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Accuracy of reporting of Aboriginality on administrative health data collections using linked data in NSW, Australia
BACKGROUND: Aboriginal 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 (...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594479/ https://www.ncbi.nlm.nih.gov/pubmed/33115422 http://dx.doi.org/10.1186/s12874-020-01152-2 |
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author | Nelson, Michael A. Lim, Kim Boyd, Jason Cordery, Damien Went, Allan Meharg, David Jackson-Pulver, Lisa Winch, Scott Taylor, Lee K. |
author_facet | Nelson, Michael A. Lim, Kim Boyd, Jason Cordery, Damien Went, Allan Meharg, David Jackson-Pulver, Lisa Winch, Scott Taylor, Lee K. |
author_sort | Nelson, Michael A. |
collection | PubMed |
description | BACKGROUND: Aboriginal 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. METHODS: Ten 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)”. RESULTS: There 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. CONCLUSIONS: Weight 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-020-01152-2. |
format | Online Article Text |
id | pubmed-7594479 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75944792020-10-30 Accuracy of reporting of Aboriginality on administrative health data collections using linked data in NSW, Australia Nelson, Michael A. Lim, Kim Boyd, Jason Cordery, Damien Went, Allan Meharg, David Jackson-Pulver, Lisa Winch, Scott Taylor, Lee K. BMC Med Res Methodol Research Article BACKGROUND: Aboriginal 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. METHODS: Ten 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)”. RESULTS: There 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. CONCLUSIONS: Weight 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-020-01152-2. BioMed Central 2020-10-28 /pmc/articles/PMC7594479/ /pubmed/33115422 http://dx.doi.org/10.1186/s12874-020-01152-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Nelson, Michael A. Lim, Kim Boyd, Jason Cordery, Damien Went, Allan Meharg, David Jackson-Pulver, Lisa Winch, Scott Taylor, Lee K. Accuracy of reporting of Aboriginality on administrative health data collections using linked data in NSW, Australia |
title | Accuracy of reporting of Aboriginality on administrative health data collections using linked data in NSW, Australia |
title_full | Accuracy of reporting of Aboriginality on administrative health data collections using linked data in NSW, Australia |
title_fullStr | Accuracy of reporting of Aboriginality on administrative health data collections using linked data in NSW, Australia |
title_full_unstemmed | Accuracy of reporting of Aboriginality on administrative health data collections using linked data in NSW, Australia |
title_short | Accuracy of reporting of Aboriginality on administrative health data collections using linked data in NSW, Australia |
title_sort | accuracy of reporting of aboriginality on administrative health data collections using linked data in nsw, australia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594479/ https://www.ncbi.nlm.nih.gov/pubmed/33115422 http://dx.doi.org/10.1186/s12874-020-01152-2 |
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