Identifying youth at risk for psychosis using the Behavior Assessment System for Children, Second Edition
Introduction
Psychotic disorders (e.g., schizophrenia) often have negative effects on emotional, social, and occupational functioning, and can impose a substantial economic burden on families and health care systems in general (Wu et al., 2005). A strong association has been established between the duration of untreated psychosis and a broad range of clinical and functional outcomes, including outcomes relating to symptom management, social and occupational functioning, and morbidity and mortality over time (Marshall et al., 2005). Evidence suggests that early identification and treatment can improve these negative sequelae (Stafford et al., 2013), however, many individuals with psychosis receive treatment only after symptoms have reached a level of severity that warrants urgent attention and may have already contributed to substantial psychosocial impairment (e.g., social isolation or drug and alcohol abuse; Bergner et al., 2008, Gerson et al., 2009, Tanskanen et al., 2011). Identification of clinical concerns at an earlier stage of symptom progression may lead to better outcomes for individuals on a trajectory toward psychotic illnesses. The goal of early identification that might lead to intervention, however, hinges on the improvement of strategies for identifying individuals early in the course of psychotic symptom progression.
The characterization of a high-risk or “prodromal” phase of psychosis marked by lower level or “attenuated” symptoms (psychosis-like in quality, but typically briefer and/or less intense; McGlashan et al., 2010) has expanded the potential opportunities for early intervention in this population (Fusar-Poli et al., 2012). Identifying individuals in early phases of psychosis would allow for targeted treatment of concomitant distress. Additionally, continuous psychosis symptom monitoring could facilitate the initiation of immediate specialized treatment should symptoms progress to a diagnosable psychotic disorder. Assessments such as the Structured Interview for Psychosis-Risk Syndromes (SIPS; Miller et al., 2003) and the Comprehensive Assessment for At-Risk Mental States (CAARMS; Yung et al., 2005) have made possible the reliable identification of patients at substantially increased risk for psychotic disorders; however, these tools require considerable time for clinician training and administration, and are unlikely to be widely adopted outside of specialty settings.
For these reasons, several brief self-report questionnaires have been developed with the goal of more efficiently screening people in the earliest stages of psychotic illness. Several screening tools targeting attenuated symptoms have been introduced (e.g., Miller et al., 2004, Ord et al., 2004, Loewy et al., 2011). Recent research has shown that these self-ratings of attenuated psychotic symptoms may be useful for identifying individuals with psychosis-risk or emergent psychotic symptoms among those seeking mental health services assessed within an early psychosis specialty clinic (Kline et al., 2012a, Kline et al., 2013). A few of these screening measures have been used for ‘real-world’ applications, for example in screening newly incarcerated men for mental health needs (Jarrett et al., 2012), and as a first-step assessment in a high-risk recruitment protocol (Ising et al., 2012, Rietdijk et al., 2012).
Despite promise, aspects of these screeners present challenges to clinical application. Concerns about the reliability of these measures exist, as screeners have been validated in different samples that may be distinct with regard to clinical concerns, cultural context, and other distinguishing features (Kline et al., 2012b). These differences in validation samples introduce uncertainty with regard to whether screener threshold scores are valid and stable across diverse populations. Additionally, screening specifically for symptoms signifying risk for psychosis could be perceived as highly stigmatizing (Corcoran et al., 2005, Reavley and Jorm, 2011). Further, despite findings that adolescence appears to represent a period of peak incidence for psychosis onset (Amminger et al., 2006, Kessler et al., 2007, Schimmelmann et al., 2007), screeners may pose questions that are developmentally inappropriate for younger respondents.
Broad-based mental health screening tools and checklists are commonly employed in behavioral and mental health screening for youth and have the potential to address some of the concerns raised by psychosis-specific screeners. Widely-used inventories such as the Behavior Assessment System for Children, Second Edition (BASC-2; Reynolds and Kamphaus, 2004) and the Child Behavior Checklist (CBCL; Achenbach, 1991) are composed of questions designed to assess many different areas of functioning, including numerous clinical domains such as depression, anxiety, conduct problems and other symptomatology related to common mental health diagnoses. As a result of their comprehensiveness, these measures offer clinically diverse information helping to inform a thorough case conceptualization. The effectiveness of these measures to better inform identification and treatment of early psychosis, however, is relatively unknown. One study found that the parent rating scale of the CBCL was not useful in discriminating at-risk participants who converted to psychosis from at-risk participants who did not in the year following initial assessment (Simeonova et al., 2011). Given other findings demonstrating poor agreement between parents and youth on the presence of psychotic-like symptoms (Kline et al., 2013, Nugent et al., 2013), self-report questionnaires may be more informative for the purpose of screening. Additionally, Simeonova and colleague's study attempted to distinguish future converters from within a sample at high-risk; it did not speak to whether or not parent CBCL reports could be used to identify individuals at risk or already with psychosis from individuals not at risk.
The BASC-2 is another widely used multi-informant behavior checklist that, in addition to more common behavioral health issues, includes an “atypicality” scale specifically designed to recognize the presence of symptoms thought to indicate heightened risk for psychosis. Items included in the atypicality scale assess symptoms similar to those targeted by psychosis-risk screeners, including odd behaviors, paranoia, and perceptual abnormalities. Although the BASC-2 has received extensive use in research and clinical practice, little is known about the atypicality scale and its utility in terms of psychosis and psychosis-risk screening (Nugent et al., 2013). Given its wide use in general mental health settings, its broad coverage of a variety of mental health concerns, and its developmentally sensitive structure and item content, the BASC-2 could be a useful tool to better facilitate early identification.
The aim of the current study is to investigate the ability of the BASC-2 atypicality scale to predict SIPS-defined psychosis or psychosis-risk status. This study also seeks to examine the predictive strength of the atypicality scale in relation to three leading psychosis-risk screeners with regard to SIPS status. We hypothesize that atypicality scores will be strongly associated with SIPS ratings as well as other screening measures designed specifically for assessing psychosis risk.
Section snippets
Procedure
The current study was conducted through the University of Maryland, Baltimore County (UMBC) and the University of Maryland, School of Medicine. All research procedures were approved by the Institutional Review Boards at both institutions. Participants were recruited through flyers posted in community clinics, on the UMBC campus, and through educational talks to community mental health providers. The majority of participants were referred to the study by community providers who noted concerns
Results
Thirty-one participants (44%) were classified as positive cases according to the SIPS (i.e., met diagnostic criteria for a psychosis risk syndrome or a psychotic disorder). The positive case group did not significantly differ from the negative case group in terms of gender or race, however, the mean age of the positive group (15.62 years) was significantly lower than the negative case group (17.66 years; F = 8.65, p < .01). For additional clinical characteristics of the sample, see Table 2.
Discussion
The primary goal of this study was to assess agreement between the atypicality scale of the BASC-2 and the SIPS interview by administering both within a sample of youth seeking mental health services in the community. Findings indicate that youth reports on the atypicality scale were strongly associated with clinician ratings of positive symptom severity. The strength of the association is high despite the fact that the atypicality scale is a self-report measure whereas the SIPS is a
Role of the funding source
This work was supported in part by funding from the Maryland Department of Health and Mental Hygiene, Mental Hygiene Administration through the 1915(c) Home and Community-Based Waiver Program Management, Workforce Development and Evaluation (OPASS# 13-10954G/M00B3400369); Baltimore Mental Health Systems; a Research Seed Funding Initiative (RSFI) grant from the University of Maryland, Baltimore County; the Passano Foundation; and the Johns Hopkins Center for Mental Health in Pediatric Primary
Contributors
Dr. Schiffman oversaw the study design, data analysis, data interpretation and manuscript preparation. Ms. Thompson and Ms. Kline contributed to data collection, data analyses, and manuscript preparation. Dr. Pitts served as statistical consultant. Dr. Reeves oversaw protocol development and implementation.
Conflict of interest
The authors have no actual or potential conflicts of interest to report.
Acknowledgments
None.
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