TY - JOUR
T1 - Closing the gap in kidney disease
T2 - validating the reporting of Aboriginal and/or Torres Strait Islander identification in a clinical quality registry using linked data
AU - Baldwin, Heather J.
AU - De La Mata, Nicole
AU - Sara, Grant
AU - McMillan, Faye
AU - Biles, Brett
AU - Wu, Jianyun
AU - Lawton, Paul
AU - McDonald, Stephen
AU - Webster, Angela C.
N1 - Publisher Copyright:
© 2025 The Author(s). Medical Journal of Australia published by John Wiley & Sons Australia, Ltd on behalf of AMPCo Pty Ltd.
PY - 2025/3/17
Y1 - 2025/3/17
N2 - Objective: 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. Design: Population-based cohort study of reporting accuracy. Setting: New South Wales, 2006–2020. Participants: Incident kidney failure patients. Main outcome measures: 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. Results: 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. Conclusion: 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.
AB - Objective: 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. Design: Population-based cohort study of reporting accuracy. Setting: New South Wales, 2006–2020. Participants: Incident kidney failure patients. Main outcome measures: 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. Results: 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. Conclusion: 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.
KW - Culture
KW - Data collection
KW - Datasets as topic
KW - Health services research
KW - Kidney transplantation
KW - Public health
KW - Renal dialysis
KW - Social determinants of health
KW - Statistics
UR - http://www.scopus.com/inward/record.url?scp=105000327023&partnerID=8YFLogxK
U2 - 10.5694/mja2.52613
DO - 10.5694/mja2.52613
M3 - Article
C2 - 40089918
AN - SCOPUS:105000327023
SN - 0025-729X
VL - 222
SP - 240
EP - 248
JO - Medical Journal of Australia
JF - Medical Journal of Australia
IS - 5
ER -