利用相关的行政数据捕捉新西兰太平洋地区人口癌症发病率和结果的多样性。

IF 1.2 Q2 MEDICINE, GENERAL & INTERNAL
Nicole Satherley, Andrew Sporle
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引用次数: 0

摘要

目的:被定义为“太平洋”的新西兰人口在种族上是多样化的,但这种多样性很少在健康研究中得到检验。本文采用新颖的方法来描述新西兰特定太平洋人口的健康结果,以所有癌症和胃癌的发病率和死亡率为例。还评估了离开该国对后续行动造成的损失的影响。方法:将新西兰癌症登记处与管理数据集联系起来,并在新西兰统计局的综合数据基础设施(IDI)中进行分析。研究了1995-2022年期间所有癌症和胃癌的发病率,以及1998-2017年诊断的1-5年死亡率。结果:太平洋不同组的年龄标准化全癌发病率和胃癌发病率存在差异。各组之间的死亡率差异较小,在调整了那些离开该国的人的死亡率后,这些死亡率仅略有增加。与1998-2007年相比,2008-2017年所有癌症死亡率均有所降低。结论:在将太平洋民族作为一个总体种族群体进行调查时,掩盖了特定太平洋民族之间健康结果的差异。然而,在使用IDI时,小民族的小规模统计给提供详细、可靠的数据带来了挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capturing diversity in cancer incidence and outcomes among the New Zealand Pacific population using linked administrative data.

Aim: The New Zealand population defined as "Pacific" is ethnically diverse, but this diversity is seldom examined in health research. This paper applies novel methods for describing health outcomes for specific Pacific populations in New Zealand using all-cancer and gastric cancer incidence and mortality as examples. Effects of loss to follow-up from leaving the country are also assessed.

Method: The New Zealand Cancer Registry was linked to administrative datasets and analysed within Stats NZ's Integrated Data Infrastructure (IDI). All-cancer and gastric cancer incidence was examined over the 1995-2022 period, as well as 1-5-year mortality among 1998-2017 diagnoses.

Results: There was variability in age-standardised all-cancer incidence and gastric cancer incidence for different Pacific groups. Less variation in mortality was identified between groups, and these rates increased only modestly when adjusting for those who left the country. Lower all-cancer mortality was observed in 2008-2017 compared with 1998-2007.

Conclusion: Variation in health outcomes among specific Pacific ethnicities is masked when examining Pacific peoples as an aggregated ethnic group. However, small counts among small ethnicities create challenges for producing detailed, reliable data when using the IDI.

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来源期刊
NEW ZEALAND MEDICAL JOURNAL
NEW ZEALAND MEDICAL JOURNAL MEDICINE, GENERAL & INTERNAL-
CiteScore
2.30
自引率
23.50%
发文量
229
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