Parallel Session 4

Thursday 25 August | 10:30 – 12:30

  Data Linkage Quality (A) Data Linkage Quality (B) Applied Projects Privacy Regulation Governance Advanced Analytics Public Engagement







Session Chair

Andrew Morris

Dermot O'Reilly

Sallie Pearson

Chris Dibben

Tjeerd van Staa

Catharine Goddard

10:30 - 10:50

Panning for gold: finding medical treatment data in insurance records

Daniel Avery
University of Oxford

How do you measure up? Methods to assess linkage quality

James Boyd
Curtin University

Data linkage and statistical modelling to provide stratified risk assessment for HAI

Kim Kavanagh
University of Strathclyde

Balancing Privacy and Utility in Secondary Data Use to Inform Policy

Xinjie Cui
Alberta Centre for Child Family and Community Research, Canada

Advanced methods for linking complex historical birth, death, marriage and census data

Peter Christen
Research School of Computer Science, The Australian National University

Public understanding of, and attitudes towards, data linkage in research

Gwenllian Moody and Fiona Lugg
South East Wales Trials Unit, Cardiff University

10:50 - 11:10

Linking Federal Administrative Records to Respondents and Nonrespondents in Household Surveys: A Case Study

Joseph Sakshaug
University of Manchester and German Institute for Employment Research

Viral aetiology of acute lower respiratory infections in a birth cohort of Western Australian children

Hannah C Moore
Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, The University of Western Australia

Alcohol-related injury admission trends in adolescents: A comparison between Western Australia and England

Scott Sims
Telethon Kids Institute

K-Anonymity Based Privacy Risk Budgeting System for Interactive Record Linkage

Hye-Chung Kum
Texas A&M University

Data-driven drug safety signal detection methods in pharmacovigilance using electronic primary care records: A population based study

Shang-Ming Zhou
Swansea University Medical School

Social and geographical inequalities in school starting age in Australia: a population data linkage study

Mark Hanly
UNSW Australia

11:10 - 11:30

Bringing more science to the art of linkage: Using positive predictive value of weight and outcome sets to reduce subjectivity in probabilistic linkage

Brent Hills
Population Data BC

Implementing privacy-preserving record linkage: welcome to the real world

Adrian Brown
Curtin University

Child Injury: Does home matter?

Cate Cameron
Menzies Health Institute Queensland, Griffith University, Australia

Multiple operating models for data linkage: A privacy positive

Katie Irvine
Centre for Health Record Linkage, NSW Health, Australia

Low-density lipoprotein cholesterol and atrial fibrillation; A Mendelian randomization study using UK-Biobank data

Michail Katsoulis
Farr Institute of Health Informatics Research/University College London

Out of the mouths of researchers: experiences of involvement

Anne McKenzie
The University of Western Australia

11:30 - 11:50

Using linked records to improve National estimates of hospital admissions for coronary heart disease (CHD)

Derrick Lopez
School of Population Health, The University of Western Australia

Conducting Population Health Intervention Research using Linked Databases: An Evaluation of Home Visiting Programs for At-Risk Families

Marni Brownell
Manitoba Centre for Health Policy, University of Manitoba

Using probabilistically linked data to investigate the burden of Respiratory Syncytial Virus (RSV) in children <5 years of age on secondary care in england

Rachel Reeves
The Farr Institute

From a culture of caution to a culture of confidence: facilitating the good governance of administrative data in the UK

Leslie Stevens
ADRC Scotland, J Kenyon Mason Institute for Medicine, Life Science and the Law, University of Edinburgh School of Law

Improving the Accuracy of Length of stay Risk Adjustment Models using Linked Data

Tolu Sajobi
University of Calgary

The ADRN and the public’s voice: making administrative data available for research while gaining public trust

Ilse Verwulgen
Administrative Data Research Network

11:50 - 12:10

Business datasets and record linkage: Correlates of linkage and estimating risks of non-linkage biases

Jamie Moore
Department of Social Statistics and Demography and ADRCE, University of Southampton

Effect of sampling period on the numbers of children and young people with a life limiting condition in stable, unstable, deteriorating and dying stages

Stuart Jarvis
University of York

Case definitions for common mental health disorders among adolescents using electronic primary care data: a comparison with self-reported data from ALSPAC

Rosie Cornish
School of Social and Community Medicine, University of Bristol

Preserving Privacy in the Face of Clients with Different Data Needs Using the NGLMS

James Farrow
Farrow Norris / SANT DataLink

Developing a checklist to inform data linkage study designs for health technology assessments: a case study linking the Cardiac Rhythm Management (CRM) register to the Secure Anonymised Information Linkage (SAIL) Databank

Ruth Louise Poole
Cedar, Cardiff & Vale University Health Board

Educational outcomes are predictive of mental health diagnoses in adolescence

Janice Wong
Telethon Kids Institute, School of Psychology, University of Western Australia

12:10 - 12:30

Geocoding routinely collected administrative data to measure access to alcohol outlets in Wales

Richard Fry
Farr Institute CIPHER

The impact of cycle proficiency training on cycle-related behaviours and accidents in adolescence: findings from ALSPAC, a UK longitudinal cohort

Alison Teyhan
University of Bristol

Transforming children’s futures: the challenges and benefits of using data linkage to improve the planning of children’s services within Scotland

Harriet Waugh
Scottish Government

Data linkage of Psychiatric and Maternity data to investigate the pregnancy outcomes of women with Non-affective Psychosis in Scotland

Paula McSkimming
Robertson Centre for Biostatistics, University of Glasgow

#BritainBreathing: Codesigned citizen science to map seasonal allergy symptoms across the UK

Lamiece Hassans
The University of Manchester