Geospatial Revolution clip

1. Harnessing ICT-based Tool for Improving the Collaborative Health Planning Debate; the Case of Logan- Beaudesert, AustraliaPresenters:* Ori Gudes – Griffith University & QUT The study is Supervised by: Tan Yigitcanlar, Elizabeth Kendall and Virendra Pathak

2. Geospatial Revolution clip • Geospatial Revolution clip • http://www.youtube.com/watch?v=ZdQjc30YPOk&feature=channel

3. 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

4. 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 4

5. Decision Support Systems Health Decision Support System Knowledge Sharing Evidence-based Policy Public Participation • 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

6. 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. This framework summarises the different levels of factors that impact upon health and, therefore, should be considered in health planning initiatives. Health assessment framework Schulz and Northridge (2004)

7. Our Dataset Our Spatial Dataset (derived from Schulz and Northridge 2004) 7

8. HDSS Data Sources 8

9. Why should we use DSS? Our Conceptual framework How the HDSS will be used ? Bringing together diverse datasets using a spatial methodology to empower stakeholders in planning for healthy communities 9

10. 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; and Perceived equity of decision-making;

11. Where are we? South East Queensland South of Brisbane City --------------- Population: 270,000 31 SLAs 1 in 4 smokers 13% high risk alcohol 66% overweight 11

12. LBHC structure A collaborative arrangement between government and non-government agencies, the private sector and community to develop and deliver health programs and services

13. Accessibility to hospitals based on travel time 13

14. Fast-food outlets and their proximity to schools 14

15. Hotpot analysis based on people who admitted to hospitals with diabetes * (Based on Logan-Beaudesert Hospitals data 2005-2007) 15

16. Accessibility to internet as key variable for future E-health initiatives and planning 16

17. 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 LBHC • Some 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.

18. 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.

19. 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.

20. 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.

21. 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 Dec 2010 Nov 2011 Nov 2012 Nov 2014 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

22. “”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)`