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Improving Efficiency and Quality of the Children’s ASD Diagnostic Pathway: Lessons Learned from Practice

Overview of attention for article published in Journal of Autism and Developmental Disorders, November 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet
twitter
26 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
130 Mendeley
Title
Improving Efficiency and Quality of the Children’s ASD Diagnostic Pathway: Lessons Learned from Practice
Published in
Journal of Autism and Developmental Disorders, November 2017
DOI 10.1007/s10803-017-3415-7
Pubmed ID
Authors

Marion Rutherford, Morag Burns, Duncan Gray, Lynne Bremner, Sarah Clegg, Lucy Russell, Charlie Smith, Anne O’Hare

Abstract

The 'autism diagnosis crisis' and long waiting times for assessment are as yet unresolved, leading to undue stress and limiting access to effective support. There is therefore a significant need for evidence to support practitioners in the development of efficient services, delivering acceptable waiting times and effectively meeting guideline standards. This study reports statistically significant reductions in waiting times for autism diagnostic assessment following a children's health service improvement programme. The average wait between referral and first appointment reduced from 14.2 to 10.4 weeks (t(21) = 4.3, p < 0.05) and between referral and diagnosis shared, reduced from 270 to 122.5 days, (t(20) = 5.5, p < 0.05). The proportion of girls identified increased from 5.6 to 2.7:1. Methods reported include: local improvement action planning; evidence based pathways; systematic clinical data gathering and a training plan. This is a highly significant finding for many health services wrestling with the challenges of demand and capacity for autism diagnosis and assessment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 130 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 14%
Student > Master 16 12%
Student > Doctoral Student 14 11%
Researcher 12 9%
Student > Ph. D. Student 12 9%
Other 20 15%
Unknown 38 29%
Readers by discipline Count As %
Psychology 35 27%
Social Sciences 13 10%
Medicine and Dentistry 13 10%
Nursing and Health Professions 7 5%
Neuroscience 3 2%
Other 8 6%
Unknown 51 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 18 November 2023.
All research outputs
#1,282,184
of 25,654,806 outputs
Outputs from Journal of Autism and Developmental Disorders
#471
of 5,484 outputs
Outputs of similar age
#28,506
of 447,616 outputs
Outputs of similar age from Journal of Autism and Developmental Disorders
#16
of 119 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has done particularly well, scoring higher than 91% of its peers.
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 447,616 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.