Linking Registry Data with Australian Medicare And Medication Dispensing Claims Data: Feasibility, Benefits and Limitations
Introduction Recent advances in Australia mean that it is possible to link national clinical registries with government held administrative datasets. However, formal evaluations of such activities and the potential impact for research are lacking. Objectives and Approach We aimed to assess the f...
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doaj-12a68db3a1844ad79befb9bd4c7addf22021-02-10T16:42:07ZengSwansea UniversityInternational Journal of Population Data Science2399-49082020-12-015510.23889/ijpds.v5i5.1590Linking Registry Data with Australian Medicare And Medication Dispensing Claims Data: Feasibility, Benefits and LimitationsNadine E Andrew0Dominique A Cadilhac1Vijaya Sundararajan2Amanda G Thrift3Phil Anderson4Natasha A Lannin5Sam Shehata6Monique F Kilkenny7Peninsula Clinical School, Central Clinical School, Monash University, VIC, AustraliaStroke and Ageing Research, School of Clinical Sciences at Monash Health, Monash University and Florey Institute of Neuroscience and Mental Health, VIC, AustraliaDepartment of Public Health, School of Psychology and Public Health, La Trobe University, VIC, AustraliaStroke and Ageing Research, School of Clinical Sciences at Monash Health, Monash University, VIC, AustraliaHealth Linkage Unit, Australian Institute of Health and Welfare and Faculty of Health, University of Canberra, ACT, AustraliaDepartment of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC AustraliaFlorey Institute of Neuroscience and Mental Health, VIC, Australia Stroke and Ageing Research, School of Clinical Sciences at Monash Health, Monash University and Florey Institute of Neuroscience and Mental Health, VIC, Australia Introduction Recent advances in Australia mean that it is possible to link national clinical registries with government held administrative datasets. However, formal evaluations of such activities and the potential impact for research are lacking. Objectives and Approach We aimed to assess the feasibility and accuracy of linking registrants from the Australian Stroke Clinical Registry (AuSCR) with the Medicare enrolment file. Following data custodian and ethics approvals, personal linkage identifiers were submitted to the Australian Institute of Health and Welfare (AIHW). De-identified data from AuSCR and the AIHW were submitted into the Secure Unified Research Environment and merged using project specific person-based IDs. We calculated the proportion of patients linked with the Medicare enrolment file that were present in the associated Medicare and medication dispensing datasets and the proportion with claims after their date of death. Logistic regression was used to identify factors associated with a non-merged patient. Results 17,980 AuSCR registrants (January 2010-July 2014) were submitted for linkage (median age 76 years; 46% female; 67% ischaemic stroke; 16% TIA). Of these, 93% were merged with Medicare (N=16,648) and 95% with subsidised medication dispensing claims data (N=17,079). In those who died, 127 (0.8%) had one or more Medicare claim and 411 (2.4%) had one or more medications dispensed after their death date. Asian born registrants were less likely to be merged with Medicare (adjusted Odds Ratio [aOR]: 0.54; 95% Confidence Interval [CI]: 0.40, 0.72) than Australian born registrants. Those aged ≥85 years were less likely to be merged with Medicare data than those aged <65 years (aOR 0.24; 95% CI: 0.19, 0.29) but were more likely to be merged with dispensing data (aOR: 2.22 (95% CI: 1.73, 2.84). Conclusion/Implications Linkage between a national clinical quality registry and the Medicare spine is feasible. These linkages will provide novel insights into post-stroke care. https://ijpds.org/article/view/1590 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nadine E Andrew Dominique A Cadilhac Vijaya Sundararajan Amanda G Thrift Phil Anderson Natasha A Lannin Sam Shehata Monique F Kilkenny |
spellingShingle |
Nadine E Andrew Dominique A Cadilhac Vijaya Sundararajan Amanda G Thrift Phil Anderson Natasha A Lannin Sam Shehata Monique F Kilkenny Linking Registry Data with Australian Medicare And Medication Dispensing Claims Data: Feasibility, Benefits and Limitations International Journal of Population Data Science |
author_facet |
Nadine E Andrew Dominique A Cadilhac Vijaya Sundararajan Amanda G Thrift Phil Anderson Natasha A Lannin Sam Shehata Monique F Kilkenny |
author_sort |
Nadine E Andrew |
title |
Linking Registry Data with Australian Medicare And Medication Dispensing Claims Data: Feasibility, Benefits and Limitations |
title_short |
Linking Registry Data with Australian Medicare And Medication Dispensing Claims Data: Feasibility, Benefits and Limitations |
title_full |
Linking Registry Data with Australian Medicare And Medication Dispensing Claims Data: Feasibility, Benefits and Limitations |
title_fullStr |
Linking Registry Data with Australian Medicare And Medication Dispensing Claims Data: Feasibility, Benefits and Limitations |
title_full_unstemmed |
Linking Registry Data with Australian Medicare And Medication Dispensing Claims Data: Feasibility, Benefits and Limitations |
title_sort |
linking registry data with australian medicare and medication dispensing claims data: feasibility, benefits and limitations |
publisher |
Swansea University |
series |
International Journal of Population Data Science |
issn |
2399-4908 |
publishDate |
2020-12-01 |
description |
Introduction
Recent advances in Australia mean that it is possible to link national clinical registries with government held administrative datasets. However, formal evaluations of such activities and the potential impact for research are lacking.
Objectives and Approach
We aimed to assess the feasibility and accuracy of linking registrants from the Australian Stroke Clinical Registry (AuSCR) with the Medicare enrolment file. Following data custodian and ethics approvals, personal linkage identifiers were submitted to the Australian Institute of Health and Welfare (AIHW). De-identified data from AuSCR and the AIHW were submitted into the Secure Unified Research Environment and merged using project specific person-based IDs. We calculated the proportion of patients linked with the Medicare enrolment file that were present in the associated Medicare and medication dispensing datasets and the proportion with claims after their date of death. Logistic regression was used to identify factors associated with a non-merged patient.
Results
17,980 AuSCR registrants (January 2010-July 2014) were submitted for linkage (median age 76 years; 46% female; 67% ischaemic stroke; 16% TIA). Of these, 93% were merged with Medicare (N=16,648) and 95% with subsidised medication dispensing claims data (N=17,079). In those who died, 127 (0.8%) had one or more Medicare claim and 411 (2.4%) had one or more medications dispensed after their death date. Asian born registrants were less likely to be merged with Medicare (adjusted Odds Ratio [aOR]: 0.54; 95% Confidence Interval [CI]: 0.40, 0.72) than Australian born registrants. Those aged ≥85 years were less likely to be merged with Medicare data than those aged <65 years (aOR 0.24; 95% CI: 0.19, 0.29) but were more likely to be merged with dispensing data (aOR: 2.22 (95% CI: 1.73, 2.84).
Conclusion/Implications
Linkage between a national clinical quality registry and the Medicare spine is feasible. These linkages will provide novel insights into post-stroke care.
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url |
https://ijpds.org/article/view/1590 |
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