Literature DB >> 30145995

Recent trends in the use of linked data in Australia.

Angela Young1, Felicity Flack1.   

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.

Entities:  

Mesh:

Year:  2018        PMID: 30145995     DOI: 10.1071/AH18014

Source DB:  PubMed          Journal:  Aust Health Rev        ISSN: 0156-5788            Impact factor:   1.990


  9 in total

1.  A Comprehensive Systematic Review of Data Linkage Publications on Diabetes in Australia.

Authors:  Ngan T T Dinh; Ingrid A Cox; Barbara de Graaff; Julie A Campbell; Brian Stokes; Andrew J Palmer
Journal:  Front Public Health       Date:  2022-05-25

2.  Linking disease registries and nationwide healthcare administrative databases: the French renal epidemiology and information network (REIN) insight.

Authors:  Maxime Raffray; Sahar Bayat; Mathilde Lassalle; Cécile Couchoud
Journal:  BMC Nephrol       Date:  2020-01-28       Impact factor: 2.585

3.  Research using population-based administration data integrated with longitudinal data in child protection settings: A systematic review.

Authors:  Fadzai Chikwava; Reinie Cordier; Anna Ferrante; Melissa O'Donnell; Renée Speyer; Lauren Parsons
Journal:  PLoS One       Date:  2021-03-24       Impact factor: 3.240

4.  Challenges and opportunities for using population health data to investigate cancer survivors' quality of life in Australia.

Authors:  Imogen Ramsey; Nadia Corsini; Amanda Hutchinson; Julie Marker; Marion Eckert
Journal:  Qual Life Res       Date:  2022-03-04       Impact factor: 3.440

5.  Perceptions of Facilitators and Barriers to Implementation of Falls Prevention Programs in Primary Health Care Settings in China.

Authors:  Pengpeng Ye; Ye Jin; Yuliang Er; Xuejun Yin; Yao Yao; Bingqin Li; Jing Zhang; Rebecca Ivers; Lisa Keay; Leilei Duan; Maoyi Tian
Journal:  JAMA Netw Open       Date:  2022-08-01

6.  Patient-specific record linkage between emergency department and hospital admission data for a cohort of people who inject drugs: methodological considerations for frequent presenters.

Authors:  Rehana Di Rico; Dhanya Nambiar; Belinda Gabbe; Mark Stoové; Paul Dietze
Journal:  BMC Med Res Methodol       Date:  2020-11-27       Impact factor: 4.615

7.  A national initiative in data science for health: an evaluation of the UK Farr Institute.

Authors:  H Hemingway; R Lyons; Q Li; I Buchan; J Ainsworth; J Pell; A Morris
Journal:  Int J Popul Data Sci       Date:  2020-04-08

Review 8.  The Population Health Research Network - Population Data Centre Profile.

Authors:  F Flack; M Smith
Journal:  Int J Popul Data Sci       Date:  2019-11-20

Review 9.  Generating Real-World Evidence on the Quality Use, Benefits and Safety of Medicines in Australia: History, Challenges and a Roadmap for the Future.

Authors:  Sallie-Anne Pearson; Nicole Pratt; Juliana de Oliveira Costa; Helga Zoega; Tracey-Lea Laba; Christopher Etherton-Beer; Frank M Sanfilippo; Alice Morgan; Lisa Kalisch Ellett; Claudia Bruno; Erin Kelty; Maarten IJzerman; David B Preen; Claire M Vajdic; David Henry
Journal:  Int J Environ Res Public Health       Date:  2021-12-18       Impact factor: 3.390

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.