Measuring Non-Fatal Road Injuries AIPN 2017 Conference, James - - PowerPoint PPT Presentation

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Measuring Non-Fatal Road Injuries AIPN 2017 Conference, James - - PowerPoint PPT Presentation

A National Approach to Measuring Non-Fatal Road Injuries AIPN 2017 Conference, James Harrison Ballarat, 13-15 November Angela Watson 2017 Kirsten Vallmuur Tim Risbey Background Data on non-fatal road injuries, as well as deaths, should


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SLIDE 1

A National Approach to Measuring Non-Fatal Road Injuries

James Harrison Angela Watson Kirsten Vallmuur Tim Risbey

AIPN 2017 Conference, Ballarat, 13-15 November 2017

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SLIDE 2

Background

  • Data on non-fatal road injuries, as well as deaths, should guide

programs

  • Available data on non-fatal cases are insufficiently complete

and reliable

  • Improvement was foreshadowed in the National Road Safety

Strategy Review and action plan

  • Linkage of crash data with health sector data has potential to

provide better information

  • Consistent approach and cross-border flows
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SLIDE 3

Aim

Provide proof of concept for a national approach to

  • btaining routine national data on non-fatal hospitalised

road injuries in Australia, using data linkage

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SLIDE 4

Objectives

  • 1. Learn whether relevant ethics committees and data

custodians will allow the required use of data. Seek necessary approvals.

  • 2. Test the technical feasibility of the method by applying it to
  • ne year of data.
  • 3. Assess the utility of the linked data.
  • 4. Communicate the results.
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SLIDE 5

Data Sources

  • National Death Index
  • New South Wales
  • CrashLink
  • NSW Admitted Patient Data Collection
  • Queensland
  • Queensland Road Crash Database
  • Queensland Hospital Admitted Patients

Data Collection

  • Victoria
  • Road Crash Information System
  • Victorian Admitted Episodes Dataset
  • Western Australia
  • Integrated Road Information System
  • Morbidity Data System
  • South Australia
  • Traffic Accident Reporting System
  • South Australia Inpatient Hospital

Separations

  • Tasmania
  • Crash Data Manager
  • Tasmanian Public Hospital Admitted

Patient Data Collection

  • Australian Capital Territory
  • Territory and Municipal Services (TAMS)

crash database

  • Admitted Patient Care Data
  • Northern Territory
  • Northern Territory Road Crash Data
  • Northern Territory Inpatient Activity
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SLIDE 6

Approach

  • Ethics committee and data custodian approvals are required in

each jurisdiction, from the Australian Institute of Health and Welfare (for NDI data) and the participating universities.

  • The process being used is consistent with the separation

principle that underpins the health data linkage framework in Australia.

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SLIDE 7

Data linkage

Hospital data custodian Researchers National Death Index SURE Crash data custodian AIHW data linkage

Identifiers and Project ID Project ID and content data Project Linkage Key and Project ID Authorised researchers will access non-identifying data via the Secure Unified Data Environment (SURE)

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SLIDE 8

Approval progress

Jurisdiction Ethics approval Hospital data custodian approval Crash data custodian approval New South Wales ✔ ✔ ✔ Queensland ✔ ✔ ✔ Australian Capital Territory ✔ ✔ ✔ Victoria ✔ ✔ ✔ South Australia ✔ ✔ ✔ Tasmania ✔ ✘ ✔ Northern Territory ✔ Western Australia + Flinders University and Queensland University of Technology ethics approval + AIHW ethics and custodian approval for NDI

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SLIDE 9

Data flow update

Jurisdiction Hospital data to AIHW Crash data to AIHW Hospital data to SURE Crash data to SURE New South Wales ✔ ✔ ✔ ✔ Queensland ✔ ✔ ✔ ✔ Australian Capital Territory ✔ ✔ Victoria ✔ ✔ South Australia ✔ Tasmania ✔ Northern Territory Western Australia + National Death Index in SURE

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SLIDE 10

Findings so far

  • Learn whether relevant ethics committees and data custodians

will allow the required use of data

  • Ethics committees ✔
  • Data custodians ✔
  • Approval is for a non-identifying model of linkage only
  • No identifying data is provided to the researchers
  • Ethics committees and hospital data custodians will not approve

content data being provided with identifiers included

  • Approval & data supply process was slow (20 months)
  • Similar to the few comparable projects
  • Likely to be quicker if repeated for other data-years
  • Linkage process and supply SURE much faster
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SLIDE 11

Linkage and analysis

  • Two rounds of linkage
  • 1. NDI, Queensland crash and hospital, and NSW crash and hospital

Linkage is completed and content data is in SURE for analysis

  • 2. Data from the first round and any additional data sets that are

provided to the AIHW data linkage unit by end of November

  • Final report due March 2018
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SLIDE 12

Questions

Contact angela.watson@qut.edu.au james.Harrison@flinders.edu.au