JSM 2005 - Toronto

Abstract #302978

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 518
Type: Contributed
Date/Time: Thursday, August 11, 2005 : 10:30 AM to 12:20 PM
Sponsor: Section on Government Statistics
Abstract - #302978
Title: A Parametric Approach to Measure the Effects of the 10th ICD Revision on Mortality
Author(s): YouSung Park*+ and Jai W. Choi and Sungyong Kim and Robert Anderson and Doug Williams and Arialdi Minino
Companies: Korea University and National Center for Health Statistics and Korea University and National Center for Health Statistics and National Center for Health Statistics and National Center for Health Statistics
Address: 20717 Crystal Hill Cir G, Germantown, MD, 20874, United States
Keywords: Two-stage random processes ; ICD revision ; Comparability ratio
Abstract:

The World Health Organization has revised International Classification of Diseases (ICD) about every 10 years since 1900. The purpose of the revision is to stay abreast of advances in medical science and changes in medical terminology and to ensure the international comparability of health statistics. However, the new revision often introduces major disruptions in mortality statistics because of the changes in classification and rules for selecting underlying causes of death. Our main concern is measuring the extent of discontinuities in cause-age-specific death trends arising from implementing the ICD-10, which was effective in 1999. We propose a parametric model to measure comparability ratios between ICD-9 and ICD-10. To reflect both longitudinal and cross-sectional correlation and to avoid the high dimensional problem, we propose a two-stage random processes model composed of a conventional AR($p$) model with relevant exogenous variables for the longitudinal correlation and multinomial random variate for the cross-sectional correlation. We compare the comparability ratios by our model with those by the NCHS.


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Revised March 2005