Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2006 Nov;63(11):734-40.
doi: 10.1136/oem.2006.027243. Epub 2006 May 25.

The impact on relative risk estimates of inconsistencies between ICD-9 and ICD-10

Affiliations

The impact on relative risk estimates of inconsistencies between ICD-9 and ICD-10

D B Richardson. Occup Environ Med. 2006 Nov.

Abstract

Background: The 10th revision of the International Classification of Diseases (ICD) represents a major change in the ICD system. This paper investigates the impact on relative risk estimates of inconsistencies in outcome classification between ICD-9 and ICD-10, including scenarios in which occupational exposure levels are correlated with year of death (and therefore with the ICD revision in effect at death). The setting of interest is a cohort mortality study in which follow up spans the periods during which ICD-9 and ICD-10 were in effect. The relative risk estimate obtained when death certificates are coded to the ICD revision in effect at time of death is compared to the relative risk estimate that would be obtained if all death certificates were coded to a consistent ICD revision (that is, ICD-10). The ratio of these relative risks is referred to as the coefficient of bias.

Methods: Simple equations relate the coefficient of bias to the sensitivity and specificity of the classification of decedents into categories of cause of death via ICD-9 (treating classifications based upon ICD-10 as the standard). Bridge coded mortality data for 2,296,922 decedents (that is, death certificates coded to ICD-9 and ICD-10) are used to derive estimates of sensitivity and specificity by category of cause of death. Numerical examples illustrate the application of these equations.

Results: Estimates of the sensitivity of classification of decedents into categories of death defined by ICD-9 ranged from 0.26-1.00. Specificity was above 0.98 for all categories of cause of death. Numerical examples illustrate that inconsistencies in outcome classification between ICD-9 and ICD-10 may have substantial impact on relative risk estimates if there is a strong relation between exposure status and the proportion of deaths coded to a given ICD revision.

Conclusions: For analyses of mortality outcomes that exhibit poor comparability between ICD-9 and -10, it may be prudent to recode cause of death information to a standard ICD revision in order to avoid bias that can occur when exposures are correlated with the proportion of deaths coded to a given ICD revision.

PubMed Disclaimer

References

    1. Israel R A, Rosenberg H M, Curtin L R. Analytical potential for multiple cause of death data. Am J Epidemiol 1986124161–179. - PubMed
    1. Anderson R N, Minino A M, Hoyert D L.et al Comparability of cause of death between ICD‐9 and ICD‐10: preliminary estimates. Natl Vital Stat Rep 2001491–32. - PubMed
    1. Hetzel A M.History and organization of the vital statistics system. Hyattsville, Maryland: National Center for Health Statistics, 1997
    1. Steenland K, Beaumont J, Spaeth S.et al New developments in the Life Table Analysis System of the National Institute for Occupational Safety and Health. Journal of Occupational Medicine 1990321091–1098. - PubMed
    1. Marsh G M, Youk A O, Stone R A.et al OCMAP‐PLUS: a program for the comprehensive analysis of occupational cohort data. J Occup Environ Med 199840351–362. - PubMed

Publication types