Empirical validation of the New Zealand serious non-fatal injury outcome indicator for ‘all injury’

Author:

Cryer Colin,Davie Gabrielle S,Gulliver Pauline J,Petridou Eleni Th,Dessypris Nick,Lauritsen Jens,Macpherson Alison K,Miller Ted R,de Graaf Brandon

Abstract

Our purpose was to empirically validate the official New Zealand (NZ) serious non-fatal ’all injury' indicator. To that end, we aimed to investigate the assumption that cases selected by the indicator have a high probability of admission. Using NZ hospital in-patient records, we identified serious injury diagnoses, captured by the indicator, if their diagnosis-specific survival probability was ≤0.941 based on at least 100 admissions. Corresponding diagnosis-specific admission probabilities from regions in Canada, Denmark and Greece were estimated. Aggregate admission probabilities across those injury diagnoses were calculated and inference made to New Zealand. The admission probabilities were 0.82, 0.89 and 0.90 for the regions of Canada, Denmark and Greece, respectively. This work provides evidence that the threshold set for the official New Zealand serious non-fatal injury indicator for ’all injury' captures injuries with high aggregate admission probability. If so, it is valid for monitoring the incidence of serious injuries.

Funder

Accident Compensation Corporation

Publisher

BMJ

Subject

Public Health, Environmental and Occupational Health

Reference13 articles.

1. Cryer C , Langley J , Stephenson S . Developing valid injury outcome indicators: a report for the New Zealand Injury Prevention Strategy. Dunedin: University of Otago, 2004:1–141.

2. Developing valid indicators of injury incidence for "all injury"

3. Gulliver P , Cryer C , Davie G . A chartbook for the New Zealand Injury Prevention Strategy serious injury outcome indicators 1994-2009. Dunedin, New Zealand: University of Otago Injury Prevention Research Unit, 2010:1–55. http://psm-dm.otago.ac.nz/ipru/ReportsPDFs/OR089.pdf.

4. Statistics New Zealand. Serious injury outcome indicators – concepts and methods for 2000-11. Wellington, New Zealand: Statistics New Zealand, 2012:1–12. www.stats.govt.nz.

5. World Health Organisation. International statistical classification of diseases and related health problems. 10th revision. Geneva: WHO, 1992.

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