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  • Evidence-Based Evaluation of Hurricane Risk Management in USA and Its Possibility of Application to Medical Risk Management in China

    Objective By reviewing and analyzing the experiences and lessons of American hurricane risk management, this study aims to explore the possible application of constructing the system for medical risk management in China. Methods We searched the EI database (1969 to 2005), OVID database (1966 to 2005), Superstar electronic library and some websites such as Federal Emergency Management Agency (FEMA), National Oceanic and Atmospheric Administration (NOAA), and Centre for Disease Control and Prevention (CDC). The retrieved articles were screened independently by two reviewers according to the inclusion and exclusion criteria. The included articles were classified and the quality was ranked. Results Total of 227 articles and 1 book met the eligibility criteria. The articles related to risk prediction occupy 73.13%. The American hurricane database can be traced back to 1886. Disaster Relief Act was promulgated in 1950, and there were various types of policies for disaster risk management. The FEMA, set up in 1979, played a key role in disaster risk management. The precaution was announced according to the different levels of hurricane risk, and the forecasts were mainly made by NOAA. The American government and some non-governmental organizations were involved in hurricane emergent responses concerning both physical and mental health of the public. In addition, there were many methods to evaluate and predict hurricane risk. The main lessons from hurricane Katrina risk management lay inunderestimation of the risk and political discrimination. Conclusion There are both distinctive advantages and disadvantages in the present status of American hurricane risk management. As the monitoring and precaution system of medical risk management in China are still in an initial stage, we can learn the experience and lessons from American hurricane risk management to construct and run our system of medical risk management better.

    Release date:2016-09-07 02:17 Export PDF Favorites Scan
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