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Spatial variation in hyperthermia emergency department visits among those with employer-based insurance in the United States – a case-crossover analysis
BACKGROUND: Predictions of intense heat waves across the United States will lead to localized health impacts, most of which are preventable. There is a need to better understand the spatial variation in the morbidity impacts associated with extreme heat across the country to prevent such adverse hea...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352547/ https://www.ncbi.nlm.nih.gov/pubmed/25888865 http://dx.doi.org/10.1186/s12940-015-0005-z |
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author | Saha, Shubhayu Brock, John W Vaidyanathan, Ambarish Easterling, David R Luber, George |
author_facet | Saha, Shubhayu Brock, John W Vaidyanathan, Ambarish Easterling, David R Luber, George |
author_sort | Saha, Shubhayu |
collection | PubMed |
description | BACKGROUND: Predictions of intense heat waves across the United States will lead to localized health impacts, most of which are preventable. There is a need to better understand the spatial variation in the morbidity impacts associated with extreme heat across the country to prevent such adverse health outcomes. METHODS: Hyperthermia-related emergency department (ED) visits were obtained from the Truven Health MarketScan® Research dataset for 2000-2010. Three measures of daily ambient heat were constructed using meteorological observations from the National Climatic Data Center (maximum temperature, heat index) and the Spatial Synoptic Classification. Using a time-stratified case crossover approach, odds ratio of hyperthermia-related ED visit were estimated for the three different heat measures. Random effects meta-analysis was used to combine the odds ratios for 94 Metropolitan Statistical Areas (MSA) to examine the spatial variation by eight latitude categories and nine U.S. climate regions. RESULTS: Examination of lags for all three temperature measures showed that the odds ratio of ED visit was statistically significant and highest on the day of the ED visit. For heat waves lasting two or more days, additional statistically significant association was observed when heat index and synoptic classification was used as the temperature measure. These results were insensitive to the inclusion of air pollution measures. On average, the maximum temperature on the day of an ED visit was 93.4(o)F in ‘South’ and 81.9(o)F in the ‘Northwest’ climatic regions of United States. The meta-analysis showed higher odds ratios of hyperthermia ED visit in the central and the northern parts of the country compared to the south and southwest. CONCLUSION: The results showed spatial variation in average temperature on days of ED visit and odds ratio for hyperthermia ED visits associated with extreme heat across United States. This suggests that heat response plans need to be customized for different regions and the potential role of hyperthermia ED visits in syndromic surveillance for extreme heat. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12940-015-0005-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4352547 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43525472015-03-09 Spatial variation in hyperthermia emergency department visits among those with employer-based insurance in the United States – a case-crossover analysis Saha, Shubhayu Brock, John W Vaidyanathan, Ambarish Easterling, David R Luber, George Environ Health Research BACKGROUND: Predictions of intense heat waves across the United States will lead to localized health impacts, most of which are preventable. There is a need to better understand the spatial variation in the morbidity impacts associated with extreme heat across the country to prevent such adverse health outcomes. METHODS: Hyperthermia-related emergency department (ED) visits were obtained from the Truven Health MarketScan® Research dataset for 2000-2010. Three measures of daily ambient heat were constructed using meteorological observations from the National Climatic Data Center (maximum temperature, heat index) and the Spatial Synoptic Classification. Using a time-stratified case crossover approach, odds ratio of hyperthermia-related ED visit were estimated for the three different heat measures. Random effects meta-analysis was used to combine the odds ratios for 94 Metropolitan Statistical Areas (MSA) to examine the spatial variation by eight latitude categories and nine U.S. climate regions. RESULTS: Examination of lags for all three temperature measures showed that the odds ratio of ED visit was statistically significant and highest on the day of the ED visit. For heat waves lasting two or more days, additional statistically significant association was observed when heat index and synoptic classification was used as the temperature measure. These results were insensitive to the inclusion of air pollution measures. On average, the maximum temperature on the day of an ED visit was 93.4(o)F in ‘South’ and 81.9(o)F in the ‘Northwest’ climatic regions of United States. The meta-analysis showed higher odds ratios of hyperthermia ED visit in the central and the northern parts of the country compared to the south and southwest. CONCLUSION: The results showed spatial variation in average temperature on days of ED visit and odds ratio for hyperthermia ED visits associated with extreme heat across United States. This suggests that heat response plans need to be customized for different regions and the potential role of hyperthermia ED visits in syndromic surveillance for extreme heat. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12940-015-0005-z) contains supplementary material, which is available to authorized users. BioMed Central 2015-03-04 /pmc/articles/PMC4352547/ /pubmed/25888865 http://dx.doi.org/10.1186/s12940-015-0005-z Text en © Saha et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Saha, Shubhayu Brock, John W Vaidyanathan, Ambarish Easterling, David R Luber, George Spatial variation in hyperthermia emergency department visits among those with employer-based insurance in the United States – a case-crossover analysis |
title | Spatial variation in hyperthermia emergency department visits among those with employer-based insurance in the United States – a case-crossover analysis |
title_full | Spatial variation in hyperthermia emergency department visits among those with employer-based insurance in the United States – a case-crossover analysis |
title_fullStr | Spatial variation in hyperthermia emergency department visits among those with employer-based insurance in the United States – a case-crossover analysis |
title_full_unstemmed | Spatial variation in hyperthermia emergency department visits among those with employer-based insurance in the United States – a case-crossover analysis |
title_short | Spatial variation in hyperthermia emergency department visits among those with employer-based insurance in the United States – a case-crossover analysis |
title_sort | spatial variation in hyperthermia emergency department visits among those with employer-based insurance in the united states – a case-crossover analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4352547/ https://www.ncbi.nlm.nih.gov/pubmed/25888865 http://dx.doi.org/10.1186/s12940-015-0005-z |
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