Accuracy of injury coding under ICD-9 for New Zealand public hospital discharges

Objective: To determine the level of accuracy in coding for injury principal diagnosis and the first external cause code for public hospital discharges in New Zealand and determine how these levels vary by hospital size. Method: A simple random sample of 1800 discharges was selected from the period 1996–98 inclusive. Records were obtained from hospitals and an accredited coder coded the discharge independently of the codes already recorded in the national database. Results: Five percent of the principal diagnoses, 18% of the first four digits of the E-codes, and 8% of the location codes (5th digit of the E-code), were incorrect. There were no substantive differences in the level of incorrect coding between large and small hospitals. Conclusions: Users of New Zealand public hospital discharge data can have a high degree of confidence in the injury diagnoses coded under ICD-9-CM-A. A similar degree of confidence is warranted for E-coding at the group level (for example, fall), but not, in general, at higher levels of specificity (for example, type of fall). For those countries continuing to use ICD-9 the study provides insight into potential problems of coding and thus guidance on where the focus of coder training should be placed. For those countries that have historical data coded according to ICD-9 it suggests that some specific injury and external cause incidence estimates may need to be treated with more caution.

[1]  S. Zimmerman,et al.  Accuracy of Medical Records in Hip Fracture , 1998, Journal of the American Geriatrics Society.

[2]  Smith Mw,et al.  Hospital discharge diagnoses: how accurate are they and their international classification of diseases (ICD) codes? , 1989 .

[3]  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.

[4]  C. Macintyre,et al.  Accuracy of ICD–9–CM codes in hospital morbidity data, Victoria: implications for public health research , 1977, Australian and New Zealand journal of public health.

[5]  R. Newcombe Two-sided confidence intervals for the single proportion: comparison of seven methods. , 1998, Statistics in medicine.

[6]  G S Smith,et al.  Qualitative assessment of cause-of-injury coding in U.S. military hospitals: NATO standardization agreement (STANAG) 2050. , 2000, American journal of preventive medicine.

[7]  A. Ziv,et al.  An introduction to the Barell body region by nature of injury diagnosis matrix , 2002, Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention.

[8]  Profess Ional Relat,et al.  National Centre for Classification in Health , 2001 .

[9]  V. Sundararajan,et al.  Quality of Diagnosis and Procedure Coding in ICD-10 Administrative Data , 2006, Medical care.

[10]  T. A. West,et al.  Accuracy of external cause of injury codes reported in Washington State hospital discharge records , 2001, Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention.

[11]  C. Macintyre,et al.  Accuracy of injury coding in Victorian hospital morbidity data. , 1997, Australian and New Zealand journal of public health.

[12]  J S Buechner,et al.  Improving the E coding of hospitalizations for injury: do hospital records contain adequate documentation? , 1995, American journal of public health.

[13]  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.

[14]  M W Smith Hospital discharge diagnoses: how accurate are they and their international classification of diseases (ICD) codes? , 1989, The New Zealand medical journal.