Annual Research Review: Building a science of personalized intervention for youth mental health

Heterogeneity in social participation among young people with vision impairment

Young people may adapt to vision impairment (VI) in a variety of ways. To explore heterogeneity in social participation, data were mined for distinct patterns. Existing data from 258 young people with VI, aged between 26 and 44 years ( M = 35.3 years; SD = 5.07), were clustered. Social participation was measured by four closed-ended questions and the Social Network Map. Loneliness was measured by the De Jong Gierveld Loneliness scale. K-medoids clustering with the Partitioning Around Medoids (PAM) algorithm was used to cluster social participation variables and age.Eight clusters were identified, with participants in the two largest clusters, clusters 1 ( n = 84) and 2 ( n = 50), scoring high on almost all social participation outcomes. Participants in cluster 8 ( n = 14) had the lowest social participation scores. However, also over half of the participants in clusters 4, 5, 6, and 7 experienced feelings of loneliness. Findings demonstrate considerable heterogeneity in social participation among young people with VI, which however does not link to loneliness. These variations in social participation underline the need for a differentiated approach to address needs of young people with VI.

Editorial: Therapies for mental health difficulties: finding the sweet spot between standardization and personalization

There are strong arguments for standardizing therapies for mental health difficulties in young people and for the development of digital therapies. At the same time, the importance of personalized treatments is also increasingly apparent. In this editorial, we discuss challenges and the continued need to find the sweet spot between standardization and personalization when it comes to therapies for mental health difficulties. We illustrate our discussion with reference to insomnia in adolescents/young adults as well as the chronic health condition type 1 diabetes.

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.

Brief Interventions for Cannabis Using Adolescents

This article discusses the application of brief interventions to address adolescents with a cannabis use problem. Topics include a general model of brief interventions, the outcome literature, existing brief interventions that focus on youth cannabis use, adjustments to a brief intervention when addressing cannabis, referral to treatment issues, personalizing a brief intervention, the need to address coexisting problems, and future directions.

Adaptation, personalization and capacity in mental health treatments: a balancing act?

PURPOSE OF REVIEW

There are increasing calls for mental health treatments to be adapted for different groups to maximize their acceptability and benefit to patients. However, adaptations can be costly to develop and evaluate, difficult to implement in routine clinical practice and may reduce service capacity at a time when there is unprecedented unmet need. An alternative method is personalization on an individual level. This review provides an overview of the issues related to personalization and adaptation of mental health interventions.

RECENT FINDINGS

Several terms have been used to describe changes to existing therapies, these reflect different extents to which existing treatments have been changed. Evidence-based practice and modular therapies allow a level of flexibility within intervention delivery without formal changes and not all changes to therapy should be considered as a new/adapted treatment but instead regarded as 'metacompetence'. Implementing existing interventions in new contexts is preferable to developing new interventions in many instances. New guidance outlines how researchers can adapt and transfer interventions to varied contexts.

SUMMARY

The review provides proposed definitions of different changes to therapy. Modified and personalized treatments may improve acceptability to patients whilst maximizing implementation of evidence-based practice within clinical services.

Personalizing Child Protection: The Clinical Value and Usability of a Needs Assessment Instrument in The Netherlands

Studies on child maltreatment prevention programs show that the effects of these programs are rather small. Drawing on the need principle of the Risk–Need–Responsivity model, program effects may be enhanced by properly assessing all the needs of individual families involved in child protection so that programs can be adapted to those needs. Recently, a needs assessment tool (ARIJ-Needs) has been developed in the Netherlands to support child protection practitioners in not only the assessment of treatment needs in individual families, but also in selecting the program(s) and/or intervention(s) that best target those needs. This study assessed the clinical value and usability of ARIJ-Needs by interviewing Dutch child protection practitioners (N = 15). A vignette describing a child protection case was used to examine differences between needs assessments based on unstructured clinical judgment (i.e., without using the assessment tool), and structured clinical judgment in which the assessment tool was used. The results showed that significantly more treatment needs were identified when ARIJ-Needs was used relative to clinical judgment in which ARIJ-Needs was not used. Specifically, needs related to parenting, the parent(s), and the family were identified more often when the assessment tool was used. This is an important finding, as these needs comprise the (changeable) risk factors that are most predictive of child maltreatment and should be addressed with priority to prevent child maltreatment. This study shows that ARIJ-Needs supports practitioners in assessing relevant needs in families at risk for child maltreatment. Study implications and recommendations for improvement of the ARIJ-Needs are discussed.

Examining an individualized, group-based social skills training using a mixed-methods design: A feasibility study

Tailoring treatments to individual needs may be beneficial for treatment adherence and treatment effects. However, individualizing a group-based Social Skills Training (SST) may be complicated. Therefore, in this feasibility study, we examined outcomes after engagement in an individualized SST provided to 33 children aged 7-11 years (M = 9.39, SD = 1.09; 13 girls), who were referred to a mental health care center for various psychosocial problems. To analyze outcomes, we combined a top-down (including researcher-chosen measures: Questionnaires on pro-social, socially inadequate, and problem behavior) and a bottom-up (including participant-driven measures: Ratings of personal goals and evaluation reports) approach and used a mixed-methods design. After the SST, personal goals and pro-social behavior increased (large and small effects respectively). Also, socially inadequate behavior and problem behavior decreased (both small effects). Evaluation reports mainly showed improvements in social responsiveness, emotion regulation, and internalizing problems. At the same time, however, most parents also reported limitations (e.g., a lack of generalization). Altogether, we can conclude that (1) tailoring a group-based SST to the individual needs of children, as well as measuring progress on personal goals, is feasible and (2) mixed-method designs to study intervention effectiveness should be encouraged.

Comparing individually based and family-based treatments for internalizing, externalizing, and family symptoms in Latino youth

Rigorous randomized trials that test promising culturally centered treatments for Latino youth and families are needed. This study adds to the knowledge base by comparing the efficacy of Culturally Informed and Flexible Family Treatment for Adolescents (CIFFTA) to an Individually Oriented Treatment-As-Usual (ITAU) in its ability to retain Latino youth and families in treatment, reduce internalizing and externalizing child symptoms, and improve family functioning. CIFFTA uses an adaptive/flexible approach to deliver individual therapy, family therapy, and psycho-educational modules tailored to each family's unique clinical and cultural characteristics. Two hundred Latino adolescents 11-14 years of age completed a baseline assessment, were randomly assigned to CIFFTA or ITAU, then were assessed again after 16 weeks of intervention. Results show that CIFFTA had significantly higher retention (83%) than ITAU (71%), OR = 2.05, p = .036. Youth in both conditions showed significant reductions in youth and parent reported externalizing and internalizing behaviors, and there were no differences in change between conditions. Parents in CIFFTA reported significantly greater reductions in family conflict, d = 0.38, p = .025 than in ITAU. In CIFFTA, children of less acculturated Latino parents showed more improvement than the children of more acculturated parents. In ITAU, the reverse was true, children of more acculturated parents reported more improvement. This evidence of CIFFTA's impact on retention, family conflict, and differential effect depending on cultural values and behaviors, has important implications for the field of Latino psychology and family treatment.

Patient and provider perceptions of a peer-delivered intervention ('Khanya') to improve anti-retroviral adherence and substance use in South Africa: a mixed methods analysis

Background

Despite a high prevalence of problematic substance use among people living with HIV in South Africa, there remains limited access to substance use services within the HIV care system. To address this gap, our team previously developed and adapted a six-session, peer-delivered problem-solving and behavioral activation-based intervention (Khanya) to improve HIV medication adherence and reduce substance use in Cape Town. This study evaluated patient and provider perspectives on the intervention to inform implementation and future adaptation.

Methods

Following intervention completion, we conducted semi-structured individual interviews with patients (n = 23) and providers (n = 9) to understand perspectives on the feasibility, acceptability, and appropriateness of Khanya and its implementation by a peer. Patients also quantitatively ranked the usefulness of individual intervention components (problem solving for medication adherence 'Life-Steps', behavioral activation, mindfulness training, and relapse prevention) at post-treatment and six months follow-up, which we triangulated with qualitative feedback to examine convergence and divergence across methods.

Results

Patients and providers reported high overall acceptability, feasibility, and appropriateness of Khanya, although there were several feasibility challenges. Mindfulness and Life-Steps were identified as particularly acceptable, feasible, and appropriate components by patients across methods, whereas relapse prevention strategies were less salient. Behavioral activation results were less consistent across methods.

Conclusions

Findings underscore the importance of examining patients' perspectives on specific intervention components within intervention packages. While mindfulness training and peer delivery models were positively perceived by consumers, they are rarely used within task-shared behavioral interventions in low- and middle-income countries.

Family Factors Related to Suicidal Behavior in Adolescents

Objective: This research aims to investigate what type of family patterns (specifically attachment, bonding and family functioning) and stressful life events can trigger or protect adolescents from developing suicidal behavior. Methods: For these purposes, a case-control study (adolescents with suicidal behavior vs. paired adolescents with no suicidal behavior) was conducted with one hundred 12 to 17-year-old adolescents (50 controls, 50 cases, 74% females), assessed between 2018 and 2020. Results: Negligent (p < 0.001) or affection-less control bonding (p < 0.001), insecure attachment (p = 0.001) and stressful life events (p < 0.001) revealed to be significant risk factors for suicidal behavior. On the contrary, parents’ care (p < 0.001) and security (p < 0.001) were revealed as protective factors for suicidal behavior. Conclusions: Considering these results, family interventions and improving coping skills seem to be two essential targets for any suicide prevention intervention in adolescents.

Modular-based psychotherapy (MoBa) versus cognitive-behavioural therapy (CBT) for patients with depression, comorbidities and a history of childhood maltreatment: study protocol for a randomised controlled feasibility trial

INTRODUCTION

In depression treatment, most patients do not reach response or remission with current psychotherapeutic approaches. Major reasons for individual non-response are interindividual heterogeneity of etiological mechanisms and pathological forms, and a high rate of comorbid disorders. Personalised treatments targeting comorbidities as well as underlying transdiagnostic mechanisms and factors like early childhood maltreatment may lead to better outcomes. A modular-based psychotherapy (MoBa) approach provides a treatment model of independent and flexible therapy elements within a systematic treatment algorithm to combine and integrate existing evidence-based approaches. By optimally tailoring module selection and application to the specific needs of each patient, MoBa has great potential to improve the currently unsatisfying results of psychotherapy as a bridge between disorder-specific and personalised approaches.

METHODS AND ANALYSIS

In a randomised controlled feasibility trial, N=70 outpatients with episodic or persistent major depression, comorbidity and childhood maltreatment are treated in 20 individual sessions with MoBa or standard cognitive-behavioural therapy for depression. The three modules of MoBa focus on deficits associated with early childhood maltreatment: the systems of negative valence, social processes and arousal. According to a specific questionnaire-based treatment algorithm, elements from cognitive behavioural analysis system of psychotherapy, mentalisation-based psychotherapy and/or mindfulness-based cognitive therapy are integrated for a personalised modular procedure.As a proof of concept, this trial will provide evidence for the feasibility and efficacy (post-treatment and 6-month follow-up) of a modular add-on approach for patients with depression, comorbidities and a history of childhood maltreatment. Crucial feasibility aspects include targeted psychopathological mechanisms, selection (treatment algorithm), sequence and application of modules, as well as training and supervision of the study therapists.

ETHICS AND DISSEMINATION

This study obtained approval from the independent Ethics Committees of the University of Freiburg and the University of Heidelberg. All findings will be disseminated broadly via peer-reviewed articles in scientific journals and contributions to national and international conferences.

TRIAL REGISTRATION NUMBER

DRKS00022093.

Development of a personalised substance use disorder treatment for people with mild intellectual disabilities or borderline intellectual functioning: An intervention mapping approach

BACKGROUND

The prevalence of Substance Use Disorder (SUD) in people with Mild Intellectual Disability and Borderline Intellectual Functioning (MID-BIF) is high and evidence-based treatment programs are scarce. The present study describes the development of a personalised SUD treatment for people with MID-BIF.

METHOD

The personalised SUD treatment is developed according to the steps of the Intervention Mapping approach, based on literature review, theoretical intervention methods, clinical experience and consultation with experts in the field of addiction and intellectual disability care.

RESULTS

We developed a treatment manual called Take it Personal!+. Take it Personal!+ aims to reduce substance use, is based on motivational interviewing and cognitive behavior therapy and personalised based on the client's personality profile. Furthermore, an mHealth application supports the treatment sessions.

CONCLUSION

Take it Personal!+ is the first personalised SUD treatment for individuals with MID-BIF. Future research should test the effectiveness of Take it Personal!+ in reducing SU.

Youth Top Problems and Early Treatment Response to the Unified Protocols for Transdiagnostic Treatment of Emotional Disorders in Children and Adolescents

The Top Problems assessment is an idiographic measure of client concerns that may allow clinicians to identify early treatment response. Few studies have examined early response to evidence-based therapies using Top Problems. We collected weekly Top Problems ratings from 95 youth with emotional disorders who received treatment using the Unified Protocols for Transdiagnostic Treatment of Emotional Disorders in Children and Adolescents (UP-C/UP-A). We assessed Top Problems rating change from session 1 to session 4, the role of pre-treatment variables in early Top Problems rating change, and the role of early Top Problems rating change in post-treatment symptom outcomes. Top Problems ratings decreased significantly from session 1 to session 4. Younger child age and higher parent cognitive flexibility were associated with early Top Problems improvement. Controlling for pre-treatment, early Top Problems rating change did not explain the variance in post-treatment outcomes. Future research should examine Top Problems trajectories over treatment course.

The Attachment Strengths and Needs Interview for parents of children with severe or profound intellectual disabilities: An acceptability and feasibility study

BACKGROUND

The feasibility and acceptability was explored of the newly-constructed Attachment Strengths and Needs Interview for parents of children with severe or profound intellectual disabilities.

METHOD

A partially mixed methods approach (with focus on the quantitative data) was used to clarify parents' and professionals' viewpoints regarding the acceptability of the interview through websurvey-ratings.

RESULTS

Parents generally felt appreciated during or after the interview, were motivated to work on the proposed goals and felt the interview covered their actual needs, but were, however, more neutral on the aspects of reflection and learning. Professionals indicated that the interview gathered sufficient information on most elements of interest at the start of an intervention trajectory, but generally missed information on the origins of parents' questions and the families' expectations towards taking part in an intervention.

CONCLUSIONS

The current study showed preliminary support for the feasibility and acceptability of the Attachment Strengths and Needs Interview, as part of a broader intake procedure, to inform attachment-focused interventions for parents of children with disabilities by identifying their strengths and needs.

Feasibility and Acceptability of an Internet-Based Intervention for Young Adults with ADHD

Internet-based interventions (IBIs) to treat psychological disorders are available, but accessibility to these to treat attention-deficit/hyperactivity disorder (ADHD) in young adult populations is quite limited. The current study examined the feasibility of a proposed IBI for ADHD and participant perceptions regarding treatment acceptability and credibility, and outcome expectancy. Participants (N = 235; aged 18-35) with a prior ADHD diagnosis were recruited through Amazon's Mechanical Turk (MTurk) and were provided with a proposed IBI and explanatory outlines of treatment module content. Participants in the cross-sectional study were randomly assigned to either a tailored (i.e., targeted content modules), minimal (i.e., presented overall fewer and non-targeted modules), or full (i.e., all possible modules) condition. Results demonstrated moderate IBI acceptability among participants in the tailored and full conditions. The majority of participants preferred IBI over face-to-face (F2F) treatment, and most individuals who preferred F2F treatment also considered an IBI to be an acceptable treatment modality. Lack of significant mean differences between the tailored and full conditions on several of the main outcomes of interest (e.g., perceptions of acceptability) suggests that implementation of either method of treatment could prove effective. Differences based on treatment length and relevance, and biological sex were also explored. Implications, limitations, and future directions are discussed.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s41347-022-00256-4.

Attachment Representation Moderates the Effectiveness of Behavioral Parent Training Techniques for Children with ADHD: Evidence from a Randomized Controlled Microtrial

Behavioral parent training is an evidence-based intervention for children with attention-deficit/hyperactivity disorder (ADHD), but knowledge on the differential effects of behavioral techniques for specific subgroups of children is very limited. Attachment representations of children with ADHD may affect how receptive children are to changes in parenting. In this study, we investigated whether specific behavioral techniques were more or less effective for children with ADHD in relation to their attachment representations. We included parents of 74 children with ADHD (4-11 years, M = 8.15) who took part in a larger randomized controlled microtrial in which they were randomized to a two session training in antecedent-based techniques (i.e., stimulus control techniques: rules, instructions; n = 26), a two session training in consequent-based techniques (i.e., contingency management techniques: praise, rewards, ignoring; n = 25) or a waitlist control condition (n = 23). We examined whether attachment representation moderated the effectiveness of a) training versus waitlist, and b) antecedent- versus consequent-based techniques. Attachment representations were measured with a story stem task, the intervention outcome was daily parent-rated problem behaviors of the children. Attachment representation did not moderate the effects of the training compared to the waitlist. However, compared to antecedent-based techniques, consequent-based techniques were less effective for more securely and less disorganized attached children, and particularly effective for more disorganized attached children. This was the first study examining attachment as a moderator of behavioral techniques for ADHD. If replicated, the findings of this study can be used for treatment development and tailoring.

Psychological Interventions for Individuals With Acquired Brain Injury, Cerebral Palsy, and Spina Bifida: A Scoping Review

Background

With current medical advancements, more adolescents with neurodevelopmental disorders are transitioning from child- to adult-centred health care services. Therefore, there is an increasing demand for transitional services to help navigate this transition. Health care transitions can be further complicated by mental health challenges prevalent among individuals with cerebral palsy (CP), spina bifida (SB), and childhood onset acquired brain injury (ABI). Offering evidence-based psychological interventions for these populations may improve overall outcomes during transition period(s) and beyond. The objective of this scoping review is to identify key characteristics of psychological interventions being used to treat the mental health challenges of adolescents and adults with CP, SB, and childhood onset ABI.

Methods

Methodological frameworks by Arksey and O'Malley, and Levac and colleagues were used to explore studies published between 2009 and 2019. Included studies were required to be written in English and report on a psychological intervention(s) administered to individuals at least 12 years of age with a diagnosis of CP, SB, or childhood onset ABI. All study designs were included.

Results

A total of 11 studies were identified. Of these, eight reported psychological interventions for childhood onset ABI, while three reported on CP. No studies reporting on SB were identified. Commonly used interventions included acceptance and commitment therapy (ACT), psychotherapy, and cognitive behavioral therapy (CBT).

Conclusions

There are a limited number of studies investigating psychological interventions for individuals with childhood onset ABI and CP, and none for individuals with SB. Further research into effective psychological interventions for these populations will improve mental health outcomes and transitional services.

Ten ignored questions for stress psychology research

Stress psychology is an interesting and important interdisciplinary research field. In this perspective article, we briefly discuss 10 challenges related to the conceptual definition, research methodology, and translation in the field of stress that do not receive sufficient attention or are ignored entirely. Future research should attempt to integrate a comprehensive stress conceptual framework into a multidimensional comprehensive stress model, incorporating subjective and objective indicators as comprehensive measures. The popularity of machine learning, cognitive neuroscience, and gene epigenetics is a promising approach that brings innovation to the field of stress psychology. The development of wearable devices that precisely record physiological signals to assess stress responses in naturalistic situations, standardize real-life stressors, and measure baselines presents challenges to address in the future. Conducting large individualized and digital intervention studies could be crucial steps in enhancing the translation of research.

Predictors, Moderators, and Mediators Associated With Treatment Outcome in Randomized Clinical Trials Among Adolescents With Depression: A Scoping Review

Importance

The application of precision medicine principles for the treatment of depressive disorders in adolescents requires an examination of the variables associated with depression outcomes in randomized clinical trials (RCTs).

Objective

To describe predictors, moderators, and mediators associated with outcomes in RCTs for the treatment of depressive disorders in adolescents.

Evidence Review

A scoping review of RCTs for the treatment of depression in adolescents was conducted. Databases searched included MEDLINE, Embase, APA PsycInfo, and CINAHL. Included publications tested predictors, moderators, and/or mediators associated with depression symptom outcomes (eg, symptom reduction, response, remission) in RCTs pertaining to the treatment of adolescents, ages 13 to 17 years. Predictors were defined as variables that were associated with depression outcomes, independent of treatment group. Moderators were defined as baseline variables that were associated with differential outcomes between treatment groups. Mediators were defined by a formal mediation analysis. In duplicate, variables were extracted and coded with respect to analysis type (univariable or multivariable), statistical significance, direction of effect size, reporting of a priori hypotheses, and adjustment for multiple comparisons. Aggregated results were summarized by variable domain and RCT sample.

Findings

Eighty-one articles reporting on variables associated with outcomes across 33 RCTs were identified, including studies of biological (10 RCTs), psychosocial (18 RCTs), and combined (4 RCTs) treatments as well as a service delivery model (1 RCT). Fifty-three variable domains were tested as baseline predictors of depression outcome, 41 as moderators, 19 as postbaseline predictors, and 5 as mediators. Variable domains that were reported as significant in at least 3 RCTs included age, sex/gender, baseline depression severity, early response to treatment, sleep changes, parent-child conflict, overall psychopathology, suicidal ideation, hopelessness, functional impairment, attendance at therapy sessions, and history of trauma. Two publications reported a priori hypotheses and adjustment for multiple comparisons, both finding that baseline depression severity and family conflict were associated with poorer outcomes.

Conclusions and Relevance

This review identified commonly researched variables requiring more scrutiny as well as underresearched variables to inform future study designs. Further efforts to discover predictors, moderators, and mediators associated with treatment response have great potential to optimize care for adolescents with depression.

An Integrated Conceptual Framework of Behavioral Intervention Technologies to Promote Healthcare Utilization Among Socially-Marginalized Populations in the United States

In the U.S., socially marginalized groups disproportionately shoulder the burden of health outcomes. The evolving development of behavioral intervention technologies provides opportunities to support users in changing behaviors and improving health. No conceptual model is available to guide technology-based behavioral interventions among vulnerable groups in the new era of digitalization. Our conceptual framework combines the Behavioral Model of Healthcare Utilization (HCU) for Vulnerable Populations and the Integrated Model of Behavioral Prediction (IMBP). With the Socioecological Model leading the vertical direction, the overarching HCU-IBMP model is incorporated by the Behavioral Intervention Technology-Technological Instantiation Framework (BIT-Tech). The HCU model explains how vulnerable populations influence healthcare access and utilization behaviors by personal and contextual factors. Through the lens of the IMBP, healthcare utilization intention is highly predictable and maybe even causally correlated with the corresponding behavior. To assist the healthcare utilization intention translates into the corresponding behaviors, we employ a medium using the technological implementation in a system that can assist the end-users in adopting the desired behavior. With the integrated model that combines a technological framework with the behavioral components, the BIT-Tech guides the procedure intervention development. Our integrated conceptual framework indicated that theoretical and technical components should be considered during a technological tool development to support the research community. A real-world intervention design has been demonstrated using the framework to guide behavioral intervention technologies to promote PrEP care and utilization among racial/ethnic minority women in the U.S.

Using temporal network methods to reveal the idiographic nature of development

Averages dominate developmental science: There are representative groups, mean trajectories, and generalizations to typical children. Nearly all parents and teachers, however, eagerly proclaim that few youth are average; each child, adolescent, and young adult is unique. Indeed, individual youth are the focus of many eminent developmental theories, yet there is a shocking paucity of developmental methods-including study designs and analysis techniques-that truly afford individual-level inferences. Thus, the goal of this chapter is to explicate the advantages of an idiographic approach to developmental science, that is, an approach that provides insight into individual youth, often by studying within-person variation in intensive longitudinal data, such as densely coded observations, repeated daily or momentary assessments, and functional neuroimages. In three domains across development, the chapter illustrates the benefits of an idiographic approach by comparing empirical conclusions offered by traditional mean-based analysis techniques versus techniques that leverage the temporal and individualized nature of intensive longitudinal data. The chapter then concentrates on group iterative multiple model estimation (GIMME), which is an analysis technique that uses intensive longitudinal data to create youth-specific temporal networks, detailing how brain regions or behaviors are directionally related across time. The promise of GIMME is exemplified by applications to three different domains across development. The chapter closes by encouraging future idiographic developmental science to consider how research questions, study designs, and data analyses can be formed, implemented, and conducted in ways that optimize inferences about individual-not average-youth.

Cardiac autonomic functioning and clinical outcome in adolescent borderline personality disorder over two years

The present study aimed to expand on previous findings that pre-treatment autonomic nervous system (ANS) functioning serves as a predictor of clinical outcome in adolescent borderline personality disorder (BPD), while examining whether the relationship between ANS functioning and treatment outcome may vary as a function of early life maltreatment (ELM). ANS stress response was examined considering changes in heart rate (HR) and vagally-mediated heart rate variability (vmHRV) over different conditions of the Montreal Imaging Stress Task (MIST) in a clinical sample of N = 27 adolescents across the spectrum of BPD severity. Participants received in- and/or outpatient treatment, while clinical data was assessed at routine follow-ups. Clinical outcome was defined by change in the number of fulfilled BPD criteria (as measured using the SCID-II), severity of psychopathology (CGI-S), and global level of functioning (GAF), measured 12 and 24 months after baseline assessments. Mixed-effects (random-intercept/random slope) linear regression models were calculated to examine markers of ANS function as potential predictors of clinical outcome. Irrespective of the presence of ELM exposure, both vmHRV resting-state and stress recovery measures were identified as significant predictors of clinical outcome over time. This study adds to the existing literature by replicating and expanding on preliminary findings, considering also physiological reactivity and recovery in addition to resting-state measures of ANS functioning. The present results further highlight the potential of markers of ANS functioning to serve as objective measures in the process of monitoring patient progress and to make predictions regarding treatment outcome in psychiatry research.

The implementation potential of a method to monitor empirically-supported children's mental health treatment through claims data

Background

The delivery of evidence-supported treatments (EST) in children’s mental health could be a valuable measure for monitoring mental healthcare quality; however, efforts to monitor the use of EST in real world systems are hindered by the lack of pragmatic methods. This mixed methods study examined the implementation and agency response rate of a pragmatic, claims-based measure of EST designed to be applied as a universal quality measure for child psychotherapy encounters in a state Medicaid system.

Methods

Implementation potential of the EST measure was assessed with healthcare leader rankings of the reporting method’s acceptability, appropriateness and feasibility (n = 53), and post-implementation ratings of EST rate accuracy. Ability of the healthcare system to monitor EST through claims was measured by examining the agency responsivity in using the claims-based measure across 98 Medicaid-contracted community mental health (CMH) agencies in Washington State.

Results

The analysis found the reporting method had high implementation potential. The method was able to measure the use of an EST for 83% of children covered by Medicaid with 58% CMH agencies reporting > 0 ESTs in one quarter. Qualitative analyses revealed that the most significant barrier to reporting ESTs was the operability of electronic health record systems and agencies’ mixed views regarding the accuracy and benefits of reporting.

Conclusions

Measurement of child mental health ESTs through Medicaid claims reporting has acceptable implementation potential and promising real world responsiveness from CMH agencies in one state. Variation in reporting by agency site and low to moderate perceived value by agency leaders suggests the need for additional implementation supports for wider uptake.

CBT for Childhood Anxiety: Reviewing the State of Personalised Intervention Research

This article presents a mini-review of the state of personalised intervention research in the field of child and adolescent anxiety. We evaluated narrative, systematic and meta-analytic reviews of key research methodologies and how they relate to current approaches for personalising CBT, specifically. Preliminary evidence of predictors (severity of primary disorder, social anxiety disorder (SoAD), comorbid depression, parental psychopathology, parental involvement and duration of treatment), moderators (type of primary disorder) and mediators (self-talk, coping, problem-solving and comorbid symptoms) of CBT outcomes provides content for several personalised approaches to treatment. Finally, we present a novel conceptual model depicting the state of personalised intervention research in childhood anxiety and propose a research agenda for continued progress.

Internet-delivered cognitive behavioral therapy for youth with functional abdominal pain: a randomized clinical trial testing differential efficacy by patient subgroup

ABSTRACT

Inconsistent results of psychological treatments for pediatric functional abdominal pain (FAP) may be due to heterogeneity of patients' pain-related psychological characteristics. This randomized controlled trial tested whether statistically derived patient subgroups (high pain dysfunctional [HPD], high pain adaptive [HPA], and low pain adaptive [LPA]) moderated response to cognitive behavior therapy (CBT) for adolescents with FAP and their parents (n = 278 dyads; patients were 66% female, mean [SD] age was 14.62 [1.88] years, and parents were 95% female). Randomization to Internet-delivered CBT vs Internet-delivered pain education (EDU) was stratified by patient subgroup. Follow-up assessments of gastrointestinal (GI) symptoms (primary outcome), abdominal pain, and pain interference were at midtreatment, posttreatment, 6 months, and 12 months. Data were analysed using linear mixed effects models. Significant treatment × subgroup × time interaction effects showed that patient subgroup significantly moderated the effect of treatment on GI symptoms (t[853 = -2.93, P = 0.003) and abdominal pain (t(844) = -2.14, P = 0.03) across the treatment period. Among HPD youth, those in CBT had significantly greater GI symptom reduction than those in EDU through posttreatment. By contrast, among HPA and LPA youth, symptom improvement did not differ by treatment condition. Furthermore, among all patients assigned to CBT, HPD youth demonstrated significantly greater reductions in GI symptoms compared with HPA and LPA youth and greater reductions in abdominal pain compared with LPA youth. All subgroups maintained symptom reductions throughout the follow-up period. Results suggest that subgrouping FAP patients may inform treatment allocation and optimize treatment response.

A Second and Third Look at FIRST: Testing Adaptations of A Principle-Guided Youth Psychotherapy

Objective: We examined the acceptability, integrity, and symptom trajectories associated with FIRST, a principle-guided treatment for youth internalizing and externalizing problems designed to support efficient uptake and implementation.Method: We conducted two open trials of an adapted FIRST, focusing on uptake and implementation by novice trainees in a university-affiliated clinic, limiting treatment duration to six sessions, and benchmarking findings against a 2017 FIRST trial with community therapists. In Study 1, trainees received a two-day training and weekly two-hour supervision (N = 22 youths, ages 7-17, 50% female, 54.54% Caucasian, 4.55% Latinx). In Study 2, trainees received a one-day training and weekly one-hour supervision, delivering the six-session FIRST in a predetermined sequence (N = 26 youths, ages 11-17, 42.31% female, 65.38% Caucasian, 7.69% Latinx). In Study 3, the original study therapists - now practitioners - evaluated FIRST's effectiveness and implementation difficulty, and reported their own post-study FIRST use.Results: Acceptability (treatment completion, session attendance, caregiver participation) and integrity (adherence, competence) were comparable across Study 1, Study 2 and the 2017 trial. Improvement effect sizes across ten outcome measures were in the large range in all three trials: M ES = 1.10 in the 2017 trial, 0.83 in Study 1, and 0.81 in Study 2. Study 3 showed high effectiveness ratings, low difficulty ratings, and continued use of FIRST by a majority of clinicians.Conclusions: Across two open trials and a follow-up survey, FIRST showed evidence of acceptability and integrity, with youth symptom reduction comparable to that in prior research.

Personalized versus standard cognitive behavioral therapy for fear of cancer recurrence, depressive symptoms or cancer-related fatigue in cancer survivors: study protocol of a randomized controlled trial (MATCH-study)

Background

Fear of cancer recurrence, depressive symptoms, and cancer-related fatigue are prevalent symptoms among cancer survivors, adversely affecting patients’ quality of life and daily functioning. Effect sizes of interventions targeting these symptoms are mostly small to medium. Personalizing treatment is assumed to improve efficacy. However, thus far the empirical support for this approach is lacking. The aim of this study is to investigate if systematically personalized cognitive behavioral therapy is more efficacious than standard cognitive behavioral therapy in cancer survivors with moderate to severe fear of cancer recurrence, depressive symptoms, and/or cancer-related fatigue.

Methods

The study is designed as a non-blinded, multicenter randomized controlled trial with two treatment arms (ratio 1:1): (a) systematically personalized cognitive behavioral therapy and (b) standard cognitive behavioral therapy. In the standard treatment arm, patients receive an evidence-based diagnosis-specific treatment protocol for fear of cancer recurrence, depressive symptoms, or cancer-related fatigue. In the second arm, treatment is personalized on four dimensions: (a) the allocation of treatment modules based on ecological momentary assessments, (b) treatment delivery, (c) patients’ needs regarding the symptom for which they want to receive treatment, and (d) treatment duration. In total, 190 cancer survivors who experience one or more of the targeted symptoms and ended their medical treatment with curative intent at least 6 months to a maximum of 5 years ago will be included. Primary outcome is limitations in daily functioning. Secondary outcomes are level of fear of cancer recurrence, depressive symptoms, fatigue severity, quality of life, goal attainment, therapist time, and drop-out rates. Participants are assessed at baseline (T0), and after 6 months (T1) and 12 months (T2).

Discussion

To our knowledge, this is the first randomized controlled trial comparing the efficacy of personalized cognitive behavioral therapy to standard cognitive behavioral therapy in cancer survivors. The study has several innovative characteristics, among which is the personalization of interventions on several dimensions. If proven effective, the results of this study provide a first step in developing an evidence-based framework for personalizing therapies in a systematic and replicable way.

Trial registration

The Dutch Trial Register (NTR) NL7481 (NTR7723). Registered on 24 January 2019.

Mental Health Information Seeking Online: A Google Trends Analysis of ADHD

Health information influences consumer decision making to seek, select, and utilize services. Online searching for mental health information is increasingly common, especially by adolescents and parents. We examined historical trends and factors that may influence population-level patterns in information seeking for attention-deficit/hyperactivity disorder (ADHD). We extracted Google Trends data from January 2004 to February 2020. Keywords included "ADHD," "ADHD treatment," "ADHD medication," and "ADHD therapy." We examined trends (systematic change over time) and seasonality (repeating pattern of change) via time-series analyses and graphics. We also used interrupted time-series analyses to examine the impact of celebrity and pharmaceutical events. Queries of "ADHD medication" increase, while queries for "ADHD therapy" remain relatively low despite a positive linear trend. Searches for "ADHD treatment" displayed a downward trend in more recent years. Analyses on seasonality revealed that holiday breaks coincided with a decrease in search interest, while post-break periods illustrated a rise, and the ADHD Awareness Month (October) coincided with a rise of public interest in all four search terms. Celebrity effects were more prominent in earlier years; the "Own It" pharmaceutical campaign may have increased ADHD awareness and the specificity of searches for "ADHD medication." The anonymous, accessible, and low-cost nature of seeking information online makes search engines like Google important sources of mental health information. Changing search patterns in response to seasonal, advocacy, and media events highlight internet-based opportunities for raising awareness and disseminating empirically supported information.

Personalized Depression Prevention: A Randomized Controlled Trial to Optimize Effects Through Risk-Informed Personalization

OBJECTIVE

To evaluate whether evidence-based depression prevention programs can be optimized by matching youths to interventions that address their psychosocial vulnerabilities.

METHOD

This randomized controlled trial included 204 adolescents (mean [SD] age = 14.26 [1.65] years; 56.4% female). Youths were categorized as high or low on cognitive and interpersonal risks for depression and randomly assigned to Coping With Stress (CWS), a cognitive-behavioral program, or Interpersonal Psychotherapy-Adolescent Skills Training (IPT-AST), an interpersonal program. Some participants received a match between risk and prevention (eg, high cognitive-low interpersonal risk teen in CWS, low cognitive-high interpersonal risk teen in IPT-AST), others received a mismatch (eg, low cognitive-high interpersonal risk teen in CWS). Outcomes were depression diagnoses and symptoms through 18 months postintervention (21 months total).

RESULTS

Matched adolescents showed significantly greater decreases in depressive symptoms than mismatched adolescents from postintervention through 18-month follow-up and across the entire 21-month study period (effect size [d] = 0.44, 95% CI = 0.02, 0.86). There was no significant difference in rates of depressive disorders among matched adolescents compared with mismatched adolescents (12.0% versus 18.3%, t193 = .78, p = .44).

CONCLUSION

This study illustrates one approach to personalizing depression prevention as a form of precision mental health. Findings suggest that risk-informed personalization may enhance effects beyond a one-size-fits-all approach.

CLINICAL TRIAL REGISTRATION INFORMATION

Bending Adolescent Depression Trajectories Through Personalized Prevention; https://www.clinicaltrials.gov/; NCT01948167.

Predictors and moderators of outcome of psychotherapeutic interventions for mental disorders in adolescents and young adults: protocol for systematic reviews

BACKGROUND

Adolescence and young adulthood is a risk period for the emergence of mental disorders. There is strong evidence that psychotherapeutic interventions are effective for most mental disorders. However, very little is known about which of the different psychotherapeutic treatment modalities are effective for whom. This large systematic review aims to address this critical gap within the literature on non-specific predictors and moderators of the outcomes of psychotherapeutic interventions among adolescents and young adults with mental disorders.

METHODS

The protocol is being reported in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) Statement. PubMed and PsycINFO databases will be searched for randomized controlled and quasi-experimental/naturalistic clinical trials. Risk of bias of all included studies will be assessed by the Mixed Methods Appraisal Tool. The quality of predictor and moderator variables will be also assessed. A narrative synthesis will be conducted for all included studies.

DISCUSSION

This systematic review will strengthen the evidence base on effective mental health interventions for young people, being the first to explore predictors and moderators of outcome of psychotherapeutic interventions for a wide range of mental disorders in young people.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42020166756 .

Can Artificial Intelligence Improve Psychotherapy Research and Practice?

Leonard Bickman's article on the future of artificial intelligence (AI) in psychotherapy research paints an encouraging picture of the progress to be made in this field. We support his perspective, but we also offer some cautionary notes about the boost AI can provide. We suggest that AI is not likely to transform psychotherapy research or practice to the degree seen in pharmacology and medicine because the factors that contribute to treatment response in these realms differ so markedly from one another, and in ways that do not favor advances in psychotherapy. Despite this limitation, it seems likely that AI will have a beneficial impact, improving empirical analysis through data-driven model development, tools for addressing the limitations of traditional regression methods, and novel means of personalizing treatment. In addition, AI has the potential to augment the reach of the researcher and therapist by expanding our ability to gather data and deliver interventions beyond the confines of the lab or clinical office.

Emotion Differentiation and Youth Mental Health: Current Understanding and Open Questions

A growing body of research identifies emotion differentiation-the ability to specifically identify one's emotions-as a key skill for well-being. High emotion differentiation is associated with healthier and more effective regulation of one's emotions, and low emotion differentiation has been documented in several forms of psychopathology. However, the lion's share of this research has focused on adult samples, even though approximately 50% of mental disorders onset before age 18. This review curates what we know about the development of emotion differentiation and its implications for youth mental health. I first review published studies investigating how emotion differentiation develops across childhood and adolescence, as well as studies testing relations between emotion differentiation and mental health in youth samples. Emerging evidence suggests that emotion differentiation actually falls across childhood and adolescence, a counterintuitive pattern that merits further investigation. Additionally, several studies find relations between emotion differentiation and youth mental health, but some instability in results emerged. I then identify open questions that limit our current understanding of emotion differentiation, including (i) lack of clarity as to the valid measurement of emotion differentiation, (ii) potential third variables that could explain relations between emotion differentiation and mental-health (e.g., mean negative affect, IQ, personality, and circularity with outcomes), and (iii) lack of clear mechanistic models regarding the development of emotion differentiation and how it facilitates well-being. I conclude with a discussion of future directions that can address open questions and work toward interventions that treat (or even prevent) psychopathology.

Personalizing cognitive behavioral therapy for cancer-related fatigue using ecological momentary assessments followed by automated individual time series analyses: A case report series

INTRODUCTION

A common approach to personalizing psychological interventions is the allocation of treatment modules to individual patients based on cut-off scores on questionnaires, which are mostly based on group studies. However, this way, intraindividual variation and temporal dynamics are not taken into account. Automated individual time series analyses are a possible solution, since these can identify the factors influencing the targeted symptom in a specific individual, and associated modules can be allocated accordingly. The aim of this study was to illustrate how automated individual time series analyses can be applied to personalize cognitive behavioral therapy for cancer-related fatigue in cancer survivors and how this procedure differs from allocating modules based on questionnaires.

METHODS

This study was a case report series (n = 3). Patients completed ecological momentary assessments at the start of therapy, and after three treatment modules (approximately 14 weeks). Assessments were analyzed with AutoVAR, an R package that automates the process of finding optimal vector autoregressive models. The results informed the treatment plan.

RESULTS

Three cases were described. From the ecological momentary assessments and automated time series analyses three individual treatment plans were constructed, in which the most important predictor for cancer-related fatigue was treated first. For two patients, this led to the treatment ending after the follow-up ecological momentary assessments. One patient continued treatment until six months, the standard treatment time in regular treatment. All three treatment plans differed from the treatment plans informed by questionnaire scores.

DISCUSSION

This study is one of the first to apply time series analyses in systematically personalizing psychological treatment. An important strength of this approach is that it can be used for every modular cognitive behavioral intervention where each treatment module addresses specific maintaining factors. Whether or not personalized CBT is more efficacious than standard, non-personalized CBT remains to be determined in controlled studies comparing it to usual care.

Predicting Mental Health Treatment Access Among Adolescents With Elevated Depressive Symptoms: Machine Learning Approaches

A large proportion of adolescents experiencing depression never access treatment. To increase access to effective mental health care, it is critical to understand factors associated with increased versus decreased odds of adolescent treatment access. This study used individual depression symptoms and sociodemographic variables to predict whether and where adolescents with depression accessed mental health treatments. We performed a pre-registered, secondary analysis of data from the 2017 National Survey of Drug Use and Health (NSDUH), a nationally representative sample of non-institutionalized civilians in the United States. Using four cross-validated random forest models, we predicted whether adolescents with elevated past-year depressive symptoms (N = 1,671; ages 12-17 years) accessed specific mental health treatments in the previous 12 months ("yes/no" for inpatient, outpatient, school, any). 53.38% of adolescents with elevated depressive symptoms accessed treatment of any kind. Even with depressive symptoms and sociodemographic factors included as predictors, pre-registered random forests explained < 0.00% of pseudo out-of-sample deviance in adolescent access to inpatient, outpatient, school, or overall treatments. Exploratory elastic net models explained 0.80-2.50% of pseudo out-of-sample deviance in adolescent treatment access across all four treatment types. Neither individual depressive symptoms nor any socioeconomic variables meaningfully predicted specific or overall mental health treatment access in adolescents with elevated past-year symptoms. This study highlights substantial limitations in our capacity to predict whether and where adolescents access mental health treatment and underscores the broader need for more accessible, scalable adolescent depression treatments.

Systematic Review of Psychosocial Smoking Cessation Interventions for People with Serious Mental Illness

Tobacco smoking is a major driver of premature mortality in people with serious mental illness (SMI; e.g., schizophrenia, bipolar disorder). This systematic literature review described randomized control trials of psychosocial smoking cessation interventions for people with SMI, rated their methodological rigor, evaluated the inclusion of racial/ethnic and sexual/gender minorities, and examined smoking cessation outcomes. Methods: Eligible studies included peer-reviewed articles published between 2009 and 2020 that examined psychosocial smoking cessation interventions in people with SMI. We used the Preferred Reporting Items for Systematic Review and Meta-analysis guidelines to conduct our review and the Methodological Quality Rating Scale to evaluate methodological rigor. Results: Eighteen studies were included. Ten were categorized as high methodological rigor given their study characteristics (e.g., longer follow-up) and eight as lower methodological rigor based on their characteristics (e.g., not intent-to-treat). Racial/ethnic and sexual/gender minorities were under-represented in these studies. A range of psychosocial interventions were examined including motivational enhancements, smoking cessation education, cognitive behavioral strategies, and contingency management. Most studies also provided smoking cessation medications (e.g., NRT, bupropion), although provision was not always uniform across treatment conditions. Three studies found the intervention condition achieved significantly higher abstinence from smoking compared to the comparison group. Seven studies found the intervention condition achieved significantly higher reductions in smoking compared to the comparison group. Conclusions: Studies finding significant differences between the intervention and comparison groups shared common evidenced-based components, including providing smoking cessation medications (e.g., NRT, bupropion), motivational enhancement techniques, and cessation education and skills training, but differed in intensity (e.g., number and frequency of sessions), duration, and modality (e.g., group, individual, technology). Methodological limitations and a small number of studies finding significant between-group differences prevent the identification of the most effective psychosocial smoking cessation interventions. Clinical trial designs (e.g., SMART, factorial) that control for the provision of psychosocial medications and allow for the identification of optimal psychosocial treatments are needed. Future studies should also ensure greater inclusion of racial/ethnic and sexual/gender minorities and should be culturally/linguistically adapted to improve treatment engagement and study outcomes.

Harnessing Wise Interventions to Advance the Potency and Reach of Youth Mental Health Services

Despite progress in research on evidence-based treatments (EBTs) for youth psychopathology, many youths with mental health needs do not receive services, and EBTs are not always effective for those who access them. Wise interventions (WIs) may help address needs for more disseminable, potent youth mental health interventions. WIs are single-component, social-psychological interventions designed to foster adaptive meaning-making. They have improved health-related and interpersonal youth outcomes, yet their potential to reduce youth psychopathology has not been systematically explored. Accordingly, we conducted a systematic, descriptive review characterizing WIs' potential to reduce youth mental health problems. Across 25 RCTs (N = 9219 youths, ages 11-19) testing 13 intervention types, 7 WIs qualified as "Well-Established," "Probably Efficacious," or "Possibly Efficacious" for reducing one or more types of youth psychopathology, relative to controls. Among these, 5 WIs significantly reduced youth depressive symptoms; 3, general psychological distress; and 1 each, eating problems, anxiety, and substance use. Three of these 7 WIs were self-administered by youths, and four by trained interventionists; collectively, they were 30-168 min in length and targeted clinic-referred and non-referred samples in clinical, school, and laboratory settings. Overall, certain WIs show promise in reducing mild-to-severe youth psychopathology. Given their brevity and low cost relative to traditional (i.e., therapist-delivered, 12- to 16-week, clinic-based) EBTs, WIs may represent beneficial additions to the youth mental healthcare ecosystem. Priorities for future research are proposed, including testing WIs for parents, younger children, and externalizing problems; as EBT adjuncts; and in schools and primary care clinics to increase access to brief, effective supports.

Personalizing Child Protection: The Value of Responsivity Factors

Personalization is an important strategy for enhancing the effectiveness of treatment that is aimed at reducing the risk of child maltreatment. In recent years, a growing body of research has appeared on how child protection can benefit from the principles of the Risk-Need-Responsivity model, but no attention has yet been paid to the implementation of the responsivity principle in child protection. Put simply, this principle states that treatment must be tailored to individual characteristics of clients to optimize its effectiveness. This study was the first to address how the responsivity principle can be of value in child protection. First, a systematic review of responsivity factors in forensic care was performed. Second, the relevance of applying each factor in child protection was examined through interviews with clinical professionals working in the field, who also provided suggestions on how treatment can be tailored to each of these factors. This resulted in an overview of seven responsivity factors all related to caregiver characteristics: problem denial, motivation to cooperate with treatment, psychological problems, cognitive abilities, cultural background, practical barriers such as financial problems and social support, and barriers to specific treatment types such as group therapy. Implications and recommendations for strengthening clinical practice are discussed.

Emotion regulation training as a treatment element for externalizing problems in adolescence: A randomized controlled micro-trial

Improving interventions for externalizing problems in adolescence may require determining which treatment elements actually produce change. In this micro-trial, we tested a treatment element addressing one widely-hypothesized mechanism underlying externalizing problems: emotion regulation. We tested whether emotion regulation could be improved via training, whether adolescents who received such training would subsequently show reduced externalizing problems, and which training approach and sequence was most effective. We randomized 108 adolescents with elevated externalizing problems (71.3% boys, M_age = 13.66, SD = 1.10) to a control condition or an experimental condition teaching emotion regulation through either a cognitive or behavioral approach, in alternated sequences. Effects of the modules were assessed before and after the modules, and with weekly assessments. The results showed a positive effect of the experimental training on self-reported use of adaptive emotion regulation strategies. However, self-reported externalizing problems decreased more in the control condition than in the experimental condition. No mediation, approach (cognitive versus behavioral) or sequence (cognitive-behavioral versus behavioral-cognitive sequence) effects were found. These findings illustrate that change in a proposed mechanism may not be accompanied by change in targeted problems; this highlights the importance of testing the hypothesized impact of specific treatment elements on targeted mental health problems. TRIAL REGISTRATION: This trial was registered in the Dutch Trial Register (NTR7334, July 10th, 2018) and the study protocol was published (te Brinke, Schuiringa, Menting, Deković, & de Castro, 2018).

Preliminary analysis of low-level alcohol use and suicidality with children in the adolescent brain and cognitive development (ABCD) baseline cohort

Cross-sectional analyses were conducted in the baseline cohort of the Adolescent Brain and Cognitive Development (ABCD) Study to determine if lifetime low-level alcohol use was associated with an increased likelihood of lifetime suicidality (N=10,773, ages 9-10). Among the lifetime suicide ideation and attempt groups, 37.7% and 36.2% reported lifetime low-level alcohol use, respectively; versus 22.2% in the non-suicidality group. Children reporting lifetime alcohol use (i.e., ≥ a sip) showed a nearly two-fold increase in their odds of lifetime suicidality compared to those with no previous alcohol use. Future prospective research with this cohort will continue to probe alcohol-suicidality associations.

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.

A systematic review and meta-analysis of psychological interventions to improve mental wellbeing

Our current understanding of the efficacy of psychological interventions in improving mental states of wellbeing is incomplete. This study aimed to overcome limitations of previous reviews by examining the efficacy of distinct types of psychological interventions, irrespective of their theoretical underpinning, and the impact of various moderators, in a unified systematic review and meta-analysis. Four-hundred-and-nineteen randomized controlled trials from clinical and non-clinical populations (n = 53,288) were identified for inclusion. Mindfulness-based and multi-component positive psychological interventions demonstrated the greatest efficacy in both clinical and non-clinical populations. Meta-analyses also found that singular positive psychological interventions, cognitive and behavioural therapy-based, acceptance and commitment therapy-based, and reminiscence interventions were impactful. Effect sizes were moderate at best, but differed according to target population and moderator, most notably intervention intensity. The evidence quality was generally low to moderate. While the evidence requires further advancement, the review provides insight into how psychological interventions can be designed to improve mental wellbeing.

Quantifying the Child-Therapist Interaction in ASD Intervention: An Observational Coding System

BACKGROUND

Observational research plays an important part in developmental research due to its noninvasiveness. However, it has been hardly applied to investigate efficacy of the child-therapist interaction in the context of naturalistic developmental behavioral interventions (NDBI). In particular, the characteristics of child-therapist interplay are thought to have a significant impact in NDBIs in children with autism spectrum disorder (ASD). Quantitative approaches may help to identify the key features of interaction during therapy and could be translated as instruments to monitor early interventions.

METHODS

n = 24 children with autism spectrum disorder (ASD) were monitored from the time of the diagnosis (T0) and after about one year of early intervention (T1). A novel observational coding system was applied to video recorded sessions of intervention to extract quantitative behavioral descriptors. We explored the coding scheme reliability together with its convergent and predictive validity. Further, we applied computational techniques to investigate changes and associations between interaction profiles and developmental outcomes.

RESULTS

Significant changes in interaction variables emerged with time, suggesting that a favorable outcome is associated with interactions characterized by increased synchrony, better therapist's strategies to successfully engage the child and scaffold longer, more complex and engaging interchanges. Interestingly, data models linked interaction profiles, outcome measures and response trajectories.

CONCLUSION

Current research stresses the need for process measures to understand the hows and the whys of ASD early intervention. Combining observational techniques with computational approaches may help in explaining interindividual variability. Further, it could disclose successful features of interaction associated with better response trajectories or to different ASD behavioral phenotypes that could require specific dyadic modalities.

Protocol for a young adult mental health (Uspace) cohort: personalising multidimensional care in young people admitted to hospital

INTRODUCTION

Currently, the literature on personalised and measurement-based mental healthcare is inadequate with major gaps in the development and evaluation of 21st century service models. Clinical presentations of mental ill health in young people are heterogeneous, and clinical and functional outcomes are often suboptimal. Thus, treatments provided in a person-centred and responsive fashion are critical to meet the unique needs of young people and improve individual outcomes. Personalised care also requires concurrent assessment of factors relating to outcomes and underlying neurobiology. This study builds on a completed feasibility study and will be the first to incorporate clinical, cognitive, circadian, metabolic and hormonal profiling with personalised and measurement-based care in a cohort of young people admitted to hospital.

METHODS AND ANALYSIS

This prospective, transdiagnostic, observational study will be offered to all young people between the ages of 16 and 30 years admitted to the inpatient unit of the participating centre. In total, 400 participants will be recruited. On admission to hospital, young people will undergo clinical and diagnostic assessment, cognitive testing, self-report questionnaires, metabolic and hormonal data collection, and anthropomorphic measurements. Participants will wear an actigraphy watch for at least 1 week during admission to measure circadian patterns and sleep-wake cycles. A feedback session between clinician and participant will occur after clinical and other laboratory assessments to tailor individual treatment plans, explain the ongoing process of measurement-based care, and provide participant and family education. Associations between cognitive impairments, disturbed sleep-wake behaviours, circadian rhythms, clinical symptoms and functional impairments will be evaluated to improve the understanding of parameters affecting clinical outcomes.

ETHICS AND DISSEMINATION

This study protocol was approved by the Human Research Ethics Committees of the University of Sydney (HREC USYD 2015/867) and St Vincent's Hospital (HREC SVH 17/045). This study will be published on completion in a peer-reviewed journal.

Comorbid Depression and Anxiety Symptoms in Chinese Adolescents: Testing the Explanatory Power of a Diathesis-Anxiety Model

Anxiety and depressive symptoms frequently co-occur in adolescence and confer greater distress compared to experiencing either symptom alone. A causal model (anxiety symptoms predicting depressive symptoms), a correlated liabilities model (vulnerabilities interacting with stressors to predict both symptoms), and a diathesis-anxiety model (vulnerabilities interacting with anxiety symptoms to predict depressive symptoms) have all been proposed as explanations for the relation between depression and anxiety. To date, however, research has mostly examined these models among North American/Western European adolescents. In response, the present study sought to identify the best explanatory model concerning the relationship between anxiety and depressive symptoms among Chinese adolescents. 494 10^th grade students were assessed for their perceived levels of family cohesion and conflict, stressors, and depressive and anxiety symptoms. Every 3 months for 18 months, youth reported their symptoms and stressors. Symptoms and stressors were person-mean and grand-mean centered to compare nomothetic and idiographic conceptualizations of vulnerability. Overall, evidence suggested a reciprocal, versus causal, relation between anxiety and depressive symptoms. Further, while cohesion and conflict independently predicted anxiety and depressive symptoms, their interactions with stressors were not supported. Ultimately, strong support was found for a diathesis-anxiety model using an idiographic conceptualization of anxiety, such that low perceived family cohesion interacted with within-subject fluctuations of anxiety to predict prospective depressive symptoms. This study provides cross-cultural support for a diathesis-anxiety model and shows the importance of distinguishing between positive and negative family functioning when examining vulnerability in Chinese adolescents. Research and clinical implications of these findings are discussed.

A process-based approach to psychological diagnosis and treatment:The conceptual and treatment utility of an extended evolutionary meta model

For half a century, the dominant paradigm in psychotherapy research has been to develop syndrome-specific treatment protocols for hypothesized but unproved latent disease entities, as defined by psychiatric nosological systems. While this approach provided a common language for mental health problems, it failed to achieve its ultimate goal of conceptual and treatment utility. Process-based therapy (PBT) offers an alternative approach to understanding and treating psychological problems, and promoting human prosperity. PBT targets empirically established biopsychosocial processes of change that researchers have shown are functionally important to long terms goals and outcomes. By building on concepts of known clinical utility, and organizing them into coherent theoretical models, an idiographic, functional-analytic approach to diagnosis is within our grasp. We argue that a multi-dimensional, multi-level extended evolutionary meta-model (EEMM) provides consilience and a common language for process-based diagnosis. The EEMM applies the evolutionary concepts of context-appropriate variation, selection, and retention to key biopsychosocial dimensions and levels related to human suffering, problems, and positive functioning. The EEMM is a meta-model of diagnostic and intervention approaches that can accommodate any set of evidence-based change processes, regardless of the specific therapy orientation. In a preliminary way, it offers an idiographic, functional analytic, and clinically useful alternative to contemporary psychiatric nosological systems.

Computerized Adaptive Tests for Rapid and Accurate Assessment of Psychopathology Dimensions in Youth

OBJECTIVE

At least half of youths with mental disorders are unrecognized and untreated. Rapid, accurate assessment of child mental disorders could facilitate identification and referral and potentially reduce the occurrence of functional disability that stems from early-onset mental disorders.

METHOD

Computerized adaptive tests (CATs) based on multidimensional item response theory were developed for depression, anxiety, mania/hypomania, attention-deficit/hyperactivity disorder, conduct disorder, oppositional defiant disorder, and suicidality, based on parent and child ratings of 1,060 items each. In phase 1, CATs were developed from 801 participants. In phase 2, predictive, discriminant, and convergent validity were tested against semi-structured research interviews for diagnoses and suicidality in 497 patients and 104 healthy controls. Overall strength of association was determined by area under the receiver operating characteristic curve (AUC).

RESULTS

The child and parent independently completed the Kiddie-Computerized Adaptive Tests (K-CATs) in a median time of 7.56 and 5.03 minutes, respectively, with an average of 7 items per domain. The K-CATs accurately captured the presence of diagnoses (AUCs from 0.83 for generalized anxiety disorder to 0.92 for major depressive disorder) and suicidal ideation (AUC = 0.996). Strong correlations with extant measures were found (r ≥ 0.60). Test-retest reliability averaged r = 0.80.

CONCLUSION

These K-CATs provide a new approach to child psychopathology screening and measurement. Testing can be completed by child and parent in less than 8 minutes and yields results that are highly convergent with much more time-consuming structured clinical interviews and dimensional severity assessment and measurement. Testing of the implementation of the K-CAT is now indicated.

Latent Profiles of Cognitive and Interpersonal Risk Factors for Adolescent Depression and Implications for Personalized Treatment

A personalized approach to treatment with patients being matched to the best-fit treatment has been proposed as one possible solution to the currently modest treatment response rates for adolescent depression. Personalized treatment involves identifying and characterizing subgroups likely to respond differently to different treatments. We investigated the feasibility of this approach, by focusing on two key risk factors that are the purported treatment targets of cognitive behavioral therapy (CBT) and interpersonal psychotherapy for depressed adolescents (IPT-A): negative unrealistic cognitions and interpersonal relationship difficulties, respectively. We sought to learn whether subgroups high and low on the two risk factors, respectively, might be identified in a large sample of depressed, treatment-seeking adolescents. Latent class analysis (LCA) was conducted on measures of the two risk factors among 431 adolescents (age 12-17) in the Treatment for Adolescents with Depression Study. LCA identified three classes: (1) adolescents with high levels of problems in both family relationships and cognitions (21.6% of sample), (2) adolescents with moderate levels of problems in both domains (52.4%), and (3) adolescents with low levels of problems in both domains (26.0%). These subgroups did not predict treatment outcome with CBT or CBT + fluoxetine (COMB). The results challenge a current assumption about how treatments could be personalized, and they support a multi-causal model of depression rather than a risk-factor-specific model. Strategies other than risk factor-based personalizing for case assignment to CBT vs. IPT-A are discussed.

A complex dynamical systems approach to the development of feeding problems in early childhood

Though it is commonly agreed upon that the development of feeding problems in early childhood is a complex process, much of the research on these problems has a component-oriented focus, and very little attention is paid to the mechanisms that lead to these kinds of problems in individual children. The aim of this theoretical paper is to interpret the development of feeding problems in early childhood from a complex dynamical systems viewpoint. In addition to its focus on self-organization and nonlinearity, this approach defines several central properties of development: soft-assembly, embodiment, iterativity, the emergence of higher-order properties, and intra-individual variability. In this paper, I argue that each of these properties is highly relevant for understanding feeding problems and discuss the implications of this for both clinical practice and research purposes.

Brief report: The effectiveness of Dutch Cell Dogs: A multiple case experimental study

Prison-based dog training programs (DTPs) aim to improve successful rehabilitation after detention. However, empirical evidence for their effectiveness is lacking. To evaluate the effectiveness of a DTP-Dutch Cell Dogs (DCD)-on externalizing behavior, stress, self-esteem, empathy, and treatment motivation, a pilot study with a Multiple Case Experimental Design in six adolescents residing in a juvenile justice center (JJC) was conducted. Results did not provide convincing evidence for DCD's effectiveness. Further research is needed to determine whether and for whom DCD could be a useful addition to regular JJC programming.