scholarly journals Centre for Health Record Linkage

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Katie Irvine ◽  
Rick Hall ◽  
Lee Taylor
Keyword(s):  
Record Linkage ◽  
Linked Data ◽  
Best Practice ◽  
Data Linkage ◽  
New South ◽  
Data Driven ◽  
Health Record ◽  
Data Governance ◽  
South Wales ◽  
Data Informed

ContextThe Centre for Health Record Linkage (CHeReL) was established in 2006 as a dedicated health and human services data linkage facility for two Australian jurisdictions, New South Wales and the geographically-nested Australian Capital Territory. The two jurisdictions have their own Governments and separate Health and Human Service systems. Purpose and OperationsThe primary purpose of the CHeReL is to make linked administrative and routinely collected healthdata available to researchers and government within relevant regulatory and governance frameworks.The CHeReL’s data governance and technical operations draw on international best practice andhave been refined by learnings from other data linkage centres. OutcomesOver twelve years of operation, more than 2,320 unique investigators from 140 institutions haveused the CHeReL, producing 615 publications in peer-reviewed literature. A robust pipeline of newdevelopment is expected to further amplify the use of linked data for cutting edge medical researchand support a vision of data-informed policy and data-driven government services.

scholarly journals Record Linkage Methodology for the Social Data Linkage Environment at Statistics Canada

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Colin Babyak ◽  
Abdelnasser Saidi
Keyword(s):  
Computational Complexity ◽  
Record Linkage ◽  
False Positive ◽  
Linked Data ◽  
Data Linkage ◽  
Social Data ◽  
Probabilistic Record Linkage ◽  
The Social ◽  
Data Source ◽  
Statistics Canada

ABSTRACTObjectivesThe objectives of this talk are to introduce Statistics Canada’s Social Data Linkage Environment (SDLE) and to explain the methodology behind the creation of the central depository and how both deterministic and probabilistic record linkage techniques are used to maintain and expand the environment.ApproachWe will start with a brief overview of the SDLE and then continue with a discussion of how both deterministic linkages and probabilistic linkages (using Statistic Canada’s generalized record linkage software, G-Link) have been combined to create and maintain a very large central depository, which can in turn be linked to virtually any social data source for the ultimate end goal of analysis.ResultsAlthough Canada has a population of about 36 million people, the central depository contains some 300 million records to represent them, due to multiple addresses, names, etc. Although this allows for a significant reduction in missing links, it raises the spectre of additional false positive matches and has added computational complexity which we have had to overcome.ConclusionThe combination of deterministic and probabilistic record linkage strategies has been effective in creating the central depository for the SDLE. As more and more data are linked to the environment and we continue to refine our methodology, we can now move on to the ultimate goal of the SDLE, which is to analyze this vast wealth of linked data.

The protocols for koala research using radio-collars: a review based on its application in a tall coastal forest in New South Wales and the implications for future research.

2006 ◽  
Vol 28 (2) ◽  
pp. 187 ◽  
Author(s):  
S. L. Radford ◽  
J. McKee ◽  
R. L. Goldingay ◽  
R. P. Kavanagh
Keyword(s):  
Best Practice ◽  
New South ◽  
New South Wales ◽  
Future Research ◽  
Radio Tracking ◽  
Research Committee ◽  
Phascolarctos Cinereus ◽  
Current Form ◽  
South Wales ◽  
Pine Creek

In 1996, guidelines were produced for capture and radio-tracking protocols for koala (Phascolarctos cinereus) research within New South Wales (NSW). An integrated project commenced in 1998 to examine P. cinereus ecology and health status in Pine Creek State Forest. This project utilised intensive clinical and pathological assessment protocols on captured P. cinereus in combination with radio-tracking and ecological investigations. The methods used in this project were referred to the NSW Koala Research Committee (KRC) for review in mid 1999 due to the political profile of the study area. The KRC assessed the project protocols and reviewed the original guidelines incorporating some of the protocols used in the Pine Creek project. The outcome is a new set of protocols for P. cinereus research within NSW which are more explicit and restrictive than those applied to P. cinereus research elsewhere or to research on other species. In their current form the new guidelines require a substantial investment in time, equipment, personnel and finance; factors that may deter or restrict future, comprehensive ecological research on P. cinereus populations. They inadequately provide for some practices we believe important in minimising the invasiveness of P. cinereus capture. We propose amendments to the guidelines in the areas of personnel required, behavioural assessment, capture methods, processing safety and tracking frequency. We suggest that these amendments will render the guidelines more accessible to a broader range of projects, and easier to apply under field conditions while preserving the intent to maintain P. cinereus welfare and research best practice.

Troponin measurements, myocardial infarction diagnoses and outcomes. An analysis of linked data from New South Wales, Australia

2020 ◽  
Vol 50 (5) ◽  
pp. 550-555
Author(s):  
John French ◽  
David Brieger ◽  
Craig Juergens ◽  
Bernadette Costa ◽  
Bridie Carr ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Linked Data ◽  
New South ◽  
New South Wales ◽  
South Wales

Incidence and outcomes of aortic dissection for emergency departments in New South Wales, Australia 2017–2018: A data linkage study

2020 ◽  
Vol 32 (4) ◽  
pp. 599-603 ◽  
Author(s):  
Michael M Dinh ◽  
Kendall J Bein ◽  
John Delaney ◽  
Saartje Berendsen Russell ◽  
Tim Royle
Keyword(s):  
Aortic Dissection ◽  
Emergency Departments ◽  
Data Linkage ◽  
New South ◽  
New South Wales ◽  
Linkage Study ◽  
South Wales

scholarly journals The effect of cross-jurisdictional linked hospital and death data on estimating risk-adjusted grouped hospital standardised mortality ratios in Australia

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Katrina Spilsbury ◽  
Anna Ferrante ◽  
Diana Rosman ◽  
Janine Alan ◽  
James Boyd ◽  
...  
Keyword(s):  
Data Linkage ◽  
New South ◽  
New South Wales ◽  
South Australia ◽  
Hospital Inpatient ◽  
Private Hospitals ◽  
Cross Border ◽  
South Wales ◽  
Standardised Mortality Ratios ◽  
Death Data

ABSTRACT ObjectivesThe Population Health Research Network (PHRN) was established to increase data linkage capacity in Australia. A proof of concept study investigating cross border hospital use and hospital mortality was undertaken to demonstrate the effectiveness of increased data linkage capacity in supporting nationally significant health research. The objective of this study was to evaluate whether cross-jurisdictional linkage of hospital and death records across Australian states could refine estimation of Hospital Standardised Mortality Ratios (HSMRs). ApproachIn Australia, administrative hospital and death data are collected by individual state governments. The newly established Centre for Data Linkage created a cross-jurisdictional linkage key that brought together hospital and death records belonging to individuals across four Australian states over a five year period (1st July 2004 – 30th June 2009). Hospital inpatient records from public, psychiatric and private hospitals and private day surgery centres were provided by New South Wales, Western Australia and Queensland. South Australia provided public hospital inpatient records only. The linked data underwent extensive cleaning and standardisation to improve the validity of interstate comparisons. The final cohort comprised 7.7 million hospital patients. In-hospital deaths and deaths within 30 days of hospital discharge from the four state jurisdictions were used to estimate the SMR of hospital groups defined by geography and type of hospital (grouped HSMR) under three record linkage scenarios; 1) cross-jurisdictional person-level linkage, 2) within-jurisdictional (state-based) person-level linkage and 3) unlinked records. All public and private hospitals in New South Wales, Queensland, Western Australia and public hospitals in South Australia were included in this study. Death registrations from all four states were obtained from state-based registries of births, deaths and marriages. Results Cross-jurisdictional linkage identified 11,116 cross-border hospital transfers of which 170 resulted in a cross-border in-hospital death. An additional 496 cross-border deaths occurred within 30 day of hospital discharge. The inclusion of cross-jurisdictional person-level links to unlinked hospital records reduced the coefficient of variation amongst the grouped HSMRs from 0.19 to 0.15; the inclusion of 30 day deaths reduced the coefficient of variation further to 0.11. There were minor changes in grouped HSMRs between cross-jurisdictional and within-jurisdictional linkages, although the impact of cross-jurisdictional linkage increased when restricted to geographic regions with high cross-border hospital use such as the New South Wales and Queensland border area. ConclusionCross-jurisdictional data linkage modified estimates of grouped HSMRs, particularly for hospitals groups that were likely to receive a high proportion of cross-border users.

scholarly journals Developmental vulnerability at age five among children who enter and progress through the child protection system in New South Wales, Australia: a cross-sectoral data linkage study

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Kathleen Falster ◽  
Mark Hanly ◽  
Rhiannon Pilkington ◽  
Marilyn Chilvers ◽  
Elizabeth Whittaker ◽  
...  
Keyword(s):  
Early Childhood ◽  
Child Protection ◽  
Data Linkage ◽  
New South ◽  
New South Wales ◽  
Population Level ◽  
Protection System ◽  
Similar Data ◽  
Targeted Interventions ◽  
South Wales

IntroductionA recent independent review of the child protection system in New South Wales (NSW), Australia, highlighted the need for whole-of-government reform to improve outcomes for children at risk of, or experiencing, maltreatment. Population-level evidence on outcomes of children who enter and progress through the child protection system is currently lacking. Objectives and ApproachWe aimed to quantify developmental vulnerability at age five among children who enter and progress through the child protection system during early childhood to demonstrate the value of cross-sectoral data linkage to inform and evaluate policy at a population-level. We used Australian Early Development Census (AEDC) data linked to cross-sectoral population datasets in NSW, including birth registrations, perinatal, and child protectionnotification and out-of-home care (OOHC) placement data. Linked AEDC data, collected in 2009 and 2012, areavailable for 153,670 NSW children. Socio-demographic and perinatal characteristics available in the linked data were used to characterise the population. Results21,179 (13.9%) children had ≥1 ‘screened in’ notification, 4927 (3.2%) had ≥1 substantiated abuse and neglect notification, and 2177 (1.4%) had ≥1 OOHC placement before their fifth birthday. Indicators of disadvantage and adverse birth outcomes were more common among children who progressed to higher levels of the child protection system. The proportion developmentally vulnerable on ≥1 domains of the AEDC increased for children who entered and progressed through the child protection system; from 21% of children with no contact with child protection before age five, to 39% of children with ≥1 ‘screened in’ notification, 50% with ≥1 substantiated notification, and 54% with ≥1 OOHC placement before their fifth birthday. Comparison of findings from other Australian jurisdictions with similar data will be discussed. Conclusion/ImplicationsThis study demonstrates there is scope to improve developmental outcomes through targeted interventions among children who become known to child protection during early childhood in NSW. Moreover, it illustrates that cross-sectoral data linkage can be used to inform and evaluate policy reforms to drive better outcomes for vulnerable children.

scholarly journals Group programs in corrections. Best practice meets real world

2014 ◽  
Vol 12 (3) ◽  
pp. 93-109
Author(s):  
Kevin O'Sullivan
Keyword(s):  
Best Practice ◽  
New South ◽  
New South Wales ◽  
Cultural Shift ◽  
Probation And Parole ◽  
South Wales ◽  
Offender Supervision ◽  
Large Organisation ◽  
Group Programs ◽  
Systematic Data Collection

The past decade has seen a very significant cultural shift in how group programs are delivered in prisons and in probation and parole settings in New South Wales, Australia. The agency responsible for custodial and community corrections services, Corrective Services New South Wales (CSNSW) is making its way from a culture of considerable autonomy, where staff largely wrote and ran group programs in the way that seemed best to them, to an organisation where systems exist for accreditation, training, supervision and systematic data collection. The transformation to model agency is not complete, but considerable progress has been made and this is borne out by the preparation and publication of a number of significant papers describing the outcomes of program interventions. This paper appraises the progress so far in the introduction of evidence-based group work and offers some reflections on the challenges faced in moving a large organisation concerned with security and offender supervision towards best practice in group rehabilitative programs.

Vulvoplasty in New South Wales, 2001–2013: a population‐based record linkage study

2016 ◽  
Vol 205 (8) ◽  
pp. 365-369 ◽  
Author(s):  
Amanda J Ampt ◽  
Vijay Roach ◽  
Christine L Roberts
Keyword(s):  
Record Linkage ◽  
New South ◽  
New South Wales ◽  
Population Based ◽  
Linkage Study ◽  
South Wales

Innovative use of data sources: A Cross-sectional study of Data Linkage Practices across European Countries

2020 ◽  
Author(s):  
Romana Haneef ◽  
Marie Delnord ◽  
Michel Vernay ◽  
Emmanuelle Bauchet ◽  
Rita Gaidelyte ◽  
...  
Keyword(s):  
Public Health ◽  
Health Information ◽  
Linked Data ◽  
Public Health Surveillance ◽  
Data Linkage ◽  
Health Surveillance ◽  
European Countries ◽  
Data Sources ◽  
Data Governance ◽  
Use Of Data

Abstract Background The availability of data generated from different sources is increasing with the possibility to link these data sources together. However, linked administrative data can be complex to use and may require advanced expertise and skills in statistical analysis. The main objectives of this study were to describe the current use of data linkage at the individual level and the artificial intelligence (AI) in routine public health activities, and to identify the related health outcome and intervention indicators and determinants of health for non-communicable diseases. Method We performed a survey across European countries to explore the current practices applied by national institutes of public health and health information and statistics for innovative use of data sources (i.e., the use of data linkage and/or the AI). Results The use of data linkage and the AI at national institutes of public health and health information and statistics in Europe varies. The majority of European countries use data linkage in routine by applying a deterministic method or a combination of two types of linkages (i.e., deterministic & probabilistic) for public health surveillance and research purposes. The use of AI to estimate health indicators is not frequent at national institutes of public health and health information and statistics. Using linked data, 46 health outcome indicators related to seven health conditions, 34 indicators related to determinants and 23 to health interventions were estimated in routine. Complex data regulation laws, lack of human resources, skills and problems with data governance, were reported by European countries as obstacles to link different data sources in routine for public health surveillance and research. Conclusions Our results highlight that the majority of European countries have integrated data linkage in routine public health activities but a few use the AI. A sustainable national health information system and a robust data governance framework allowing to link different data sources are essential to support evidence-informed health policy development process. Building analytical capacity and awareness of the added value of data linkage in national institutes is necessary for improving the utilization of linked data in order to improve the monitoring of public health activities.

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