Objective： By constructing a training system of quality evaluation standards for emergency nurse specialist（ENS）, we can ensure smooth operations and quality training for ENS.Methods： First, the frame structure of...Objective： By constructing a training system of quality evaluation standards for emergency nurse specialist（ENS）, we can ensure smooth operations and quality training for ENS.Methods： First, the frame structure of indicators was designed on the basis of system theory and the balanced scorecard method. Meanwhile, corresponding quantitative standard indicators were compiled through literature analysis and a review of training characteristics. Next, screening indicators were collected through consultation with experts and statistical calculations. The indicators weight coefficient was calculated using the analytic hierarchy process（AHP）. Finally, indicators were validated in two groups of nurses in two different training courses.Results：（1） We created a three-level indicator system： level-Ⅰ dimensions have 4 indicators, while level-Ⅱ dimensions and level-Ⅲ dimensions have 13 and 34 indicators, respectively;（2） The coefficient of expert＇s judgment is 0.840, familiarity is 0.914 and authority is 0.877, and the three rounds of coordination coefficient are 0.456, 0.553 and 0.715, respectively;（3） There are at least 56 indicators in alternative quantitative standards; and（4） The alpha reliability value of the indicator system in the two training course had no significant difference（P 〉 0.05）. The same result was observed when examining two groups of nurses in one training course（P 〉 0.05）.Conclusions： This study established a training system of quality evaluation standards for emergency nurse specialists that is objective, reliable, easy to operate and representative according to scientific selection and verification. This system can therefore provide a basis for quality evaluation and targeted improvement for ENS training in addition to promoting health.展开更多
Because unexpected emergency owns the characteristics of explosive,uncertain evolution direction and group diffusion,more and more researchers concentrate on and try to control it. In addition,considering the force of...Because unexpected emergency owns the characteristics of explosive,uncertain evolution direction and group diffusion,more and more researchers concentrate on and try to control it. In addition,considering the force of network,the information of the unexpected emergency will be spread and enlarged rapidly on internet. It is a new viewpoint using the indicator system to estimate the heat degree of net-mediated public opinion on unexpected emergency,which can reveal the underlying reasons about the formation of the heat degree. Moreover,we use BP(Back Propagation) neural network method instead of traditional subjective weight assignment to calculate the weights of the indicators which can make evaluation results more accurate and objective.展开更多
The journal Genomics Proteomics＆Bioinformatics（GPB）is now inviting submissions for a special issue（to be published in the fall 2015）on the topic of “Biomarkers for Diseases”. As an emerging index,disease biomar...The journal Genomics Proteomics＆Bioinformatics（GPB）is now inviting submissions for a special issue（to be published in the fall 2015）on the topic of “Biomarkers for Diseases”. As an emerging index,disease biomarkers have demonstrated the potential application in diagnosis and prognosis.展开更多
基金supported by the nursing special items of Health and Family Planning Commission Research Fund in Hubei province(No.HL2012-15)
文摘Objective： By constructing a training system of quality evaluation standards for emergency nurse specialist（ENS）, we can ensure smooth operations and quality training for ENS.Methods： First, the frame structure of indicators was designed on the basis of system theory and the balanced scorecard method. Meanwhile, corresponding quantitative standard indicators were compiled through literature analysis and a review of training characteristics. Next, screening indicators were collected through consultation with experts and statistical calculations. The indicators weight coefficient was calculated using the analytic hierarchy process（AHP）. Finally, indicators were validated in two groups of nurses in two different training courses.Results：（1） We created a three-level indicator system： level-Ⅰ dimensions have 4 indicators, while level-Ⅱ dimensions and level-Ⅲ dimensions have 13 and 34 indicators, respectively;（2） The coefficient of expert＇s judgment is 0.840, familiarity is 0.914 and authority is 0.877, and the three rounds of coordination coefficient are 0.456, 0.553 and 0.715, respectively;（3） There are at least 56 indicators in alternative quantitative standards; and（4） The alpha reliability value of the indicator system in the two training course had no significant difference（P 〉 0.05）. The same result was observed when examining two groups of nurses in one training course（P 〉 0.05）.Conclusions： This study established a training system of quality evaluation standards for emergency nurse specialists that is objective, reliable, easy to operate and representative according to scientific selection and verification. This system can therefore provide a basis for quality evaluation and targeted improvement for ENS training in addition to promoting health.
基金supported by the National Natural Science Foundation of China (Grant No. 90924029)
文摘Because unexpected emergency owns the characteristics of explosive,uncertain evolution direction and group diffusion,more and more researchers concentrate on and try to control it. In addition,considering the force of network,the information of the unexpected emergency will be spread and enlarged rapidly on internet. It is a new viewpoint using the indicator system to estimate the heat degree of net-mediated public opinion on unexpected emergency,which can reveal the underlying reasons about the formation of the heat degree. Moreover,we use BP(Back Propagation) neural network method instead of traditional subjective weight assignment to calculate the weights of the indicators which can make evaluation results more accurate and objective.
文摘The journal Genomics Proteomics＆Bioinformatics（GPB）is now inviting submissions for a special issue（to be published in the fall 2015）on the topic of “Biomarkers for Diseases”. As an emerging index,disease biomarkers have demonstrated the potential application in diagnosis and prognosis.
