Levey A, Atkins R, Coresh J, et al: Chronic kidney disease as a global public health probelm: approaches and initiatives - a position statement from Kidney Disease Improving Global Outcomes. Kidney Int. 2007, 72: 247-59. 10.1038/sj.ki.5002343.
Article
CAS
PubMed
Google Scholar
National, Kidney, Foundation: K/DOQI clinical practive guidelines for chronic kidney disase: evaluation, classification and stratification. Am J Kidney Dis. 2002, 39: S1-266. 10.1016/S0272-6386(02)70081-4.
Google Scholar
Needham D, Scales D, Laupacis A, Pronovost P: A systematic review of the Charlson comorbidty index using Canadian administrative databases: a perspective on risk adjustment in critical care research. Journal of Critical Care. 2005, 20: 12-9. 10.1016/j.jcrc.2004.09.007.
Article
PubMed
Google Scholar
Quan H, Khan N, Hemmelgarn B, Tu K, Chen G, Campbell N, et al: Validation of a case definition to define hypertension using administrative data. Hypertension. 2009, 54: 1423-8. 10.1161/HYPERTENSIONAHA.109.139279.
Article
CAS
PubMed
Google Scholar
Juurlink D, Preyra C, Croxford R, Chong A, Austin P, Tu J, et al: Canadian Institute for Health Information Discharge Abstract Database: A avlidation Study. Institute for Clinical Evaluative Sciences. 2006
Google Scholar
Liangos O, Wald R, O'Bell J, Price L, Pereira B, Jaber B: Epidemiology and outcomes of acute renal failure in hospitalized patients: a national survey. Clin J Soc Nephrology. 2006, 1: 43-51. 10.2215/CJN.00220605.
Article
Google Scholar
Waikar S, Wald R, Chertow G, Curhan G, Winkelmayer W, Liangos O, et al: Validity of Internatioal Classification of Diseases, Ninth Revision, Clinical Modification Codes for acute renal failure. Journal of the American Society of Nehprology. 2006, 17 (6): 1688-94. 10.1681/ASN.2006010073.
Article
Google Scholar
Humphries K, Rankin J, Carere R, Buller C, Kiely F, Spinelli J: Comorbidity data in outcomes research: are clinical data derived from administrative databases a reliable alternative to chart review? Journal of Clinical Epidemiology. 2000, 53 (4): 343-9.
Article
CAS
PubMed
Google Scholar
Lee D, Donovan L, Austin P, Gong Y, Liu P, Rouleau J, et al: Comparison of coding of heart failure and comorbidities in administrative and clinical data for use in outcomes research. Med Care. 2005, 43 (2): 182-8. 10.1097/00005650-200502000-00012.
Article
PubMed
Google Scholar
Parker J, Li Z, Damberg C, Danielson B, Carlisle D: Administrative versus clinical data for coronary artery bypass graft surgery reprto cards: the view from California. Med Care. 2006, 44: 687-95. 10.1097/01.mlr.0000215815.70506.b6.
Article
PubMed
Google Scholar
Quan H, Parsons G, Ghali W: Validity of procedure codes in International Classification of Diseases, 9th Revision, Clinical Modification administrative data. Med Care. 2004, 42 (8): 801-9. 10.1097/01.mlr.0000132391.59713.0d.
Article
PubMed
Google Scholar
Romano P, Remy L, Luft H: Second Report of the California Hospital Outcomes Project: Acute Myocaridal Infarction Volume 2: Technical Appendix. 1996, Centre for healthcare Policy and Research California Office of Statewide Health Planning and Development, Chapter 13-15:
Google Scholar
Winkelmayer W, Schneeweiss S, Mogun H, Patrick A, Avorn J, Solomon D: Identification of individuals with CKD from Medicare claims data: a validation study American Journal of Kidney Diseases. 2005, 46 (2): 225-32.
Google Scholar
Weintraub W, Deaton C, Shaw L, Mahoney E, Morris D, Saunders C, et al: Can Cardiovascular clinical characteristics be identified and outcome models be developed from an in-patient claims database?. Am J Cardiol. 1999, 84: 166-9. 10.1016/S0002-9149(99)00228-3.
Article
CAS
PubMed
Google Scholar
Wilchesky M, Tamblyn R, A H: Validation of diagnostic codes within medical services claims. Journal of Clinical Epidemiology. 2004, 57 (2): 131-41. 10.1016/S0895-4356(03)00246-4.
Article
PubMed
Google Scholar
Hemmelgarn B, Clement F, Manns B, Klarenbach S, James M, Ravani P, et al: Overview of the Alberta Kidney Disease Network. BMC Nephrology. 2009, 10 (30):
Manns B, Mortis G, Taub K, McLaughlin K, Donaldson C, Ghali W: The Southern Alberta Renal Program database: a protoype for patient management and research initiatives. Clin Invest Med. 2001, 24 (4): 164-70.
CAS
PubMed
Google Scholar
Statistics, Canada: Canadian Classification of Diagnostic, Therapeutic and Surgical Procedures. 1986, Statistics Canada Ottawa Canada
Google Scholar
Lok C, Oliver M, Rothwell D, Hux J: The growing volume of diabetes-related dialysis: a population-based study. Nephrol Dial Transplant. 2004, 19: 3098-103. 10.1093/ndt/gfh540.
Article
PubMed
Google Scholar
National, Institutes, of, Health, National, Institutes, of Diabetes and Digestive and Kidney Disease, Division, of Kidney, Urologic and Hematologic Diseases: United States Renal Data System: Researcher's Guide to using the USRDS Database. 2009, Bethesda, MD
Google Scholar
Hux J, Ivis F, Flintoft V, Bica A: Diabetes in Ontario: Determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care. 2002, 25: 512-6. 10.2337/diacare.25.3.512.
Article
PubMed
Google Scholar
Quan H, Li B, Saunders D, Parsons G, Nilsson C, Alibhai A, et al: Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database. Health Services Research. 2008, 43 (4): 1424-41. 10.1111/j.1475-6773.2007.00822.x.
Article
PubMed
PubMed Central
Google Scholar
Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi J, et al: Coding algorithms for defining comorbidities in ICD-9CM and ICD-10 administrative data. Med Care. 2005, 43 (11): 1130-9. 10.1097/01.mlr.0000182534.19832.83.
Article
PubMed
Google Scholar
Chen G, Faris P, Hemmelgarn B, Walker R, Quan H: Measuring agreement of administrative data with chart data using prevalence unadjusted and adjusted kappa. BMC Medical Research Methodology. 2009, 9 (5):
Kundel H, Polansky M: Measurement of observer agreement. Radiology. 2003, 228: 303-8. 10.1148/radiol.2282011860.
Article
PubMed
Google Scholar
Landis R, Koch G: The measurement of observer agreement for categorical data. Biometrics. 1977, 33: 159-74. 10.2307/2529310.
Article
CAS
PubMed
Google Scholar
Alberta, Health and Wellness: Report on the health of Albertans. 2006, Edmonton: Alberta Health and Wellness
Google Scholar
Kern E, Maney M, Miller D, Tseng C, Tiwari A, Rajan M, et al: Failure of ICD-9-CM codes to identify patients with comorbid kidney disease in diabetes. Health Services Research. 2006, 41 (2): 564-80. 10.1111/j.1475-6773.2005.00482.x.
Article
PubMed
PubMed Central
Google Scholar
Quinn RRLA, Austin PC, Hux JE, Garg AX, Hemmelgarn BR, Oliver MJ: Using administrative datasets to study outcomes in dialysis patients: a validation study. Med Care. 2010, 48 (8): 745-50. 10.1097/MLR.0b013e3181e419fd.
Article
PubMed
Google Scholar