Increasing Access to Autism Spectrum Disorder Diagnostic Consultation in Rural and Underserved Communities:...

Area of Science:

• Pediatric Health
• Developmental Pediatrics
• Autism Spectrum Disorder Research

Background:

• Preliminary research shows streamlined diagnostic models in primary care (PC) improve early identification of autism spectrum disorder (ASD).
• This model reduces diagnostic wait times, increases satisfaction, and decreases referrals to tertiary centers.
• The current study evaluates this model in diverse PC clinics serving rural and underserved populations.

Purpose of the Study:

• To assess the impact of a streamlined ASD diagnostic model implemented in primary care clinics.
• To provide data on the model's effectiveness before and after implementation in diverse settings.
• To evaluate changes in diagnostic wait times for young children.

Main Methods:

• A streamlined assessment protocol including record review, interviews, rating scales, and a screening tool was used.
• Eighty children aged 19-47 months were assessed across five diverse primary care clinics.
• Data were collected via chart review to analyze diagnostic timelines.

Main Results:

• Implementation of the streamlined model significantly decreased the average time to diagnosis from 144.7 to 49.9 days.
• PC patients experienced greater reductions in wait times compared to non-PC patients.
• Wait time reductions were observed for both PC and non-PC patients.

Conclusions:

• The streamlined model effectively reduces diagnostic wait times for autism spectrum disorder.
• Efficient identification facilitates earlier access to essential early intervention and support services for families.
• This approach holds promise for improving care in primary care settings, especially for underserved communities.