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Research on National Disaster Life Support Course in China

  • Lujia Tang (a1), Shuming Pan (a1), Ying Chen (a2), Hongmei Tang (a3) and Xuejing Li (a2)...

Abstract

Objectives:

To provide scientific, theoretical support for the improvement of medical disaster training, we systematically analyzed the National Disaster Life Support (NDLS) Course and established a training curriculum with feedback based on the current status of disaster medicine in China.

Methods:

The gray prediction model is applied to long-term forecast research on course effect. In line with the hypothesis, the NDLS course with feedback capability is more scientific and standardized.

Results:

The current training NDLS course system is suitable for Chinese medical disasters. After accepting the course training, audiences’ capabilities were enhanced. In the constructed GM (1,1) model prediction, the developing coefficients of the pretest and the posttest are 0.04 and 0.057, respectively. In light of the coefficient, the model is appropriate for the long-term prediction. The predicted results can be used as the basis for constructing training closed-loop optimization feedback. It can indicate that the course system has a good effect as well.

Conclusions:

According to the constructed GM model, the NDLS course system is scientific, practical, and operational. The research results can provide reference for relevant departments and be used for the construction of similar training course systems.

Copyright

Corresponding author

Correspondence and reprint requests to Xuejing Li, School of Information Science and Technology, Sanda University, 2727 Jin Hai Road, Pu Dong District, Shanghai, China (E-mail: lxj05030@163.com)

References

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