title: Coding external causes of injuries: problems and solutions.
abstract: Complete and accurate information about hospitalised injuries is essential for injury risk and outcome research, though the accuracy and reliability of hospital data for injury surveillance are often questioned. To ascertain clinical coders' views of the reasons for a lack of specificity in external cause code usage and ways to improve external cause coding, a nationwide survey of coders was conducted in Australia in 2006. Four hundred and two coders participated in the questionnaire. The results of this study show that discharge summaries and doctors' notes were the poorest source of information regarding external causes, place of injury occurrence, and activity at the time of injury. Coders viewed missing external cause information and missing documentation as having the greatest impact on the quality of external cause coding. A large majority of coders suggested that improving clinical documentation in the emergency department and introducing a centralised structured form for external cause information would improve the quality of external cause coding. Clinical coders are a valuable source of information regarding problems with, and solutions to the collection of high quality data and this research has highlighted several areas where improvements can be made and further research is needed.
authors.affiliation: National Centre for Classification in Health, School of Public Health and Institute for Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Qld. 4059, Australia. k.mckenzie@qut.edu.au
authors.forename: Kirsten
authors.initials: K
authors.lastname: McKenzie
authors.forename: Emma
authors.initials: E
authors.lastname: Enraght-Moony
authors.forename: Leith
authors.initials: L
authors.lastname: Harding
authors.forename: Sue
authors.initials: S
authors.lastname: Walker
authors.forename: Garry
authors.initials: G
authors.lastname: Waller
authors.forename: Linping
authors.initials: L
authors.lastname: Chen
mesh_terms: D000328:Adult; D000368:Aged; D001315:Australia; D003625:Data Collection; D004282:Documentation; D005260:Female; D005568:Forms and Records Control; D006801:Humans; D008297:Male; D008875:Middle Aged; D011159:Population Surveillance; D018570:Risk Assessment; D012307:Risk Factors; D011795:Surveys and Questionnaires; D014947:Wounds and Injuries / Q000145:classification / Q000209:etiology*