Transcript GRAPHC . National Centre for Geographic & Resources Analysis in Primary Health Care To enhance the capacity of Primary Health Care by using geographically based.

GRAPHC
.
National Centre for
Geographic & Resources Analysis in Primary Health Care
To enhance the capacity of Primary Health Care by
using geographically based tools, methods, data and
web-based mapping platforms to support research
into primary health care.
Paul Konings
National Centre for Geographic & Resource Analysis in Primary Health Care (GRAPHC),
Australian Primary Health Care Research Institute (APHCRI),
Australian National University (ANU)
Credits: Nicholas Glasgow, Kirsty Douglas, Danielle Butler, Bob Wells, Mark Carrozza,
Andrew Bazemore, Bob Phillips, Michael Hewett
Challenges & Opportunities:
Global:
Technology:
Population Growth
Urbanisation
Climate Change
Connectivity
Cloud Computing
GIS
National:
Data:
Aging Population
Rural and Remote
Chronic Disease
Big Data
Access to data
Demography
Open Data
Regional:
Supply & Demand
Budgets
Resources
Variation
Paul Konings: GRAPHC, APHCRI, ANU
Issues:
Privacy & Confidentiality
Expertise
Information / Knowledge
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5 Pillars of effective Health Planning
O. Gudes 2011
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Supply
Demand
Distribution
Access
Utilisation
Medicare Locals:
ML 401:
pop: 534,000
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Local Communities
Connected services
Where: Demand
Where
Where: Services
Where
Where: Gaps
Where
Paul Konings: GRAPHC, APHCRI, ANU
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GRAPHC Resources
Functionality
G-Tag System:
Geo-Attribution /
Geo-Linking
INFRASTRUCTURE
Maps / Visualisations
Data, Data, Data
Paul Konings: GRAPHC, APHCRI, ANU
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G-Tag System Principles
• Small Geography is Important
• Privacy is Critical.
Paul Konings: GRAPHC, APHCRI, ANU
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G-Tag System Principles
• Small geography is Important
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G-Tag System Principles
• Small geography is Important
Socio-Economic Indexes for Areas (SEIFA) is a product developed by the ABS that
ranks areas in Australia according to relative socio-economic advantage and
disadvantage. The indexes are based on information from the five-yearly Census.
SEIFA 2011 is the latest version of this product and consists of four indexes:
The Index of Relative Socio-Economic Disadvantage (IRSD)
The Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD)
The Index of Education and Occupation (IEO)
The Index of Economic Resources (IER).
Each index is a summary of a different subset of Census variables and focuses on a different aspect of
socio-economic advantage and disadvantage.
Paul Konings: GRAPHC, APHCRI, ANU
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G-Tag System Principles
• Small geography is Important
4350, Pop’n: 102,259, IRSAD: 975
4352, Pop’n: 24,802, IRSAD: 1049
West Moreton-Oxley MedicareLocal
Paul Konings: GRAPHC, APHCRI, ANU
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G-Tag System Principles
• Small geography is Important
Postcode = 4350
SA1’s: 264
Avg Pop’n = 387
IRSAD: 765 – 1166
22 x National Decile = 1
12 National Decile = 10
Legend
Toowoomba_SA1_IRSAD
IRSAD Score (N)
0
1 - 906
907 - 983
984 - 1059
1060 - 1166
Paul Konings: GRAPHC, APHCRI, ANU
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G-Tag System: Geo-attribution / Geo-linking
3. Researcher takes de-identified clinical data
including GTAGs & undertakes research enquiry
General Practice
Patient Identifiable Data
2. Register Addresses using
GRAPHC G-Tag Registration tool
Address
GRAPHC Database
De-Identified Clinical Data
GRAPHC G-UI
GTAG
Geo-Attribution /
Geo-Linking / GeoProcessing Tools
2 (a) GRAPHC Server-side geo-coding
NB coordinates are NOT available.
Paul Konings: GRAPHC, APHCRI, ANU
Health Research / Administration
General Practice
1. Extract clinical data using
extraction tool ie Pen- CAT
4. GTAG -> Spatial attributes
using Geo-Attribution or Link
to Statistics via Geo-Linking
GTAG
GRAPHC G-UI
Region ID &/or
Statistical Indicators
5. Review data spatially using
GRAPHC Quick Themes tool
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Case study:
Looks at relationships between diabetes
and socio-economic status.
• We had access to patient clinical records.
• Knowing where patients reside gives us an
indication of their socio economic status.
• What region has the highest spatial resolution
AND SEIFA indicators (SA1).
• Can we convert addresses to SA1 regions.
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G-Tag System Applied
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G-Tag System Applied
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G-Tag System Applied
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G-Tag System Applied
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ABS – Statistical Area 1 versus Postcodes
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GRAPHC Services
Researcher
GRAPHC Work Flow Model
Geo-attributed
Demographic & socio
economic data. CSV
Geo-attributed &
Linked topic data. CSV
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HLA
G-ET
Quick Themes
Map Visualisation
Paul Konings & Michael Hewett: GRAPHC, APHCRI, ANU
G-Tag
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GRAPHC
National Centre for
.
Geographic & Resources Analysis in Primary Health Care
Acknowledgement:
The research reported in this presentation is a product of the Australian Primary
Health Care Research Institute, which is supported by a grant from the Australian
Government Department of Health and Ageing under the Primary Health Care
Research, Evaluation and Development Strategy. The information and opinions
contained in it do not necessarily reflect the views or policies of the Australian
Government Department of Health.
http://GRAPHC.APHCRI.ANU.EDU.AU
Paul Konings
National Centre for Geographic & Resource Analysis in Primary Health Care (GRAPHC),
Australian Primary Health Care Research Institute (APHCRI),
Australian National University (ANU)
Credits: Paul Konings, Michael Hewett