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Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records

Overview of attention for article published in Journal of Autism and Developmental Disorders, February 2015
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49 Mendeley
Title
Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records
Published in
Journal of Autism and Developmental Disorders, February 2015
DOI 10.1007/s10803-015-2358-0
Pubmed ID
Authors

Karen J. Coleman, Marta A. Lutsky, Vincent Yau, Yinge Qian, Magdalena E. Pomichowski, Phillip M. Crawford, Frances L. Lynch, Jeanne M. Madden, Ashli Owen-Smith, John A. Pearson, Kathryn A. Pearson, Donna Rusinak, Virginia P. Quinn, Lisa A. Croen

Abstract

To identify factors associated with valid Autism Spectrum Disorder (ASD) diagnoses from electronic sources in large healthcare systems. We examined 1,272 charts from ASD diagnosed youth <18 years old. Expert reviewers classified diagnoses as confirmed, probable, possible, ruled out, or not enough information. A total of 845 were classified with 81 % as a confirmed, probable, or possible ASD diagnosis. The predictors of valid ASD diagnoses were >2 diagnoses in the medical record (OR 2.94; 95 % CI 2.03-4.25; p < 0.001) and being male (OR 1.51; 95 % CI 1.05-2.17; p = 0.03). In large integrated healthcare settings, at least two diagnoses can be used to identify ASD patients for population-based research.

X Demographics

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The data shown below were collected from the profiles of 3 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 22%
Student > Master 7 14%
Student > Ph. D. Student 4 8%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Other 11 22%
Unknown 8 16%
Readers by discipline Count As %
Psychology 9 18%
Nursing and Health Professions 9 18%
Medicine and Dentistry 8 16%
Social Sciences 6 12%
Arts and Humanities 3 6%
Other 4 8%
Unknown 10 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 February 2015.
All research outputs
#15,703,217
of 25,654,806 outputs
Outputs from Journal of Autism and Developmental Disorders
#3,732
of 5,484 outputs
Outputs of similar age
#193,710
of 362,119 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#52
of 69 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one is in the 31st percentile – i.e., 31% 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 362,119 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.