Patient, physician, encounter, and billing characteristics predict the accuracy of syndromic surveillance case definitions

BMC Public Health

Volumn 12, Issue 1, 2012, Pages

  Cadieux, Geneviève ^a   Buckeridge, David L ^a,b   Jacques, André ^c   Libman, Michael ^a   Dendukuri, Nandini ^a   Tamblyn, Robyn ^a  

^a MCGILL UNIVERSITY   (Canada)

^b Gouvernement du Quebec   (Canada)

^c Direction de l'Amélioration de l'Exercice   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACCOUNTING; AMBULATORY CARE; ARTICLE; CANADA; FEMALE; HEALTH SURVEY; HUMAN; MALE; MEDICAL AUDIT; METHODOLOGY; STATISTICAL MODEL; SYNDROME;

FEMALE; HUMANS; LOGISTIC MODELS; MALE; MEDICAL AUDIT; OFFICE VISITS; PATIENT CREDIT AND COLLECTION; POPULATION SURVEILLANCE; QUEBEC; SYNDROME;

EID: 84857981615     PISSN: None     EISSN: 14712458     Source Type: Journal    
DOI: 10.1186/1471-2458-12-166     Document Type: Review

References (41)

1. Some methodological issues in biosurveillance. Fricker RD Jr, Stat Med 2011 30 403 415 10.1002/sim.3880 21312208
2. If Syndromic Surveillance Is the Answer, What Is the Question? Reingold A, Biosecur Bioterror 2003 1 77 81 10.1089/153871303766275745 15040185
3. A simulation model for assessing aberration detection methods used in public health surveillance for systems with limited baselines. Hutwagner LC, Thompson WW, Seeman GM, Treadwell T, Stat Med 2005 24 543 550 10.1002/sim.2034 15678442 (Pubitemid 40253605)
4. Algorithms for rapid outbreak detection: a research synthesis. Buckeridge DL, Burkom H, Campbell M, Hogan WR, Moore AW, J Biomed Inform 2005 38 99 113 10.1016/j.jbi.2004.11.007 15797000 (Pubitemid 40431925)
5. A simulation study comparing aberration detection algorithms for syndromic surveillance. Jackson ML, Baer A, Painter I, Duchin J, BMC Med Inform 2007 7 6 17 10.1186/1472-6947-7-6 (Pubitemid 46426295)
6. Syndromic surveillance: The effects of syndrome grouping on model accuracy and outbreak detection. Reis BY, Mandl KD, Ann Emerg Med 2004 44 235 241 10.1016/j.annemergmed.2004.03.030 15332065 (Pubitemid 39140523)
7. Optimizing a Syndromic Surveillance Text Clasifier for Influenza-Like Illness: Does Document Source Matter? South BR, Chapman WW, DeLisle S, Shen S, Kalp E, Perl T, et al. In: American Medical Informatics Association 2008 Symposium Proceedings, 692-696.
8. The usefulness of administrative databases for identifying disease cohorts is increased with a multivariate model. van Walraven C, Austin PC, Manuel D, Knoll G, Jennings A, Forster AJ, J Clin Epidemiol 2010 63 1332 1341 10.1016/j.jclinepi.2010.01.016 20457509
9. Discordance Between Self-report of Physician Diagnosis and Administrative Database Diagnosis of Arthritis and Its Predictors. Singh JA, J Rheumatol 2009 36 2000 2008 10.3899/jrheum.090041 19684149
10. The accuracy of medicare claims data in identifying Alzheimer's disease. Taylor DH, Fillenbaum GG, Ezell ME, J Clin Epidemiol 2002 55 929 937 10.1016/S0895-4356(02)00452-3 12393082 (Pubitemid 35246565)
11. Accuracy of ICD-9-CM codes in hospital morbidity data, Victoria: implications for public health research. MacIntyre CR, Ackland MJ, Chandraraj EJ, Pilla JE, Aust N Z J Public Health 1997 21 477 482 10.1111/j.1467-842X.1997. tb01738.x 9343891 (Pubitemid 127502801)
12. Discordance of Databases Designed for Claims Payment Versus Clinical Information-Systems-Implications for Outcomes Research. Jollis JG, Ancukiewicz M, Delong ER, Pryor DB, Muhlbaier LH, Mark DB, Ann Intern Med 1993 119 844 850 8018127 (Pubitemid 24012651)
13. Accuracy of Medicare claims data for rheumatologic diagnoses in total hip replacement recipients. Losina E, Barrett J, Baron JA, Katz JN, J Clin Epidemiol 2003 56 515 519 10.1016/S0895-4356(03)00056-8 12873645 (Pubitemid 36842908)
14. Validation of diagnoses of peptic ulcers and bleeding from administrative databases: A multi-health maintenance organization study. Andrade SE, Gurwitz JH, Chan KA, Donahue JG, Beck A, Boles M, et al. J Clin Epidemiol 2002 55 310 313 10.1016/S0895-4356(01)00480-2 11864803 (Pubitemid 34195528)
15. Assessing the accuracy of administrative data in health information systems. Peabody JW, Luck J, Jain S, Bertenthal D, Glassman P, Medical Care 2004 42 1066 1072 10.1097/00005650-200411000-00005 15586833 (Pubitemid 39472113)
16. Concordance between childhood injury diagnoses from two sources: an injury surveillance system and a physician billing claims database. Kostylova A, Swaine B, Feldman D, Inj Prev 2005 11 186 190 10.1136/ip.2004.006585 15933413 (Pubitemid 40814492)
17. Using multiple data features improved the validity of osteoporosis case ascertainment from administrative databases. Lix LM, Yogendran MS, Leslie WD, Shaw SY, Baumgartner R, Bowman C, et al. J Clin Epidemiol 2008 61 1250 1260 10.1016/j.jclinepi.2008.02.002 18619800
18. Optimizing Algorithms to Identify Parkinson's Disease Cases Within an Administrative Database. Szumski NR, Cheng EM, Mov Disord 2009 24 51 56 10.1002/mds.22283 18816696
19. Validation of Psoriatic Arthritis Diagnoses in Electronic Medical Records Using Natural Language Processing. Love TJ, Cai T, Karlson EW, Semin Arthritis Rheum 2010 40 413 420 20701955
20. OFallon WM: A mathematical model that improves the validity of osteoarthritis diagnoses obtained from a computerized diagnostic database. Gabriel SE, Crowson CS, J Clin Epidemiol 1996 49 1025 1029 10.1016/0895-4356(96) 00115-1 8780612 (Pubitemid 26319037)
21. A Comparison of Medical Record with Billing Diagnostic Information Associated with Ambulatory Medical-Care. Studney DR, Hakstian AR, Am J Public Health 1981 71 145 149 10.2105/AJPH.71.2.145 7457683 (Pubitemid 11167210)
22. Ability of Medicare claims data and cancer registries to identify cancer cases and treatment. McClish DK, Penberthy L, Whittemore M, Newschaffer C, Woolard D, Desch CE, et al. Am J Epidemiol 1997 145 227 233 10.1093/ oxfordjournals.aje.a009095 9012595 (Pubitemid 27057174)
23. Effective factors on accuracy of principal diagnosis coding based on International Classification of Diseases, the 10th revision (ICD-10). Farzandipour M, Sheikhtaheri A, Sadoughi F, Int J Inf Manage 2010 30 78 84 10.1016/j.ijinfomgt.2009.07.002
24. Patient gender and communication with physicians: results of a community-based study. Hall JA, Roter DL, Womens Health 1995 1 77 95 9373374
25. Effect of physician and patient gender concordance on patient satisfaction and preventive care practices. Schmittdiel J, Grumbach K, Selby JV, Quesenberry CP, J Gen Intern Med 2000 15 761 769 10.1046/j.1525-1497.2000. 91156.x 11119167
26. Physician gender effects in medical communication-A meta-analytic review. Roter DL, Hall JA, Aoki Y, JAMA 2002 288 756 764 10.1001/jama.288.6.756 12169083 (Pubitemid 34848232)
27. Do patients talk differently to male and female physicians? A meta-analytic review. Hall JA, Roter DL, Patient Educ Couns 2002 48 217 224 10.1016/S0738-3991(02)00174-X 12477606 (Pubitemid 35449670)
28. Cognitive load theory and the format of instruction. Chandler P, Sweller J, Cogn Instr 1991 8 293 332 10.1207/s1532690xci0804/2
29. Identification of dementia: Agreement among national survey data, medicare claims, and death certificates. Ostbye T, Taylor DH, Clipp EC, Van Scoyoc L, Plassman BL, Health Serv Res 2008 43 313 326 18211532 (Pubitemid 351601522)
30. Comparison of survey and physician claims data for detecting hypertension. Muhajarine N, Mustard C, Roos LL, Young TK, Gelskey DE, J Clin Epidemiol 1997 50 711 718 10.1016/S0895-4356(97)00019-X 9250269 (Pubitemid 27341821)
31. Accuracy of Syndrome Definitions Based on Diagnoses in Physician Claims. Cadieux G, Buckeridge DL, Jacques A, Libman M, Dendukuri N, BMC Public Health 2011 11 17 26 10.1186/1471-2458-11-17 21211054
32. Utility of International Classification of Diseases, Ninth Revision, Clinical Modification Codes for Communicable Disease Surveillance. Sickbert-Bennett EE, Weber DJ, Poole C, MacDonald PDM, Maillard JM, Am J Epidemiol 2010 172 1299 1305 10.1093/aje/kwq285 20876668
33. Regie de l'assurance-maladie du Quebec. Statistiques Annuelles 2000 46 48 Regie de l'assurance-maladie du Quebec. Ref Type: Report
34. Centers for Disease Control and Prevention. Syndrome Definitions for Diseases Associated with Critical Bioterrorism-associated Agents 1 29 http://www.bt.cdc.gov/surveillance/syndromedef/ 10-23-2003. Ref Type: Report
35. Code-based syndromic surveillance for influenzalike illness by international classification of diseases, ninth revision. Marsden-Haug N, Foster VB, Gould PL, Elbert E, Wang HL, Pavlin JA, Emerg Infect Dis 2007 13 207 216 10.3201/eid1302.060557 17479881 (Pubitemid 46193162)
36. Accuracy of Syndrome Definitions Based on Diagnoses in Physician Claims. Cadieux G, Buckeridge DL, Jacques A, Libman M, Dendukuri N, BMC Public Health BioMed Central 2011 11 17 8410092
37. A Deprivation Index for Health and Welfare Planning in Quebec. Pampalon R, Raymond G, Chronic Dis Can 2000 21 113 122 11082346
38. A deprivation index for health planning in Canada. Pampalon R, Hamel D, Gamache P, Raymond G, Chronic Dis Can 2009 29 178 191 19804682
39. Measures of Memory. Richardson-Klavehn A, Bjork RA, Annu Rev Psychol 1988 39 475 543 10.1146/annurev.ps.39.020188.002355
40. The "Meaningful Use" Regulation for Electronic Health Records. Blumenthal D, Tavenner M, N Engl J Med 2010 363 501 504 10.1056/NEJMp1006114 20647183
41. Centers for Disease Control and Prevention. PHIN Messaging Guide for Syndromic Surveillance 2011 1 127 http://www.cdc.gov/phin/library/guides/ Syndromic/Surveillance/Implementation/Guide/Release/1/4.pdf Centers for Disease Control and Prevention. Ref Type: Report