Other Titles

Interprofessional Practice Model to Embed the Diagnostic Process for Autism Spectrum Disorder in the Patient-Centered Medical Home: An Evidence-Based Practice Improvement

Abstract

Children with concerning features for autism spectrum disorder (ASD) benefit from early intervention services when diagnosis is procured at a younger age and in a shorter timeframe from first concern. A pilot project evaluated the benefit of an interprofessional practice model within a patient-centered medical home to diagnose ASD, rather than traditional practice whereby families are referred to a regional healthcare center. Utilizing the Autism Diagnostic Interview-Revised (ADI-R), nine children were evaluated over a four-month period. Outcome measures included age at diagnosis, time from first concern to diagnosis, time from referral to diagnosis, billing code generated, and interview time. Data from the formal ADI-R interview tool compared to data from the previous unstructured interview.

Author Details

Amy E. Stofer, DNP, APRN-CNP

Sigma Membership

Non-member

Type

DNP Capstone Project

Format Type

Text-based Document

Study Design/Type

Descriptive/Correlational

Research Approach

Translational Research/Evidence-based Practice

Keywords:

Autism Spectrum Disorder, Patient-Centered Medical Home, Evidence-Based Practice, Autism Diagnostic Interview-Revised

Advisor

Carol Reece

Degree

DNP

Degree Grantor

Ashland University

Degree Year

2019

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.

All permission requests should be directed accordingly and not to the Sigma Repository.

All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.

Review Type

None: Degree-based Submission

Acquisition

Self-submission

Date of Issue

2021-08-24

Full Text of Presentation

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Additional Files

Slides.pdf (798 kB)

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