Predictive performance of comorbidity measures in administrative databases for diabetes cohorts

BMC Health Services Research

Volumn 13, Issue 1, 2013, Pages

  Lix, Lisa M ^a,b,c,d   Quail, Jacqueline ^c   Fadahunsi, Opeyemi ^e   Teare, Gary F ^c,d  

^a UNIVERSITY OF MANITOBA   (Canada)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

^c Saskatchewan Health   (Canada)

^d UNIVERSITY OF SASKATCHEWAN   (Canada)

^e READING HOSPITAL AND MEDICAL CENTER   (United States)

Author keywords

Administrative health data; Comorbid conditions; Diabetes; Risk adjustment; Statistical models

Indexed keywords

ADULT; AGED; ARTICLE; CANADA; COHORT ANALYSIS; COMORBIDITY; FEMALE; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; MALE; MEDICAL RECORD; MIDDLE AGED; MORTALITY; NON INSULIN DEPENDENT DIABETES MELLITUS; PREDICTIVE VALUE; RISK ASSESSMENT; STATISTICAL MODEL;

ADULT; AGED; COHORT STUDIES; COMORBIDITY; DIABETES MELLITUS, TYPE 1; DIABETES MELLITUS, TYPE 2; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MEDICAL RECORDS; MIDDLE AGED; MODELS, STATISTICAL; PREDICTIVE VALUE OF TESTS; RISK ADJUSTMENT; SASKATCHEWAN; YOUNG ADULT;

EID: 84883202307     PISSN: None     EISSN: 14726963     Source Type: Journal    
DOI: 10.1186/1472-6963-13-340     Document Type: Article

References (51)

1. Administrative data for public health surveillance and planning. Virnig BA, McBean M, Annu Rev Public Health 2001 22 213 230 10.1146/annurev.publhealth. 22.1.213 11274519 (Pubitemid 32452505)
2. Defining comorbidity: implications for understanding health and health services. Valderas JM, Starfield B, Sibbald B, Salisbury C, Roland M, Ann Fam Med 2009 7 357 363 10.1370/afm.983 19597174
3. Specific comorbidity risk adjustment was a better predictor of 5-year acute myocardial infarction mortality than general methods. Grunau GL, Sheps S, Goldner EM, Ratner PA, J Clin Epidemiol 2006 59 274 280 10.1016/j.jclinepi.2005. 08.007 16488358 (Pubitemid 43243653)
4. Development of an epilepsy-specific risk adjustment comorbidity index. St Germaine-Smith C, Liu M, Quan H, Wiebe S, Jette N, Epilepsia 2011 52 2161 2167 10.1111/j.1528-1167.2011.03292.x 22004000
5. Sensitivity analysis and external adjustment for unmeasured confounders in epidemiologic database studies of therapeutics. Schneeweiss S, Pharmacoepidemiol Drug Saf 2006 15 291 303 10.1002/pds.1200 16447304 (Pubitemid 43797117)
6. A chronic disease score from automated pharmacy data. Von Korff M, Wagner EH, Saunders K, J Clin Epidemiol 1992 45 197 203 10.1016/0895-4356(92)90016-G 1573438
7. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. Charlson ME, Pompei P, Ales KL, MacKenzie CR, J Chronic Dis 1987 40 373 383 10.1016/0021-9681(87)90171-8 3558716 (Pubitemid 17055592)
8. Comorbidity measures for use with administrative data. Elixhauser A, Steiner C, Harris DR, Coffey RM, Med Care 1998 36 8 27 10.1097/00005650- 199801000-00004 9431328 (Pubitemid 128456396)
9. Comparison of three comorbidity measures for predicting health service use in patients with osteoarthritis. Dominick KL, Dudley TK, Coffman CJ, Bosworth HB, Arthritis Rheum 2005 53 666 672 10.1002/art.21440 16208675 (Pubitemid 41463830)
10. Common comorbidity scales were similar in their ability to predict health care costs and mortality. Perkins AJ, Kroenke K, Unutzer J, Katon W, Williams JW, Hope C, Callahan CM, J Clin Epidemiol 2004 57 1040 1048 10.1016/j.jclinepi. 2004.03.002 15528055 (Pubitemid 39446643)
11. Performance of comirbidity scores to control for confounding in epidemiologic studies using claims data. Schneeweiss S, Seeger J, Maclure M, Wang P, Avorn J, Glynn RJ, Am J Epidemiol 2001 154 854 865 10.1093/aje/154.9.854 11682368 (Pubitemid 33000813)
12. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA, Med Care 2005 43 1130 1139 10.1097/01.mlr.0000182534.19832.83 16224307 (Pubitemid 41587600)
13. Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases. Li B, Evans D, Faris P, Dean S, Quan H, BMC Health Serv Res 2008 8 12 10.1186/1472-6963-8-12 18194561 (Pubitemid 351393239)
14. New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. Sundararajan V, Henderson T, Perry C, Muggivan A, Quan H, Ghali WA, J Clin Epidemiol 2004 57 1288 1294 10.1016/j.jclinepi.2004.03.012 15617955 (Pubitemid 40023149)
15. The burden of hospitalization related to diabetes mellitus: A population-based study. De Berardis G, D'Ettorre A, Graziano G, Lucisano G, Pellegrini F, Cammarota S, Citarella A, Germinario CA, Lepore V, Menditto E, et al. Nutr Metab Cardiovasc Dis 2012 22 605 612 10.1016/j.numecd.2010.10.016 21333508
16. Seven-year mortality in heart failure patients with undiagnosed diabetes: an observational study. Flores-Le Roux JA, Comin J, Pedro-Botet J, Benaiges D, Puig-de DJ, Chillaron JJ, Goday A, Bruguera J, Cano-Perez JF, Cardiovasc Diabetol 2011 10 39 10.1186/1475-2840-10-39 21569580
17. Gender-Specific short and long-term mortality in diabetic versus nondiabetic patients with incident acute myocardial infarction in the reperfusion era (the MONICA/KORA Myocardial Infarction Registry). Meisinger C, Heier M, Von SW, Kirchberger I, Hormann A, Kuch B, Am J Cardiol 2010 106 1680 1684 10.1016/j.amjcard.2010.08.009 21126609
18. Recent US patterns and predictors of prevalent diabetes among acute myocardial infarction patients. Ovbiagele B, Markovic D, Fonarow GC, Cardiol Res Pract 2011 2011 145615 21559251
19. Prevalence and clinical profile and management of peripheral arterial disease in elderly patients with diabetes. Escobar C, Blanes I, Ruiz A, Vinuesa D, Montero M, Rodriguez M, Barbera G, Manzano L, Eur J Intern Med 2011 22 275 281 10.1016/j.ejim.2011.02.001 21570647
20. Diabetic retinopathy predicts all-cause mortality and cardiovascular events in both type 1 and 2 diabetes: meta-analysis of observational studies. Kramer CK, Rodrigues TC, Canani LH, Gross JL, Azevedo MJ, Diabetes Care 2011 34 1238 1244 10.2337/dc11-0079 21525504
21. Comparing comorbidity measures for predicting mortality and hospitalization in three population-based cohorts. Quail JM, Lix LM, Osman BA, Teare GF, BMC Health Serv Res 2011 11 146 10.1186/1472-6963-11-146 21663672
22. Mortality in elderly injured patients: the role of comorbidities. Camilloni L, Farchi S, Giorgi RP, Chini F, Borgia P, Int J Inj Contr Saf Promot 2008 15 25 31 10.1080/17457300701800118 18344093
23. A combined comorbidity score predicted mortality in elderly patients better than existing scores. Gagne JJ, Glynn RJ, Avorn J, Levin R, Schneeweiss S, J Clin Epidemiol 2011 64 749 759 10.1016/j.jclinepi.2010.10.004 21208778
24. Statistics Canada 2006 community profiles 2011 http://www12.statcan.ca/ census-recensement/index-eng.cfm
25. Health databases in Saskatchewan. Downey W, Beck C, McNutt M, Stang M, Osei W, Nichol J, Pharmacoepidemiology New York: Wiley, Strom BL, 3 2000 325 345
26. Reliability of the recording of hysterectomy in the Saskatchewan health care system. Edouard L, Rawson NS, Br J Obstet Gynaecol 1996 103 891 897 10.1111/j.1471-0528.1996.tb09908.x 8813309 (Pubitemid 26297914)
27. Validity of stroke diagnosis on hospital discharge records in Saskatchewan, Canada: implications for stroke surveillance. Liu L, Reeder B, Shuaib A, Mazagri R, Cerebrovasc Dis 1999 9 224 230 10.1159/000015960 10393410 (Pubitemid 29308808)
28. Assessing the validity of diagnostic information in administrative health care utilization data: experience in Saskatchewan. Rawson NS, D'Arcy C, Pharmacoepidemiol Drug Saf 1998 7 389 398 10.1002/(SICI)1099-1557(199811/12)7: 6<389::AID-PDS380>3.0.CO;2-S 15073968 (Pubitemid 29047895)
29. Canada H, Responding to the challenge of diabetes in First report of the National Diabetes Surveillance System. Ottawa, ON: Canada 2003
30. Incidence and prevalence of diabetes in Manitoba, 1986-1991. Blanchard JF, Ludwig S, Wajda A, Dean H, Anderson K, Kendall O, Depew N, Diabetes Care 1996 19 807 811 10.2337/diacare.19.8.807 8842595 (Pubitemid 26286983)
31. Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Hux JE, Ivis F, Flintoft V, Bica A, Diabetes Care 2002 25 512 516 10.2337/diacare.25.3.512 11874939 (Pubitemid 41103345)
32. Use of comorbidity scores for control of confounding in studies using administrative databases. Schneeweiss S, Maclure M, Int J Epidemiol 2000 29 891 898 10.1093/ije/29.5.891 11034974
33. Development of a comorbidity index using physician claims data. Klabunde CN, Potosky AL, Legler JM, Warren JL, J Clin Epidemiol 2000 53 1258 1267 10.1016/S0895-4356(00)00256-0 11146273 (Pubitemid 32007842)
34. Case definitions for acute myocardial infarction in administrative databases and their impact on in-hospital mortality rates. Metcalfe A, Neudam A, Forde S, Liu M, Drosler S, Quan H, Jette N, Health Serv Res 2013 48 290 318 10.1111/j.1475-6773.2012.01440.x 22742621
35. Klomp H, Chan BTB, Cascagnette P, Teare G, Sidhu N, Quality of diabetes management in Saskatchewan: technical appendix Saskatoon, SK: Health Quality Council 2006
36. Canadian Stroke Strategy Information and Evaluation Working Group, Canadian Stroke Strategy performance measurement manual Ottawa, ON: Canadian Stroke Network 2008
37. Variation in health and health care use by socio-economic status in Winnipeg, Canada: the system works well? Yes and no. Roos NP, Mustard CA, Milbank Q 1997 75 89 111 10.1111/1468-0009.00045 9063301 (Pubitemid 127458356)
38. The multiple adaptations of multiple imputation. Reiter JP, Raghunathan TE, J Am Stat Assoc 2007 102 1462 1471 10.1198/016214507000000932
39. Relationship between Brier score and area under the binormal ROC curve. Ikeda M, Ishigaki T, Yamauchi K, Computer Meth Prog Biomedicine 2002 67 187 194 10.1016/S0169-2607(01)00157-2 (Pubitemid 34195446)
40. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Harrell FE Jr, Lee KL, Mark DB, Stat Med 1996 15 361 387 10.1002/(SICI)1097-0258(19960229)15: 4<361::AID-SIM168>3.0.CO;2-4 8668867 (Pubitemid 26072233)
41. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Delong ER, DeLong DM, Clarke-Pearson DL, Biometrics 1988 44 837 845 10.2307/2531595 3203132
42. Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets. Steyerberg EW, Harrell FE, Habbema JDF, Stat Med 2000 19 1059 1079 10.1002/(SICI)1097-0258(20000430)19: 8<1059::AID-SIM412>3.0.CO;2-0 10790680 (Pubitemid 30238915)
43. Assessing predictive accuracy: how to compare Brier scores. Redelmeier DA, Bloch DA, Hickam DH, J Clin Epidemiol 1991 44 1141 1146 10.1016/0895- 4356(91)90146-Z 1941009
44. SAS Institute Inc, SAS/STAT user's guide Cary, NC: SAS Institute Inc 2004 15597549
45. A comparison of comorbidity measurements to predict healthcare expenditures. Farley JF, Harley CR, Devine JW, Am J Manag Care 2006 12 110 119 16464140
46. The performance of administrative and self-reported measures for risk adjustment of veterans affairs expenditures. Maciejewski ML, Liu CF, Derleth A, McDonell M, Anderson S, Fihn SD, Health Serv Res 2005 40 887 904 10.1111/j.1475-6773.2005.00390.x 15960696 (Pubitemid 40791621)
47. Consistency of performance ranking of comorbidity adjustment scores in Canadian and U.S. utilization data. Schneeweiss S, Wang PS, Avorn J, Maclure M, Levin R, Glynn RJ, J Gen Intern Med 2004 19 444 450 10.1111/j.1525-1497.2004. 30109.x 15109342 (Pubitemid 38638905)
48. Comorbidity risk-adjustment strategies are comparable among persons with hip fracture. Radley DC, Gottlieb DJ, Fisher ES, Tosteson ANA, J Clin Epidemiol 2008 61 580 587 10.1016/j.jclinepi.2007.08.001 18471662
49. Strategies for improving comorbidity measures based on Medicare and Medicaid claims data. Wang PS, Walker A, Tsuang M, Orav EJ, Levin R, Avorn J, J Clin Epidemiol 2000 53 571 578 10.1016/S0895-4356(00)00222-5 10880775 (Pubitemid 30394506)
50. A chronic disease score with empirically derived weights. Clark DO, Von KM, Saunders K, Baluch WM, Simon GE, Med Care 1995 33 783 795 10.1097/00005650-199508000-00004 7637401
51. External validation of prognostic models for critically ill patients required substantial sample sizes. Peek N, Arts DG, Bosman RJ, van der Voort PH, De Keizer NF, J Clin Epidemiol 2007 60 491 501 17419960