Accuracy of reporting of Aboriginality on administrative health data collections using linked data in NSW, Australia

BMC Medical Research Methodology

Jason Boyd¹  Kim Lim²  Lee K. Taylor²  Michael A. Nelson²  Lisa Jackson-Pulver³  David Meharg⁴  Scott Winch⁵  Damien Cordery⁶  Allan Went⁶ 

[1] Bureau of Health Information, Chatswood, NSW, Australia;Centre for Epidemiology and Evidence, NSW Ministry of Health, Sydney, NSW, Australia;Deputy Vice-Chancellor, Indigenous Strategy and Services, University of Sydney, Sydney, Australia;Faculty of Medicine and Health, Sydney School of Health Sciences and the Poche Centre for Indigenous Health, University of Sydney, Sydney, NSW, Australia;Scott Winch, World Vision, Sydney, Australia;System Information and Analytics, NSW Ministry of Health, Sydney, NSW, Australia;

关键词: Aboriginal health;    Indigenous health;    Administrative data;    Linked data;    Data linkage;    Record linkage;    Reporting;    Identification;   

DOI  :  10.1186/s12874-020-01152-2

来源: Springer

【 摘 要 】

BackgroundAboriginal people are under-reported on administrative health data in Australia. Various approaches have been used or proposed to improve reporting of Aboriginal people using linked records. This cross-sectional study used self-reported Aboriginality from the NSW Patient Survey Program (PSP) as a reference standard to assess the accuracy of reporting of Aboriginal people on NSW Admitted Patient (APDC) and Emergency Department Data Collections (EDDC), and compare the accuracy of selected approaches to enhance reporting Aboriginality using linked data.MethodsTen PSP surveys were linked to five administrative health data collections, including APDC, EDDC, perinatal, and birth and death registration records. Accuracy of reporting of Aboriginality was assessed using sensitivity, specificity, and positive and negative predictive values (PPVs and NPVs) and F score for the EDDC and APDC as baseline and four enhancement approaches using linked records: “Most recent linked record”, “Ever reported as Aboriginal”, and two approaches using a weight of evidence, “Enhanced Reporting of Aboriginality (ERA) algorithm” and “Multi-stage median (MSM)”.ResultsThere was substantial under-reporting of Aboriginality on APDC and EDDC records (sensitivities 84 and 77% respectively) with PPVs of 95% on both data collections. Overall, specificities and NPVs were above 98%. Of people who were reported as Aboriginal on the PSP, 16% were not reported as Aboriginal on any of their linked records. Record linkage approaches generally increased sensitivity, accompanied by decrease in PPV with little change in overall F score for the APDC and an increase in F score for the EDDC. The “ERA algorithm” and “MSM” approaches provided the best overall accuracy.ConclusionsWeight of evidence approaches are preferred when record linkage is used to improve reporting of Aboriginality on administrative health data collections. However, as a substantial number of Aboriginal people are not reported as Aboriginal on any of their linked records, improvements in reporting are incomplete and should be taken into account when interpreting results of any analyses. Enhancement of reporting of Aboriginality using record linkage should not replace efforts to improve recording of Aboriginal people at the point of data collection and addressing barriers to self-identification for Aboriginal people.

【 授权许可】

CC BY