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Assessing the quality of cause of death data in six high-income countries: Australia, Canada, Denmark, Germany, Japan and Switzerland

机译:评估六个高收入国家死亡数据的质量:澳大利亚,加拿大,丹麦,德国,日本和瑞士

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Objectives To assess the policy utility of national cause of death (COD) data of six high-income countries with highly developed health information systems. Methods National COD data sets from Australia, Canada, Denmark, Germany, Japan and Switzerland for 2015 or 2016 were assessed by applying the ANACONDA software tool. Levels, patterns and distributions of unusable and insufficiently specified "garbage" codes were analysed. Results The average proportion of unusable COD was 18% across the six countries, ranging from 14% in Australia and Canada to 25% in Japan. Insufficiently specified codes accounted for a further 8% of deaths, on average, varying from 6% in Switzerland to 11% in Japan. The most commonly used garbage codes were Other ill-defined and unspecified deaths (R99), Heart failure (I50.9) and Senility (R54). Conclusions COD certification errors are common, even in countries with very advanced health information systems, greatly reducing the policy value of mortality data. All countries should routinely provide certification training for hospital interns and raise awareness among doctors of their public health responsibility to certify deaths correctly and usefully for public health policy.
机译:目的,评估国家死亡事业政策效用(COD)六个高收入国家的数据,具有高度发达的卫生信息系统。方法通过应用Anaconda软件工具,评估来自澳大利亚,加拿大,丹麦,德国,日本和瑞士的国家鳕鱼数据集2015年或2016年。分析了不可用和不足指定的“垃圾”代码的水平,模式和分布。结果六个国家的平均比例为18%,在澳大利亚和加拿大的14%范围为日本的25%。指定的规范不足,占8%的死亡人均,平均而言,瑞士的6%不同,日本的11%。最常用的垃圾代码是其他不明定义和未指明的死亡(R99),心力衰竭(I50.9)和衰老(R54)。结论COD认证错误是常见的,即使在具有非常先进的健康信息系统的国家,大大降低了死亡数据的政策价值。所有国家都应常规为医院实习生提供认证培训,并提高公共卫生负责医生的认识,以便正确认证死亡,并有利于公共卫生政策。

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