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Am J Disaster Med ; 10(2): 83-91, 2015.
Article in English | MEDLINE | ID: mdl-26312491

ABSTRACT

OBJECTIVE: Children account for 30 percent of the US population; as a result, many victims of disaster events are children. The most critically injured pediatric victims would be best cared for in a tertiary care pediatric hospital. The Children's Hospital Association (CHA) undertook a survey of its members to determine their level of readiness to respond to a mass casualty disaster. DESIGN: The Disaster Response Task Force constructed survey questions in October 2011. SETTING AND PARTICIPANTS: The survey was distributed via e-mail to the person listed as an "emergency manager/disaster contact" at each association member hospital and was designed to take less than 15 minutes to complete. MAIN OUTCOME MEASURES: The survey sought to determine how children's hospitals address disaster preparedness, how prepared they feel for disaster events, and how CHA could support their efforts in preparedness. RESULTS: One hundred seventy-nine surveys were distributed with a 36 percent return rate. Seventy percent of respondent hospitals have a structure in place to plan for disaster response. There was a stronger level of confidence for hospitals in responding to local casualty events than for those responding to large-scale regional, national, and international events. Few hospitals appear to interact with nonmedical facilities with a high concentration of children such as schools or daycares. CONCLUSIONS: Little commonality exists among children's hospitals in approaches to disaster preparedness and response. Universally, respondents can identify a disaster response plan and routinely participate in drills, but the scale and scope of these plans and drills vary substantially.


Subject(s)
Civil Defense/methods , Disaster Planning/methods , Hospitals, Pediatric/organization & administration , Civil Defense/statistics & numerical data , Data Collection , Disaster Planning/statistics & numerical data , Hospitals, Pediatric/statistics & numerical data , Humans , Leadership , United States
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