Baldwin Heather J, De La Mata Nicole, Sara Grant, McMillan Faye, Biles Brett, Wu Jianyun, Lawton Paul, McDonald Stephen, Webster Angela C
University of Sydney, Sydney, NSW.
Children's Hospital at Westmead, Sydney, NSW.
Med J Aust. 2025 Mar 17;222(5):240-248. doi: 10.5694/mja2.52613.
To examine the accuracy of the Australia and New Zealand Dialysis and Transplant Registry (ANZDATA), the population-based clinical quality registry for people with kidney failure, in identifying Aboriginal and/or Torres Strait Islander people.
Population-based cohort study of reporting accuracy.
New South Wales, 2006-2020.
Incident kidney failure patients.
Sensitivity and specificity of identification of Aboriginal and/or Torres Strait Islander people in ANZDATA compared with identification with Enhanced Reporting of Aboriginality (ERA) methods using linked health datasets.
Of 11 708 patients, 693 (5.9%) were identified as Aboriginal and/or Torres Strait Islander people using ERA methods, with 484 recognised in ANZDATA. Overall ANZDATA sensitivity was 67.0% (95% CI, 63.3-70.5%), with high specificity (99.8%; 95% CI, 99.7-99.9%). Sensitivity was lowest for males (63.8%; 95% CI, 58.7-68.6), people aged under 18 years (45.0%; 95% CI, 23.1-68.5%) or over 65 years (61.7%; 95% CI, 53.8-69.2%), and those with greater socio-economic advantage (56.6%; 95% CI, 46.6-66.2%), living in major cities (53.8%; 95% CI, 48.0-59.5%) and with no comorbidities (47.7%; 95% CI, 37.0-58.6%). Aboriginal and/or Torres Strait Islander people identified in ANZDATA had lower rates of waitlisting for kidney transplantation (17.8% v 25.3%; P = 0.016) and receiving a kidney transplant (12.2% v 23.1%; P < 0.001) and a higher rate of death (56.0% v 44.5%; P = 0.004) compared with those not recognised in ANZDATA.
Aboriginal and/or Torres Strait Islander people were under-reported in ANZDATA. There were multiple biases in characteristics and outcomes for people identified in ANZDATA compared with those identified by ERA using linked data. This highlights the importance of data integration as a quality improvement mechanism and identifying barriers to disclosure.
检验澳大利亚和新西兰透析与移植登记处(ANZDATA)这一基于人群的肾衰竭患者临床质量登记处识别原住民和/或托雷斯海峡岛民的准确性。
关于报告准确性的基于人群的队列研究。
新南威尔士州,2006 - 2020年。
新发肾衰竭患者。
将ANZDATA中识别原住民和/或托雷斯海峡岛民的敏感性和特异性与使用关联健康数据集的强化原住民身份报告(ERA)方法进行识别的结果相比较。
在11708名患者中,使用ERA方法识别出693名(5.9%)为原住民和/或托雷斯海峡岛民,其中484名在ANZDATA中被识别出来。总体而言,ANZDATA的敏感性为67.0%(95%可信区间,63.3 - 70.5%),特异性较高(99.8%;95%可信区间,99.7 - 99.9%)。男性(63.8%;95%可信区间,58.7 - 68.6)、18岁以下(45.0%;95%可信区间,23.1 - 68.5%)或65岁以上(61.7%;95%可信区间,53.8 - 69.2%)的人群、社会经济优势较大的人群(56.6%;95%可信区间,46.6 - 66.2%)、居住在大城市的人群(53.8%;95%可信区间,48.0 - 59.5%)以及无合并症的人群(47.7%;95%可信区间,从37.0 - 58.6%)的敏感性最低。与在ANZDATA中未被识别出的人群相比,在ANZDATA中被识别出的原住民和/或托雷斯海峡岛民等待肾移植的比例较低(17.8%对25.3%;P = 0.016),接受肾移植的比例较低(12.2%对23.1%;P < 0.001),死亡比例较高(56.0%对44.5%;P = 0.004)。
ANZDATA对原住民和/或托雷斯海峡岛民的报告不足。与使用关联数据通过ERA识别出的人群相比,在ANZDATA中被识别出的人群在特征和结局方面存在多种偏差。这凸显了数据整合作为质量改进机制以及识别信息披露障碍的重要性。