首页> 美国卫生研究院文献>PLoS Clinical Trials >The gap between cause-of-death statistics and Household Registration reports in Shandong, China during 2011-2013: Evaluation and adjustment for underreporting in the mortality data for 262 subcounty level populations
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The gap between cause-of-death statistics and Household Registration reports in Shandong, China during 2011-2013: Evaluation and adjustment for underreporting in the mortality data for 262 subcounty level populations

机译:2011-2013年中国山东省,死亡原因统计数据与户籍报告之间的差距:262个县以下级别人口的死亡率数据估计不足的评估和调整

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摘要

Underreporting is a quality concern in mortality statistics. The purpose of this study was to assess and adjust underreporting in the population-based cause-of-death statistics. The total population (96 million) in Shandong, China was divided into 262 subcounty level populations geographically and by residence type (urban/rural). For each subpopulation, the total number of deaths during the years 2011–2013 was determined using data from the Household Registration System (HRS), and was used as a reference to assess the underreporting rate (UR) in the cause-of-death data from the Shandong Death Registration System (SDRS). It was estimated that 454,615 deaths, or 21.5% (95% CI: 21.4–21.5%) were unreported. Underreporting was more pronounced in rural (22.1%) versus urban communities (20.0%), in economically underdeveloped regions (32% versus 16% in least disadvantaged areas), and in newly included sites with no prior experience in cause-of-death reporting (24% versus 17%). Geographic variation was large with a UR at the prefectural level ranging from 11.2% to 43.7%. A stratified analysis showed that UR was higher in rural populations in high-income regions, but in middle- and low-income regions, was higher in urban communities. An adjustment factor (AF) was calculated for each of the 262 subpopulations (ranging from 0.9 to 2.5 with an average of 1.27). The total morality rate was adjusted from 6.03 to 7.67 deaths per 1000 persons. Underreporting in the SDRS varies greatly between areas and populations and is related to residence type, prior experience and local economy. Correcting underreporting at a local level is needed especially for comparative analyses across geographical areas or populations.
机译:漏报是死亡率统计中的质量问题。这项研究的目的是评估和调整基于人群的死亡原因统计中的报告不足。中国山东省的总人口(9,600万)按地理位置和居住类型(城市/农村)划分为262个县以下级别的人口。对于每个亚人群,使用住户登记系统(HRS)的数据确定了2011-2013年的死亡总数,并用作评估死因数据中报告不足率(UR)的参考来自山东省死亡登记系统(SDRS)。据估计未报告454,615人死亡,即21.5%(95%CI:21.4–21.5%)。农村地区(22.1%)比城市社区(20.0%),经济欠发达地区(32%对比最弱势地区的16%)和在没有死亡原因报道经验的新站点中,报告不足的情况更为明显。 (24%比17%)。地域差异很大,县级UR介于11.2%至43.7%之间。分层分析显示,在高收入地区的农村人口中UR较高,而在中低收入地区的城市社区中,UR较高。为262个亚群中的每一个计算调整因子(AF)(范围从0.9到2.5,平均值为1.27)。总道德率从每1000人中6.03例死亡调整为7.67例死亡。 SDRS的漏报在地区和人口之间差异很大,并且与居住类型,先前的经验和当地经济有关。特别是在跨地理区域或人口的比较分析中,需要纠正局部报告不足的情况。

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