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小学生意外伤害培训模式的实践与效果评价 被引量:3
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作者 周明珍 杨剑 +1 位作者 李少星 王欢 《中国急救复苏与灾害医学杂志》 2019年第3期245-248,共4页
目的本文分析了从2014-2017年某三甲医院联合武汉多家小学进行的小学生意外伤害培训,旨在提高对小学生意外伤害的教学效果与小学生的现场救护能力。方法自行设计调査问题,以方便抽样法选取武汉3所小学在校小学生282名为研究对象,在培训... 目的本文分析了从2014-2017年某三甲医院联合武汉多家小学进行的小学生意外伤害培训,旨在提高对小学生意外伤害的教学效果与小学生的现场救护能力。方法自行设计调査问题,以方便抽样法选取武汉3所小学在校小学生282名为研究对象,在培训前后分别进行意外伤害相关知识知晓情况的调查,以评价培训效果。结果培训后小学生意外伤害的相关知识如:拨打“120”必须汇报的内容、如何评估环境是否安全、常见创伤的加压止血方式、怀疑脊柱损伤的搬运方式、中暑的简单处理、动物咬伤如何清理伤口、烧烫伤的简单处理方式的知晓率分别为78.01%(220/282)、65.60%(185/282)、5&87%(166/282),95.04%(268/282),62.41%(176/282)、84.40%(238/282)、79.08%(223/282),高于培训前的45.39%(128/282)、31.56%(89/282)、27.30%(77/282)、24.47%(69/282)、16.31%(46/282)、43.26%(122/282)、27.66%(78/282),两组比较差异有统计学意义X^2=7-481~17.003.均P<0.05)]。结论培训设计的整个过程针对组建联动式培训团队、课程内容设计、演练时的师生互动方式、优化培训资源等问题多角度的分析与反思,可在今后的培训教学中加以推广。 展开更多
关键词 小学 意外伤害 培训 健康教育
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Regional differences of urbanization in China and its driving factors 被引量:6
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作者 liN Wen Qi WU Meng He +6 位作者 ZHANG Yue ZENG Rong Jun ZHENG Xiao Jin shao Lei ZHAO Lu Yun li shao xing TANG Yan 《Science China Earth Sciences》 SCIE EI CAS CSCD 2018年第6期778-791,共14页
After more than 30 years of rapid urbanization, the overall urbanization rate of China reached 56.1% in 2015.However, despite China's rapid increase in its overall rate of urbanization, clear regional differences ... After more than 30 years of rapid urbanization, the overall urbanization rate of China reached 56.1% in 2015.However, despite China's rapid increase in its overall rate of urbanization, clear regional differences can be observed. Furthermore, inadequate research has been devoted to in-depth exploration of the regional differences in China's urbanization from a national perspective, as well as the internal factors that drive these differences. Using prefecture-level administrative units in China as the main research subject, this study illustrates the regional differences in urbanization by categorizing the divisions into four types based on their urbanization ratio and speed(high level: low speed; high level: high speed; low level: high speed; and low level: low speed). Next, we selected seven economic and geographic indicators and applied an ordered logit model to explore the driving factors of the regional differences in urbanization. A multiple linear regression model was then adopted to analyze the different impacts of these driving factors on regions with different urbanization types. The results showed that the regional differences in urbanization were significantly correlated to per capita GDP, industry location quotients, urban-rural income ratio,and time distance to major centers. In addition, with each type of urbanization, these factors were found to have a different driving effect. Specifically, the driving effect of per capita GDP and industry location quotients presented a marginally decreasing trend, while main road density appeared to have a more significant impact on cities with lower urbanization rates. 展开更多
关键词 Urbanization Regional differences Driving factor Ordered logit Multiple linear regression
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