Using Geospatial Analysis to Determine Access Gaps Among Children with Special Healthcare Needs

Purpose: To examine geospatial gaps in identification and evaluation of children with special healthcare needs (CSHCN) within public child development centers (CDCs). Methods: A descriptive geospatial design was used to visually depict service gaps, proximity, and clustering of area-level sociodemog...

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Autores principales: DeGuzman, Pamela, Altrui, Paige, Doede, Aubrey L., Allen, Marcus, Deagle, Cornelia, Keim-Malpass, Jessica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc. 2018
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071900/
https://www.ncbi.nlm.nih.gov/pubmed/30283844
http://dx.doi.org/10.1089/heq.2017.0050
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author DeGuzman, Pamela
Altrui, Paige
Doede, Aubrey L.
Allen, Marcus
Deagle, Cornelia
Keim-Malpass, Jessica
author_facet DeGuzman, Pamela
Altrui, Paige
Doede, Aubrey L.
Allen, Marcus
Deagle, Cornelia
Keim-Malpass, Jessica
author_sort DeGuzman, Pamela
collection PubMed
description Purpose: To examine geospatial gaps in identification and evaluation of children with special healthcare needs (CSHCN) within public child development centers (CDCs). Methods: A descriptive geospatial design was used to visually depict service gaps, proximity, and clustering of area-level sociodemographic attributes of Virginia counties, and patient-level data within each CDC. Results: Geospatial analysis shows population density of uninsured children against CDC resources. Data visualization facilitates policy advocacy based on the identification of care and screening gaps for CSHCN. Conclusion: This project illustrates the collaborative potential between researchers and Health Department members to identify gaps in access to care.
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spelling pubmed-60719002018-10-03 Using Geospatial Analysis to Determine Access Gaps Among Children with Special Healthcare Needs DeGuzman, Pamela Altrui, Paige Doede, Aubrey L. Allen, Marcus Deagle, Cornelia Keim-Malpass, Jessica Health Equity Short Report Purpose: To examine geospatial gaps in identification and evaluation of children with special healthcare needs (CSHCN) within public child development centers (CDCs). Methods: A descriptive geospatial design was used to visually depict service gaps, proximity, and clustering of area-level sociodemographic attributes of Virginia counties, and patient-level data within each CDC. Results: Geospatial analysis shows population density of uninsured children against CDC resources. Data visualization facilitates policy advocacy based on the identification of care and screening gaps for CSHCN. Conclusion: This project illustrates the collaborative potential between researchers and Health Department members to identify gaps in access to care. Mary Ann Liebert, Inc. 2018-03-01 /pmc/articles/PMC6071900/ /pubmed/30283844 http://dx.doi.org/10.1089/heq.2017.0050 Text en © Pamela DeGuzman et al. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Short Report
DeGuzman, Pamela
Altrui, Paige
Doede, Aubrey L.
Allen, Marcus
Deagle, Cornelia
Keim-Malpass, Jessica
Using Geospatial Analysis to Determine Access Gaps Among Children with Special Healthcare Needs
title Using Geospatial Analysis to Determine Access Gaps Among Children with Special Healthcare Needs
title_full Using Geospatial Analysis to Determine Access Gaps Among Children with Special Healthcare Needs
title_fullStr Using Geospatial Analysis to Determine Access Gaps Among Children with Special Healthcare Needs
title_full_unstemmed Using Geospatial Analysis to Determine Access Gaps Among Children with Special Healthcare Needs
title_short Using Geospatial Analysis to Determine Access Gaps Among Children with Special Healthcare Needs
title_sort using geospatial analysis to determine access gaps among children with special healthcare needs
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071900/
https://www.ncbi.nlm.nih.gov/pubmed/30283844
http://dx.doi.org/10.1089/heq.2017.0050
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