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Aligning Partners in Pediatric Health: Using Geographical Information Systems to Plan Community Coalitions
Introduction: Compared with adults, children have higher emergency department (ED) utilization for asthma exacerbation. While community coalitions have been shown to prevent ED visits for asthma, there is little guidance on where to best implement these efforts. Geographical information systems (GIS...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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SAGE Publications
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357009/ https://www.ncbi.nlm.nih.gov/pubmed/32646267 http://dx.doi.org/10.1177/2150132720940513 |
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author | Nguyen, Margaret B. |
author_facet | Nguyen, Margaret B. |
author_sort | Nguyen, Margaret B. |
collection | PubMed |
description | Introduction: Compared with adults, children have higher emergency department (ED) utilization for asthma exacerbation. While community coalitions have been shown to prevent ED visits for asthma, there is little guidance on where to best implement these efforts. Geographical information systems (GIS) technology can help in the selection and coordination of potential coalition partners. This report proposes a model to be used by clinicians and child health equity advocates to strategize high-impact community health interventions. The aims were to identify the clusters of ED utilization for pediatric asthma, evaluate sociodemographic features of the population within the clusters, and identify potential primary care and school community partners. Methods: This model uses ED visit data from 450 nonmilitary California hospitals in 2012. We obtained ZIP code–level counts and rates for patients younger than 18 years discharged with a diagnosis code of 493 for asthma conditions from the California Office of Statewide Health Planning and Development’s Open Portal. We applied GIS spatial analysis techniques to identify statistically significant cluster for pediatric asthma ED utilization. We then locate the candidate community partners within these clusters. Results: There were 181 720 ED visits for asthma for all age groups in 2012 with 70 127 visits for children younger than 18 years. The top 3 geographic clusters for ED utilization rates were located in Fresno, Inglewood, and Richmond City, respectively. Spatial analysis maps illustrate the schools located within 0.5– and 1-mile radii of primary care clinics and provide a visual and statistical description of the population within the clusters. Conclusion: This study demonstrates a model to help clinicians understand how GIS can aid in the selection and creation of coalition building. This is a potentially powerful tool in the addressing child health disparities. |
format | Online Article Text |
id | pubmed-7357009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-73570092020-07-21 Aligning Partners in Pediatric Health: Using Geographical Information Systems to Plan Community Coalitions Nguyen, Margaret B. J Prim Care Community Health Original Research Introduction: Compared with adults, children have higher emergency department (ED) utilization for asthma exacerbation. While community coalitions have been shown to prevent ED visits for asthma, there is little guidance on where to best implement these efforts. Geographical information systems (GIS) technology can help in the selection and coordination of potential coalition partners. This report proposes a model to be used by clinicians and child health equity advocates to strategize high-impact community health interventions. The aims were to identify the clusters of ED utilization for pediatric asthma, evaluate sociodemographic features of the population within the clusters, and identify potential primary care and school community partners. Methods: This model uses ED visit data from 450 nonmilitary California hospitals in 2012. We obtained ZIP code–level counts and rates for patients younger than 18 years discharged with a diagnosis code of 493 for asthma conditions from the California Office of Statewide Health Planning and Development’s Open Portal. We applied GIS spatial analysis techniques to identify statistically significant cluster for pediatric asthma ED utilization. We then locate the candidate community partners within these clusters. Results: There were 181 720 ED visits for asthma for all age groups in 2012 with 70 127 visits for children younger than 18 years. The top 3 geographic clusters for ED utilization rates were located in Fresno, Inglewood, and Richmond City, respectively. Spatial analysis maps illustrate the schools located within 0.5– and 1-mile radii of primary care clinics and provide a visual and statistical description of the population within the clusters. Conclusion: This study demonstrates a model to help clinicians understand how GIS can aid in the selection and creation of coalition building. This is a potentially powerful tool in the addressing child health disparities. SAGE Publications 2020-07-10 /pmc/articles/PMC7357009/ /pubmed/32646267 http://dx.doi.org/10.1177/2150132720940513 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Nguyen, Margaret B. Aligning Partners in Pediatric Health: Using Geographical Information Systems to Plan Community Coalitions |
title | Aligning Partners in Pediatric Health: Using Geographical Information Systems to Plan Community Coalitions |
title_full | Aligning Partners in Pediatric Health: Using Geographical Information Systems to Plan Community Coalitions |
title_fullStr | Aligning Partners in Pediatric Health: Using Geographical Information Systems to Plan Community Coalitions |
title_full_unstemmed | Aligning Partners in Pediatric Health: Using Geographical Information Systems to Plan Community Coalitions |
title_short | Aligning Partners in Pediatric Health: Using Geographical Information Systems to Plan Community Coalitions |
title_sort | aligning partners in pediatric health: using geographical information systems to plan community coalitions |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357009/ https://www.ncbi.nlm.nih.gov/pubmed/32646267 http://dx.doi.org/10.1177/2150132720940513 |
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