Chronic disease prevalence from Italian administrative databases in the VALORE project: A validation through comparison of population estimates with general practice databases and national survey

BMC Public Health

Volumn 13, Issue 1, 2013, Pages

  Gini, Rosa ^a,b   Francesconi, Paolo ^b   Mazzaglia, Giampiero ^c   Cricelli, Iacopo ^d   Pasqua, Alessandro ^c   Gallina, Pietro ^e   Brugaletta, Salvatore ^f   Donato, Daniele ^e   Donatini, Andrea ^g   Marini, Alessandro ^h   Zocchetti, Carlo ⁱ   Cricelli, Claudio ^c   Damiani, Gianfranco ^j   Bellentani, Mariadonata ^k   Sturkenboom, Miriam C J M ^b   Schuemie, Martijn J ^b  

^a Tuscany Regional Health Agency Agenzia Regionale di Sanità della Toscana   (Italy)

^b ERASMUS MEDICAL CENTER   (Netherlands)

^c Società Italiana di Medicina Generale SIMG   (Italy)

^d Genomedics   (Italy)

^e Medicina dello Sport   (Italy)

^f Servizio di Epidemiologia   (Italy)

^g Servizio Presidi Ospedalieri Assessorato Politiche per la Salute Emilia Romagna   (Italy)

^h Zona Territoriale Senigallia   (Italy)

ⁱ Regione Lombardia   (Italy)

^j CATHOLIC UNIVERSITY   (Italy)

^k National Agency for Regional Health Services   (Italy)

more..

Author keywords

Chronic disease; Data reuse; Prevalence; Validation studies

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; CHRONIC DISEASE; CHRONIC OBSTRUCTIVE LUNG DISEASE; COMPARATIVE STUDY; DIABETES MELLITUS; FACTUAL DATABASE; FEMALE; GENERAL PRACTICE; HEALTH SURVEY; HEART FAILURE; HEART MUSCLE ISCHEMIA; HUMAN; ITALY; MALE; MEDICAL GEOGRAPHY; MIDDLE AGED; PREVALENCE; REPRODUCIBILITY; STATISTICS;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CHRONIC DISEASE; DATABASES, FACTUAL; DIABETES MELLITUS; FEMALE; GENERAL PRACTICE; GEOGRAPHY, MEDICAL; HEALTH SURVEYS; HEART FAILURE; HUMANS; ITALY; MALE; MIDDLE AGED; MYOCARDIAL ISCHEMIA; PREVALENCE; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; REPRODUCIBILITY OF RESULTS; SICILY; YOUNG ADULT;

MLCS; MLOWN;

EID: 84872047919     PISSN: None     EISSN: 14712458     Source Type: Journal    
DOI: 10.1186/1471-2458-13-15     Document Type: Article

References (31)

1. Administrative record linkage as a tool for public health research. Jutte DP, Roos LL, Brownell MD, Annu Rev Public Health 2011 32 91 108 [ http://www.ncbi.nlm.nih.gov/pubmed/21219160 ]. [PMID: 21219160] 10.1146/annurev-publhealth-031210-100700 21219160
2. Stroke surveillance in Manitoba, Canada: estimates from administrative databases. Moore DF, Lix LM, Yogendran MS, Martens P, Tamayo A, Chronic Diseases in Canada 2008 29 22 30 [ http://www.ncbi.nlm.nih.gov/pubmed/19036220 ]. [PMID: 19036220] 19036220
3. Measures of prevalence: which healthcare registers are applicable? Wigertz A, Westerling R, Scand J Public Health 2001 29 55 62 [ http://www.ncbi.nlm.nih.gov/pubmed/11355718 ]. [PMID: 11355718] 11355718 (Pubitemid 33731036)
4. Specificity and Sensitivity of Claims-Based, Algorithms for Identifying Members of Medicare+Choice Health Plans That Have Chronic Medical Conditions. Rector TS, Wickstrom SL, Shah M, Thomas Greeenlee N, Rheault P, Rogowski J, Freedman V, Adams J, Escarce JJ, Health Services Res 2004 39 6 Pt 1 1839 1858 [PMID: 1553 3190 PMCID: 1361101]
5. An algorithm to identify patients with treated type 2 diabetes using medico-administrative data. Renard LM, Bocquet V, Vidal-Trecan G, Lair M-L Couffignal S, Blum-Boisgard C, BMC Medical Informatics and Decision Making 2011 11 23 [PMID: 21492480 PMCID: 3090314] 10.1186/1472-6947-11-23 21492480
6. With great data comes great responsibility: publishing comparative effectiveness research in epidemiology. Herná MA, Epidemiol (Cambridge, Mass.) 2011 22 3 290 291 [ http://www.ncbi.nlm.nih.gov/pubmed/21464646 ]. [PMID: 21464646] 10.1097/EDE.0b013e3182114039
7. The validity of using ICD-9 codes and pharmacy records to identify patients with chronic obstructive pulmonary disease. Cooke CR, Joo MJ, Anderson SM, Lee TA, Udris EM, Johnson E, Au DH, BMC Health Services Res 2011 11 37 [ http://www.ncbi.nlm.nih.gov/pubmed/21324188 ]. [PMID: 21324188] 10.1186/1472-6963-11-37
8. Are Claims Data Accurate Enough to Identify Patients for Performance Measures or Quality Improvement? The Case of Diabetes, Heart Disease, and Depression. Solberg LI, Am J Med Qual 2006 21 238 245 [ http://ajm.sagepub.com/ cgi/doi/10.1177/1062860606288243 ] 10.1177/1062860606288243 16849780 (Pubitemid 44035782)
9. Identification of incident stroke in Norway: hospital discharge data compared with a population-based stroke register. Ellekjaer H, Holmen J, Krüger O, Terent A, Stroke; a J Cerebral Circulation 1999 30 56 60 [ http://www.ncbi.nlm.nih.gov/pubmed/9880388 ]. [PMID: 9880388] 10.1161/01.STR.30.1.56 23335971 (Pubitemid 29029441)
10. Population-based data sources for chronic disease surveillance. Lix LM, Yogendran MS, Shaw SY, Burchill C, Metge C, Bond R, Chronic Diseases in Canada 2008 29 31 38 [ http://www.ncbi.nlm.nih.gov/pubmed/19036221 ]. [PMID: 19036221] 19036221
11. Using pharmacy data to identify those with chronic conditions in Emilia Romagna, Italy. Maio V, Yuen E, Rabinowitz C, Louis D, Jimbo M, Donatini A, Mall S, Taroni F, J Health Services Res & Policy 2005 10 4 232 238 [ http://www.ncbi.nlm.nih.gov/pubmed/16259690 ]. [PMID: 16259690] 10.1258/135581905774414259 22780089 (Pubitemid 41540275)
12. Italy: Health system review. Lo Scalzo A, Donatini A, Orzella L, Cicchetti A, Profili S, Maresso A, Health Syst Transition 2009 11 6 1 216
13. Can we use the pharmacy data to estimate the prevalence of chronic conditions? a comparison of multiple data sources. Chini F, Pezzotti P, Orzella L, Borgia P, Guasticchi G, BMC Public Health 2011 11 688 [PMID: 21892946 PMCID: 3223740] 10.1186/1471-2458-11-688 21892946
14. Capture-recapture and multiple-record systems estimation I: History and theoretical development. International Working Group for Disease Monitoring and Forecasting. Am J Epidemiol 1995 142 10 1047 1058 [ http://www.ncbi.nlm.nih.gov/ pubmed/7485050 ]. [PMID: 7485050] 7485050
15. Capture-recapture and multiple-record systems estimation II: Applications in human diseases. International Working Group for Disease Monitoring and Forecasting. Am j epidemiol 1995 142 10 1059 1068 [ http://www.ncbi.nlm.nih.gov/ pubmed/7485051 ]. [PMID: 7485051] 7485051
16. [Estimating prevalence of diabetes mellitus in a Lazio province, Italy, by capture-recapture models]. Giarrizzo ML, Pezzotti P, Silvestri I, Di Lallo D, Epidemiologia e prevenzione 2007 31 6 333 339 [ http://www.ncbi.nlm.nih.gov/ pubmed/18326425 ]. [PMID: 18326425] 18326425
17. Socio-economic differences in the prevalence of diabetes in Italy: The population-based Turin study. Gnavi R, Karaghiosoff L, Costa G, Merletti F, Bruno G, Nutr, Metab Cardiovasc Diseases 2008 18 10 678 682 [ http://www.sciencedirect.com/science/article/pii/S0939475307002049 ] 10.1016/j.numecd.2007.11.004
18. [United Italy, 150 years later: has equity in health and healthcare improved?]. Costa G, Ricciardi G, Paci E(Eds), Epidemiologia e Prevenzione 2011, 35(5 6 Suppl 2) 1-134
19. ATC: Structure and principles. [ http://www.whocc.no/atc/structure-and- principles/ ]. [Accessed: September 2012]
20. [Objectives, tools and methods for an epidemiological use of electronic health archives in various areas of Italy]. Simonato L, Baldi I, Balzi D, Barchielli A, Battistella G, Canova C, Cesaroni G, Corrao G, Collini F, Conti S, Costa G, Demaria M, Fornari C, Faustini A, Galassi C, Gnavi R, Inio A, Madotto F, Migliore E, Minelli G, Pellizzari M, Protti M, Romanelli A, Russo A, Saugo M, Tancioni V, Tessari R, Vianello A, Vigotti M(Eds), Epidemiologia e Prevenzione 2008, 32(3 Suppl), 1 134 [ http://www.ncbi.nlm.nih.gov/pubmed/18928238 ]
21. Prevalence of chronic obstructive pulmonary disease and pattern of comorbidities in a general population. Anecchino C, Rossi E, Fanizza C, De Rosa M, Tognoni G, Romero M, Int J Chronic Obstructive Pulmonary Disease 2007 2 4 567 574 [PMID: 18268930 PMCID: 2699,968]
22. Computerized general practice databases provide quick and cost-effective information on the prevalence of angina pectoris. Filippi A, Vanuzzo D, Bignamini AA, Sessa E, Brignoli O, Mazzaglia G, Italian Heart J: Official J Italian Federation of Cardiology 2005 6 49 51 [ http://www.ncbi.nlm.nih.gov/ pubmed/15773273 ]. [PMID: 15773273]
23. [Demography in figures]. [ http://demo.istat.it ]. [Accessed: October 2011]
24. Prevalence estimates for chronic diseases in Italy: exploring the differences between self-report and primary care databases. Cricelli C, Mazzaglia G, Samani F, Marchi M, Sabatini A, Nardi R, Ventriglia G, Caputi AP, J Public Health Med 2003 25 3 254 257 [ http://www.ncbi.nlm.nih.gov/pubmed/ 14575204 ]. [PMID: 14575204] 10.1093/pubmed/fdg060 14575204 (Pubitemid 37237080)
25. Comparisons of self-reported and chart-identified chronic diseases in inner-city seniors. Leikauf J, Federman AD, J Am Geriatrics Soc 2009 57 7 1219 1225 [ http://www.ncbi.nlm.nih.gov/pubmed/19486197 ]. [PMID: 19486197] 10.1111/j.1532-5415.2009.02313.x
26. Investigating concordance in diabetes diagnosis between primary care charts (electronic medical records) and health administrative data: a retrospective cohort study. Harris SB, Glazier RH, Tompkins JW, Wilton AS, Chevendra V, Stewart MA, Thind A, BMC Health Services Res 2010 10 347 [PMID: 2118 2790 PMCID: 3022877] 10.1186/1472-6963-10-347
27. Homecare for patients with heart failure in Italy. Filippi A, Sessa E, Pecchioli S, Trifir G, Samani F, Mazzaglia G, Italian Heart J: Official J Italian Federation of Cardiology 2005 6 7 573 577 [ http://www.ncbi.nlm.nih.gov/ pubmed/16274019 ]. [PMID: 16274019]
28. A systematic review of validated methods for identifying heart failure using administrative data. Saczynski JS, Andrade SE, Harrold LR, Tjia J, Cutrona SL, Dodd KS, Goldberg RJ, Gurwitz JH, Pharmacoepidemiology and Drug Saf 2012 21 129 140 [ http://onlinelibrary.wiley.com/doi/10.1002/pds.2313/abstract ]
29. The validity of diagnosing chronic obstructive pulmonary disease from a large administrative database. Lacasse Y, Montori VM, Lanthier C, Maltis F, Can Respir J: J Canadian Thoracic Soc 2005 12 5 251 256 [ http://www.ncbi.nlm.nih. gov/pubmed/16107913 ]. [PMID: 16107913] (Pubitemid 41387422)
30. The reliability of hospital and pharmaceutical data to assess prevalent cases of chronic obstructive pulmonary disease. Faustini A, Canova C, Cascini S, Baldo V, Bonora K, De Girolamo G, Romor P, Zanier L, Simonato L, COPD 2012 9 2 184 196 [PMID:, 2240 9483] 10.3109/15412555.2011.654014 22409483
31. Prevalence of chronic diseases in older Italians: comparing self-reported and clinical diagnoses. The Italian Longitudinal Study on Aging Working Group. Int J Epidemiol 1997 26 5 995 1002 [ http://www.ncbi.nlm.nih.gov/pubmed/9363520 ]. [PMID: 9363520] 9363520