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解开分子分母偏差III:按种族划分的1981 - 1999年死亡率数据调整比率。新西兰人口普查 - 死亡率研究。

Unlocking the numerator-denominator bias III: adjustment ratios by ethnicity for 1981-1999 mortality data. The New Zealand Census-Mortality Study.

作者信息

Ajwani Shilpi, Blakely Tony, Robson Bridget, Atkinson June, Kiro Cindy

机构信息

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

出版信息

N Z Med J. 2003 Jun 6;116(1175):U456.

Abstract

AIM

Maori and Pacific deaths are under-counted in mortality data relative to census data. This 'numerator-denominator' bias means that routinely calculated mortality rates by ethnicity are incorrect. We used New Zealand Census-Mortality Study data to quantify the bias from 1981 to 1999.

METHODS

The 1981, 1986, 1991 and 1996 Censuses were each anonymously and probabilistically linked to three years of subsequent mortality data, allowing a comparison of ethnicity recording.

RESULTS

Compared with death registrations, 16% more 0-74 year old decedents during 1981-1984 had self-identified as '1/2 or more Maori' on the 1981 Census, and 32% more during both 1986-1989 and 1991-1994 had self-identified as 'sole Maori' on the 1986 and 1991 Censuses. From September 1995, mortality data have allowed multiple ethnicity to be recorded. During 1996-1999, 7% more decedents identified Maori as one of their ethnic groups on the 1996 Census compared with mortality data. For Pacific decedents, 55%, 76% and 68% more self-identified as 'sole Pacific' on census data compared with data recorded on death registrations for 1981-1984, 1986-1989 and 1991-1994 respectively, but there was no difference for 1996-1999. The bias for Maori (but not for Pacific) was greater among the young and those living in central and southern regions of New Zealand.

CONCLUSIONS

The 1995 change to ethnicity recording on mortality data has improved the robustness of ethnicity data collection. These adjustment factors for 1981-1999 allow for more accurate calculations of ethnic-specific mortality rates over the last 20 years.

摘要

目的

与人口普查数据相比,毛利人和太平洋岛民的死亡人数在死亡率数据中被少计。这种“分子分母”偏差意味着按种族常规计算的死亡率是不正确的。我们使用新西兰人口普查-死亡率研究数据来量化1981年至1999年期间的偏差。

方法

1981年、1986年、1991年和1996年的人口普查分别以匿名和概率方式与随后三年的死亡率数据相链接,以便比较种族记录情况。

结果

与死亡登记相比,在1981年人口普查中,1981 - 1984年期间0 - 74岁的死者中,自认为“毛利人占比1/2或更多”的人数多16%;在1986年和1991年人口普查中,1986 - 1989年和1991 - 1994年期间自认为“纯毛利人”的人数分别多32%。从1995年9月起,死亡率数据允许记录多种族情况。在1996 - 1999年期间,与死亡率数据相比,在1996年人口普查中多7%的死者将毛利人列为其种族之一。对于太平洋岛民死者,与1981 - 1984年、1986 - 1989年和1991 - 1994年死亡登记记录的数据相比,在人口普查数据中分别多55%、76%和68%的人自认为是“纯太平洋岛民”,但在1996 - 1999年期间没有差异。毛利人的偏差(太平洋岛民则没有)在年轻人以及居住在新西兰中部和南部地区的人群中更大。

结论

1995年死亡率数据中种族记录方式的改变提高了种族数据收集的稳健性。这些1981 - 1999年的调整因素有助于更准确地计算过去20年中特定种族的死亡率。

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