Abstract
叶鹏鹏,耳玉亮,汪媛,邓晓,段蕾蕾.2012-2014年全国11地区32家医院的产品伤害病例特征分析[J].Chinese journal of Epidemiology,2016,37(1):16-23
2012-2014年全国11地区32家医院的产品伤害病例特征分析
Epidemiological characteristics of product harm cases in 32 hospitals in 11 areas in China, 2012-2014
Received:October 12, 2015  
DOI:10.3760/cma.j.issn.0254-6450.2016.01.004
KeyWord: 产品伤害  伤害监测  产品安全
English Key Word: Product injury  Injury surveillance  Product safety
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Author NameAffiliationE-mail
Ye Pengpeng Division of Injury Prevention, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China  
Er Yuliang Division of Injury Prevention, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China  
Wang Yuan Division of Injury Prevention, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China  
Deng Xiao Division of Injury Prevention, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China  
Duan Leilei Division of Injury Prevention, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China leileiduan@vip.sina.com 
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Abstract:
      目的 分析2012-2014年全国11地区32家医院的产品伤害病例特征,为开展产品专项调查,实施产品伤害预警,建立产品质量安全风险评估监测提供基础数据支持。方法 以全国伤害监测为基础,利用2012-2014年全国11地区32家医院收集的产品伤害病例信息,对产品伤害病例总体情况、病患特征和临床特征进行描述性分析。结果 2012-2014年全国11地区32家医院共收集产品伤害病例208 784例,占同期伤害病例总量的19.50%,产品伤害共计222 401人次。涉及伤害人次数居前5位产品大类依次为“除汽车外的其他交通运输设备”(36.55%)、“汽车”(21.50%)、“其他产品”(20.84%)、“家具”(7.21%)和“食品、药品及相关产品”(5.18%)。所有产品伤害病例中,男性病例数和人次数均大于女性,25~44岁男性受产品伤害的影响可能较大。大部分产品伤害常见的发生原因是钝器伤、部位是头部、性质为挫伤/擦伤。结论 不同的产品伤害涉及的重点人群、伤害原因、部位、性质有所不同,应有针对性的制定干预措施、开展产品伤害预防工作。
English Abstract:
      Objective To understand the epidemiological characteristics of product harm cases in 32 hospitals in 11 areas in China from 2012 to 2014 and provide the basic data to support for product-specific survey, product harm early warning and the assessment of product safety. Methods The descriptive epidemiologic analysis was conducted by using the surveillance data of product harm collected from 32 hospitals in 11 areas in China during 2012-2014. Results A total of 208 784 product harm cases were reported in the 32 hospitals during 2012-2014, accounting for 19.50% of total harm cases during the same period. A total of 222 401 cases (times) of product harm were reported. For all the product harms, the top five products causing harms were transportation equipment except motor vehicle (36.55%), motor vehicle (21.50%), other products (20.84%), furniture (7.21%) and food, medicine and related products (5.18%). Both the case number and times of product harm were higher in males than in females. Males aged 25-44 years might be at greater risk for product harm. Most product harms, i.e. bruise, were caused by blunt force on heads. Conclusions The epidemiologic characteristics of product harm varied with products. It is necessary to take targeted intervention measures to prevent product harm.
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