Samala, VishwasreeNeal, TiffanyDeodhar, ADevarapalli, Baby AmulyaSwiezy, Naomi2025-04-222025-04-222024-05Samala, V., Neal, T., Deodhar, A., Devarapalli, B. A., & Swiezy, N. (2024). Analyzing client denial trends in the NDI dataset: Patterns and predictive insights. Presented at the Spring 2024 Poster Session, HANDS in Autism® Interdisciplinary Training and Resource Center at Indiana University School of Medicine, Indiana University Indianapolis. †https://hdl.handle.net/1805/47338This project analyzed denial patterns among clients in the HANDS in Autism® NDI Exploratory dataset. Using REDCap and Cerner data, a structured coding scheme was implemented for consistent data entry and scoring. Python was used to quantitatively analyze denial reasons across 2021–2023. The most frequent denial factors included unmet family/parent criteria and issues unrelated to autism. Statistical testing, including Chi-Square and Fisher’s exact tests, revealed no significant relationship between gender and denial reasons. The project also produced a user guide for REDCap data entry and proposed future directions, including expanding the dataset and improving data completeness through enhanced data collection practices.en-USAutismAutism Spectrum Disorder (ASD)Client Denial PatternsDevelopmental DisabilitiesData-Driven Insights in AutismEvidence-Based Decision MakingPresentation