Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE (Open Access)

Recent trends in the use of linked data in Australia

Angela Young A and Felicity Flack A B
+ Author Affiliations
- Author Affiliations

A Research Infrastructure Centres, The University of Western Australia. M320, 35 Stirling Highway Crawley, WA 6009, Australia. Email: angela.young@uwa.edu.au

B Corresponding author. Email: felicity.flack@uwa.edu.au

Australian Health Review 42(5) 584-590 https://doi.org/10.1071/AH18014
Submitted: 16 January 2018  Accepted: 22 May 2018   Published: 27 August 2018

Journal compilation © AHHA 2018 Open Access CC BY-NC-ND

Abstract

Objective The aim of this study was to quantify the use of linked data for health and human services research in Australia since the establishment of the Population Health Research Network (PHRN) in 2009.

Methods A systematic literature search was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2009 checklist to search for all publications involving the use of Australian linked data between 2009–10 and 2016–17. Publications were categorised by subject, data linked and data linkage unit involved.

Results In all, 7153 articles were identified from the initial search, and 1208 were included in the final analysis. An increase in the number of publications involving linked data was observed from 2009–10 through to 2015–16. Most articles (82%) featured data linked by at least one PHRN-funded data linkage unit. The research areas of 86% of publications were able to be classified according to the International Statistical Classification of Diseases and Related Health Problems 10th Revision Australian Modification (ICD-10-AM). The number of publications involving cross-sectoral linked data also increased.

Conclusions Investment in Australian data linkage infrastructure has seen an increase in the number of research publications involving the use of linked health and human services data. This study identified areas where linked data is commonly used and those where use could be improved.

What is known about the topic? Data linkage is a method of bringing together information about individual people, places and events from different sources in a way that protects individual privacy. Individual jurisdictions have reported benefits from research conducted using linked data, including the generation of new knowledge and supporting improvements in the delivery of a wide range of health and human services. There has been significant investment in national data linkage infrastructure in Australia over the past 8 years. To date, there has been no systematic investigation of the effect of this investment on the use of linked population data by the research community.

What does this paper add? This paper provides evidence of the increased use of high-quality population-based linked data in research over the 8-year period studied. It demonstrates the application of data linkage across a wide range of health areas and highlights the small but growing number of studies using cross-sectoral data to investigate complex conditions.

What are the implications for practitioners? It is important to demonstrate to funders, policy makers, data custodians and researchers the value of robust data linkage capacity as an important national resource. Its use by researchers can bring enormous social and economic benefits by providing a more complete picture of the health and well-being of the community. The range of data collections routinely linked is increasing, as is the pool of researchers experienced in handling and analysing the data. Continued investment in Australia’s data linkage infrastructure and the inclusion of other collections including general practice data will augment the use of this infrastructure in expanding the evidence base for policy makers and practitioners.


References

[1]  Hobbs MS, McCall MG. Health statistics and record linkage in Australia. J Chronic Dis 1970; 23 375–81.
Health statistics and record linkage in Australia.Crossref | GoogleScholarGoogle Scholar |

[2]  Holman CD, Bass AJ, Rosman DL, Smith MB, Semmens JB, Glasson EJ, Brook EL, Trutwein B, Rouse IL, Watson CR, de Klerk NH, Stanley FJ. A decade of data linkage in Western Australia: strategic design, applications and benefits of the WA data linkage system. Aust Health Rev 2008; 32 766–77.
A decade of data linkage in Western Australia: strategic design, applications and benefits of the WA data linkage system.Crossref | GoogleScholarGoogle Scholar |

[3]  Irvine KA, Moore EA. Linkage of routinely collected data in practice: the Centre for Health Record Linkage. Public Health Res Pract 2015; 25 e2541548
Linkage of routinely collected data in practice: the Centre for Health Record Linkage.Crossref | GoogleScholarGoogle Scholar |

[4]  Australian Institute of Health and Welfare. Data linkage. Last updated 8 February 2018. Available at: https://www.aihw.gov.au/our-services/data-linkage [verified 16 May 2018].

[5]  Population Health Research Network. Population Health Research Network Overview. 2018. Available at: http://www.phrn.org.au/about-us/overview/ [verified 16 May 2018].

[6]  Brook EL, Rosman DL, Holman CD. Public good through data linkage: measuring research outputs from the Western Australian Data Linkage System. Aust N Z J Public Health 2008; 32 19–23.
Public good through data linkage: measuring research outputs from the Western Australian Data Linkage System.Crossref | GoogleScholarGoogle Scholar |

[7]  Irvine KA, Taylor LK. The Centre for Health Record Linkage: fostering population health research in NSW. N S W Public Health Bull 2011; 22 17–18.
The Centre for Health Record Linkage: fostering population health research in NSW.Crossref | GoogleScholarGoogle Scholar |

[8]  Tew M, Dalziel KM, Petrie DJ, Clarke PM. Growth of linked hospital data use in Australia: a systematic review. Aust Health Rev 2017; 41 394–400.
Growth of linked hospital data use in Australia: a systematic review.Crossref | GoogleScholarGoogle Scholar |

[9]  Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ 2009; 339 b2535
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.Crossref | GoogleScholarGoogle Scholar |

[10]  Population Health Research Network. Research publications. 2016. Available at: http://www.phrn.org.au/publications/research-publications/ [verified 16 May 2018].

[11]  Centre for Health Record Linkage. Publications. 2018. Available at: http://www.cherel.org.au/publications [verified 16 May 2018].

[12]  Biogrid Australia. Biogrid associated journal publications by year. 2018. Available at: https://www.biogrid.org.au/page/19/journal-publications [verified 16 May 2018].

[13]  Australian Consortium for Classification Development. The international statistical classification of diseases and related health problems tenth revision Australian modification (ICD-10-AM/ACHI/ACS). Darlinghurst: Independent Hospital Pricing Authority; 2017.

[14]  Australian Institute of Health and Welfare. First report on the national health priority areas, full report. 1997. Available at: https://www.aihw.gov.au/reports/health-care-quality-performance/national-health-priority-areas-first-report/related-material [verified 16 May 2018].

[15]  Population Health Research Network. For researchers – data collections available. 2018. Available at: http://www.phrn.org.au/for-researchers/data-collections-available-by-jurisdiction/ [verified 21 June 2018].

[16]  Australian Institute of Health and Welfare. National health priority areas as at September 2017. 2017. Available at: https://www.aihw.gov.au/getmedia/28c917f3-cb00-44dd-ba86-c13e764dea6b/education-resource-health-priority-areas.pdf.aspx [verified 16 May 2018].

[17]  National Health and Medical Research Council. Research funding statistics and data. 2018. Available at: https://www.nhmrc.gov.au/grants-funding/research-funding-statistics-and-data [verified 16 May 2018].

[18]  de Lusignan S, van Weel C. The use of routinely collected computer data for research in primary care: opportunities and challenges. Fam Pract 2006; 23 253–63.
The use of routinely collected computer data for research in primary care: opportunities and challenges.Crossref | GoogleScholarGoogle Scholar |

[19]  National Statistical Service. A guide for data integration projects involving commonwealth data for statistical and research purposes. 2014. Available at: https://statistical-data-integration.govspace.gov.au/ [verified 16 May 2018].

[20]  Western Australian Data Linkage Branch. Data linkage WA. 2017. Available at: https://www.datalinkage-wa.org.au/sites/default/files/Dataset_Menu_Current_20170717.pdf [verified 16 May 2018].

[21]  SA–NT DataLink. Available datasets. 2018. Available at: https://www.santdatalink.org.au/available_datasets [verified 16 May 2018].

[22]  The Centre for Health Record Linkage. Master linkage key (MLK). 2018. Available at: http://www.cherel.org.au/master-linkage-key [verified 16 May 2018].

[23]  Stanley F, Glauert R, McKenzie A, O’Donnell M. Can joined-up data lead to joined-up thinking? The Western Australian Developmental Pathways Project. Healthcare Policy 2011; 6 63–73.

[24]  Australian Government Productivity Commission. Data availability and use: overview & recommendations. Report No. 82. Canberra: Australian Government Productivity Commission; 2017.

[25]  Moore HC, Guiver T, Woollacott A, De Klerk N, Gidding HF. Establishing a process for conducting cross-jurisdictional record linkage in Australia. Aust N Z J Public Health 2016; 40 159–64.
Establishing a process for conducting cross-jurisdictional record linkage in Australia.Crossref | GoogleScholarGoogle Scholar |

[26]  Population Health Research Network. Report on identifying and prioritising high value data collections for linkage. Population Health Research Network: Perth; 2017.

[27]  Benchimol EI, Smeeth L, Guttmann A, Harron K, Moher D, Petersen I, Sørensen HT, von Elm E, Langan SM. The reporting of studies conducted using observational routinely-collected health data (RECORD) statement. PLoS Med 2015; 12 e1001885
The reporting of studies conducted using observational routinely-collected health data (RECORD) statement.Crossref | GoogleScholarGoogle Scholar |

[28]  Population Health Research Network. Population Health Research Network strategic plan 2017–2026. Population Health Research Network: Perth; 2016.