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Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection
Published on: May 31, 2024
Mixed Methods Analysis of Caregiver Satisfaction With the Early Autism Evaluation Hub System
Ann Marie Martin1, Jordan Huskins1, Angela Paxton1
1Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA.
Abstract:
Community-based methods for autism evaluation may be one solution for ameliorating delays in diagnosis, which are exacerbated for children from minoritized backgrounds. However, limited research has examined caregiver satisfaction with community-based models of autism evaluation. Thus, our objective was to use a mixed-methods approach to investigate caregiver satisfaction with their child's autism evaluation conducted across a statewide system of primary care autism diagnosis. Results indicated overall high satisfaction and no significant differences were found between satisfaction total scores nor caregiver stress and any child/family demographic variables. Satisfaction and stress were also not related to autism diagnostic outcome, clinician diagnostic certainty, or diagnostic accuracy. Qualitative suggestions for evaluation improvement include more thorough explanation of diagnosis and service recommendations. Overall, our findings indicate high caregiver satisfaction with multiple dimensions of community-based autism evaluation in the primary care setting, suggesting this may be a feasible and sustainable model that caregivers find acceptable.
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