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Injuries and Illnesses Among American Red Cross Responders—United States, 2008–2012

Published online by Cambridge University Press:  29 October 2014

Kimberly Brinker ,
Catherine A. Head ,
Candice Y. Johnson  and
Renée H. Funk
Kimberly Brinker*
Affiliation:
Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Atlanta, Georgia
Catherine A. Head
Affiliation:
American Red Cross, Washington, DC.
Candice Y. Johnson
Affiliation:
Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Atlanta, Georgia
Renée H. Funk
Affiliation:
Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Atlanta, Georgia
*
Correspondence and reprint requests to Kimberly A. Brinker, MSN, MPH, Centers for Disease Control and Prevention, Office of the Director, National Institute for Occupational Safety and Health, Emergency Preparedness and Response Office, 1600 Clifton Rd NE, Mailstop E-20, Atlanta, GA 30333 (e-mail: [email protected]).
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Abstract

Objective

Occupational injury and illness rates for volunteer responders have not been well documented. We analyzed data specific to volunteers from the American Red Cross (ARC).

Methods

Data collected by the ARC between 2008 and 2012 were analyzed to identify disaster factors associated with responder injuries and illnesses. We focused on disaster-relief operation (DRO) level (indicating operational costs, ranging from 3 [lower] to 5+ [higher]); disaster type; region; and year. We calculated injury and illness rates and estimated rate ratios (RR) with 95% CI, using negative binomial regression. Also, we analyzed a total of 113 disasters.

Results

Hurricanes had the highest rates of injuries (14/1000 responders) and illnesses (18/1000 responders). In the adjusted model for injuries, RRs were higher for DRO levels 4 (3.6 [CI, 2.0–6.7]) and 5+ (4.9 [CI, 2.2–11.0]) than for level 3. In the adjusted model for illnesses, RRs also were higher for DRO levels 4 (4.4 [CI, 2.6–7.3]) and 5+ (8.6 [CI, 4.1–17.7]) than for level 3.

Conclusions

Higher DRO levels were a significant predictor of greater rates of occupational injuries and illnesses. Careful selection of responders, including volunteers, has been warranted for deployments to such disasters. (Disaster Med Public Health Preparedness. 2014;0:1-7)

Keywords

respondersvolunteersoccupational healthinjuriesillnesses
Type
Original Research
Information
Disaster Medicine and Public Health Preparedness , Volume 8 , Issue 5 , October 2014 , pp. 404 - 410
Copyright
Copyright © Society for Disaster Medicine and Public Health, Inc. 2014 

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References

1. Head, CA. Development of the American Red Cross deployment process. Presented at: Centers for Disease Control and Prevention Tuesday Morning Seminar; August 27, 2013; Atlanta, Georgia.Google Scholar
2. What is national VOAD? National Voluntary Organizations Active in Disaster website. 2014; http://www.nvoad.org. Accessed February 27, 2014.Google Scholar
3. Disaster relief. American Red Cross website. 2013; http://www.redcross.org/what-we-do/disaster-relief. Accessed November 18, 2013.Google Scholar
4. American Red Cross. Disaster Services Human Resources (DSHR) System Handbook. Washington, DC: American Red Cross; April 2007:17.Google Scholar
5. Occupational injuries and illnesses news release. Washington, DC: Bureau of Labor Statistics. http://www.bls.gov/news.release/pdf/osh.pdf. Accessed August 21, 2013.Google Scholar
6. Reichard, AA, Jackson, LL. Occupational injuries among emergency responders. Am J Indust Med. 2010;53(1):1-11.CrossRefGoogle ScholarPubMed
7. Leigh, JP. Economic burden of occupational injury and illness in the US. Milbank Q. 2011;89(4):728-772.CrossRefGoogle Scholar
8. State of the sector: healthcare and social assistance—identification of research opportunities for the next decade of NORA. Washington, DC: US Department of Health and Human Services; August 2009. DHHS (NIOSH) publication No.2009-138.Google Scholar
9. Jones, J. Mother nature’s disasters and their health effects: a literature review. Nurs Forum. 2006;41(2):78-87.Google Scholar
10. National Institute for Occupational Safety and Health. Worker health chartbook 2004. Centers for Disease Control and Prevention website; 2014. http://www.cdc.gov/niosh/docs/2004-146/. Accessed January 24, 2014.Google Scholar
11. Ruser, J. Examining evidence on whether BLS undercounts workplace injuries and illnesses. Monthly Labor Rev; August 2008;2-38.Google Scholar
12. US National Response Team. National Response Team website. http://www.nrt.org/Production/NRT/NRTWeb.nsf/AllPagesByTitle/P-AboutNRT?Opendocument. Accessed. August 21, 2014.Google Scholar
13. National Institute for Occupational Safety and Health. Emergency responder health monitoring and surveillance (ERHMS). Centers for Disease Control and Prevention website; 2013. http://www.cdc.gov/niosh/topics/erhms/. Accessed November 18, 2013.Google Scholar