Published online before print July 14, 2005, doi: 10.1161/01.STR.0000174293.17959.a1
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
(Stroke. 2005;36:1776.)
© 2005 American Heart Association, Inc.
Original Contributions |
Coding of Stroke and Stroke Risk Factors Using International Classification of Diseases, Revisions 9 and 10
From the Calgary Stroke Program, Departments of Clinical Neurosciences (M.D.H., R.A.K.), Medicine (M.D.H.), and Community Health Sciences (M.D.H.), Faculty of Medicine, University of Calgary, Alberta, Canada.
Correspondence to Michael D. Hill, Associate Professor, Calgary Stroke Program, Department of Clinical Neurosciences, University of Calgary, Foothills Hospital, Room 1242A, 1403 29th St NW, Calgary, Alberta, T2N 2T9, Canada. E-mail michael.hill{at}calgaryhealthregion.ca
Background and Purpose— Surveillance is necessary to understand and meet the future demands stroke will place on health care. Administrative data are the most accessible data source for stroke surveillance in Canada. The International Classification of Diseases, 10th revision (ICD-10) coding system has potential improvements over ICD-9 for stroke classification. Our purpose was to compare hospital discharge abstract coding using ICD-9 and ICD-10 for stroke and its risk factors.
Methods— We took advantage of a switch in coding systems from ICD-9 to ICD-10 to independently review stroke patient charts. From time periods April 2000 to March 2001, 717 charts, and from April 2002 to March 2003, 249 charts were randomly selected for review. Using a before-and-after time period design, the accuracy of hospital coding of stroke (part I) and stroke risk factors (part II) using ICD-9 and ICD-10 was compared. We used careful definitions of stroke and its types based on ICD-9 using the fourth and fifth digit modifier codes.
Results— Stroke coding was equally good with ICD-9 (90% [CI95 86 to 93] correct) and ICD-10 [92% (CI95 88 to 95 correct) with ICD-10. There were some differences in coding by stroke type, notably with transient ischemic attack, but these differences were not statistically significant. Atrial fibrillation, coronary artery disease/ischemic heart disease, diabetes mellitus, and hypertension were coded with high sensitivity (81% to 91%) and specificity (83% to 100%). ICD-10 was as good as ICD-9 for stroke risk factor coding.
Conclusions— Passive surveillance using administrative data are a useful tool for identifying stroke and its risk factors using both ICD-9 and ICD-10.
Key Words: epidemiology • health services research • stroke • risk factors
This article has been cited by other articles:
 |
|
 |
|
  A. Y.-J. Shen, J. F. Yao, S. S. Brar, M. B. Jorgensen, X. Wang, and W. Chen Racial/Ethnic Differences in Ischemic Stroke Rates and the Efficacy of Warfarin Among Patients With Atrial Fibrillation Stroke, October 1, 2008; 39(10): 2736 - 2743. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. Kamalesh, J. Shen, and G. J. Eckert Long Term Postischemic Stroke Mortality in Diabetes: A Veteran Cohort Analysis Stroke, October 1, 2008; 39(10): 2727 - 2731. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
G. Saposnik, R. Cote, S. Phillips, G. Gubitz, N. Bayer, J. Minuk, S. Black, and for the Stroke Outcome Research Canada (SORCan) Wo Stroke Outcome in Those Over 80: A Multicenter Cohort Study Across Canada Stroke, August 1, 2008; 39(8): 2310 - 2317. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 H. Zhu and M. D. Hill Stroke: The Elixhauser Index for comorbidity adjustment of in-hospital case fatality Neurology, July 22, 2008; 71(4): 283 - 287. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
G. Saposnik, A. Baibergenova, M. O'Donnell, M. D. Hill, M. K. Kapral, V. Hachinski, and On behalf of the Stroke Outcome Research Canada (S Hospital volume and stroke outcome: Does it matter? Neurology, September 11, 2007; 69(11): 1142 - 1151. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 A. Y.-J. Shen, J. F. Yao, S. S. Brar, M. B. Jorgensen, and W. Chen Racial/Ethnic Differences in the Risk of Intracranial Hemorrhage Among Patients With Atrial Fibrillation J. Am. Coll. Cardiol., July 24, 2007; 50(4): 309 - 315. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. D. Hill and M. Sharma The Economics of Thrombolysis Stroke, June 1, 2007; 38(6): 1732 - 1733. [Full Text] [PDF]
|
|
|
|
|
|
B. L. Cucchiara, B. Jackson, M. Weiner, and S. R. Messe Usefulness of Checking Platelet Count Before Thrombolysis in Acute Ischemic Stroke Stroke, May 1, 2007; 38(5): 1639 - 1640. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
N. E. Mayo, L. Nadeau, S. S. Daskalopoulou, and R. Cote The evolution of stroke in Quebec: A 15-year perspective Neurology, April 3, 2007; 68(14): 1122 - 1127. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
G. Saposnik, A. Baibergenova, N. Bayer, and V. Hachinski Weekends: A Dangerous Time for Having a Stroke? Stroke, April 1, 2007; 38(4): 1211 - 1215. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 B. R. Hemmelgarn, B. J. Manns, J. Zhang, M. Tonelli, S. Klarenbach, M. Walsh, B. F. Culleton, and for the Alberta Kidney Disease Network Association between Multidisciplinary Care and Survival for Elderly Patients with Chronic Kidney Disease J. Am. Soc. Nephrol., March 1, 2007; 18(3): 993 - 999. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
F. Pico, J. Labreuche, I. Gourfinkel-An, P. Amarenco, and on behalf of the GENIC Investigators Basilar Artery Diameter and 5-Year Mortality in Patients With Stroke Stroke, September 1, 2006; 37(9): 2342 - 2347. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 B. F. Culleton, B. J. Manns, J. Zhang, M. Tonelli, S. Klarenbach, and B. R. Hemmelgarn Impact of anemia on hospitalization and mortality in older adults Blood, May 15, 2006; 107(10): 3841 - 3846. [Abstract] [Full Text] [PDF]
|
|