Sources of coding discrepancies in injury morbidity data: Implications for injury surveillance


Autoria(s): McKenzie, Kirsten; McClure, Roderick J.
Data(s)

01/03/2010

Resumo

Objective: To examine the sources of coding discrepancy for injury morbidity data and explore the implications of these sources for injury surveillance.-------- Method: An on-site medical record review and recoding study was conducted for 4373 injury-related hospital admissions across Australia. Codes from the original dataset were compared to the recoded data to explore the reliability of coded data aand sources of discrepancy.---------- Results: The most common reason for differences in coding overall was assigning the case to a different external cause category with 8.5% assigned to a different category. Differences in the specificity of codes assigned within a category accounted for 7.8% of coder difference. Differences in intent assignment accounted for 3.7% of the differences in code assignment.---------- Conclusions: In the situation where 8 percent of cases are misclassified by major category, the setting of injury targets on the basis of extent of burden is a somewhat blunt instrument Monitoring the effect of prevention programs aimed at reducing risk factors is not possible in datasets with this level of misclassification error in injury cause subcategories. Future research is needed to build the evidence base around the quality and utility of the ICD classification system and application of use of this for injury surveillance in the hospital environment.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/31671/

Publicador

Taylor & Francis Ltd.

Relação

http://eprints.qut.edu.au/31671/1/c31671.pdf

DOI:10.1080/17457300903308324

McKenzie, Kirsten & McClure, Roderick J. (2010) Sources of coding discrepancies in injury morbidity data: Implications for injury surveillance. International Journal of Injury Control and Safety Promotion, 17(1), pp. 53-60.

Direitos

Copyright 2010 Taylor & Francis

Fonte

Faculty of Health; Institute of Health and Biomedical Innovation; School of Public Health & Social Work

Palavras-Chave #111711 Health Information Systems (incl. Surveillance) #External Cause #Coding #ICD-10-AM #Data Quality
Tipo

Journal Article