Measuring Diagnoses¶
O'Malley, K. J., Cook, K. F., Price, M. D., Wildes, K. R., Hurdle, J. F., & Ashton, C. M. (2005). Measuring Diagnoses: ICD Code Accuracy. Health Services Research, 40(5), 1620-1639.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Instrument Interpretive Drift
- In medical coding, ICD conventions tighten or loosen over years so that what gets recorded as "heart failure" or "sepsis" changes without the diagnostic criteria on paper changing, a primary confound in disease time-trend analyses.
This sourceDocuments that ICD coding practice (coder training, facility quality-control, precedent) varies and shifts independently of the underlying clinical criteria, confounding disease time-trend analyses.
Supported in partVerified against the work's full text
O'Malley et al. state ICD codes and coding rules change annually and that changing criteria hamper monitoring incidence over time, but name no heart failure or sepsis drift and no primary trend confound.
“Continuing education of coders, or lack thereof, also influences coding accuracy, as the codes and coding rules expand and change annually.”
- In medical coding, ICD conventions tighten or loosen over years so that what gets recorded as "heart failure" or "sepsis" changes without the diagnostic criteria on paper changing, a primary confound in disease time-trend analyses.
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