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A mixed methods study of individual and organizational factors that affect implementation of interventions for children with autism in public schools

Overview of attention for article published in Implementation Science, October 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Average Attention Score compared to outputs of the same age and source

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14 X users

Citations

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47 Dimensions

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145 Mendeley
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Title
A mixed methods study of individual and organizational factors that affect implementation of interventions for children with autism in public schools
Published in
Implementation Science, October 2016
DOI 10.1186/s13012-016-0501-8
Pubmed ID
Authors

Jill Locke, Rinad S. Beidas, Steven Marcus, Aubyn Stahmer, Gregory A. Aarons, Aaron R. Lyon, Carolyn Cannuscio, Frances Barg, Shannon Dorsey, David S. Mandell

Abstract

The significant lifelong impairments associated with autism spectrum disorder (ASD), combined with the growing number of children diagnosed with ASD, have created urgency in improving school-based quality of care. Although many interventions have shown efficacy in university-based research, few have been effectively implemented and sustained in schools, the primary setting in which children with ASD receive services. Individual- and organizational-level factors have been shown to predict the implementation of evidence-based interventions (EBIs) for the prevention and treatment of other mental disorders in schools, and may be potential targets for implementation strategies in the successful use of autism EBIs in schools. The purpose of this study is to examine the individual- and organizational-level factors associated with the implementation of EBIs for children with ASD in public schools. We will apply the Domitrovich and colleagues (2008) framework that examines the influence of contextual factors (i.e., individual- and organizational-level factors) on intervention implementation in schools. We utilize mixed methods to quantitatively test whether the factors identified in the Domitrovich and colleagues (2008) framework are associated with the implementation of autism EBIs, and use qualitative methods to provide a more comprehensive understanding of the factors associated with successful implementation and sustainment of these interventions with the goal of tailoring implementation strategies. The results of this study will provide an in-depth understanding of individual- and organizational-level factors that influence the successful implementation of EBIs for children with ASD in public schools. These data will inform potential implementation targets and tailoring of strategies that will help schools overcome barriers to implementation and ultimately improve the services and outcomes for children with ASD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Malaysia 1 <1%
United States 1 <1%
Unknown 142 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 12%
Student > Doctoral Student 18 12%
Student > Ph. D. Student 14 10%
Student > Bachelor 11 8%
Student > Postgraduate 10 7%
Other 34 23%
Unknown 40 28%
Readers by discipline Count As %
Psychology 36 25%
Social Sciences 26 18%
Nursing and Health Professions 11 8%
Medicine and Dentistry 9 6%
Business, Management and Accounting 2 1%
Other 11 8%
Unknown 50 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 January 2020.
All research outputs
#4,177,966
of 22,893,031 outputs
Outputs from Implementation Science
#843
of 1,722 outputs
Outputs of similar age
#69,901
of 320,091 outputs
Outputs of similar age from Implementation Science
#15
of 28 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,722 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has gotten more attention than average, scoring higher than 50% 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 320,091 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.