Enhancing Psychotherapy Outcomes by Encouraging Patients to Regularly Self-Monitor, Reflect on, and Share Their Affective Responses Toward Their Therapist: Protocol for a Randomized Controlled Trial.

BACKGROUND: The quality of the therapeutic relationship is pivotal in determining psychotherapy outcomes. However, facilitating patients' self-awareness, reflection on, and sharing of their affective responses toward their therapist remains underexplored as a potential tool for enhancing this relationship and subsequent treatment outcomes. OBJECTIVE: The primary objective of this study is to examine whether and how the patients' regular self-monitoring and self-reflection (fostered by the systematic compilation of a brief postsession battery) on their affective reactions toward the psychotherapist impact the quality of the therapeutic relationship and treatment outcomes in individual psychotherapy. Secondary objectives are to (1) explore whether and how the characteristics of the patient, the therapist, and the process moderate the effect of regular self-monitoring on the therapeutic relationship and outcomes; (2) examine the relationships between the affective response of the patient, the alliance, and the result of the therapy session outcome; and (3) explore how the affective responses of the patient unfold or change throughout the course of the therapy. METHODS: We conducted a 1:1 randomized controlled trial of adults in individual psychotherapy versus individual psychotherapy plus self-monitoring. Participants will be enrolled through the web-based recruitment platforms "ResearchMatch" and "Research for Me," and data will be collected through web-based surveys. Participants in the control group will receive only their regular individual psychotherapy (treatment as usual) and will not complete postsession questionnaires. Participants in the intervention group will continue their regular individual psychotherapy sessions and complete the "in-Session Patient Affective Reactions Questionnaire" and the "Rift In-Session Questionnaire" following each therapy session in the 10 weeks of the trial. Additionally, after completion of the postsession battery, they will receive general written feedback encouraging them to discuss their feelings and reflections with their therapist. Participants in both groups will complete a comprehensive psychological assessment at baseline, midtrial (week 5), and end-of-trial (week 10). The primary outcome measure of the trial is the "Clinical Outcomes in Routine Evaluation-Outcome Measure," while the secondary outcomes are the "Real Relationship Inventory-Client-Short Form," the "Working Alliance Inventory-Short Revised," and the number of scheduled therapy sessions that the patient has missed or canceled. RESULTS: The trial was approved by the institutional review board of the University of North Carolina at Chapel Hill. Recruitment started in September 2023. A total of 475 individuals completed the baseline assessment. Data collection was completed in February 2024. The results are expected to be published in the autumn of 2024. CONCLUSIONS: This study could reveal key information on how regular self-monitoring and introspection can influence both the therapeutic relationship and treatment outcomes. Findings have the potential to shape interventions, enhance the efficacy of psychotherapeutic sessions, and possibly offer a cost-effective strategy for improving patients' well-being. TRIAL REGISTRATION: ClinicalTrials.gov NCT06038747; https://classic.clinicaltrials.gov/ct2/show/NCT06038747. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/55369.

Comparing Symptoms of Major Depression in Youth with Confirmed Versus Suspected Bipolar Disorder.

Background: While numerous studies have compared symptoms of major depressive episodes (MDEs) associated with bipolar disorder (BD; i.e., bipolar depression) versus major depressive disorder (MDD; i.e., unipolar depression), little is known about this topic in youth. We compared MDE symptoms in youth with BD with youth with suspected BD who have similar clinical and familial characteristics aside from having BD. Methods: MDE symptoms based on Kiddie Schedule for Affective Disorders and Schizophrenia for School Age Children (K-SADS) Depression Rating Scale items for the most severe past episode were compared in youth, ages 13-21 years, with BD (n = 208) versus suspected BD (n = 165). Diagnoses were confirmed via semistructured interviews. Symptoms with between-group differences (p < 0.05) in univariate analyses were evaluated in a multivariate forward stepwise regression. All analyses controlled for age and sex. Results: Youth with BD had significantly higher (more severe) ratings on depressed mood (p = 0.001, η2 = 0.05), irritability (p = 0.037, η2 = 0.02), anhedonia (p = 0.004, η2 = 0.04), negative self-image (p < 0.001, η2 = 0.07), hopelessness (p = 0.04, η2 = 0.02), fatigue (p = 0.001, η2 = 0.05), hypersomnia (p = 0.001, η2 = 0.05), suicidal ideation (p = 0.04, η2 = 0.02), and recurrent thoughts of death (p < 0.001, η2 = 0.05). In regression analyses, the only symptom that remained significant in the BD group was depressed mood (p = 0.002). Conclusions: These findings demonstrate greater severity of depressive symptoms in youth with BD versus MDD across mood, and cognitive and neurovegetative symptom domains. These differences are especially noteworthy given that the MDD group was highly similar to the BD group, aside from BD diagnosis. Present findings emphasize the need for novel treatment approaches to bipolar depression in youth, and for studies examining potential mechanisms underlying the increased severity of bipolar depression.

Development and validation of an 8-item version of the Real Relationship Inventory-Client form.

OBJECTIVE: To develop and validate a very brief version of the 24-item Real Relationship Inventory-Client (RRI-C) form. METHOD: Two independent samples of individual psychotherapy patients (Nsample1 = 700, Nsample2 = 434) completed the RRI-C along with other measures. Psychometric scale shortening involved exploratory factor analysis, item response theory analysis, confirmatory factor analysis (CFA), and multigroup CFA. Reliability and convergent and discriminant validity of the scale and subscales were also assessed. RESULTS: The 8-item RRI-C (RRI-C-SF) preserves the two-factor structure: Genuineness (k = 4, α = .86) and Realism (k = 4, α = .87), which were correlated at r = .74. CFA provided the following fit indices for the bifactor model: X2/df = 2.16, CFI = .99, TLI = .96, RMSEA = .07, and SRMR = .03. Multigroup CFA showed that the RRI-C-SF was invariant across in-person and remote session formats. The RRI-C-SF demonstrated high reliability (α = .91); high correlation with the full-length scale (r = .96); and excellent convergent and discriminant validity with measures of other elements of the therapeutic relationship, personality characteristics, current mental health state, and demographic-clinical variables. Clinical change benchmarks were calculated to serve as valuable tools for both research and clinical practice. CONCLUSION: The RRI-C-SF is a reliable measure that can be used for both research and clinical purposes. It enables a nuanced assessment of the genuineness and the realism dimensions of the real relationship.

The stability and persistence of symptoms in childhood-onset ADHD.

The course of childhood-onset attention deficit hyperactivity disorder (ADHD) varies across individuals; some will experience persistent symptoms while others' symptoms fluctuate or remit. We describe the longitudinal course of ADHD symptoms and associated clinical characteristics in adolescents with childhood-onset ADHD. Participants (aged 6-12 at baseline) from the Longitudinal Assessment of Manic Symptoms (LAMS) study who met DSM criteria for ADHD prior to age 12 were evaluated annually with the Kiddie Schedule for Affective Disorders and Schizophrenia for eight years. At each timepoint, participants were categorized as meeting ADHD criteria, subthreshold criteria, or not having ADHD. Stability of course was defined by whether participants experienced consistent ADHD symptoms, fluctuating symptoms, or remission. The persistence of the symptoms was defined by symptom status at the final two follow-ups (stable ADHD, stable remission, stable partial remission, unstable). Of 685 baseline participants, 431 had childhood-onset ADHD and at least two follow-ups. Half had a consistent course of ADHD, nearly 40% had a remitting course, and the remaining participants had a fluctuating course. More than half of participants met criteria for ADHD at the end of their participation; about 30% demonstrated stable full remission, 15% had unstable symptoms, and one had stable partial remission. Participants with a persistent course and stable ADHD outcome reported the highest number of symptoms and were most impaired. This work builds on earlier studies that describe fluctuating symptoms in young people with childhood-onset ADHD. Results emphasize the importance of ongoing monitoring and detailed assessment of factors likely to influence course and outcome to help young people with childhood-onset ADHD.

Psychometric Properties and Clinical Utility of CBCL and P-GBI Sleep Items in Children and Adolescents.

OBJECTIVE: Sleep is crucial to overall health, playing a complex role in a wide range of mental health concerns in children and adults. Nevertheless, clinicians may not routinely assess sleep problems due to lack of awareness or limitations such as cost or time. Scoring sleep-related items embedded on broader scales may help clinicians get more out of tools they are already using. The current study explores evidence of reliability, validity, and clinical utility of sleep-related items embedded on two caregiver-report tools: the Child Behavior Checklist (CBCL) and Parent General Behavior Inventory (P-GBI). METHOD: Youth aged 5-18 years and their parents were recruited from both an academic medical center (N = 759) and an urban community health center (N = 618). Caregivers completed the CBCL and P-GBI as part of a more comprehensive outpatient evaluation. Exploratory factor analyses, multi-group confirmatory factor analyses, and graded response models evaluated dimensionality, reliability, and invariance across samples. Correlations and receiver operating characteristic curve analyses probed associations with diagnostic and demographic variables. RESULTS: Two subscales emerged for each itemset. Across both samples, P-GBI sleep subscales were more reliable and consistent than CBCL sleep subscales, showed greater coverage of sleepiness and insomnia constructs, were better at discriminating individuals within a wider range of sleep complaints, and showed significant correlation with mood disorder diagnoses. CONCLUSIONS: The P-GBI sleep items provide a brief, reliable measure for assessing distinct dimensions of sleep complaints and detecting mood symptoms or diagnoses related to the youth's sleep functioning, making them a useful addition to clinical practice.

Categorical versus dimensional structure of autism spectrum disorder: A multi-method investigation.

Background: A key question for any psychopathological diagnosis is whether the condition is continuous or discontinuous with typical variation. The primary objective of this study was to use a multi-method approach to examine the broad latent categorical versus dimensional structure of autism spectrum disorder (ASD). Method: Data were aggregated across seven independent samples of participants with ASD, other neurodevelopmental disorders (NDD), and non-ASD/NDD controls (aggregate Ns = 512-16,755; ages 1.5-22). Scores from four distinct phenotype measures formed composite "indicators" of the latent ASD construct. The primary indicator set included eye gaze metrics from seven distinct social stimulus paradigms. Logistic regressions were used to combine gaze metrics within/across paradigms, and derived predicted probabilities served as indicator values. Secondary indicator sets were constructed from clinical observation and parent-report measures of ASD symptoms. Indicator sets were submitted to taxometric- and latent class analyses. Results: Across all indicator sets and analytic methods, there was strong support for categorical structure corresponding closely to ASD diagnosis. Consistent with notions of substantial phenotypic heterogeneity, the ASD category had a wide range of symptom severity. Despite the examination of a large sample with a wide range of IQs in both genders, males and children with lower IQ were over-represented in the ASD category, similar to observations in diagnosed cases. Conclusions: Our findings provide strong support for categorical structure corresponding closely to ASD diagnosis. The present results bolster the use of well-diagnosed and representative ASD groups within etiologic and clinical research, motivating the ongoing search for major drivers of the ASD phenotype. Despite the categorical structure of ASD, quantitative symptom measurements appear more useful for examining relationships with other factors.

Risk-Sensitive Decision-Making and Self-Harm in Youth Bipolar Disorder.

Background: Youth with bipolar disorder (BD) are at high risk for suicide and have high rates of self-harm, which includes both suicide attempts and non-suicidal self-injury. Greater risk-taking has been associated with suicide attempts in youth with major depression, although there are no studies examining the relationship between risk-related decision-making and self-harm in youth with BD. We aimed to examine the association of suicide risk with risk-sensitive decision-making in a controlled sample of youth with BD.Methods: Eighty-one youth with BD (based on DSM-IV criteria; 52 youth with a history of self-harm [BDSH+]; 29 without a history of self-harm [BDSH-]) and 82 age- and sex-matched control youth aged 13-20 years were recruited between 2012 and 2020. Decision-making and risk-taking performance were assessed via the Cambridge Gambling Task within the Cambridge Neuropsychological Test Automated Battery (CANTAB). General linear models were used to examine differences between groups with control for age, sex, and IQ.Results: There was a significant difference in the overall proportion of points bet (F2,157 = 3.87, P = .02, η2 = 0.23) such that BDSH- youth performed better than both BDSH+ (P = .02) and control youth (P = .04). Mean latency was significant (F3,156 = 4.12, P = .017, η2 = 0.03), with BDSH- youth deliberating longer than controls (P = .03). Risk-taking significantly differed between groups (F2,157 = 3.83, P = .02, η2 = 0.23), with BDSH- youth showing greater self-control compared to BDSH+ (P = .01) and control youth (P = .01).Conclusions: BDSH- youth had greater self-control and lower risk-taking. We speculate this finding may be reflective of a compensatory process among BDSH- youth serving a protective role in suicide risk. Future longitudinal studies are needed to examine the temporal association of neurocognition and self-harm among youth with BD.

Development and Initial Validation of the in-Session Patient Affective Reactions Questionnaire (SPARQ) and the Rift In-Session Questionnaire (RISQ).

This article discusses the development and preliminary validation of a self-report inventory of the patient's perception of, and affective reaction to, their therapist during a psychotherapy session. First, we wrote a pool of 131 items, reviewed them based on subject matter experts' review, and then collected validation data from a clinical sample of adult patients in individual therapy (N = 701). We used exploratory factor analysis and item response theory graded response models to select items, confirmatory factor analysis (CFA) to test the factor structure, and k-fold cross-validation to verify model robustness. Multi-group CFA examined measurement invariance across patients with different diagnoses (unipolar depression, bipolar disorder, and neither of these). Three factors produced short scales retaining the strongest items. The in-Session Patient Affective Reactions Questionnaire (SPARQ) has a two-factor structure, yielding a four-item Negative affect scale and a four-item Positive affect scale. The Relationship In-Session Questionnaire (RISQ) is composed of four items from the third factor with dichotomized responses. Both scales showed excellent psychometric properties and evidence of metric invariance across the three diagnostic groups: unipolar depression, bipolar disorder, and neither of these. The SPARQ and the RISQ scale can be used in clinical or research settings, with particular value for capturing the patient's perspectives about their therapist and session-level emotional processes.

Erotic Feelings Towards Patients in the Psychotherapy Session: Investigating Their Relationship With the Characteristics of the Therapist, the Patient, and the Treatment.

Experiencing erotic feelings towards a patient is a fairly common occurrence, not pathological per se, during phases of psychotherapy. This study aims to analyze associations between, on the one hand, the presence in therapists of romantic attraction (RA), sexual attraction (SA), or flirting behavior (FB) toward patients and, on the other hand, a series of characteristics of therapist, patient, and treatment. Between April and June 2022, 547 psychotherapists completed an online survey investigating their affective and behavioral responses toward their most recently treated patient. Compared to female therapists, males showed significantly higher prevalence of SA alone (p < .001) or in combination with RA (p < .01), FB (p < .01), or both (p < .05). Multivariate adjusted regression models showed that RA was associated with patient age ≤40 years (OR:39.49 for age 18-29; OR:28.44 for age 30-39), male sex (OR:10.40), and diagnosis of mood disorder (OR:14.08). Furthermore, RA was associated with intense countertransference feelings of tenderness towards the patient (OR:79.77) and hostility towards significant figures in their life (OR: 77.93). SA was associated with the therapist's male sex/gender (OR: 16.14), psychoanalytic orientation (OR:13.34), post-license experience ≤20 years (OR:6.12 for 1-9 years; OR:6.08 for 10-19 years). Lastly, FB was associated with the therapist's male sex/gender (OR:16.94).

Adequacy of Children's Psychopharmacology Services: Variations by Race and Clinical Characteristics.

OBJECTIVE: An expert consensus approach was used to determine the adequacy of children's psychopharmacology and to examine whether adequacy varied by demographic or clinical characteristics. METHODS: Data were from the baseline interview of 601 children, ages 6-12 years, who had visited one of nine outpatient mental health clinics and participated in the Longitudinal Assessment of Manic Symptoms study. Children and parents were interviewed with the Kiddie Schedule for Affective Disorders and Schizophrenia and the Service Assessment for Children and Adolescents to assess the child's psychiatric symptoms and lifetime mental health services use, respectively. An expert consensus approach informed by published treatment guidelines was used to determine the adequacy of children's psychotropic medication treatment. RESULTS: Black children (compared with White children; OR=1.84, 95% CI=1.53-2.23) and those with anxiety disorders (vs. no anxiety disorder; OR=1.55, 95% CI=1.08-2.20) were more likely to receive inadequate pharmacotherapy; those whose caregivers had a bachelor's degree or more education (vs. those who had a high school education, general equivalency diploma, or less than high school education; OR=0.74, 95% CI=0.61-0.89) were less likely to receive inadequate pharmacotherapy. CONCLUSIONS: The consensus rater approach permitted use of published treatment efficacy data and patient characteristics (e.g., age, diagnoses, history of recent hospitalizations, and psychotherapy) to assess adequacy of pharmacotherapy. These results replicate findings of racial disparities reported in previous research using traditional methods to determine treatment adequacy (e.g., with a minimum number of treatment sessions) and highlight the continued need for research on racial disparities and strategies to improve access to high-quality care.

Advancing the Actionability of Mental Health Information: Identifying Online, Evidence-Based Mental Health Resources.

To improve the dissemination and actionability of mental health research, many mental health professionals have developed online informational resources to increase the general public's awareness of mental health difficulties and available treatments. Yet, limited information exists on the quality and scope of these resources. This study aimed to explore the scope and quantity of online, free, evidence-based mental health resources. Fifty-two mental health professionals nominated 178 resources, which predominantly consisted of homepages and links to more information. When reviewing the original nominations, our team identified an additional 290 resources (e.g., fact sheets linked from a nominated homepage). Of the 468 total nominated resources, 72 were screened out due to not meeting the inclusion criteria of being free (inter-screener reliability = 95%), evidence-based (inter-screener reliability = 94%), and online (inter-screener reliability = 96%). Nominated resources most commonly covered anxiety and obsessive-compulsive disorder (n = 67) and suicide (n = 60). Resources providing information about the mental health problem were most common (n = 210) and resources providing information about immediate help (e.g., hotline) were least common (n = 57). Our findings indicate many free, online, evidence-based resources are available and raise questions of whether efforts to disseminate mental health research are recreating the issue of information overload. Other considerations and future directions for improving the utilization and synthesizing of available resources are discussed.

Reorienting Latent Variable Modeling for Supervised Learning.

Despite its potentials benefits, using prediction targets generated based on latent variable (LV) modeling is not a common practice in supervised learning, a dominating framework for developing prediction models. In supervised learning, it is typically assumed that the outcome to be predicted is clear and readily available, and therefore validating outcomes before predicting them is a foreign concept and an unnecessary step. The usual goal of LV modeling is inference, and therefore using it in supervised learning and in the prediction context requires a major conceptual shift. This study lays out methodological adjustments and conceptual shifts necessary for integrating LV modeling into supervised learning. It is shown that such integration is possible by combining the traditions of LV modeling, psychometrics, and supervised learning. In this interdisciplinary learning framework, generating practical outcomes using LV modeling and systematically validating them based on clinical validators are the two main strategies. In the example using the data from the Longitudinal Assessment of Manic Symptoms (LAMS) Study, a large pool of candidate outcomes is generated by flexible LV modeling. It is demonstrated that this exploratory situation can be used as an opportunity to tailor desirable prediction targets taking advantage of contemporary science and clinical insights.

Comparing self-reported quality of life in youth with bipolar versus other disorders.

OBJECTIVES: This study benchmarks quality of life (QoL) of youth with bipolar disorder (BD) against healthy youth, youth with chronic medical conditions, and youth with other psychiatric disorders. The relative impacts of depressive, (hypo)manic, mixed, and externalizing symptoms on QoL are tested for youth with BD. METHOD: In total, 657 youth completed the Schedule for Affective Disorders and Schizophrenia for Children (KSADS), the KSADS depression and mania scales, the Parent General Behavior Inventory (PGBI), and the Child Behavior Checklist (CBCL). Youth-reported QoL was determined by the Revised Children Quality of Life Questionnaire (KINDL) and was compared to healthy youth, youth with chronic medical conditions, and youth with other psychiatric disorders. RESULTS: Youth with BD reported poorer QoL overall and on most subscales compared to healthy youth, youth with chronic medical conditions, youth with behavior disorders, and youth with other non-behavior/non-mood disorders. QoL in youth with BD did not differ significantly from QoL in youth with unipolar depression. Parent-report and interview-rated depressive symptoms were associated with decreases in Total QoL and all QoL subscales except Family. Externalizing symptoms were associated with decreases in Family QoL and increases in Friend QoL, and (hypo)manic symptoms were associated with increases in Emotional Well-Being QoL. CONCLUSIONS: Depressive symptoms may drive the decline in QoL causing youth with BD to rate their QoL worse than healthy youth, youth with chronic medical conditions, and youth with behavior disorders, but not worse than youth with unipolar depression.

Editorial: Adding Measures of Emotion Dysregulation to Our Toolkits.

Emotion dysregulation is at the heart of our work with families. Learning to recognize and regulate emotions is among the most important developmental tasks. Culturally inappropriate displays of emotion are a major driver of clinical referrals for externalizing problems, but ineffective and maladaptive emotion regulation also contributes to internalizing problems; in fact, emotion dysregulation is central to most psychopathology. Given its ubiquity and importance, it is perhaps surprising that there have not been well-known and well-validated options for assessing it. That is changing. Freitag and Grassie et al.1 conducted a systematic review of emotion dysregulation questionnaires in children and adolescents. Searching 3 databases, they scanned more than 2,000 articles, retaining more than 500 in their review, capturing 115 different instruments. They found an 8-fold increase in published research comparing the first and second decades of this millennium, and a quadrupling of the number of measures available from 30 to 115.2 A recent narrative review by Althoff and Ametti3 of measures of irritability and dysregulation included several neighboring scales outside the scope of Freitag and Grassie et al.'s review.1.

The Autism Symptom Dimensions Questionnaire: Development and psychometric evaluation of a new, open-source measure of autism symptomatology.

AIM: To describe the development and initial psychometric evaluation of a new, freely available measure, the Autism Symptom Dimensions Questionnaire (ASDQ). METHOD: After development and revision of an initial 33-item version, informants completed a revised 39-item version of the ASDQ on 1467 children and adolescents (aged 2-17 years), including 104 with autism spectrum disorder (ASD). RESULTS: The initial 33-item version of the ASDQ had good reliability and construct validity. However, only four specific symptom factors were identified, potentially due to an insufficient number of items. Factor analyses of the expanded instrument identified a general ASD factor and nine specific symptom factors with good measurement invariance across demographic groups. Scales showed good-to-excellent overall and conditional reliability. Exploratory analyses of predictive validity for ASD versus neurotypical and other developmental disability diagnoses indicated good accuracy for population and at-risk contexts. INTERPRETATION: The ASDQ is a free and psychometrically sound informant report instrument with good reliability of measurement across a continuous range of scores and preliminary evidence of predictive validity. The measure may be a useful alternative to existing autism symptom measures but further studies with comparison of clinical diagnoses using criterion-standard instruments are needed. WHAT THIS PAPER ADDS: The Autism Symptom Dimensions Questionnaire (ASDQ) is a new, freely available measure of autism symptoms. The ASDQ showed reliable and accurate measurement of autism symptoms. The measure had good screening efficiency for autism spectrum disorder relative to other developmental conditions.

Finding a Needed Diagnostic Home for Children with Impulsive Aggression.

Aggressive behavior is one of the most common reasons for referrals of youth to mental health treatment. While there are multiple publications describing different types of aggression in children, it remains challenging for clinicians to diagnose and treat aggressive youth, especially those with impulsively aggressive behaviors. The reason for this dilemma is that currently several psychiatric diagnoses include only some of the common symptoms of aggression in their criteria. However, no single diagnosis or diagnostic specifier adequately captures youth with impulsive aggression (IA). Here we review select current diagnostic categories, including behavior and mood disorders, and suggest that they do not provide an adequate description of youth with IA. We also specifically focus on the construct of IA as a distinct entity from other diagnoses and propose a set of initial, provisional diagnostic criteria based on the available evidence that describes youth with IA to use for future evaluation.

Mapping the psychoanalytic literature on bipolar disorder: a scoping review of journal articles

Objective: To provide a review of journal articles discussing clinical cases or vignettes of psychoanalysis or psychoanalytic psychotherapy of patients affected by bipolar disorder. Methods: A thorough search of journal articles was performed in five databases to identify studies published from 1990-2021. Results: Twenty-four articles were included in this review, comprising a total of 29 case reports. The most common theoretical approach adopted by the authors was "object relations." Two main sets of clinical-theoretical considerations and recommendations emerge: the applicability of analytic treatment to patients with bipolar disorder - taking into account their analyzability and practical arrangements for conducting therapy - and theoretical speculations on the nature and development of the illness, as well as on the conceptualization of its different phases. Conclusion: Our findings reveal that there is some psychoanalytic literature providing insight into the psychological dynamics and treatment of patients with bipolar disorder. Elaboration of this literature may help improve our understanding and provide more accurate and comprehensive descriptions of the intrapsychic and interpersonal dynamics of these patients, yielding potentially valuable information for clinical and research purposes, particularly with regard to reducing interpersonal conflict, and increasing insight and engagement with lifestyle changes and other behaviors likely to promote health and stability.

Dimensional Assessment of Restricted and Repetitive Behaviors: Development and Preliminary Validation of a New Measure.

OBJECTIVE: This study aimed to provide initial validation of the Dimensional Assessment of Restricted and Repetitive Behaviors (DARB), a new parent-report measure designed to capture the full range of key restricted and repetitive behaviors (RRB) subdomains. METHOD: Parents of 1,892 children and adolescents with autism spectrum disorder (mean [SD] age = 10.81 [4.14] years) recruited from the SPARK (Simons Foundation Powering Autism Research for Knowledge) research match completed the DARB, several existing RRB instruments, and measures of social and communication impairments and anxiety. A subsample of 450 parents completed the DARB after 2 weeks to evaluate the test-retest stability. RESULTS: Exploratory graph analysis conducted in the exploratory subsample identified 8 dimensions that were aligned with hypothesized RRB subdomains: repetitive sensory motor behaviors, insistence on sameness, restricted interests, unusual interests, sensory sensitivity, self-injurious behaviors, obsessions and compulsive behaviors, and repetitive language. The confirmatory application of the exploratory structural equation modeling conducted in the confirmatory subsample showed that the derived factor structure had a good fit to the data. Derived factors had excellent reliability, convergent and divergent validity, and very strong test-retest stability and showed a distinct pattern of associations with key demographic, cognitive and clinical correlates. CONCLUSION: The DARB will be useful in a variety of research and clinical contexts considering the prominence and clinical impact of RRB in autism spectrum disorder. Strong preliminary evidence indicates that the new scale is comprehensive and captures a wide range of distinct RRB subdomains not simultaneously captured by any of the existing instruments.

An Optimized Version of the Positive and Negative Symptoms Scale (PANSS) for Pediatric Trials.

OBJECTIVE: The accepted primary outcome measure for evaluating psychotic symptoms is decades old, long, and initially designed for adults. Surprisingly, the psychometric properties of primary outcome measures have never been reported for a pediatric sample using modern methods. The present study's aim is to use a pediatric sample to evaluate the psychometrics of the most used primary outcome measure in pediatric schizophrenia trials, the Positive and Negative Syndrome Scale (PANSS). METHOD: To evaluate the factor structure, item characteristics, and treatment sensitivity of the PANSS in a pediatric sample, secondary analyses of PANSS data at baseline and weekly throughout an 8-week randomized double-blind study of 3 antipsychotic agents (registered and previously published) were conducted. Subjects were 118 youths receiving outpatient psychiatric treatment for schizophrenia spectrum disorders (mean age = 14.26 years, SD = 2.41 years). RESULTS: A 10-item short form, keeping 2 strongest items for each factor, had r = 0.89 with the full-length scale. Each of the five 2-item subscales has alphas ranging from 0.66 to 0.84. Item Response Theory (IRT) found that the 10-item scale and 2-item subscores had high reliability across the severity range typical of those for clinical trials. Criterion validity was high, with equal sensitivity to clinical changes over time. CONCLUSION: A 10-item PANSS version eliminates weaker items in the pediatric population while preserving coverage of 5 factors and similar sensitivity to clinical changes over time. It thus may be more appropriate for subsequent pediatric trials, and for clinical use when time and efficiency are paramount.

Diagnostic accuracy of the Child and Adolescent Symptom Inventory (CASI-4R) substance use subscale in detecting substance use disorders in youth.

Identifying substance use disorders (SUDs) early and accurately improves case formulation and treatment. Previous studies have investigated validity and reliability of the Child and Adolescent Symptom Inventory (CASI) for anxiety, mood, and behavior problems. The present study's aim was to test if the embedded CASI Substance Use (SU) subscale can discriminate adolescents and young adults (AYA) with and without a SUD diagnosis accurately enough to justify clinical application within an evidence-based assessment framework. N = 479 outpatient AYA (age 14-21) and their caregivers completed K-SADS-PLW semistructured diagnostic interviews; caregivers completed the CASI and adolescents completed a parallel version, the Youth (self-report) Inventory (YI). K-SADS-PLW indicated that 33 youth met Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria for SUDs. Receiver Operating Characteristic (ROC) analyses found that both CASI and YI Substance Use subscale scores significantly identified K-SADS-diagnosed SUDs in AYA: Caregiver area under curve (AUC) = .91, p < .0005; YI(AUC) = .90, p < .0005. There was no significant difference in diagnostic accuracy between informants. Both subscales showed diagnostic and clinical utility in identifying AYA SUDs in outpatient mental health settings. Findings suggest that the CASI-4R subscale could be a helpful screening instrument for AYA SUDs. A case vignette illustrates the clinical application of study findings. Future research should examine rapport as a moderator of reporting accuracy, and replicate use of these measures under varying clinical scenarios. (PsycInfo Database Record (c) 2023 APA, all rights reserved).