Application of a national administrative case definition for the identification of pre-existing diabetes mellitus in pregnancy

Chronic Diseases and Injuries in Canada

Volumn 32, Issue 3, 2012, Pages 113-120

  Allen, Victoria M ^a   Dodds, L ^a   Spencer, A ^a   Cummings, E A ^a   MacDonald, N ^a   Kephart, G ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

Author keywords

Diabetes mellitus; Pregnancy; Validation studies

Indexed keywords

ALGORITHM; ARTICLE; CANADA; DIABETES MELLITUS; FACTUAL DATABASE; FEMALE; HUMAN; INCIDENCE; INTERNATIONAL CLASSIFICATION OF DISEASES; PREDICTIVE VALUE; PREGNANCY; PREGNANCY DIABETES MELLITUS; PREVALENCE; STATISTICS;

ALGORITHMS; DATABASES, FACTUAL; DIABETES MELLITUS; FEMALE; HUMANS; INCIDENCE; INTERNATIONAL CLASSIFICATION OF DISEASES; NOVA SCOTIA; PREDICTIVE VALUE OF TESTS; PREGNANCY; PREGNANCY IN DIABETICS; PREVALENCE;

EID: 84863422213     PISSN: 02288699     EISSN: 14818523     Source Type: Journal    
DOI: None     Document Type: Article

References (35)

1. Saydah SH, Geiss LS, Tierney E, Benjamin SM, Engelgau M, Brancati F. Review of the performance of methods to identify diabetes cases among vital statistics, administrative, and survey data. Ann Epidemiol. 2004;14:507-16.
2. Southern DA, Roberts B, Edwards A, Dean S, Norton P, Svenson LW, et al. Validity of administrative data claim-based methods for identifying individuals with diabetes at a population level. Can J Public Health. 2010;101:61-4.
3. Joseph KS, Allen AC, Dodds L, Turner LA, Scott H, Liston R. The perinatal effects of delayed childbearing. Obstet Gynecol. 2005;105:1410-8.
4. Joseph KS, Young DC, Dodds L, O'Connell CM, Allen VM, Chandra S, et al. Changes in maternal characteristics and obstetric practice and recent increases in primary cesarean delivery. Obstet Gynecol 2003;102:791-800.
5. Robinson HE, O'Connell CM, Joseph KS, McLeod NL. Maternal outcomes in pregnancies complicated by obesity. Obstet Gynecol. 2005;106:1357-64.
6. Pridjian G. Pregestational diabetes. Obstet Gynecol Clin North Am. 2010;37:143-58.
7. Johnson JA, Pohar SL, Majumdar SR. Health care use and costs in the decade after identification of type 1 and type 2 diabetes: a population-based study. Diabetes Care. 2006;29:2403-8.
8. Feig DS, Razzaq A, Sykora K, Hux JE, Anderson GM. Trends in deliveries, prenatal care, and obstetrical complications in women with pregestational diabetes: a population-based study in Ontario, Canada, 1996-2001. Diabetes Care. 2006;29:232-5.
9. Yang J, Cummings EA, O'Connell C, Jangaard K. Fetal and neonatal outcomes of diabetic pregnancies. Obstet Gynecol. 2006;108:644-50.
10. Rosenberg TJ, Garbers S, Lipkind H, Chiasson MA. Maternal obesity and diabetes as risk factors for adverse pregnancy outcomes: differences among 4 racial/ ethnic groups. Am J Public Health. 2005;95:1545-51.
11. Jensen DM, Damm P, Moelsted-Pedersen L, Ovesen P, Westergaard JG, Moeller M, Beck-Nielsen H. Outcomes in type 1 diabetic pregnancies: a nationwide, population-based study. Diabetes Care. 2004;27:2819-23.
12. Blanchard JF, Ludwig S, Wajda A, Dean H, Anderson K, Kendall O, et al. Incidence and prevalence of diabetes in Manitoba, 1986-1991. Diabetes Care. 1996;19:807-11.
13. Clottey C, Mo F, Le Brun B, Mickelson P, Niles J, Robbins G. The development of the National Diabetes Surveillance System (NDSS) in Canada. Chron Dis Can. 2001(2);22:67-9.
14. Report from the National Diabetes Surveillance System: Diabetes in Canada, 2009 [Internet]. Ottawa (ON): Public Health Agency of Canada; 2009. Available from: http://www.phac-aspc.gc.ca /publicat/2009/ndssdic-snsddac-09/pdf /report-2009-eng.pdf
15. Hux JE, 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.
16. Alshammari AM, Hux JE. The impact of non-fee-for-service reimbursement on chronic disease surveillance using administrative data. Can J Public Health. 2009;100:472-4.
17. Chen G, Khan N, Walker R, Quan H. Validating ICD coding algorithms for diabetes mellitus from administrative data. Diabetes Res Clin Pract. 2010;89:189-95.
18. Asghari S, Couteau J, Carpentier AC, Vanasse A. Optimal strategy to identify incidence of diagnostic of diabetes using administrative data. BMC Med Res Methodol. 2009;9:62.
19. Ho ML, Lawrence N, van Walraven C, Manuel D, Keely E, Malcolm J, et al. The accuracy of using integrated electronic health care data to identify patients with undiagnosed diabetes mellitus. J Eval Clin Pract. 2011 Feb 17. doi:10.1111/j.1365-2753.2011.01633.x.
20. National Diabetes Surveillance System. Responding to the challenge of diabetes in Canada: first report of the NDSS, 2003. Ottawa (ON): Health Canada; 2003 [cited 2010 Nov 22]. Available from: http://www. phac-aspc.gc.ca/ccdpc-cpcmc/ndss-snsd /english/pubs_reports/pdf/WEB_NDSS _English_Report-nocover.pdf
21. Diabetes Care Program of Nova Scotia. Development of a Nova Scotia Diabetes Repository: Provincial Report. Halifax (NS): Diabetes Care Program of Nova Scotia; Aug 2009.
22. Statistics Canada. 2006 Community profiles [Internet]. Ottawa (ON): Statistics Canada; 2006 [modified 2011 Jun 06; cited 2010 Nov 25]. Available at: http://www12.statcan.ca/census-recensement/2006 /dp-pd/index-eng.cfm
23. McMahon MJ, Ananth CV, Liston RM. Gestational diabetes mellitus. Risk factors, obstetric complications and infant outcomes. J Reprod Med. 1998;43:372-8.
24. Russell C, Dodds L, Armson BA, Kephart G, Joseph KS. Diabetes mellitus following gestational diabetes: role of subsequent pregnancy. BJOG. 2008;115:253-60.
25. Fair M, Cyr M, Allen AC, Wen SW, Guyon G, MacDonald RC. An assessment of the validity of a computer system probabilistic record linkage of birth and infant death records in Canada. Chronic Dis Can. 2000(1);21:8-13.
26. Reproductive Care Program of Nova Scotia. The Nova Scotia Atlee Perinatal Database [Internet]. Halifax (NS): RCP; [cited 2011 Jul 17]. Available at: http://rcp.nshealth.ca /atlee-database
27. Gabbe SG, Niebyl JR, Simpson JL, editors. Obstetrics: normal and problem pregnancies. 5th ed. Philadelphia (PA): Churchill Livingstone; 2007.
28. Manuel DG, Rosella LC, Stukel TA. The importance of accurately identifying disease in studies using electronic health records. BMJ. 2010;341:c4226. doi: 10.1136/ bmj.c4226.
29. Myers RP, Shaheen AA, Fong A, Wan AF, Swain MG, Hilsden RJ, et al. Validation of coding algorithms for the identification of patients with primary biliary cirrhosis using administrative data. Can J Gastroenterol. 2010;24:175-82.
30. Farrokhyar F, McHugh K, Irvine EJ. Self-reported awareness and use of the International Classification of Diseases coding of inflammatory bowel disease services by Ontario physicians. Can J Gastroenterol. 2002;16:519-26.
31. Quan H, Li Bing, Saunders LD, Parsons GA, Nilsson CI, Alibhai A, et al.; IMECCHI Investigators. Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database. Health Serv Res. 2008;43:1424-41.
32. Myers RP, Leung Y, Shaheen AAM, Li B. Validation of ICD-9-CM/ICD-10 coding algorithms for the identification of patients with acetaminophen overdose and hepatotoxicity using adminstrative data. BMC Health Serv Res. 2007;7:159.
33. Leslie WD, Lix LM, Yogendran MS. Validation of a case definition for osteoporosis disease surveillance. Osteoporos Int. 2011;22:37-46. doi: 10.1007/ s00198-010-1225-2.
34. Juurlink D, Preyra C, Croxford R, Chong A, Austin P, Tu J, et al. Canadian Institute for Health Information Discharge Abstract Database: a validation study [Internet]. Toronto (ON): Institute for Clinical Evaluative Sciences; 2006 [cited 2011 Jul 17]. Available at: http://www.ices.on.ca /file/CIHI_DAD_Reabstractors_study.pdf
35. Joseph KS, Fahey J. Validation of perinatal data in the Discharge Abstract Database of the Canadian Institute for Health Information. Chronic Dis Can. 2009(3);29:96-100.