0506 Psychometric Evaluation of the Structured Clinical Interview for Sleep Disorders-Revised (SCISD-R): A Reliability Study

Abstract Introduction Structured clinical interviews are the optimal means for assessing certain sleep diagnoses, yet no such interview existed. To address this gap, the Structured Clinical Interview for Sleep Disorders (SCISD) was developed to evaluate DSM-5 sleep disorders. The SCISD-Revised (SCISD-R) was updated to align with DSM-5-TR criteria but has not yet undergone psychometric evaluation. This study, funded by the AASM Junior Investigator’s Award, focuses on assessing the inter-rater reliability of the SCISD-R to confirm its utility in both clinical and research contexts. Methods Data for this study were obtained from a randomized clinical trial evaluating different modalities of Cognitive Behavioral Therapy for Insomnia in adults aged 50–65 years. The sample is primarily White (88%), female (83%), and non-Hispanic (88%), with an average age of 57.99 years (SD = 4.92). A random sample of 100 SCISD-R interviews, conducted by trained clinicians, was selected for double-rating. Each interview consists of a general information section and modular assessments aligned with DSM-5-TR criteria. The double-rating process is ongoing, and inter-rater reliability will be assessed using the percent agreement and Cohen’s Kappa. Results The SCISD-R is predicted to have high inter-rater reliability across modules with sufficient prevalence, similar to the SCISD for DSM-5. Preliminary data (n = 47) show strong consistency in clinician ratings for insomnia (97%), circadian disorders (82%), and obstructive sleep apnea (77%). Data analysis will be completed by January 2025. Conclusion The SCISD-R is expected to demonstrate robust inter-rater reliability, supporting its future use as a reliable diagnostic tool for DSM-5-TR sleep disorders. These findings will provide a critical foundation for upcoming research and enhance assessment in clinical settings, paving the way for broader validation studies and adaptations for diverse populations. Support (if any) This study was supported by the American Academy of Sleep Medicine Focused Projects for Junior Investigators Award (PI: Campbell).