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新西兰死亡率与人口普查数据的匿名关联。

Anonymous linkage of New Zealand mortality and Census data.

作者信息

Blakely T, Woodward A, Salmond C

机构信息

Department of Public Health, Wellington School of Medicine, University of Otago, New Zealand.

出版信息

Aust N Z J Public Health. 2000 Feb;24(1):92-5. doi: 10.1111/j.1467-842x.2000.tb00732.x.

DOI:10.1111/j.1467-842x.2000.tb00732.x
PMID:10777988
Abstract

BACKGROUND

The New Zealand Census-Mortality Study (NZCMS) aims to investigate socio-economic mortality gradients in New Zealand, by anonymously linking Census and mortality records.

OBJECTIVES

To describe the record linkage method, and to estimate the magnitude of bias in that linkage by demographic and socio-economic factors.

METHODS

Anonymous 1991 Census records, and mortality records for decedents aged 0-74 years on Census night and dying in the three-year period 1991-94, were probabilistically linked using Automatch. Bias in the record linkage was determined by comparing the demographic and socio-economic profile of linked mortality records to unlinked mortality records.

RESULTS

31,635 of 41,310 (76.6%) mortality records were linked to one of 3,373,896 Census records. The percentage of mortality records linked to a Census record was lowest for 20-24 year old decedents (49.0%) and highest for 65-69 year old decedents (81.0%). By ethnic group, 63.4%, 57.7%, and 78.6% of Maori, Pacific, and decedents of other ethnic groups, respectively, were linked. Controlling for demographic factors, decedents from the most deprived decile of small areas were 8% less likely to be linked than decedents from the least deprived decile, and male decedents from the lowest occupational class were 6% less likely to be linked than decedents from the highest occupational class.

CONCLUSION

The proportion and accuracy of mortality records linked was satisfactorily high. Future estimates of the relative risk of mortality by socio-economic status will be modestly under-estimated by 5-10%.

摘要

背景

新西兰人口普查-死亡率研究(NZCMS)旨在通过对人口普查和死亡率记录进行匿名关联,调查新西兰社会经济与死亡率之间的梯度关系。

目的

描述记录关联方法,并评估人口统计学和社会经济因素对该关联造成的偏差程度。

方法

使用Automatch软件对1991年匿名人口普查记录以及在普查当晚年龄为0至74岁且于1991年至1994年三年期间死亡者的死亡率记录进行概率关联。通过比较已关联死亡率记录与未关联死亡率记录的人口统计学和社会经济特征,确定记录关联中的偏差。

结果

41310条死亡率记录中的31635条(76.6%)与3373896条人口普查记录中的一条建立了关联。与人口普查记录建立关联的死亡率记录百分比在20至24岁死亡者中最低(49.0%),在65至69岁死亡者中最高(81.0%)。按种族划分,毛利人、太平洋岛民和其他种族死亡者的关联比例分别为63.4%、57.7%和78.6%。在控制人口统计学因素后,来自最贫困小区域十分位数的死亡者与来自最不贫困十分位数的死亡者相比,建立关联的可能性低8%,来自最低职业阶层的男性死亡者与来自最高职业阶层的死亡者相比,建立关联的可能性低6%。

结论

已关联死亡率记录的比例和准确性令人满意地高。未来按社会经济地位对死亡率相对风险的估计将被适度低估5%至10%。

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