Browsing by Subject "Aberrant Behavior Checklist (ABC)"

Now showing 1 - 2 of 2
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    Stabilizing Behavioral Changes and Preventing Readmission in Individuals with Autism Spectrum Disorder Through Transitional Support Strategies
    (2022-08) Achanti, Sai Yashashwini; Neal, Tiffany; Deodhar, Aditi; Swiezy, Naomi
    Youth with Autism Spectrum Disorder (ASD) often experience behavioral challenges requiring coordinated and sustained inpatient support. This practicum, conducted at the Neurodiagnostic Institute (NDI) in partnership with HANDS in Autism®, focused on evaluating stabilization outcomes and the effectiveness of post-discharge planning in preventing readmissions. Electronic health record data were extracted from Cerner and categorized using the Aberrant Behavior Checklist (ABC) and Clinical Global Impression (CGI) scales. The data were further aligned with moderator variables to examine behavioral outcomes across inpatient care and post-discharge periods. Tools including R, REDCap, and Excel were used to manage, code, and visualize the data. Findings revealed patterns in behavior change trajectories that may inform individualized care planning and system-wide improvements. This analysis supports the use of evidence-based behavioral classifications and quantitative tracking to enhance continuity of care, reduce readmissions, and improve long-term outcomes for individuals with ASD in psychiatric inpatient settings.
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    Stabilizing Behavioral Improvements and Preventing Readmission Cycles in Youth with Autism Spectrum Disorder: Advancing Healthcare Outcomes in Inpatient Settings
    (2022-08) Bomma, Vijayani; Neal, Tiffany; Swiezy, Naomi
    Youth with Autism Spectrum Disorder (ASD) often require structured inpatient services to stabilize complex behavioral and psychiatric needs. This practicum at HANDS in Autism®, in collaboration with the Indiana NeuroDiagnostic Institute (NDI), focused on supporting post-discharge stability and reducing readmissions through data-driven implementation of evidence-based practices (EBPs). Patient-level data were extracted from the Cerner electronic medical record system, aligned with the Aberrant Behavior Checklist (ABC) and Clinical Global Impression (CGI) scales, and harmonized for analysis. Using REDCap, R Studio, and Excel, data were categorized and visualized to identify trends and support individualized planning. Findings support the utility of standardized behavioral assessment tools and structured data workflows to guide long-term support planning and enhance clinical decision-making. This project contributes to the development of scalable, collaborative models for improving healthcare outcomes and continuity of care for youth with ASD in psychiatric settings.