Resilience science in psychology and related fields emerged from clinical research on risk for psychopathology in the 1970s and matured over the ensuing decades with advances in theory, methods, and knowledge. Definitions and models of resilience shifted to reflect the expanding influence of developmental systems theory and the growing need to integrate knowledge about resilience across levels and disciplines to address multisystem threats. Resilience is defined for scalability and integrative purposes as the capacity of a dynamic system to adapt successfully through multisystem processes to challenges that threaten system function, survival, or development. Striking alignment of resilience factors observed in human systems, ranging from individuals to communities, suggests the possibility of networked, multisystem protective factors that work in concert. Evidence suggests that there may be resilience factors that provide transdiagnostic protection against the effects of adverse childhood experiences on risk for psychopathology. Multisystem studies of resilience offer promising directions for future research and its applications to promote mental health and positive development in children and youth at risk for psychopathology. Expected final online publication date for the Annual Review of Clinical Psychology, Volume 17 is May 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Abstract. The Pediatric Symptom Checklist-Youth self-report (PSC-Y) is a 35-item measure of adolescent psychosocial functioning that uses the same items as the original parent report version of the PSC. Since a briefer (17-item) version of the parent PSC has been validated, this paper explored whether a subset of items could be used to create a brief form of the PSC-Y. Data were collected on more than 19,000 youth who completed the PSC-Y online as a self-screen offered by Mental Health America. Exploratory factor analyses (EFAs) were first conducted to identify and evaluate candidate solutions and their factor structures. Confirmatory factor analyses (CFAs) were then conducted to determine how well the data fit the candidate models. Tests of measurement invariance across gender were conducted on the selected solution. The EFAs and CFAs suggested that a three-factor short form with 17 items is a viable and most parsimonious solution and met criteria for scalar invariance across gender. Since the 17 items used on the parent PSC short form were close to the best fit found for any subsets of items on the PSC-Y, the same items used on the parent PSC-17 are recommended for the PSC-Y short form.

We tested the accuracy of 2 parent-report tools, the Pediatric Symptom Checklist (PSC-35) and Child Behavior Checklist (CBCL), to identify attention-deficit/hyperactivity disorder (ADHD) and distinguish complex (highly comorbid) cases in an urban, largely Latino pediatric practice. Spanish- and English-speaking parents of children aged 6 to 10 years completed a PSC-35 and CBCL at well visits. Those with CBCL Attention Problems Subscale (CBCL-APS) T scores ≥60 plus controls completed the diagnostic MINI-KID (Miniature International Neuropsychiatric Interview) for Children. Receiver operating characteristic (ROC) curves quantified accuracy of both scales to distinguish ADHD from non-ADHD, and complex from simple ADHD. Two hundred and nine children were screened, and 41 completed diagnostic interviews. Both the CBCL-APS and PSC Attention Scale (PSC-AS) accurately identified ADHD; the CBCL-APS performed best (AUROC = 0.837; AUROC = 0.728). The PSC Total and Internalizing Scores and the number of CBCL subscale elevations accurately distinguished complex from simple ADHD; the PSC Internalizing Score performed best (AUROC = 0.700; AUROC = 0.817; AUROC = 0.762).

Using questionnaires, administrative claims, and chart review data, the current study explored the impact of using an electronic medical record system to administer, score, and store the Pediatric Symptom Checklist (PSC-17) during annual pediatric well-child visits. Within a sample of 1773 Medicaid-insured outpatients, the electronic system demonstrated that 90.5% of cases completed a PSC-17 screen electronically, billing codes indicating a screen was administered agreed with the existence of a questionnaire in the chart in 98.8% of cases, the classification of risk based on PSC-17 scores agreed with the classification of risk based on the Current Procedural Terminology code modifiers in 72.9% of cases, and 90.0% of clinicians’ progress notes mentioned PSC-17 score in treatment planning. Using an electronic approach to psychosocial screening in pediatrics facilitated the use of screening information gathered during the clinical visit and allowed for enhanced tracking of outcomes and quality monitoring.