Literature DB >> 21113015

Extent and consequences of misclassified injury diagnoses in a national hospital discharge registry.

Monica Frick Bergström1, Liisa Byberg, Håkan Melhus, Karl Michaelsson, Rolf Gedeborg.   

Abstract

BACKGROUND: Classification of injuries and estimation of injury severity on the basis of ICD-10 injury coding are powerful epidemiological tools. Little is known about the characteristics and consequences of primary coding errors and their consequences for such applications.
MATERIALS AND METHODS: From the Swedish national hospital discharge register, 15,899 incident injury cases primarily admitted to the two hospitals in Uppsala County between 2000 and 2004 were identified. Of these, 967 randomly selected patient records were reviewed. Errors in injury diagnosis were corrected, and the consequences of these changes were analysed.
RESULTS: Out of 1370 injury codes, 10% were corrected, but 95% of the injury codes were correct to the third position. In 21% (95% CI 19% to 24%) of 967 hospital admissions, at least one ICD-10 code for injury was changed or added, but only 13% (127) had some change made to their injury mortality diagnosis matrix classification. Among the cases with coding errors, the mean ICD-based injury severity score changed slightly (difference 0.016; 95% CI 0.007 to 0.032). The area under the receiver operating characteristics curve was 0.892 for predicting hospital mortality and remained essentially unchanged after the correction of codes (95% CI for difference -0.022 to 0.013).
CONCLUSION: Errors in ICD-10-coded injuries in hospital discharge data were common, but the consequences for injury categorisation were moderate and the consequences for injury severity estimates were in most cases minor. The error rate for detailed levels of cause-of-injury codes was high and may be detrimental for identifying specific targets for prevention.

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Year:  2010        PMID: 21113015     DOI: 10.1136/ip.2010.028951

Source DB:  PubMed          Journal:  Inj Prev        ISSN: 1353-8047            Impact factor:   2.399


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