedback from trainers. Main Outcomes and Measures: Child participants were assessed for challenging behaviors using the Eyberg Child Behavior Inventory (ECBI) and Social Skills Improvement System (SSIS) Competing Problem Behaviors scales based on parent report at baseline and at 6-month intervals for 18 months. Outcomes were analyzed using intent-to-treat models. Results: In total, 202 children with ASD (mean [SD] age, 9.1 [2.4] years; 170 [84.2%] male; 121 [59.9%] Latinx) were eligible, enrolled, and included in the analyses. Statistically significant group by time interactions for the ECBI Intensity (B = -0.38; P = .02) and ECBI Problem (B = -1.00; P = .005) scales were observed, with significantly larger decreases in ECBI Intensity scores in the AIM HI group (B = -1.36; P < .001) relative to the usual care group (B = -0.98; P < .001) and a significantly larger decrease in ECBI Problem scores in the AIM HI group (B = -1.22; P < .001) relative to the usual care group (B = -0.20; P = .29). Therapist fidelity moderated these intervention effects. Conclusions and Relevance: The present findings support the effectiveness of training therapists to deliver the AIM HI model to children with ASD receiving publicly funded mental health services. Trial Registration: ClinicalTrials.gov identifier: NCT02416323.

Characterizing psychiatric comorbidity in children with autism spectrum disorder receiving publicly funded mental health services.

Publicly funded mental health programs play a significant role in serving children with autism spectrum disorder. Understanding patterns of psychiatric comorbidity for this population within mental health settings is important to implement appropriately tailored interventions. This study (1) describes patterns of psychiatric comorbidity in children with autism spectrum disorder who present to mental health services with challenging behaviors and (2) identifies child characteristics associated with comorbid conditions. Data are drawn from baseline assessments from 201 children with autism spectrum disorder who participated in a community effectiveness trial across 29 publicly funded mental health programs. Non-autism spectrum disorder diagnoses were assessed using an adapted Mini-International Neuropsychiatric Interview, parent version. Approximately 92% of children met criteria for at least one non-autism spectrum disorder diagnosis (78% attention deficit hyperactivity disorder, 58% oppositional defiant disorder, 56% anxiety, 30% mood). Logistic regression indicated that child gender and clinical characteristics were differentially associated with meeting criteria for attention deficit hyperactivity disorder, oppositional defiant disorder, an anxiety, or a mood disorder. Exploratory analyses supported a link between challenging behaviors and mood disorder symptoms and revealed high prevalence of these symptoms in this autism spectrum disorder population. Findings provide direction for tailoring intervention to address a broad range of clinical issues for youth with autism spectrum disorder served in mental health settings.

Development of the Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills program for adults on the autism spectrum: Results of initial study.

The population of adults on the autism spectrum continues to increase, and vocational outcomes are particularly poor. Longitudinal studies of adults with autism spectrum and without intellectual disability have shown consistent and persistent deficits across cognitive, social, and vocational domains, indicating a need for effective treatments of functional disabilities as each impact employment. This initial pilot study is an open trial investigation of the feasibility, acceptability, and initial estimates of outcomes for the newly developed Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills intervention, a manualized "soft skills" curriculum, to enhance both cognitive and social development in adults with autism spectrum. A total of eight adults with autism spectrum, without intellectual disability (78% males), participated in the study. Results support the original hypothesis that adults with autism spectrum can improve both cognitive (i.e. executive functioning) and social cognitive (i.e. social thinking and social communication) abilities. Further Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills was found to be feasible, acceptable, and highly satisfactory for participants and parents. Employment rates more than doubled post-intervention, with an increase from 22% to 56% of participants employed. Conclusion is that Supported Employment, Comprehensive Cognitive Enhancement, and Social Skills has promise as an intervention that can be easily embedded into exiting supported employment vocational training programs to improve cognitive, social, and vocational outcomes.

Psychiatric comorbidity in autism spectrum disorder: Correspondence between mental health clinician report and structured parent interview.

Publicly funded mental health services are critical in caring for children with autism spectrum disorder. Accurate identification of psychiatric comorbidity is necessary for effective mental health treatment. Little is known about psychiatric diagnosis for this population in routine mental health care. This study (1) examined correspondence between psychiatric diagnoses reported by mental health clinicians and those derived from a structured diagnostic interview and (2) identified predictors of agreement between clinician-reported and diagnostic interview-derived diagnoses in a sample of 197 children aged 4-14 years with autism spectrum disorder receiving mental health services. Data were drawn from a randomized effectiveness trial conducted in publicly funded mental health services. Non-autism spectrum disorder diagnoses were assessed using an adapted version of the Mini-International Neuropsychiatric Interview, parent version. Cohen's kappa was calculated to examine agreement between Mini-International Neuropsychiatric Interview, parent version and clinician-reported diagnoses of comorbid conditions. Children met criteria for an average of 2.83 (standard deviation = 1.92) Mini-International Neuropsychiatric Interview, parent version diagnoses. Agreement was poor across all diagnostic categories (κ values: 0.06-0.18). Logistic regression identified child gender and clinical characteristics as significant predictors of agreement for specific diagnoses. Results underscore the need for training mental health clinicians in targeted assessment of specific psychiatric disorders and prioritizing treatment development and testing for specific diagnoses to improve care for children with autism spectrum disorder served in publicly funded mental health settings.

Factors contributing to reduced caregiver strain in a publicly-funded child mental health system.

This study examined caregiver strain in families who initiated mental health services for their child. Predictors of strain and the bidirectional relation between strain and child symptoms were examined. Participants included 218 children ages 4-13 with disruptive behavior problems and their caregivers, plus 96 psychotherapists, recruited from six publicly-funded clinics. Child disruptive behavior severity and caregiver strain were assessed at baseline, four, and eight months. Multilevel models were used to examine predictors of reduced caregiver strain, and autoregressive cross-lagged models were used to examine the bidirectional relations between change in caregiver strain and behavior problems over time. There were small to medium decreases in caregiver strain over the eight months after the initiation of mental health services, but few factors predicted change other than initial behavior problem severity. While more severe initial child symptoms predicted greater reductions in caregiver strain, greater child symptom severity sustained at four months predicted lesser improvements in caregiver strain. Simultaneously, greater caregiver strain predicted less improvement in child symptom severity, suggesting that child symptom severity and caregiver strain impact each other over time. These results suggest that attending to both child and caregiver factors may be important in maintaining improvements after initiating usual care.

Clinical Decision-Making in Community Children's Mental Health: Using Innovative Methods to Compare Clinicians With and Without Training in Evidence-Based Treatment.

BACKGROUND: Mental health professionals' decision-making practice is an area of increasing interest and importance, especially in the pediatric research and clinical communities. OBJECTIVE: The present study explored the role of prior training in evidence-based treatments on clinicians' assessment and treatment formulations using case vignettes. Specifically, study aims included using the Naturalistic Decision Making (NDM) cognitive theory to 1) examine potential associations between EBT training and decision-making processes (novice versus expert type), and 2) explore how client and family contextual information affects clinical decision-making. METHODS: Forty-eight clinicians across two groups (EBT trained=14, Not EBT trained=34) participated. Clinicians were comparable on professional experience, demographics, and discipline. The quasi-experimental design used an analog "think aloud" method where clinicians read case vignettes about a child with disruptive behavior problems and verbalized case conceptualization and treatment planning out-loud. Responses were coded according to NDM theory. RESULTS: MANOVA results were significant for EBT training status such that EBT trained clinicians' displayed cognitive processes more closely aligned with "expert" decision-makers and non-EBT trained clinicians' decision processes were more similar to "novice" decision-makers, following NDM theory. Non-EBT trained clinicians assigned significantly more diagnoses, provided less detailed treatment plans and discussed fewer EBTs. Parent/family contextual information also appeared to influence decision-making. CONCLUSION: This study offers a preliminary investigation of the possible broader impacts of EBT training and potential associations with development of expert decision-making skills. Targeting clinicians' decision-making may be an important avenue to pursue within dissemination-implementation efforts in mental health practice.

Does Patient Race/Ethnicity Influence Physician Decision-Making for Diagnosis and Treatment of Childhood Disruptive Behavior Problems?

Race/ethnic disparities in utilization of children's mental health care have been well documented and are particularly concerning given the long-term risks of untreated mental health problems (Institute of Medicine, 2003; Kessler et al. Am J Psychiatry 152:10026-1032, 1995). Research investigating the higher rates of unmet need among race/ethnic minority youths has focused primarily on policy, fiscal, and individual child or family factors that can influence service access and use. Alternatively, this study examines provider behavior as a potential influence on race/ethnic disparities in mental health care. The goal of the study was to examine whether patient (family) race/ethnicity influences physician diagnostic and treatment decision-making for childhood disruptive behavior problems. The study utilized an internet-based video vignette with corresponding survey of 371 randomly selected physicians from across the USA representing specialties likely to treat these patients (pediatricians, family physicians, general and child psychiatrists). Participants viewed a video vignette in which only race/ethnicity of the mother randomly varied (non-Hispanic White, Hispanic, and African American) and then responded to questions about diagnosis and recommended treatments. Physicians assigned diagnoses such as oppositional defiant disorder (48 %) and attention deficit disorder (63 %) to the child, but there were no differences in diagnosis based on race/ethnicity. The majority of respondents recommended psychosocial treatment (98 %) and/or psychoactive medication treatment (60 %), but there were no significant differences based on race/ethnicity. Thus, in this study using mock patient stimuli and controlling for other factors, such as insurance coverage, we did not find major differences in physician diagnostic or treatment decision-making based on patient race/ethnicity.

Therapist, Parent, and Youth Perspectives of Treatment Barriers to Family-Focused Community Outpatient Mental Health Services.

This exploratory qualitative study describes treatment barriers to receiving family-focused child mental health services for youths with disruptive behavior problems from multiple perspectives. Data were collected during a series of focus groups and interviews, including: 4 therapist focus groups, 3 parent focus groups, and 10 youth semi-structured interviews. Therapist, parent, and youth stakeholder participants discussed perceived barriers to effective treatment, the problems with current child outpatient therapy, and desired changes (i.e., policy, intervention, etc.) to improve mental health services. Results indicate similar themes around treatment barriers and dissatisfaction with services within and across multiple stakeholder groups, including inadequate support and lack of family involvement; however, parents and therapists, in particular, identified different contributing factors to these barriers. Overall, stakeholders reported much frustration and dissatisfaction with current community-based outpatient child therapy services. Study findings can inform service provision, intervention development, and future research.

Is screening for depression in the perinatal period enough? The co-occurrence of depression, substance abuse, and intimate partner violence in culturally diverse pregnant women.

BACKGROUND: The perinatal period provides unique opportunities to identify and intervene with the co-occurrence of perinatal depression, intimate partner violence (IPV), and substance use problems. Psychosocial screening recommended for women seen in maternal child health settings tends to target single rather than multiple risk factors; there is limited research examining the co-occurrence of these issues especially in racially and ethnically diverse women across the perinatal period. These analyses explore the relationships of sociodemographic, psychosocial, and behavioral characteristics in a large, diverse sample of women. METHOD: Women receiving perinatal services at routinely scheduled visits, including the 6-week postpartum visit, were recruited from 10 community obstetric/gynecologic clinics. Data were collected on perinatal depression, IPV, maternal substance use, and sociodemographic characteristics by bilingual, bicultural research assistants. RESULTS: A total of 1868 women were screened, 1526 (82%) Latina, 1099 (58.8%) interviewed in Spanish; 20.4% (n=382) screened positive for depressive symptoms based on an Edinburgh Postnatal Depression Scale score of 10 or above, 20.9% reported harmful drinking, 4.3% reported drug use, 23% reported substance use problems, and 3.5% reported current or recent IPV. Women who were Black, Asian, Pacific Islander, or other race/ethnicity had greater odds for depressive symptoms relative to women who were Hispanic or Latino (odds ratio [OR]=1.81, p=0.005). Women reporting substance use problems (OR=2.37, p<0.0001) and IPV (OR=3.98, p<0.0001) had higher odds for depressive symptoms. CONCLUSION: In a predominately Latina sample, 1 in 5 mothers (20.4%) screened positive for depressive symptoms and over one third (36.7%) reported one or more psychosocial issues during the perinatal period. Screening for multiple risk factors rather than just one can help clinicians tailor interventions for the successful management of psychosocial issues.