Analyzing self-injurious behaviors (SIB) in individuals with autism spectrum disorder: Trends, interventions, and treatment outcomes

Abstract

This project explored self-injurious behaviors (SIB) in individuals with Autism Spectrum Disorder (ASD) using the NDI Exploratory dataset comprising progress notes for 110 patients. Data was managed via REDCap, analyzed using Python, and visualized through Power BI. The study examined how SIB trends varied over five weeks and their association with gender and age. Findings revealed a significant reduction in behaviors such as hitting oneself, hitting the body against objects, and cutting. Males exhibited higher SIB frequencies overall, with early adolescence, particularly around ages 12 to 16, showing peak incidences. The consistent improvement in weekly recovery scores indicates that tailored interventions are effective. Recommendations include age- and gender-specific strategies, continuous treatment monitoring, and increased caregiver support to enhance outcomes and reduce long-term SIB risk.