Abstract

BackgroundAngelman syndrome (AS) is a rare, neurological genetic disorder for which no clinical outcomes assessments (COAs) or conceptual models (CM) have been developed.ObjectiveThis study aimed to identify symptoms and impacts relevant and important in this patient population and develop a conceptual model of AS, and to evaluate the content validity of selected COA instruments with potential for inclusion in clinical studies of AS to capture treatment benefit.MethodsFor both concept elicitation (CE) and cognitive interviews (CI), caregivers of children, adolescents, and adults with AS and clinicians with AS experience were targeted. For CI, clinicians discussed the Modified Performance-Oriented Mobility Assessment (MPOMA-G) and ProtoKinetics Zeno Walkway™ and caregivers reviewed the Pediatric Evaluation of Disability Inventory Computer Adaptive Test (PEDI-CAT), the Anxiety, Depression and Mood Scale (ADAMS), the Aberrant Behavior Checklist–Community (ABC-C), and the Morning Diary.ResultsFour clinicians and 34 caregivers participated in CE interviews; three clinicians and 36 caregivers participated in CI. A conceptual model, initially informed by literature, was refined based on interview data. Five domains of symptoms, signs, and characteristics of AS were identified: cognitive and executive functioning, social-emotional, emotional-expressive behavior, sensory-compulsive behavior, and physical. Patient impacts were identified in three domains: activities of daily living, school, and social/community. Caregiver impacts were identified in five domains: mental health, physical health, work, home, and social. While all instruments demonstrated the ability to provide relevant data for the AS population, each instrument either contained some items irrelevant to individuals with AS or was missing important concepts based on the interviews. No single instrument covered all relevant domains specific to AS.ConclusionFuture work should consider the adaptation of existing COAs and the development of a novel AS-specific instrument for use in clinical research to ensure outcomes important to this patient population are captured.Electronic supplementary materialThe online version of this article (10.1007/s40271-018-0323-7) contains supplementary material, which is available to authorized users.

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