Date of Award
3-20-2026
Embargo Period
3-26-2026
Document Type
Dissertation
Degree Name
Doctor of Health Administration
Department
Health Administration
College
College of Health Professions
First Advisor
Caitlin Koob
Second Advisor
Daniel L. Brinton
Third Advisor
Timothy Putnam
Abstract
Nationwide, one in 31 children are diagnosed with Autism Spectrum Disorder (ASD), a neurodevelopmental condition associated with substantial healthcare utilization, family burden, and rising system-level costs. Evidence-based interventions such as Applied Behavior Analysis (ABA) have demonstrated improved developmental and behavioral outcomes; however, their relationship to hospitalizations outcomes remain underexamined nationwide. This study employs a retrospective secondary analysis of the 2023 Merative MarketScan Commercial database to examine hospitalization patterns among privately insured children and youth aged 0–21 years diagnosed with ASD. The study aims to 1) describe ASD-related hospitalizations and length of stay, 2) evaluate whether ABA therapy exposure is associated with hospitalizations, and 3) assess geographic differences in hospitalization outcomes. Descriptive statistics were used to examine the sample population, and multivariable regression models were used to examine associations between ABA therapy exposure and hospitalization outcomes while adjusting for demographic characteristics and comorbidities identified using the Pediatric Complex Chronic Conditions algorithm. This research addresses critical gaps in understanding how evidence-based interventions and system-level factors are associated with hospital utilization among children and youth with ASD. Findings are expected to inform health policy, payer strategies, and care coordination models aimed at reducing avoidable hospitalizations, improving equity in access to autism care, and advancing value-based approaches for ASD service delivery.
Recommended Citation
Le, Tuan, "Examining Hospital Admissions Among Patients (0-21 years) with Autism Spectrum Disorder: A Quantitative Analysis" (2026). MUSC Theses and Dissertations. 1097.
https://medica-musc.researchcommons.org/theses/1097
Rights
Copyright is held by the author. All rights reserved.