Measuring Diagnoses: ICD Code Accuracy

• Published in: Health services research Vol. 40; no. 5p2; pp. 1620 - 1639
• Main Authors: O'Malley, Kimberly J., Cook, Karon F., Price, Matt D., Wildes, Kimberly Raiford, Hurdle, John F., Ashton, Carol M.
• Format: Journal Article
• Language: English
• Published: Oxford, UK Blackwell Publishing 01.10.2005; Health Research and Educational Trust; Blackwell Publishing Ltd; Blackwell Science Inc
• Subjects: Accuracy; Analysis; Codes; Data Collection - methods; error sources; Errors; Health care industry; Health care policy; Health Services Research - methods; Humans; ICD codes; International Classification of Diseases; Medical coding; Nosology; Original; Reproducibility of Results; Services; Studies; United States
• ISSN: 0017-9124; 1475-6773
• DOI: 10.1111/j.1475-6773.2005.00444.x

Objective. To examine potential sources of errors at each step of the described inpatient International Classification of Diseases (ICD) coding process. Data Sources/Study Setting. The use of disease codes from the ICD has expanded from classifying morbidity and mortality information for statistical purposes to diverse sets of applications in research, health care policy, and health care finance. By describing a brief history of ICD coding, detailing the process for assigning codes, identifying where errors can be introduced into the process, and reviewing methods for examining code accuracy, we help code users more systematically evaluate code accuracy for their particular applications. Study Design/Methods. We summarize the inpatient ICD diagnostic coding process from patient admission to diagnostic code assignment. We examine potential sources of errors at each step and offer code users a tool for systematically evaluating code accuracy. Principle Findings. Main error sources along the “patient trajectory” include amount and quality of information at admission, communication among patients and providers, the clinician's knowledge and experience with the illness, and the clinician's attention to detail. Main error sources along the “paper trail” include variance in the electronic and written records, coder training and experience, facility quality‐control efforts, and unintentional and intentional coder errors, such as misspecification, unbundling, and upcoding. Conclusions. By clearly specifying the code assignment process and heightening their awareness of potential error sources, code users can better evaluate the applicability and limitations of codes for their particular situations. ICD codes can then be used in the most appropriate ways.