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Embedding Autism Spectrum Disorder Diagnosis Within the Medical Home: Decreasing Wait Times Through Streamlined Assessment

Overview of attention for article published in Journal of Autism and Developmental Disorders, March 2018
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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.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 17%
Student > Master 12 10%
Researcher 11 9%
Student > Doctoral Student 11 9%
Student > Ph. D. Student 9 8%
Other 27 23%
Unknown 28 24%
Readers by discipline Count As %
Psychology 18 15%
Medicine and Dentistry 17 14%
Nursing and Health Professions 15 13%
Social Sciences 11 9%
Unspecified 6 5%
Other 17 14%
Unknown 34 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 July 2018.
All research outputs
#18,716,597
of 23,867,274 outputs
Outputs from Journal of Autism and Developmental Disorders
#4,253
of 5,240 outputs
Outputs of similar age
#244,751
of 333,222 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#90
of 109 outputs
Altmetric has tracked 23,867,274 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,240 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 333,222 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.