Schizophrenia and bipolar disorder are characterized by significant impairments in functioning, which impacts quality of life and impedes independent living and employment. Smartphone-based ecological momentary assessment (EMA) offers a highly valid strategy to assess daily functioning, and functional determinants (e.g., cognition, symptoms), among people with severe mental illness (SMI). Self-reports of symptoms and functioning in this population are known to be prone to bias, and questions have been raised regarding whether EMA, a real-time self-report assessment technique, can bypass traditional self-report bias. Dr. Moore will present findings from a large, diverse, multi-site EMA study of introspective accuracy, bias, and everyday functioning in people with SMI. Inter- and intra-individual variability in introspective accuracy, symptoms and mobile cognitive testing performance in each diagnostic construct, as well as design considerations for future work, will be explored.
Presenter: Raeanne C. Moore, PhD, University of California San Diego