Developing valid indicators of injury incidence for “all injury”

Background/aims: This paper focuses on the methods used to develop indicators for “all injury” incidence for the New Zealand Injury Prevention Strategy (NZIPS), launched in June 2003. Existing and previously proposed New Zealand national non-fatal injury indicators exhibited threats to validity. Population/setting: The total population of New Zealand. Methods: The authors proposed fatal and new non-fatal injury indicators for “all injury” based on national mortality and hospitalizations data. All of the candidate indicators were subjected to a systematic assessment of validity, using the International Collaborative Effort on Injury Statistics (ICE) criteria. Based on the results of that validation, the authors identified four proposed NZIPS indicators. Results: The proposed “all injury” indicators were as follows: age standardized injury mortality rate per 100 000 person-years at risk; number of injury deaths; age standardized serious non-fatal injury rate per 100 000 person-years at risk; and number of cases of serious non-fatal injury. The authors identified no threat-to-validity when assessed against the ICE criteria. The estimated numbers and rates of serious non-fatal injury increased over the period, in contrast to the numbers and rates of fatal injury. Conclusion: The authors have proposed serious non-fatal injury indicators that they judge suffer substantially less bias than traditional non-fatal injury indicators. This approach to indicator development is consistent with the view that before newly proposed indicators are promulgated, they should be subjected to formal validation. The authors are encouraged that the New Zealand Government has accepted these arguments and proposed indicators, and are starting to act on some of their recommendations, including the development of complementary indicators.

[1]  John Desmond Langley,et al.  Indicators for injury surveillance , 2000 .

[2]  Ronan A Lyons,et al.  Purpose, development and use of injury indicators , 2005, International journal of injury control and safety promotion.

[3]  C Cryer,et al.  Traps for the unwary in estimating person based injury incidence using hospital discharge data , 2002, Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention.

[4]  E. Mackenzie,et al.  Comparison of alternative methods for assessing injury severity based on anatomic descriptors. , 1999, The Journal of trauma.

[5]  J D Langley,et al.  Diagnosis based injury severity scaling: investigation of a method using Australian and New Zealand hospitalisations , 2004, Injury Prevention.

[6]  J D Langley,et al.  Coding the circumstances of injury: ICD-10 a step forward or backwards? , 1999, Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention.

[7]  B. J. Winer Fundamental Statistics in Psychology and Education. 5th ed. , 1973 .

[8]  S Stephenson,et al.  Accuracy of injury coding under ICD-9 for New Zealand public hospital discharges , 2006, Injury Prevention.

[9]  T. Osler,et al.  ICISS: an international classification of disease-9 based injury severity score. , 1996, The Journal of trauma.

[10]  W. Holtzman Fundamental statistics in psychology and education. , 1951 .

[11]  Yoon Kim,et al.  Validation of the International Classification of Diseases 10th Edition-based Injury Severity Score (ICISS). , 2000, The Journal of trauma.

[12]  J D Langley Experiences using New Zealand's hospital based surveillance system for injury prevention research. , 1995, Methods of information in medicine.

[13]  R. McClure,et al.  Appropriate indicators for injury control? , 2002, Public health.

[14]  J D Langley,et al.  Why the government was right to change the 'Our Healthier Nation' accidental injury target. , 2000, Public health.

[15]  D. Clark,et al.  Risk adjustment for injured patients using administrative data. , 2004, The Journal of trauma.

[16]  John Langley,et al.  Measuring Road Traffic Safety Performance: Monitoring Trends in Nonfatal Injury , 2003, Traffic injury prevention.

[17]  Charles Mock,et al.  A comparison of the abilities of nine scoring algorithms in predicting mortality. , 2002, The Journal of trauma.

[18]  John D Langley,et al.  Comparing measures of injury severity for use with large databases. , 2002, The Journal of trauma.

[19]  J D Langley,et al.  Injury outcome indicators: the development of a validation tool , 2005, Injury Prevention.

[20]  J D Langley,et al.  Measure for measure: the quest for valid indicators of non-fatal injury incidence. , 2002, Public health.

[21]  John Desmond Langley,et al.  How can we reliably measure the occurrence of non-fatal injury? , 1999 .