injury indicators examples & questions Dr Don Sinclair South - - PowerPoint PPT Presentation

Some PHE online tools and some traffic injury indicators – examples & questions

Dr Don Sinclair South East Local Knowledge & Intelligence Service

PHE’s Knowledge & Intelligence Function

Purpose – to support health improvement with information for local (and national) decision makers to identify and measure threats to health and variations

• ver time and between places/populations

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Local Knowledge and Intelligence Services liaise with local decision makers

What we want from this event…

To mention some PHE information sources To discuss the development of some indicators for measuring traffic injuries To obtain advice on improving the value and presentation

• f indicators for local decision makers (from a public health

perspective)

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Public Health Profiles

Fingertips

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Health Profiles

Health Profiles

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Fingertips outputs

Maps, charts, PDF reports

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Children killed and seriously injured in RTAs

Health assets profile

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Evolution of PHE’s KSI Indicator

KSI indicator in the Public Health Outcomes Framework was designed to demonstrate variation between local authorities Numerator = number of people of all ages reported killed or seriously injured on the roads in the defined area Necessary to calculate a rate for presentation on PHE’s tools Denominator = Census-based mid-year resident population estimate for the middle year of the indicator period Debate about suitability of denominator i.e. residence vs location

• f injury and potential distortion by size of resident populations

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PHE’s KSI Indicator

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Annual numbers killed or seriously injured on roads per 100,000 resident population, crude rates, 2013-15

Related Indicators

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East Sussex RTA indicators crude rates per 100,000 resident population (per 1000 RTAs for indicator 12.01)

New Denominator Proposal

PHE Knowledge and Intelligence was asked to help local authorities interpret the KSI indicator so they could work to address the causes ONS released an annual report on road lengths: Road lengths in Great Britain: 2015 This provides the lengths of different road types within each upper tier local authority Using this, a KSI rate per 1000km can be calculated

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T

• p 10 Ranking for KSI/1000 km length of

road by upper tier local authority

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KSI per 100,000 resident population

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Annual numbers killed or seriously injured on roads per 100,000 resident population, crude rates, 2013-15

Bottom 10 Ranking

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However…

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Comparing Ranking

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R² = 0.0013 20 40 60 80 100 120 140 160 20 40 60 80 100 120 140 160 New Method Ranking PHOF Ranking

If we do a broad comparison between the new indicator (NB

• nly 1yr of data used)

vs the old indicator (3yr average) we see no relationship.

Mapping the new denominator

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The map on the left shows upper tier local authorities shaded based on deciles of KSI per 1000km of road There is a broad trend towards urban areas having higher rates Is the indicator just showing ‘busy-ness’? Is this a bad thing?

The Deprivation Question

Deprivation is present in urban and rural areas It is also associated with road traffic casualties Driving at excessive speed, driver intoxication, driver/passenger failure to wear seat-belts, and unlicensed/uninsured driving are most prevalent in fatal collisions in the most deprived IMD quintiles

Clarke et al, 2008. A poor way to die: social deprivation and road traffic fatalities http://www.psychology.nottingham.ac.uk/staff/ddc/c8cxpa/further/CR_material/poorwayto die.pdf

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Questions

What does the audience think local authorities might find useful? What tools/methods exist outside public health which could inform local public health teams? What should be prioritised? Any other questions?

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