TY - JOUR
T1 - Exploring uncertainty of the change from ICD-9 to ICD-10 on acute mortality effects of air pollution
AU - Qian, Zhengmin
AU - He, Qingci
AU - Lin, Hung Mo
AU - Kong, Lingli
AU - Liao, Duanping
AU - Gong, Jie
AU - Bentley, Christy M.
AU - Wei, Hongming
N1 - Funding Information:
This work was conducted under contract to the Health Effects Institute (HEI), and was made possible, in part, through support provided by the U.S. Agency for International Development, certain motor vehicle and engine manufacturers, Pennsylvania State University, Wuhan Academy of Environmental Science, Wuhan Centres for Disease Prevention and Control, and Wuhan Environmental Monitoring Center. The investigators thank the useful comments/advice made by the HEI's International Scientific Oversight Committee. We acknowledge Joanne E. Caulfield, Doug Gray, and Erik B. Lehman for their assistance and support.
PY - 2008/2
Y1 - 2008/2
N2 - The change in ICD coding from ICD-9 to ICD-10 may produce inconsistencies and discontinuities in cause-specific mortality, thus impacting on effects estimates of air pollution on mortality. The current study was conducted in Wuhan, China. We examined the concordant rates and Kappa statistics using the mortality data from the year 2002 coded with both ICD-9 and ICD-10 codes and compared the estimated effects of air pollution using the Generalized Additive Model in R. We found high concordant rates (> 99.3%) and Kappa statistics close to 1.0 (> 0.98). Little difference was identified in the estimated effects of air pollution on daily cardiovascular, stroke, cardiac, cardiopulmonary, and respiratory mortality. This study provides evidence that, based on the wide definitions of cause-specific morality typically used in the studies of time-series air pollution mortality, the change in the ICD coding does not significantly affect the estimated effects of air pollution.
AB - The change in ICD coding from ICD-9 to ICD-10 may produce inconsistencies and discontinuities in cause-specific mortality, thus impacting on effects estimates of air pollution on mortality. The current study was conducted in Wuhan, China. We examined the concordant rates and Kappa statistics using the mortality data from the year 2002 coded with both ICD-9 and ICD-10 codes and compared the estimated effects of air pollution using the Generalized Additive Model in R. We found high concordant rates (> 99.3%) and Kappa statistics close to 1.0 (> 0.98). Little difference was identified in the estimated effects of air pollution on daily cardiovascular, stroke, cardiac, cardiopulmonary, and respiratory mortality. This study provides evidence that, based on the wide definitions of cause-specific morality typically used in the studies of time-series air pollution mortality, the change in the ICD coding does not significantly affect the estimated effects of air pollution.
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U2 - 10.1016/j.envint.2007.08.006
DO - 10.1016/j.envint.2007.08.006
M3 - Article
C2 - 17854896
AN - SCOPUS:38949157127
SN - 0160-4120
VL - 34
SP - 248
EP - 253
JO - Environment international
JF - Environment international
IS - 2
ER -