Title |
Embedding Autism Spectrum Disorder Diagnosis Within the Medical Home: Decreasing Wait Times Through Streamlined Assessment
|
---|---|
Published in |
Journal of Autism and Developmental Disorders, March 2018
|
DOI | 10.1007/s10803-018-3548-3 |
Pubmed ID | |
Authors |
Jeffrey F. Hine, Catherine G. Herrington, Alice M. Rothman, Rachel L. Mace, Barron L. Patterson, Kathryn L. Carlson, Zachary E. Warren |
Abstract |
Long waits for diagnostic assessment prevent early identification of children suspected of having autism spectrum disorder. We evaluated the benefit of embedded diagnostic consultation within primary care clinics. Using a streamlined diagnostic model, 119 children with concerns for autism spectrum disorder were seen over 14 months. Diagnostic clarity was determined through streamlined assessment for 59% of the children, while others required follow-up. Latency from first concern to diagnosis was 55 days and median age at diagnosis was 32 months: considerably lower than national averages or comparable tertiary clinics. Findings support that embedded processes for effective triage and diagnosis within the medical home is a viable mechanism for efficient access to diagnostic services and assists in bypassing a common barrier to specialized services. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 112 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 20 | 18% |
Student > Master | 12 | 11% |
Researcher | 11 | 10% |
Student > Doctoral Student | 11 | 10% |
Student > Ph. D. Student | 9 | 8% |
Other | 21 | 19% |
Unknown | 28 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 18 | 16% |
Medicine and Dentistry | 17 | 15% |
Nursing and Health Professions | 15 | 13% |
Social Sciences | 11 | 10% |
Arts and Humanities | 4 | 4% |
Other | 13 | 12% |
Unknown | 34 | 30% |