Centre for International Health, Curtin Health Innovation Research Institute, Curtin University of Technology, Bently, Perth, Western Australia,
J Clin Epidemiol. 2011 Jun;64(6):658-66. doi: 10.1016/j.jclinepi.2010.08.008. Epub 2010 Dec 15.
To investigate the impact of prevalence correction of population denominators on myocardial infarction (MI) incidence rates, rate ratios, and rate differences in Aboriginal vs. non-Aboriginal Western Australians aged 25-74 years during the study period 2000-2004.
Person-based linked hospital and mortality data sets were used to estimate the number of prevalent and first-ever MI cases each year from 2000 to 2004 using a 15-year look-back period. Age-specific and -standardized MI incidence rates were calculated using both prevalence-corrected and -uncorrected population denominators, by sex and Aboriginality.
The impact of prevalence correction on rates increased with age, was higher for men than women, and substantially greater for Aboriginal than non-Aboriginal people. Despite the systematic underestimation of incidence, prevalence correction had little impact on the Aboriginal to non-Aboriginal age-standardized rate ratios (6% and 4% underestimate in men and women, respectively), although the impact on rate differences was more marked (12% and 6%, respectively). The percentage underestimate of differentials was greater at older ages.
Prevalence correction of denominators, while more accurate, is difficult to apply and may add modestly to the quantification of relative disparities in MI incidence between populations. Absolute incidence disparities using uncorrected denominators may have an error >10%.
调查在 2000-2004 年研究期间,对人群分母进行患病率校正对西澳大利亚 25-74 岁年龄段的原住民和非原住民人群心肌梗死(MI)发生率、率比和率差的影响。
使用基于个体的链接医院和死亡率数据集,使用 15 年的回顾期,估计每年 2000 年至 2004 年的现有和首次 MI 病例数。使用患病率校正和未校正的人群分母,按性别和原住民身份计算特定年龄和标准化的 MI 发病率。
患病率校正对率的影响随年龄增加而增加,男性高于女性,原住民高于非原住民。尽管对发病率进行了系统低估,但是患病率校正对原住民与非原住民的年龄标准化率比(男性和女性分别低估 6%和 4%)影响不大,尽管对率差的影响更为显著(分别为 12%和 6%)。在较老的年龄,差异的低估百分比更大。
虽然校正分母更准确,但应用困难,可能会适度增加人群间 MI 发病率相对差异的量化。使用未校正分母的绝对发病率差异可能有 >10%的误差。