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Effective use of GIS to analyse deprivation hotspots This solution provides evidence based decision making, and helps avoid misdirection of funding. “GIS helps us tackle health inequalities.” Paul Fryers, Public Health Specialist, Head of Doncaster Public Health Intelligence Unit, Doncaster East PCT. Addressing health inequalities is a key element in the NHS 10 year plan. GIS is being used in Doncaster to analyse deprivation hotspots and areas with specific health issues. As a result, the village of Stainsforth has been identified as an extremely deprived area within an otherwise affluent ward. This exercise has helped in overcoming ward based statistics, and the visual nature of presenting information using geography has helped in communicating this information. Directly standardised rate per 100,000 resident population M ortality from C ancerin under75s,1996–2000 Spatially sm oothed directly standardised rates S ource:D oncasterPublic H ealth Intelligence U nit © O rdnance Survey 2002

Effective use of GIS to analyse deprivation hotspots

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Page 1: Effective use of GIS to analyse deprivation hotspots

Effective use of GIS to analyse deprivation hotspots

This solution provides evidence based decision making, and helps avoid misdirection of funding.

“GIS helps us tackle health inequalities.” Paul Fryers, Public Health Specialist, Head of Doncaster Public Health Intelligence Unit, Doncaster East PCT.

Addressing health inequalities is a key element in the NHS 10 year plan. GIS is being used in Doncaster to analyse deprivation hotspots and areas with specific health issues. As a result, the village of Stainsforth has been identified as an extremely deprived area within an otherwise affluent ward. This exercise has helped in overcoming ward based statistics, and the visual nature of presenting information using geography has helped in communicating this information.

Directly standardised

rate per 100,000 resident

population

Mortality from Cancer in under 75s, 1996–2000

Spatially smoothed directly standardised rates

Source: Doncaster Public Health Intelligence Unit

© Ordnance Survey 2002