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Desirable properties for our indicators

Desirable properties for our indicators. Colin Cryer Injury Prevention Research Unit University of Otago New Zealand ICE Business Meeting, Merida, 22 March 2008. Cryer and Langley Document. Indicators of injury incidence Theoretical underpinnings Issues Validation

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Desirable properties for our indicators

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  1. Desirable properties for our indicators Colin Cryer Injury Prevention Research Unit University of Otago New Zealand ICE Business Meeting, Merida, 22 March 2008

  2. Cryer and Langley Document • Indicators of injury incidence • Theoretical underpinnings • Issues • Validation • Proposed “all injury” indicators • Deaths • Hospital inpatient • Hospital ED • Survey • Appendix supplied by Maria Segui-Gomez Colin Cryer, IPRU, University of Otago

  3. Developing injury indicators that can be used to monitor global, regional and local trends:Face validity criteriaCryer C, Langley JInjury Prevention Research Unit, University of Otago, New Zealand;colin.cryer@ipru.otago.ac.nz 3. Overall indicator-related Measurement that is practicable Reflects a well-defined information objective Able to measure change over time or between place Be fully specified (ICE) Timeliness Readily comprehensible 4. Data-related Be based on existing data systems (or it should be practical to develop new data systems) (ICE) Robust to potential or known changes/differences in coding frames or coding practice between places or over time. 1. Numerator-related • Case definition of injury based on diagnosis – on anatomical or physiological damage (ICE)* • Consistent case definition over time or between place • Focus on serious injury (ICE) • Unbiased case ascertainment (ICE) • Derived from data representative of the target population (ICE) 2. Denominator-related (for risk or rate estimates) • Reflect the exposure of the population to relevant injury hazards * Cryer C et al. Injury outcome indicators: the development of a validation tool. Injury Prevention 2005; 11: 53-57

  4. 1. Numerator-related • Case definition of injury based on diagnosis – on anatomical or physiological damage (ICE)* • Consistent case definition over time or between place • Focus on serious injury(ICE) • Unbiased case ascertainment (ICE) • Derived from data representative of the target population (ICE) Colin Cryer, IPRU, University of Otago

  5. 2. Denominator-related • Reflect the exposure of the population to relevant injury hazards. • Options • No denominator • Average population at risk • Census population, age-standardised • Other • Eg. MVTC • Rate per 10,000 people • Rate per 100,000 vehicles • Rate per 1,000,000 kms driven Colin Cryer, IPRU, University of Otago

  6. 3. Overall indicator-related • Measurement that is practicable • Reflects a well-defined information objective • Able to accurately reflect change over time or differences between place • Be fully specified (ICE) • Timeliness • Readily comprehensible Colin Cryer, IPRU, University of Otago

  7. 4. Data-related • Be based on existing data systems • (or it should be practicable to develop new data systems) (ICE) • Robust to potential or known changes / differences in coding frames or coding practice between places and over time. • Data source accurately captures key data • Eg. diagnosis, external cause, age, sex, ethnic group. Colin Cryer, IPRU, University of Otago

  8. Properties to bear in mind (particularly) when identifying indicators • Data source accurately captures key data • Focus on injury that is serious / consequential • Unbiased case ascertainment • Reflect the exposure of the population to relevant injury hazards • Able to accurately reflect change over time or differences between place. Colin Cryer, IPRU, University of Otago

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