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Predictors of Coordinated and Comprehensive Care Within a Medical Home for Children With Special Healthcare (CHSCN) Needs

Overview of attention for article published in Frontiers in Public Health, June 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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1 blog
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Citations

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1 Dimensions

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21 Mendeley
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Title
Predictors of Coordinated and Comprehensive Care Within a Medical Home for Children With Special Healthcare (CHSCN) Needs
Published in
Frontiers in Public Health, June 2018
DOI 10.3389/fpubh.2018.00170
Pubmed ID
Authors

Ashley Walker, John G. Peden, Morgan Emter, Gavin Colquitt

Abstract

The purpose of this study was to examine predictors of coordinated and comprehensive care within a medical home among children with special health care needs (CSHCN). The latest version of the National Survey of Children with Special Health Care Needs (NS-CSHCN) employed a national random-digit-dial sample whereby US households were screened, resulting in 40,242 eligible respondents. Logistic regression analyses were performed modeling the probability of coordinated, comprehensive care in a medical home based on shared decision-making and other factors. A total of 29,845 cases were selected for inclusion in the model. Of these, 17,390 cases (58.3%) met the criteria for coordinated, comprehensive care in a medical home. Access to a community-based service systems had the greatest positive impact on coordinated, comprehensive care in a medical home. Adequate insurance coverage and being White/Caucasian were also positively associated with the dependent variable. Shared decision-making was reported by 72% of respondents and had a negative, but relatively negligible impact on coordinated, comprehensive care in a medical home. Increasing age, non-traditional family structures, urban residence, and public insurance were more influential, and negatively impacted the dependent variable. Providers and their respective organizations should seek to expand and improve health and support services at the community level.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 19%
Student > Doctoral Student 2 10%
Student > Master 2 10%
Professor > Associate Professor 2 10%
Lecturer 1 5%
Other 4 19%
Unknown 6 29%
Readers by discipline Count As %
Nursing and Health Professions 5 24%
Engineering 4 19%
Medicine and Dentistry 3 14%
Social Sciences 1 5%
Unknown 8 38%
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 08 June 2018.
All research outputs
#4,046,041
of 23,088,369 outputs
Outputs from Frontiers in Public Health
#1,455
of 10,390 outputs
Outputs of similar age
#78,833
of 329,367 outputs
Outputs of similar age from Frontiers in Public Health
#38
of 88 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,390 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 85% 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 329,367 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 75% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.