The usefulness of collecting data from discharge abstracts to estimate cancer incidence

Data Collection and Storage

Volumn , Issue , 2011, Pages 1-25

  Quantin, Catherine ^a,b   Benzenine, Eric ^b   Abbas, Rachid ^b   Trombert, Béatrice ^c   Hagi, Mathieu ^b   Auverlot, Bertrand ^b   Bouvier, Anne Marie ^b,d   Goldberg, Marcel ^e,f   Rodrigues, Jean Marie ^c  

^a UNIVERSITÉ DE BOURGOGNE   (France)

^b DIJON UNIVERSITY HOSPITAL   (France)

^c UNIVERSITÉ JEAN MONNET   (France)

^d INSERM   (France)

^e CENTRE FOR RESEARCH IN EPIDEMIOLOGY AND POPULATION HEALTH   (France)

^f LABORATOIRE DES SCIENCES DU CLIMAT ET DE L ENVIRONNEMENT   (France)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84891974087     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (76)

1. Kimberly JR, De Pouvourville G, D'Aunno T, editors. The globalization of managerial innovation in health care. Cambridge2008.
2. Proceedings of the 24th International PCS/I Working Conference "Casemix beyond funding contributions for health policy"; 2008; Lisbon.
3. Patient classification systems international:2009 Case Mix Conference. 5 november 2009; BMC Health Services Research2009. p. A20.
4. Puukka E, Stehr-Green P, Becker TM. Measuring the health status gap for American Indians/Alaska Natives: getting closer to the truth. Am J Public Health, 2005 May;95(5):838-43.
5. Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. GLOBOCAN 2008, cancer incidence and mortality worldwide. IARC CancerBase, 2010(10).
6. Hemminki K, Ji J, Brandt A, Mousavi SM, Sundquist J. The Swedish Family-Cancer Database 2009: prospects for histology-specific and immigrant studies. Int J Cancer May, 15;126(10):2259-67.
7. Curado M, Edwards B, Shin H, all. e. Cancer incidence in Five Continents, 2007.
8. Belot A, Grosclaude P, Bossard N, Jougla E, Benhamou E, Delafosse P, et al. Cancer incidence and mortality in France over the period 1980-2005. Rev Epidemiol Sante Publique, 2008 Jun;56(3):159-75.
9. Tubiana M. [Trends in cancer mortality]. Bull Cancer, 1991;78(5):401-3.
10. Powell J. Cancer registration: principles and methods. Data sources and reporting. IARC Sci Publ. 1991(95):29-42.
11. Uhry Z, Colonna M, Remontet L, Grosclaude P, Carre N, Couris CM, et al. Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database. Eur J Epidemiol. 2007;22(9):607-14.
12. Remontet L, Mitton N, Couris CM, Iwaz J, Gomez F, Olive F, et al. Is it possible to estimate the incidence of breast cancer from medicoadministrative databases? Eur J Epidemiol. 2008;23(10):681-8.
13. Couris CM, Polazzi S, Olive F, Remontet L, Bossard N, Gomez F, et al. Breast cancer incidence using administrative data: correction with sensitivity and specificity. J Clin Epidemiol. 2009 Jun;62(6):660-6.
14. Ganry O, Taleb A, Peng J, Raverdy N, Dubreuil A. Evaluation of an algorithm to identify incident breast cancer cases using DRGs data. Eur J Cancer Prev. 2003 Aug;12(4):295-9.
15. McBean AM, Warren JL, Babish JD. Measuring the incidence of cancer in elderly Americans using Medicare claims data. Cancer, 1994 May 1;73(9):2417-25.
16. Remy V, Mathevet P, Vainchtock A. Vulvar and vaginal cancers and dysplasia in France--an analysis of the hospital medical information system (PMSI) database. Eur J Obstet Gynecol Reprod Biol. 2009 Dec;147(2):210-4.
17. Baldi I, Vicari P, Di Cuonzo D, Zanetti R, Pagano E, Rosato R, et al. A high positive predictive value algorithm using hospital administrative data identified incident cancer cases. J Clin Epidemiol. 2008 Apr;61(4):373-9.
18. Wang PS, Walker AM, Tsuang MT, Orav EJ, Levin R, Avorn J. Finding incident breast cancer cases through US claims data and a state cancer registry. Cancer Causes Control, 2001 Apr;12(3):257-65.
19. Goldberg M. [Administrative data bases: could they be useful for epidemiology?]. Rev Epidemiol Sante Publique 2006 Sep;54(4):297-303.
20. McKenzie K, Enraght-Moony EL, Walker SM, McClure RJ, Harrison JE. Accuracy of external cause-of-injury coding in hospital records. Inj Prev. 2009 Feb;15(1):60-4.
21. Misset B, Nakache D, Vesin A, Darmon M, Garrouste-Orgeas M, Mourvillier B, et al. Reliability of diagnostic coding in intensive care patients. Crit Care, 2008;12(4):R95.
22. Lain SJ, Roberts CL, Hadfield RM, Bell JC, Morris JM. How accurate is the reporting of obstetric haemorrhage in hospital discharge data? A validation study. Aust N Z J Obstet Gynaecol. 2008 Oct;48(5):481-4.
23. Lloyd SS, Rissing JP. Physician and coding errors in patient records. JAMA, 1985 Sep 13;254(10):1330-6.
24. Dixon J, Sanderson C, Elliott P, Walls P, Jones J, Petticrew M. Assessment of the reproducibility of clinical coding in routinely collected hospital activity data: a study in two hospitals. J Public Health Med. 1998 Mar;20(1):63-9.
25. Humphries KH, Rankin JM, Carere RG, Buller CE, Kiely FM, Spinelli JJ. Co-morbidity data in outcomes research: are clinical data derived from administrative databases a reliable alternative to chart review? J Clin Epidemiol. 2000 Apr;53(4):343-9.
26. Mahonen M, Salomaa V, Keskimaki I, Moltchanov V, Torppa J, Molarius A, et al. The feasibility of combining data from routine Hospital Discharge and Causes-of-Death Registers for epidemiological studies on stroke. Eur J Epidemiol. 2000;16(9):815-7.
27. Quan H, Parsons GA, Ghali WA. Assessing accuracy of diagnosis-type indicators for flagging complications in administrative data. J Clin Epidemiol. 2004 Apr;57(4):366-72.
28. Hsia DC, Krushat WM, Fagan AB, Tebbutt JA, Kusserow RP. Accuracy of diagnostic coding for Medicare patients under the prospective-payment system. N Engl J Med. 1988 Feb 11;318(6):352-5.
29. Fisher ES, Whaley FS, Krushat WM, Malenka DJ, Fleming C, Baron JA, et al. The accuracy of Medicare's hospital claims data: progress has been made, but problems remain. Am J Public Health, 1992 Feb;82(2):243-8.
30. Leppala JM, Virtamo J, Heinonen OP. Validation of stroke diagnosis in the National Hospital Discharge Register and the Register of Causes of Death in Finland. Eur J Epidemiol. 1999 Feb;15(2):155-60.
31. Geller SE, Ahmed S, Brown ML, Cox SM, Rosenberg D, Kilpatrick SJ. International Classification of Diseases-9th revision coding for preeclampsia: how accurate is it? Am J Obstet Gynecol. 2004 Jun;190(6):1629-33; discussion 33-4.
32. Taylor LK, Travis S, Pym M, Olive E, Henderson-Smart DJ. How useful are hospital morbidity data for monitoring conditions occurring in the perinatal period? Aust N Z J Obstet Gynaecol. 2005 Feb;45(1):36-41.
33. Lydon-Rochelle MT, Holt VL, Cardenas V, Nelson JC, Easterling TR, Gardella C, et al. The reporting of pre-existing maternal medical conditions and complications of pregnancy on birth certificates and in hospital discharge data. Am J Obstet Gynecol. 2005 Jul;193(1):125-34.
34. Yasmeen S, Romano PS, Schembri ME, Keyzer JM, Gilbert WM. Accuracy of obstetric diagnoses and procedures in hospital discharge data. Am J Obstet Gynecol. 2006 Apr;194(4):992-1001.
35. Henderson T, Shepheard J, Sundararajan V. Quality of diagnosis and procedure coding in ICD-10 administrative data. Med Care, 2006 Nov;44(11):1011-9.
36. Peabody JW, Luck J, Jain S, Bertenthal D, Glassman P. Assessing the accuracy of administrative data in health information systems. Med Care, 2004 Nov;42(11):1066-72.
37. Carre N, Uhry Z, Velten M, Tretarre B, Schvartz C, Molinie F, et al. [Predictive value and sensibility of hospital discharge system (PMSI) compared to cancer registries for thyroid cancer (1999-2000)]. Rev Epidemiol Sante Publique, 2006 Sep;54(4):367-76.
38. Couris CM, Foret-Dodelin C, Rabilloud M, Colin C, Bobin JY, Dargent D, et al. [Sensitivity and specificity of two methods used to identify incident breast cancer in specialized units using claims databases]. Rev Epidemiol Sante Publique, 2004 Apr;52(2):151-60.
39. Trombert Paviot B, Martin C, Vercherin P, all. e, editors. From case mix data bases to health geography. . In : Proceedings of the 19th International PCS/E Working Conference, Washington; 2003.
40. Hadfield RM, Lain SJ, Cameron CA, Bell JC, Morris JM, Roberts CL. The prevalence of maternal medical conditions during pregnancy and a validation of their reporting in hospital discharge data. Aust N Z J Obstet Gynaecol. 2008 Feb;48(1):78-82.
41. Klemmensen AK, Olsen SF, Osterdal ML, Tabor A. Validity of preeclampsia-related diagnoses recorded in a national hospital registry and in a postpartum interview of the women. Am J Epidemiol. 2007 Jul 15;166(2):117-24.
42. Kahn EB, Berg CJ, Callaghan WM. Cesarean delivery among women with low-risk pregnancies: a comparison of birth certificates and hospital discharge data. Obstet Gynecol. 2009 Jan;113(1):33-40.
43. Casez P, Labarere J, Sevestre MA, Haddouche M, Courtois X, Mercier S, et al. ICD-10 hospital discharge diagnosis codes were sensitive for identifying pulmonary embolism but not deep vein thrombosis. J Clin Epidemiol. Jul;63(7):790-7.
44. Hasan M, Meara RJ, Bhowmick BK. The quality of diagnostic coding in cerebrovascular disease. Int J Qual Health Care, 1995 Dec;7(4):407-10.
45. McBean AM, Babish JD, Warren JL. Determination of lung cancer incidence in the elderly using Medicare claims data. Am J Epidemiol. 1993 Jan 15;137(2):226-34.
46. McClish DK, Penberthy L, Whittemore M, Newschaffer C, Woolard D, Desch CE, et al. Ability of Medicare claims data and cancer registries to identify cancer cases and treatment. Am J Epidemiol. 1997 Feb 1;145(3):227-33.
47. Couris CM, Seigneurin A, Bouzbid S, Rabilloud M, Perrin P, Martin X, et al. French claims data as a source of information to describe cancer incidence: predictive values of two identification methods of incident prostate cancers. J Med Syst. 2006 Dec;30(6):459-63.
48. Quantin C, Benzenine E, Fassa M, Hägi M, Fournier E, Gentil J, et al. Evaluation of the interest of using discharge abstract databases to estimate breast cancer incidence in two french departments. IJOS2010.
49. Freeman JL, Zhang D, Freeman DH, Goodwin JS. An approach to identifying incident breast cancer cases using Medicare claims data. J Clin Epidemiol. 2000 Jun;53(6):605-14.
50. Hafdi-Nejjari Z, Couris CM, Schott AM, Perrot L, Bourgoin F, Borson-Chazot F, et al. [Role of hospital claims databases from care units for estimating thyroid cancer incidence in the Rhone-Alpes region of France]. Rev Epidemiol Sante Publique, 2006 Oct;54(5):391-8.
51. Koroukian SM, Cooper GS, Rimm AA. Ability of Medicaid claims data to identify incident cases of breast cancer in the Ohio Medicaid population. Health Serv Res. 2003 Jun;38(3):947-60.
52. Leung KM, Hasan AG, Rees KS, Parker RG, Legorreta AP. Patients with newly diagnosed carcinoma of the breast: validation of a claimbased identification algorithm. J Clin Epidemiol. 1999 Jan;52(1):57-64.
53. Uhry Z, Remontet L, Grosclaude P, Velten M, Colonna M. [Estimating the incidence of colorectal cancer in France from a hospital discharge database, 1999-2003]. Rev Epidemiol Sante Publique, 2009 Oct;57(5):329-36.
54. Fisher ES, Baron JA, Malenka DJ, Barrett J, Bubolz TA. Overcoming potential pitfalls in the use of Medicare data for epidemiologic research. Am J Public Health, 1990 Dec;80(12):1487-90.
55. Haynes K, Forde KA, Schinnar R, Wong P, Strom BL, Lewis JD. Cancer incidence in The Health Improvement Network. Pharmacoepidemiol Drug Saf. 2009 Aug;18(8):730-6.
56. Hamilton W, Lancashire R, Sharp D, Peters TJ, Cheng KK, Marshall T. The importance of anaemia in diagnosing colorectal cancer: a case-control study using electronic primary care records. Br J Cancer, 2008 Jan 29;98(2):323-7.
57. Jensen AR, Overgaard J, Storm HH. Validity of breast cancer in the Danish Cancer Registry. A study based on clinical records from one county in Denmark. Eur J Cancer Prev. 2002 Aug;11(4):359-64.
58. Potosky AL, Riley GF, Lubitz JD, Mentnech RM, Kessler LG. Potential for cancer related health services research using a linked Medicare-tumor registry database. Med Care, 1993 Aug;31(8):732-48.
59. Freeman JL, Klabunde CN, Schussler N, Warren JL, Virnig BA, Cooper GS. Measuring breast, colorectal, and prostate cancer screening with medicare claims data. Med Care, 2002 Aug;40(8 Suppl):IV-36-42.
60. Cooper GS, Virnig B, Klabunde CN, Schussler N, Freeman J, Warren JL. Use of SEER-Medicare data for measuring cancer surgery. Med Care, 2002 Aug;40(8 Suppl):IV-43-8.
61. Du X, Freeman JL, Warren JL, Nattinger AB, Zhang D, Goodwin JS. Accuracy and completeness of Medicare claims data for surgical treatment of breast cancer. Med Care, 2000 Jul;38(7):719-27.
62. Virnig BA, Warren JL, Cooper GS, Klabunde CN, Schussler N, Freeman J. Studying radiation therapy using SEER-Medicare-linked data. Med Care, 2002 Aug;40(8 Suppl):IV-49-54.
63. Warren JL, Harlan LC, Fahey A, Virnig BA, Freeman JL, Klabunde CN, et al. Utility of the SEER-Medicare data to identify chemotherapy use. Med Care, 2002 Aug;40(8 Suppl):IV-55-61.
64. Potosky AL, Warren JL, Riedel ER, Klabunde CN, Earle CC, Begg CB. Measuring complications of cancer treatment using the SEERMedicare data. Med Care, 2002 Aug;40(8 Suppl):IV-62-8.
65. Goodwin JS, Zhang DD, Ostir GV. Effect of depression on diagnosis, treatment, and survival of older women with breast cancer. J Am Geriatr Soc. 2004 Jan;52(1):106-11.
66. Lackan NA, Ostir GV, Freeman JL, Mahnken JD, Goodwin JS. Decreasing variation in the use of hospice among older adults with breast, colorectal, lung, and prostate cancer. Med Care, 2004 Feb;42(2):116-22.
67. Quantin C, Binquet C, Allaert FA, Cornet B, Pattisina R, Leteuff G, et al. Decision analysis for the assessment of a record linkage procedure:application to a perinatal network. Methods Inf Med. 2005;44(1):72-9.
68. Quantin C, Bouzelat H, Allaert FA, Benhamiche AM, Faivre J, Dusserre L. How to ensure data security of an epidemiological followup:quality assessment of an anonymous record linkage procedure. Int J Med Inform. 1998 Mar;49(1):117-22.
69. Jaro MA. Probabilistic linkage of large public health data files. Stat Med. 1995 Mar 15-Apr 15;14(5-7):491-8.
70. Cooper GS, Yuan Z, Stange KC, Dennis LK, Amini SB, Rimm AA. The sensitivity of Medicare claims data for case ascertainment of six common cancers. Med Care, 1999 May;37(5):436-44.
71. Warren JL, Feuer E, Potosky AL, Riley GF, Lynch CF. Use of Medicare hospital and physician data to assess breast cancer incidence. Med Care, 1999 May;37(5):445-56.
72. Couris CM, Colin C, Rabilloud M, Schott AM, Ecochard R. Method of correction to assess the number of hospitalized incident breast cancer cases based on claims databases. J Clin Epidemiol 2002 Apr;55(4):386-91.
73. Laporte RE. Assessing the human condition: capture-recapture techniques. BMJ, 1994 Jan 1;308(6920):5-6.
74. McCarty DJ, Tull ES, Moy CS, Kwoh CK, LaPorte RE. Ascertainment corrected rates: applications of capture-recapture methods. Int J Epidemiol. 1993 Jun;22(3):559-65.
75. Ismail AA, Beeching NJ, Gill GV, Bellis MA. How many data sources are needed to determine diabetes prevalence by capture-recapture? Int J Epidemiol. 2000 Jun;29(3):536-41.
76. Quantin C, Fassa M, Coatrieux G, Trouessin G, Allaert FA. Combining hashing and enciphering algorithms for epidemiological analysis of gathered data. Methods Inf Med. 2008;47(5):454-8.