The perceived impact of climate change on mental health and suicidality in Kenyan high school students.

BACKGROUND: Climate change has psychological impacts but most of the attention has been focused on the physical impact. This study was aimed at determining the association of climate change with adolescent mental health and suicidality as reported by Kenyan high school students. METHODS: This was a cross sectional study with a sample size of 2,652. The participants were high school students selected from 10 schools in 3 regions of Kenya. A questionnaire was used to assess climate change experiences, mental health problems, and suicidality of the youth. Data were analyzed descriptively and with logistic regression to determine various associations of the different variables and the predictors of the various scores of SDQ and suicidality at 95% CI. RESULTS: Significant differences were observed between gender and two of the threats of climate change - worry and being afraid as subjectively experienced by the participants. Females were more worried and afraid of climate change than males. On univariate and multivariate logistic regression, we found that various experiences of climate change were significantly associated with various scores of SDQ and much fewer of the experiences predicted SDQ scores. The same pattern was reflected in suicidality. CONCLUSION: Climate change appears to be associated with mental health concerns and suicidality according to Kenyan high school students' reports with gender differences in some associations.

Meta-analysis of Psychotherapy for Autistic Youth.

In order to provide more individualized support, it is imperative to further understand the effectiveness of different types of psychotherapy on the clinical areas of need common in autistic youth (Wood et al. in Behav Ther 46:83-95, 2015). Randomized controlled trials of psychotherapy for autistic youth were included if published in English, included random assignment to treatment or control group, required a previous diagnosis of autism, had a mean age of 6-17 years, and provided outcome measure data from both intervention and control groups. A total of 133 measures were coded across 29 studies and included 1464 participants with a mean age of 10.39 years (1.89). A small mean effect size (0.38,95% CI [0.26, 0.47]) was found overall, with the largest effects for cognitive behavioral therapies on autism-related clinical needs (0.81) and overall mental health (0.78). The results show the significant impact of psychotherapy interventions for autistic youth. Additional research should further assess the details of the most effective psychotherapies for each area of clinical need.

Is respiratory sinus arrhythmia a modifiable index of symptom change in cognitive behavioral therapy for youth? A pooled-data analysis of a randomized trial.

OBJECTIVE: We evaluated whether respiratory sinus arrhythmia (RSA) reactivity and resting RSA-physiological markers reflecting the increase in heart rate with inspiration and decrease during expiration related to parasympathetic influence on the heart-are modifiable and predict symptom change during youth psychotherapy. Methods: Diverse youth (N = 158; ages 7-15; 48.1% female) received the Modular Approach to Therapy for Children and completed pre-treatment (pre), post-treatment (post), and 18-months postbaseline (18Mo) assessments. We measured resting RSA, RSA reactivity during stress induction, and psychopathology symptoms. Results: Pre-to-post and pre-to-18Mo, reactivity decreased, and resting RSA increased. Changes in reactivity and resting RSA, separately, did not predict reduced psychopathology. Yet, decreased reactivity combined with increased resting RSA predicted reduced psychopathology over time, suggesting that observed RSA changes were beneficial for some. Higher dosage of a module utilizing slow-breathing, muscle-relaxation, and imagery predicted greater pre-to-18Mo changes in reactivity and resting RSA, whereas a similar module with less emphasis on slow-breathing did not. Conclusions: Findings raise the possibility that youth reactivity and resting RSA could be modifiable during cognitive behavioral therapy and contribute to the amelioration of psychopathology. More studies are needed to determine whether resting RSA and RSA reactivity are modifiable indices of symptom change in slow-breathing practices and psychotherapy. CLINICALTRIALS.GOV IDENTIFIER: NCT03153904, registered May 15, 2017.

The Content of Usual Clinical Care for Youth with Primary Anxiety Problems.

The current study was designed to describe usual clinical care for youth with primary anxiety problems in community mental health centers. The observer-rated Therapy Process Observational Coding System for Child Psychotherapy - Revised Strategies scale (TPOCS-RS), designed to assess therapeutic techniques from five theory-based domains, was used to code sessions (N = 403) from the usual clinical care group of two randomized effectiveness trials: (a) Youth Anxiety Study (YAS) with 21 youth (M age = 10.44 years, SD = 1.91; 49.2% Latinx; 46.6%, 53.4% male) and 16 clinicians (77.5% female; 43.8% White), and (b) Child STEPS Multisite Trial with 17 youth (M age = 10.00 years, SD = 1.87; 58.8% male; 41.2% White) and 13 clinicians (M age = 40.00 years; SD = 9.18; 76.9% female; 61.5% White). The average number of TPOCS-RS items observed per treatment session was more than 10, and multiple techniques were used together in each session. All TPOCS-RS items were observed at least once throughout a clinical case, and most items reoccurred (i.e., observed in two or more sessions). The dosage of TPOCS-RS in all items was below 5 on a 7-point scale. In conclusion, clinicians in both usual care samples used a wide range of techniques from several theory-based domains at a low to medium dose. However, the type and dosage of the techniques used did vary across the two samples.

Research Review: The internalizing paradox - youth anxiety and depression symptoms, psychotherapy outcomes, and implications for research and practice.

BACKGROUND: Youth anxiety and depression have long been combined within the empirically derived internalizing syndrome. The two conditions show substantial comorbidity, symptom co-occurrence, and overlap in treatment procedures, but paradoxically diverge in psychotherapy outcomes: strong, positive effects for anxiety and weak effects for depression. METHODS: Drawing on recent research, we examine candidate explanations for this paradox to help identify strategies for addressing it by improving outcomes for youth depression. RESULTS: Candidate explanations include that youth depression, compared with youth anxiety, has more varied comorbidities and more heterogeneous symptom combinations, has greater uncertainty regarding mediators and mechanisms of change, is treated with more complex and potentially confusing protocols, and has characteristics that may impede client engagement. Candidate strategies for shrinking the psychotherapy effectiveness gap include personalizing through transdiagnostic modular treatment, simplifying therapy by focusing on empirically supported principles of change, developing effective strategies for engaging family members as intervention allies, using shared decision-making to inform clinical decisions and boost client engagement, capitalizing on youth-friendly technological advances, and shortening and digitizing treatments to enhance their accessibility and appeal. CONCLUSIONS: Recent advances suggest explanations for the internalizing paradox, which in turn suggest strategies for shrinking the youth anxiety-depression psychotherapy outcome gap; these form an agenda for a promising new era of research.

What Four Decades of Meta-Analysis Have Taught Us About Youth Psychotherapy and the Science of Research Synthesis.

Intervention scientists have published more than 600 randomized controlled trials (RCTs) of youth psychotherapies. Four decades of meta-analyses have been used to synthesize the RCT findings and identify scientifically and clinically significant patterns. These meta-analyses have limitations, noted herein, but they have advanced our understanding of youth psychotherapy, revealing (a) mental health problems for which our interventions are more and less successful (e.g., anxiety and depression, respectively); (b) the beneficial effects of single-session interventions, interventions delivered remotely, and interventions tested in low- and middle-income countries; (c) the association of societal sexism and racism with reduced treatment benefit in majority-girl and majority-Black groups; and, importantly, (d) the finding that average youth treatment benefit has not increased across five decades of research, suggesting that new strategies may be needed. Opportunities for the future include boosting relevance to policy and practice and using meta-analysis to identify mechanisms of change and guide personalizing of treatment.

Shared Decision-Making as a Tool for Navigating Multi-Stakeholder Discrepancies in Youth Psychotherapy.

OBJECTIVE: Discrepancies among the key stakeholders in youth psychotherapy (e.g., caregivers, youths) commonly present an obstacle to treatment planning, forcing clinicians to align with one perspective over another and increasing the likelihood of a treatment plan that is not fully responsive to divergent opinions. At the same time, multi-stakeholder discrepancies can also offer opportunities to build an inclusive, effective treatment plan, guided by the integration of numerous sources of domain-specific knowledge related to the concerns for which families seek clinical care. METHOD: We aim to: 1) investigate the degree to which multi-stakeholder discrepancies are observed when youths and caregivers are invited to report their treatment priorities, rather than the presence and severity of youth symptoms, 2) describe the rationale for, as well as the promise and challenges of, shared decision-making (SDM)-an approach designed to facilitate multi-stakeholder collaboration during treatment planning, 3) provide a case example illustrating how a clinician, youth, and caregiver could use SDM to navigate discrepancies and identify therapy targets, and 4) propose future directions for exploring the potential value of SDM in youth psychotherapy. RESULTS: Different levels of multi-stakeholder agreement were observed when caregivers and youths were asked to identify their treatment priorities, compared to youth symptom presence and severity, revealing nuances in multi-stakeholder agreement in youth psychotherapy. CONCLUSIONS: Multi-stakeholder discrepancies can inform treatment planning processes, and SDM may be an effective approach for navigating them and building a treatment plan that integrates the perspective of all stakeholders in youth psychotherapy.

Relative Effectiveness of CBT-Components and Sequencing in Indicated Depression Prevention for Adolescents: A Cluster-Randomized Microtrial.

OBJECTIVE: Cognitive Behavioral Therapy (CBT) was dismantled into four modules of three sessions each: cognitive restructuring (Think), behavioral activation (Act), problem solving (Solve) and relaxation (Relax). We investigated the modules' relative effectiveness in indicated depression prevention for adolescents and examined variations in sequencing of these modules. METHOD: We performed a pragmatic cluster-randomized microtrial with four parallel conditions: (1) Think-Act-Relax-Solve (n = 14 clusters, n = 81 participants); (2) Act-Think-Relax-Solve (n = 13, n = 69); (3) Solve-Act-Think-Relax (n = 13, n = 77); and (4) Relax-Solve-Act-Think (n = 12, n = 55). The sample consisted of 282 Dutch adolescents with elevated depressive symptoms (Mage = 13.8; 55.7% girls, 92.9% Dutch). In total 52 treatment groups were randomized as a cluster. Assessments were conducted at baseline, after each module and at 6-month follow-up with depressive symptoms as primary outcome. RESULTS: None of the modules (Think, Act, Solve, Relax) was associated with a significant decrease in depressive symptoms after three sessions and no significant differences in effectiveness were found between the modules. All sequences of modules were associated with a significant decrease in depressive symptoms at post-intervention, except the sequence Relax-Solve-Act-Think. At 6-month follow-up, all sequences showed a significant decrease in depressive symptoms. No significant differences in effectiveness were found between the sequences at post-intervention and 6-month follow-up. CONCLUSIONS: Regardless of the CBT technique provided, one module of three sessions may not be sufficient to reduce depressive symptoms. The sequence in which the CBT components cognitive restructuring, behavioral activation, problem solving and relaxation are offered, does not appear to significantly influence outcomes at post- intervention or 6-month follow-up. ABBREVIATIONS: CDI-2:F: Children's Depression Inventory-2 Full-length version; CDI-2:S: Children's Depression Inventory-2 Short version; STARr: Solve, Think, Act, Relax and repeat.

The Operations Triad Model and Youth Mental Health Assessments: Catalyzing a Paradigm Shift in Measurement Validation.

Researchers strategically assess youth mental health by soliciting reports from multiple informants. Typically, these informants (e.g., parents, teachers, youth themselves) vary in the social contexts where they observe youth. Decades of research reveal that the most common data conditions produced with this approach consist of discrepancies across informants' reports (i.e., informant discrepancies). Researchers should arguably treat these informant discrepancies as domain-relevant information: data relevant to understanding youth mental health domains (e.g., anxiety, depression, aggression). Yet, historically, in youth mental health research as in many other research areas, one set of paradigms has guided interpretations of informant discrepancies: Converging Operations and the Multi-Trait Multi-Method Matrix (MTMM). These paradigms (a) emphasize shared or common variance observed in multivariate data, and (b) inspire research practices that treat unique variance (i.e., informant discrepancies) as measurement confounds, namely random error and/or rater biases. Several yearsw ago, the Operations Triad Model emerged to address a conceptual problem that Converging Operations does not address: Some informant discrepancies might reflect measurement confounds, whereas others reflect domain-relevant information. However, addressing this problem requires more than a conceptual paradigm shift beyond Converging Operations. This problem necessitates a paradigm shift in measurement validation. We advance a paradigm (Classifying Observations Necessitates Theory, Epistemology, and Testing [CONTEXT]) that addresses problems with using the MTMM in youth mental health research. CONTEXT optimizes measurement validity by guiding researchers to leverage (a) informants that produce domain-relevant informant discrepancies, (b) analytic procedures that retain domain-relevant informant discrepancies, and (c) study designs that facilitate detecting domain-relevant informant discrepancies.

Costs and cost-effectiveness of Shamiri, a brief, layperson-delivered intervention for Kenyan adolescents: a randomized controlled trial.

BACKGROUND: Low- and middle-income countries (LMICs) have the highest socio-economic burden of mental health disorders, yet the fewest resources for treatment. Recently, many intervention strategies, including the use of brief, scalable interventions, have emerged as ways of reducing the mental health treatment gap in LMICs. But how do decision makers prioritize and optimize the allocation of limited resources? One approach is through the evaluation of delivery costs alongside intervention effectiveness of various types of interventions. Here, we evaluate the cost-effectiveness of Shamiri, a group- and school-based intervention for adolescent depression and anxiety that is delivered by lay providers and that teaches growth mindset, gratitude, and value affirmation. METHODS: We estimated the cost-effectiveness of Shamiri using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) guidelines for economic evaluations. Changes in depression and anxiety were estimated using the Patient Health Questionnaire (PHQ-8) and Generalized Anxiety Disorder questionnaire (GAD-7) at treatment termination and 7-month follow-up using two definitions of treatment benefit. Cost-effectiveness metrics included effectiveness-cost ratios and cost per number needed to treat. RESULTS: Base case cost assumptions estimated that delivering Shamiri cost $15.17 (in 2021 U.S. dollars) per student. A sensitivity analysis, which varied cost and clinical change definitions, estimated it cost between $48.28 and $172.72 to help 1 student in Shamiri, relative to the control, achieve reliable and clinically significant change in depression and anxiety by 7-month follow-up. CONCLUSIONS: Shamiri appears to be a low-cost intervention that can produce clinically meaningful reductions in depression and anxiety. Lay providers can deliver effective treatment for a fraction of the training time that is required to become a licensed mental health provider (10 days vs. multiple years), which is a strength from an economic perspective. Additionally, Shamiri produced reliable and clinically significant reductions in depression and anxiety after only four weekly sessions instead of the traditional 12-16 weekly sessions necessary for gold-standard cognitive behavioral therapy. The school setting, group format, and economic context of a LMIC influenced the cost per student; however, broader conclusions about the cost-effectiveness of Shamiri have yet to be determined due to limited economic evaluations of mental health programs in LMICs. TRIAL REGISTRATION: This study was registered prior to participant enrollment in the Pan-African Clinical Trials Registry (PACTR201906525818462), registered 20 Jun 2019, https://pactr.samrc.ac.za/Search.aspx .

The effects of psychological treatments of depression in children and adolescents on response, reliable change, and deterioration: a systematic review and meta-analysis.

Meta-analyses show that psychotherapies are effective in the treatment of depression in children and adolescents. However, these effects are usually reported in terms of effect sizes. For patients and clinicians, it is important to know whether patients achieve a clinically significant improvement or deterioration. We conducted such a meta-analysis to examine response, clinically significant change, clinically significant deterioration and recovery as outcomes. We searched four bibliographic databases and included 40 randomised trials comparing psychotherapy for youth depression against control conditions. We used a validated method to estimate outcome rates, based on means, standard deviation and N at baseline and post-test. We also calculated numbers-need-to- treat (NNT). The overall response rate in psychotherapies at 2 (±1) months after baseline was 39% (95% CI: 34-45) and 24% (95% CI: 0.19-28) in control conditions (NNT: 6.2). The difference between therapy and control was still significant at 6-12 months after baseline (NNT=7.8). Clinically significant improvement was found in 54% of youth in therapy, compared with 32% in control groups (NNT=5.3); clinically significant deterioration was 6% in therapy, 13% in controls (NNT=5.1); recovery was 58% in therapy, 36% in controls (NNT=3.3). Smaller effects were found in studies with low risk of bias. Psychotherapies for depression in youth are effective compared to control conditions, but more than 60% of youth receiving therapy do not respond. More effective treatments and treatment strategies are clearly needed. Trial registration https://osf.io/84xka.

Family-Based Interventions for Youth Depression: Meta-Analysis of Randomized Clinical Trials.

Youth depression is an impairing pediatric condition for which psychotherapy effects are modest. Can outcomes be improved by treatments that address the family context, as proposed in practice parameters of the American Academy of Child and Adolescent Psychiatry? To find out, we searched five decades of research for randomized controlled trials testing family-based interventions; 11 trials were found for ages 4-18 years. Using robust variance estimation, we obtained estimates of effect size (ES) and tested candidate moderators that might explain variation in ES. Overall pooled ES of the studies was 0.33 at posttreatment, similar to that reported for all youth depression treatments in three prior meta-analyses (i.e., 0.36, 0.30, and 0.29), but higher for adolescents (ages ≥ 13, 0.50) than children (0.04). Taken together, our findings do not show superior outcomes for family-based interventions, and raise questions about how much confidence can be placed in the evidence base to date. The small number of relevant studies in more than five decades, together with the publication bias and risk of bias concerns, highlights the need for more trials testing family-based treatment, and for pre-registered reports, publicly-available preprints, and other mechanisms for improving the dissemination of completed research.

Is Irritability a Top Problem in Youth Mental Health Care? A Multi-informant, Multi-method Investigation.

Irritability is often described as a common problem affecting youth referred for mental health services; however, little is known about the prevalence and nature of irritability as a focus of treatment. We examined assessment data from a diverse sample of youths (N = 206; ages 7-15; 52% male, 48% female; 33% White, 27% Black, 25% Latinx) referred for outpatient treatment of emotional and behavioral concerns. Caregivers and youths completed nomothetic (standardized checklist) and idiographic (free response) measures at intake. Irritability was identified as a top problem (TP) in 58% of cases, commonly reported by caregivers (38%), youths (42%), or both (23%)-rates that were significantly greater than those of other TP domains (depression, anxiety, ADHD, conduct, and defiance). Further analyses identified clinical correlates of irritability TPs, with results supporting the incremental utility of multiple informants and methods. Findings suggest that irritability is among the most common problems for which families seek youth treatment.

Do specific modules of cognitive behavioral therapy for depression have measurable effects on youth internalizing symptoms? An idiographic analysis.

OBJECTIVE: Understanding the efficacy of each module of cognitive behavioral therapy (CBT) may inform efforts to improve outcomes for youth depression, but effects of specific modules have been difficult to examine. Idiographic interrupted time series models offer a robust way to estimate module effects on an individual's symptoms. This study examined the association of specific CBT modules for depression on internalizing symptoms among depressed youths who received modular CBT in a randomized trial. METHODS: Individual models were created for three youths who met study criteria. Youths completed weekly symptom reports, and clinicians completed records of modules delivered. First order auto-regressive models quantified the change in average internalizing symptom severity between pre- and post-module delivery. RESULTS: All youths had 1-3 modules that were significantly associated with symptom reduction and 1-3 modules associated with deterioration. The 5 modules associated with improvement in at least one youth also lacked association (engagement, relaxation, cognitive reframing), or were associated with worsening (activity selection, parent psychoeducation) in others. Seven modules showed no measurable benefit, or detriment to any youth. CONCLUSION: This study demonstrated that specific modules have measurable effects, but more work is needed to build an evidence base of specific module effects to inform treatment personalization for youth depression.

Prevalence and perception of substance abuse and associated economic indicators and mental health disorders in a large cohort of Kenyan students: towards integrated public health approach and clinical management.

BACKGROUND: The earlier younger people begin to use drugs, the more vulnerable they become to both their short term and long-term harmful effects. The overall aim of this study is to determine the prevalence of alcohol and drug abuse, the socio-demographic characteristic, perception of abuse and associated economic indicators and mental disorders and how they inform potential intervention in a cohort of Kenyan students. METHODS: This was a cross-sectional study on a total of 9742 high school, college and university students. We used tools to document socio-demographic characteristics, economic indicators, drug and alcohol use and related perceptions and Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) related psychiatric disorders. Basic descriptive statistics (means and standard deviations for numerical variables and frequencies for nominal and ordinal variables) were done. Logistic regression models were used to assess the association and odds ratios between the use of a given substance and the use of the other substances, as well as associations with the various available socio-demographic factors and economic indicators. Chi-squared tests were used in socio-economic characteristics disaggregated by current alcohol use. RESULTS: The mean age was 21.4 ± 2.4; median = 21.3 (range 15-43) years. We found a wide range of different drugs of abuse. Alcohol abuse was the commonest and inhalants were the least, with different perceptions.Both alcohol and drug abuse were associated with various economic indicators and various mental disorders. CONCLUSION: This study has established for the first time in Kenya the multifaceted associations and predictors of alcohol and drug abuse in a cross-sectional student population ranging from high school to college and university levels. In the process, the study contributes to global data on the subject. These associations call for an integrated and multifaceted approach in addressing alcohol and substance abuse. This approach should take into account various associations and predictors as part of holistic approach in both public awareness and clinical interventions.

Whose Outcomes Come Out? Patterns of Caregiver- and Youth-reported Outcomes Based on Caregiver-youth Baseline Discrepancies.

OBJECTIVE: Discrepancies between caregiver and youth reports of emotional and behavioral symptoms are well-documented, with cross-informant correlations often falling in the low to moderate range. Studies have shown that caregiver-youth (dis)agreement in reporting of youth symptoms is related to treatment outcomes. However, commonly used methods for exploring reporter discrepancies (e.g., difference scores) are limited by their inability to assess discrepancies across multiple symptom domains simultaneously, and thus these previous findings do not explore multiple patterns of (dis)agreement. METHOD: We used latent profile analysis (LPA) to identify subgroups of clinically referred youths based on patterns of caregiver- and youth-reported internalizing and externalizing symptoms for 174 caregiver-youth dyads. Longitudinal multilevel models were used to examine changes in weekly caregiver- and youth-reported internalizing symptoms, externalizing symptoms, and top problems for identified subgroups. RESULTS: The LPA identified four latent subgroups: (a) Caregiver Internalizing (9%), (b) Caregiver Internalizing-Externalizing (45%), (c) Youth Internalizing (7%), and (d) Caregiver-Youth Internalizing-Externalizing (39%). Clinical outcomes varied across informants and subgroups. Significant improvements in caregiver- and youth-reported outcome measures were documented within the Caregiver Internalizing, Caregiver Internalizing-Externalizing, and Caregiver-Youth Internalizing-Externalizing subgroups. However, only youth-reported improvements were detected in the Youth Internalizing subgroup. The results show differences in treatment outcomes across caregiver-youth informant subgroups. CONCLUSIONS: These findings suggest how youth and caregiver baseline data could provide guidance for clinicians in interpreting discrepant reporting and its relevance to change during treatment.

In Their Own Words: Using Open-Ended Assessment to Identify Culturally Relevant Concerns among Kenyan Adolescents.

Standardized assessment tools developed in western contexts may systematically miss certain problems that are considered important in non-western cultures. In this mixed-methods study, we used an open-ended assessment tool (the Top Problem Assessment; TPA) to identify culturally relevant concerns among low-income Kenyan youth. We then (a) applied thematic analysis to identify the most frequently reported problems and (b) examined the extent to which these problems were reflected in standardized mental health measures. Using the TPA, we identified common social, academic, and economic problems facing Kenyan youths. Specifically, 61% of the sample reported a social problem, 38% an academic problem, and 35% an economic problem. By contrast, the standardized assessments revealed that worrying and difficulty concentrating were the most commonly reported symptoms. However, the emotional and behavioral problems assessed via the standardized measures were only reported as top problems by 17% of the sample. Overall, our findings are consistent with the idea that standardized measures can miss certain culturally-salient concerns that can be acquired through open-ended assessments. We discuss how brief open-ended assessment tools could complement standardized measures, inform the development of culturally relevant standardized measures, and offer rich data about the experiences of people in understudied cultural contexts.

Smartphone apps for eating disorders: A systematic review of evidence-based content and application of user-adjusted analyses.

OBJECTIVE: To examine the frequency of evidence-based treatment elements in popular smartphone apps for eating disorders (EDs), and to characterize the extent to which real-world users encounter different elements. METHOD: We searched the Apple App Store and Google Play Store for apps offering treatment or support to individuals with EDs. Then, we created a codebook of 47 elements found in evidence-based treatments for EDs. We examined the presence or absence of each element within each ED app. We also acquired estimates of the monthly active users (MAU) of each app. RESULTS: The ED apps (n = 28) included a median of nine elements of empirically supported treatments (mean = 9.46, SD = 6.28). Four apps accounted for 96% of all MAU. MAU-adjusted analyses revealed that several elements are reaching more users than raw frequency tallies would suggest. For example, assessments were included in 32% of apps, but 84% of users used an app with assessments. Similar trends were found for cognitive restructuring (21% of apps, 56% of MAU), activity scheduling (39%, 57%), and self-monitoring (14%, 46%). Problem solving, exposure, and relapse prevention strategies, elements that are prominent in face-to-face empirically supported treatments, were rarely included in the apps. DISCUSSION: Evidence-based content is commonly included in ED apps, with certain elements reaching more users than others. Additionally, the top four apps are responsible for nearly all active users. We recommend that ED clinicians and researchers familiarize themselves with these apps-those that patients are most likely to encounter.

A Sequential Multiple Assignment Randomized Trial (SMART) study of medication and CBT sequencing in the treatment of pediatric anxiety disorders.

BACKGROUND: Treatment of a child who has an anxiety disorder usually begins with the question of which treatment to start first, medication or psychotherapy. Both have strong empirical support, but few studies have compared their effectiveness head-to-head, and none has investigated what to do if the treatment tried first isn't working well-whether to optimize the treatment already begun or to add the other treatment. METHODS: This is a single-blind Sequential Multiple Assignment Randomized Trial (SMART) of 24 weeks duration with two levels of randomization, one in each of two 12-week stages. In Stage 1, children will be randomized to fluoxetine or Coping Cat Cognitive Behavioral Therapy (CBT). In Stage 2, remitters will continue maintenance-level therapy with the single-modality treatment received in Stage 1. Non-remitters during the first 12 weeks of treatment will be randomized to either [1] optimization of their Stage 1 treatment, or [2] optimization of Stage 1 treatment and addition of the other intervention. After the 24-week trial, we will follow participants during open, naturalistic treatment to assess the durability of study treatment effects. Patients, 8-17 years of age who are diagnosed with an anxiety disorder, will be recruited and treated within 9 large clinical sites throughout greater Los Angeles. They will be predominantly underserved, ethnic minorities. The primary outcome measure will be the self-report score on the 41-item youth SCARED (Screen for Child Anxiety Related Disorders). An intent-to-treat analysis will compare youth randomized to fluoxetine first versus those randomized to CBT first ("Main Effect 1"). Then, among Stage 1 non-remitters, we will compare non-remitters randomized to optimization of their Stage 1 monotherapy versus non-remitters randomized to combination treatment ("Main Effect 2"). The interaction of these main effects will assess whether one of the 4 treatment sequences (CBT➔CBT; CBT➔med; med➔med; med➔CBT) in non-remitters is significantly better or worse than predicted from main effects alone. DISCUSSION: Findings from this SMART study will identify treatment sequences that optimize outcomes in ethnically diverse pediatric patients from underserved low- and middle-income households who have anxiety disorders. TRIAL REGISTRATION: This protocol, version 1.0, was registered in ClinicalTrials.gov on February 17, 2021 with Identifier: NCT04760275 .

Leveraging the developmental science of psychosocial risk to strengthen youth psychotherapy.

More than 50 years of randomized clinical trials for youth psychotherapies have resulted in moderate effect sizes for treatments targeting the most common mental health problems in children and adolescents (i.e., anxiety, depression, conduct problems, and attention disorders). Despite having psychotherapies that are effective for many children, there has been a dearth of progress in identifying the contextual factors that likely influence who will respond to a given psychotherapy, and under what conditions. The developmental psychopathology evidence base consistently demonstrates that psychosocial risk exposures (e.g., childhood adversities, interpersonal stressors, family dysfunction) significantly influence the onset and course of youth psychopathology. However, the developmental psychopathology framework remains to be well integrated into treatment development and psychotherapy research. We argue that advances in basic developmental psychopathology research carry promising implications for the design and content of youth psychotherapies. Research probing the effects of psychosocial risks on youth development can enrich efforts to identify contextual factors in psychotherapy effectiveness and to personalize treatment. In this article we review empirically supported and hypothesized influences of individual- and family-level risk factors on youth psychotherapy outcomes, and we propose a framework for leveraging developmental psychopathology to strengthen psychotherapies.