文章摘要
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].中华流行病学杂志,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
收稿日期:2015-10-12  出版日期:2016-01-12
DOI:10.3760/cma.j.issn.0254-6450.2016.01.004
中文关键词: 产品伤害  伤害监测  产品安全
英文关键词: Product injury  Injury surveillance  Product safety
基金项目:
作者单位E-mail
叶鹏鹏 100050 北京, 中国疾病预防控制中心慢性非传染性疾病预防控制中心伤害防控室  
耳玉亮 100050 北京, 中国疾病预防控制中心慢性非传染性疾病预防控制中心伤害防控室  
汪媛 100050 北京, 中国疾病预防控制中心慢性非传染性疾病预防控制中心伤害防控室  
邓晓 100050 北京, 中国疾病预防控制中心慢性非传染性疾病预防控制中心伤害防控室  
段蕾蕾 100050 北京, 中国疾病预防控制中心慢性非传染性疾病预防控制中心伤害防控室 leileiduan@vip.sina.com 
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全文下载次数: 2012
中文摘要:
      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。
英文摘要:
      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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