Heat Illness: Predictors of Hospital Admissions Among Emergency Department Visits—Georgia, 2002–2008
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Heat-related illnesses (HRI) are the most frequent cause of environmental exposure-related injury treated in US emergency departments (ED). While most individuals with HRI evaluated in EDs are discharged to home, understanding predictors of individuals hospitalized with HRI may help public health practitioners and medical providers identify high risk groups who would benefit from educational outreach. We analyzed data collected by the Georgia Department of Public Health, Office of Health Indicators for Planning, regarding ED and hospital discharges for HRI, as identified by ICD-9 codes, between 2002 and 2008 to determine characteristics of individuals receiving care in EDs. Temperature data from CDC’s Environmental Public Health Tracking Network were linked to the dataset to determine if ED visits occurred during an extreme heat event (EHE). A multivariable logistic regression model was developed to determine characteristics predicting hospitalization versus ED discharge using demographic characteristics, comorbid conditions, socioeconomic status, the public health district of residence, and the presence of an EHE. Men represented the majority of ED visits (75 %) and hospitalizations (78 %). In the multivariable model, the odds of admission versus ED discharge with an associated HRI increased with age among both men and women, and odds were higher among residents of specific public health districts, particularly in the southern part of the state. Educational efforts targeting the specific risk groups identified by this study may help reduce the burden of hospitalization due to HRI in the state of Georgia.
KeywordsHeat illness Emergency department Hospitalization Predictors
Funded by National Center for Environmental Health, Centers for Disease Control and Prevention.
Conflict of interest
- 6.CDC. (2011). ICD 9 CM International Classification of Diseases, Ninth Revision, Clinical Modification. 6th ed.Google Scholar
- 7.Georgia Department of Public Health. (2013). Demographic Clusters of Georgia (cited 2013 February 12). Available from: http://health.state.ga.us/demographicprofiles/index.htm.
- 8.CDC. (2013). National Environmental Public Health Tracking Network (cited 2013 June 4). Available from: http://ephtracking.cdc.gov/showHome.action.
- 11.Georgia Department of Public Health. (2013). Georgia Public Health Districts (cited 2013 February 13). Available from: http://health.state.ga.us/regional/index.asp.
- 12.Georgia Department of Public Health. (2013). OASIS Emergency Room Visit Web Query Tool (cited 2013 March 26). Available from: http://oasis.state.ga.us/oasis/oasis/qryER.aspx.
- 14.Jones, T. S., Liang, A. P., Kilbourne, E. M., Griffin, M. R., Patriarca, P. A., Wassilak, S. G., et al. (1982). Morbidity and mortality associated with the July 1980 heat wave in St Louis and Kansas City, Mo. JAMA: The Journal of the American Medical Association, 247(24), 3327–3331. Epub 1982/06/25.CrossRefGoogle Scholar
- 15.Merrill CT, Miller M, Steiner C. (2013). Hospital stays resulting from excessive heat and cold exposure due to weather conditions in US Community Hospitals, 2005 Rockville, MD July 2008 (cited 2013 February 3). Available from: http://www.hcup-us.ahrq.gov/reports/statbriefs/sb55.pdf.
- 16.CDC. (2012). Heat stress (cited 2012 November). Available from: http://www.cdc.gov/niosh/topics/heatstress/#_Heat_Stroke.
- 17.CDC. (2012) Tips for preventing heat-related illness (cited 2012 November 29). Available from: http://emergency.cdc.gov/disasters/extremeheat/heattips.asp.