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RESEARCH ARTICLE (Open Access)
Contents Vol 28(1)

Insights from linking routinely collected data across Australian health jurisdictions: a case study of end-of-life health service use

Julia Langton A B , David Goldsbury C , Preeyaporn Srasuebkul D , Jane Ingham E F , Dianne O’Connell C and Sallie-Anne Pearson A G *
+ Author Affiliations
- Author Affiliations

A Centre for Big Data Research in Health, Faculty of Medicine, UNSW Sydney, Australia

B Centre for Health Services and Policy Research, School of Population and Public Health, University of British Columbia, Vancouver, Canada

C Cancer Council NSW, Cancer Research Division, Sydney, Australia

D Department of Development Disability Neuropsychiatry, School of Psychiatry, Faculty of Medicine, UNSW Sydney, Australia

E Sacred Heart Health Service, St Vincent’s Health Network, Sydney, NSW, Australia

F Faculty of Medicine, St Vincent’s Hospital Clinical School, UNSW Sydney, Australia

G Faculty of Pharmacy, University of Sydney, NSW, Australia

* Correspondence to: sallie.pearson@unsw.edu.au

Public Health Research and Practice 28, e2811806 https://doi.org/10.17061/phrp2811806
Published: 15 March 2018

2018 © Langton et al. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Licence, which allows others to redistribute, adapt and share this work non-commercially provided they attribute the work and any adapted version of it is distributed under the same Creative Commons licence terms.

Abstract

Objectives:The jurisdictional nature of routinely collected health data in Australia has created challenges for linking data across state/territory and federal government boundaries. This has impeded understanding of the interplay between service use across hospital and community care. Our objective was to demonstrate the value-add of cross-jurisdictional data using a case study of health service use and the factors associated with healthcare use towards the end of life. Study type: Retrospective cohort study using routinely collected health data. Methods: We used two decedent cohorts of people aged ≥65 years who died in New South Wales (NSW), Australia, in 2006 or 2007. The population cohort comprised the general NSW population linked to NSW data collections; the other cohort comprised Australian Government Department of Veterans’ Affairs (DVA) clients (with full healthcare entitlements) linked to NSW and Commonwealth data. We compared information available on health services received during the last 6 months of life and ran multivariable analyses for both cohorts to demonstrate the added value of the Commonwealth data. Results: We included 37 567 decedents in the population cohort and 11 259 in the DVA cohort. Cancer was the cause of death for 27% of the NSW cohort and 22% of the DVA cohort; approximately 40% of decedents in each cohort had a cancer history. We summarise information on hospital services for both cohorts and examine community care (general practitioner consultations, specialist presentations, prescriptions dispensed) for the DVA cohort only. Multivariable analyses in the DVA cohort demonstrated that high rates of emergency department (ED) presentations and hospitalisation were associated with higher rates of use of all health services, including community care. Use of primary care did not reduce ED or hospital use. We were not able to examine the interplay between community and hospital care in the NSW population cohort. Conclusions: In our case study, we demonstrated the value-add of Commonwealth data for understanding the drivers of hospital services use, which has implications for service delivery and resource allocation. There is an abundance of routinely collected health data in Australia that can be used to describe whole-of-healthcare use for a broad range of issues.