1 Harnessing ICT-based Tool for Improving the Collaborative Health Planning Debate; the Case of Logan- Beaudesert, Australia Presenters: * Ori Gudes –

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Harnessing ICT-based Tool for Improving the Collaborative Health Planning Debate; the

Case of Logan- Beaudesert, Australia

Presenters:

* Ori Gudes – Griffith University & QUT

The study is Supervised by: Tan Yigitcanlar, Elizabeth Kendall and Virendra Pathak

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Geospatial Revolution clip

Geospatial Revolution clip

http://www.youtube.com/watch?v=ZdQjc30YPOk&feature=channel

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Aims of the Study

To examine the role of decision support systems as a mechanism to facilitate collaborative health decision-making

To develop a potential information management framework to underpin a health decision support system

To generate a participatory process to create an online tool for health planners using geographic information systems (GIS)

To measure and understand the impact and effectiveness of decision support systems on health decision-makers / health planners

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Problems to address

Lack of an effective information in health planning Lack of collaboration in decision-making practice Lack of evidence in decision-making processes

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Decision support systems (DSS) are set of solution mechanisms that help all forms of decision makers to assess complex decision-making processes and to solve problems faced by the help of ICT tools (Shim et al., 2002).

DSS aims to Improve efficiency of decisions made by stakeholders Optimise their overall performance Minimise judgemental biases

Turban, 1990

Decision Support Systems

Health Decision Support System

Knowledge Sharing

Public Participation

Evidence-based Policy

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How our data collection efforts have been grounded?

Fundamental / macro level

most difficult to influence greatest benefits achieved

Intermediate / meso level more easily influenced

Proximate / micro level

level where we usually work least effective necessary for planning have been given greater scientific

attention in recent years

Individual level targeting disease not most successful influence the individual habitués.

Health assessment framework Schulz and Northridge (2004)

This framework summarises thedifferent levels of factors that impact upon health and,therefore, should be considered in health planning initiatives.

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Our DatasetFundamental Macro Level Intermediate Meso Level Proximate Micro Level Individual Outcome Level

Public HousingPublic Housing

Public transportationBus stationsBus routesRailway StationsRailway routes

Health Behaviours and Social SupportPhysical activitySocial supportDietary practice (BMI Index)

Health OutcomesChild health dataObesityCancerMental healthRespiratory health (Asthma)Cardio-vascularDiabetesCommunicable diseaseAvoidable admissionsHospital admissions (the following diseases: Depression, Renal, Diabetes, Respiratory)

Demographic PopulationProjected populationMortality rateIndigenous Multicultural (Clustered Nationalities)NationalitiesMortality

Health facilitiesPharmaciesAged careBreast ScreenChild Health (paediatric)Medical ServicesMental healthOral healthPublic hospitalsPrivate hospitalsGP’sMedicare

Well-BeingHope / despairLife satisfaction or life styleHappiness and self fulfilmentDisabilityHealth status

Socio EconomicSEIFA IndexUnemployment’s rateIncome average and financial resourcesInternet accessEducationBusinesses by Industry DivisionPublic HousingHas need for assistance with core activities

Education FacilitiesChild community ServicesHigher educationLibrariesSchoolsSpecial educationState Pre SchoolYouth clubsPlay groupsUniversities / TAFE

CrimeCrime rate (based on the Australian Standard Offence Classification)

Community facilitiesCommunity centresCommunity facilitiesCommunity WelfareEmployment servicesReligious institutionsServices clubsSocial clubsSporting clubsYouth clubsSchools, State, Non-state schoolsCentre link offices

BoundariesStatistical Local AreaPostcodeSuburb

RecreationParksCity swimming poolsSporting facilitiesCycling paths

EnvironmentalBiodiversity and Contaminated landEnvironmental hazards

EmergencyPolice FireFireAmbulance

TerrainAerial images (Orthophoto)Topography (DEM)Contour

OtherShopping centresNon profit organisationsFast food outlets

RoadsMajor roadsStreets

Our Spatial Dataset

(derived from Schulz and Northridge 2004 )

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HDSS Data Sources

Internet and public domain

EPA

Scenic RimRegional Council

Logan City Council

Queensland Health

QLD Police

Others

ABS

Data Sources forThe HDSS

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Why should we use DSS? Our Conceptual framework

Bringing together diverse datasets using a spatial methodology

to empower stakeholders in

planning for healthy communities

How the HDSS will be used ?

Pre DSS intervention survey

The quantitative data was collected using a 31-item survey based on several decision-making scales (Dean & Sharfman, 1993; Flood et al, 2000; Bennet et al, 2010; Parnell & Bell, 1994). The items measured the following dimensions of decision-making:

Evidence-based decision-making; Perceived consensus; Participation in decision-making; Perceived satisfaction of decision-making;Perceived importance of decision-making Perceived effectiveness of decision-making; andPerceived equity of decision-making;

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Where are we?

South East Queensland

South of Brisbane City

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Population: 270,000

31 SLAs

1 in 4 smokers

13% high risk alcohol

66% overweight

LBHC structure

A collaborative arrangement

between government

and non-government agencies, the

private sector and community to develop and deliver health programs and

services

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Accessibility to hospitals based on

travel time

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Fast-food outlets and their proximity to schools

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Hotpot analysis based on people who admitted to hospitals with diabetes

* (Based on Logan-Beaudesert Hospitals data 2005-2007)

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Accessibility to internet as key variable for future E-health initiatives and planning

Preliminary findings from the Pre DSS survey

• Low levels of satisfaction with the decision-making processes across the LBHC.

• There was some diversity across the components of the LBHCSome groups within the LBHC were more satisfied than others (i.e., those who were over 40 years). There was also a tendency for LBHC board members, males, new members and veterans to be more satisfied with information and perceive higher levels of consensus, participation and evidence-based decision-making.

• There was an overall sense that decisions were ineffective, presumably because they were not based on information or evidence.

Conclusion from the Pre DSS survey findings

• New members are enthusiastic, but become more critical of decision-making over time and then eventually resolve this situation in some way – either by withdrawing or seeking other sources of information).

• Age of members had an important influence on the way decision-making was perceived. It is possible that younger people could be more demanding in terms of their need for involvement in the decision-making processes, whereas veterans are likely to have access to more intrinsic sources of information based on years of experience in the region. As a result, they may be less demanding of the decision-making processes.  

Overall discussion

In summary, our findings have shown that: There was considerable diversity in the way decision-making were perceived, this, in turn, may require different approaches to health planning across different groups.  The findings have also highlighted the need for a comprehensive information framework and collaborative process to underpin planning for healthy cities, thus enabling health coalitions to make effective decisions that engage all stakeholders equitably. The framework proposed in this paper would not only encourage planners to engage with evidence and information about the entire range of health determinants, but would also provide a platform for collaboration and shared engagement in the decision-making process.

Future Research

Unanswered questions:

• How the suggested framework and method are actually applied in local communities

• The impact of the HDSS on decision-making and its ability to facilitate collaborative-based health planning debate

These important research questions shall be addressed as we conduct the next phases in this ongoing project.

HDSS Where to from here, challenges and practicalities for Logan council?

Prototype development stage – phase 1 HDSS expanding usage to the

whole public – phase 3

Phase 2

Dataset update (ABS) and HDSS expanding usage to the whole LBHC

National level / collaboration with other bodies within QLD and West Australia or CRC-SI

Dec 2010Dec 2010 Nov 2011Nov 2011 Nov 2012Nov 2012 Nov 2014Nov 2014

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“”Maps can show you where you are.

But a good map can also show you where you want to go, and what needs to happen so that you can get there”

(http://www.mappingforchange.org.uk/, 2009)

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