Literature DB >> 10752973

Agreement of Medicare claims and tumor registry data for assessment of cancer-related treatment.

G S Cooper1, Z Yuan, K C Stange, L K Dennis, S B Amini, A A Rimm.   

Abstract

BACKGROUND: Although health claims data are increasingly used in evaluating variations in patterns of cancer care and outcomes, little is known about the comparability of these data with tumor registry information.
OBJECTIVES: To evaluate the agreement between Medicare claims and tumor registry data in measuring patterns of diagnostic and therapeutic procedures for older cancer patients. RESEARCH
DESIGN: Analysis of a database linking Surveillance, Epidemiology and End Results (SEER) registry data and Medicare claims in patients aged > or =65 years with cancer.
SUBJECTS: 361,255 Medicare patients with invasive breast, colorectal, endometrial, lung, pancreatic, and prostate cancer diagnosed between 1984 and 1993. MEASURES: Concordance of SEER files with corresponding Medicare claims.
RESULTS: Medicare claims generally identified patients who underwent resection and radical surgery according to SEER (ie, concordance > or =85%-90%) but less likely biopsy or local excision (ie, concordance < or =50%). In some instances, claims also categorized patients as having more invasive surgery than was listed in SEER and also provided incremental information about the use of surgical treatment after 4 months. SEER files and, to a lesser degree, Medicare claims identified radiation therapy not included in the other data source, and Medicare files also captured a significant number of patients with codes for chemotherapy.
CONCLUSIONS: Medicare files may be appropriate for studies of patterns of use of surgical treatment, but not for diagnostic procedures. The potential benefit of Medicare claims in identifying delayed surgical intervention and chemotherapy deserves further study.

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Year:  2000        PMID: 10752973     DOI: 10.1097/00005650-200004000-00008

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  45 in total

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Authors:  Nancy L Keating; A James O'Malley; Stephen J Freedland; Matthew R Smith
Journal:  Eur Urol       Date:  2012-04-19       Impact factor: 20.096

2.  External validation of medicare claims for breast cancer chemotherapy compared with medical chart reviews.

Authors:  Xianglin L Du; Charles R Key; Lois Dickie; Ronald Darling; Jane M Geraci; Dong Zhang
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3.  Surgical outcomes research based on administrative data: inferior or complementary to prospective randomized clinical trials?

Authors:  Ulrich Guller
Journal:  World J Surg       Date:  2006-03       Impact factor: 3.352

4.  Information on chemotherapy and hormone therapy from tumor registry had moderate agreement with chart reviews.

Authors:  Xianglin L Du; Charles R Key; Lois Dickie; Ronald Darling; George L Delclos; Kim Waller; Dong Zhang
Journal:  J Clin Epidemiol       Date:  2005-09-30       Impact factor: 6.437

5.  Utility of administrative claims data for the study of brain metastases: a validation study.

Authors:  April F Eichler; Elizabeth B Lamont
Journal:  J Neurooncol       Date:  2009-06-27       Impact factor: 4.130

6.  Barriers to therapeutic clinical trials enrollment: differences between African-American and white cancer patients identified at the time of eligibility assessment.

Authors:  Lynne Penberthy; Richard Brown; Maureen Wilson-Genderson; Bassam Dahman; Gordon Ginder; Laura A Siminoff
Journal:  Clin Trials       Date:  2012-10-02       Impact factor: 2.486

7.  Treatment patterns for prostate cancer: comparison of Medicare claims data to medical record review.

Authors:  Steven T Fleming; Ann S Hamilton; Susan A Sabatino; Gretchen G Kimmick; Xiao-Cheng Wu; Jean B Owen; Bin Huang; Wenke Hwang
Journal:  Med Care       Date:  2014-09       Impact factor: 2.983

8.  Androgen-deprivation therapy and diabetes control among diabetic men with prostate cancer.

Authors:  Nancy L Keating; Pang-Hsiang Liu; A James O'Malley; Stephen J Freedland; Matthew R Smith
Journal:  Eur Urol       Date:  2013-02-22       Impact factor: 20.096

9.  A method to predict breast cancer stage using Medicare claims.

Authors:  Grace L Smith; Ya-Chen T Shih; Sharon H Giordano; Benjamin D Smith; Thomas A Buchholz
Journal:  Epidemiol Perspect Innov       Date:  2010-01-15

10.  Is hospital discharge administrative data an appropriate source of information for cancer registries purposes? Some insights from four Spanish registries.

Authors:  Enrique E Bernal-Delgado; Carmen Martos; Natalia Martínez; María Dolores Chirlaque; Mirari Márquez; Carmen Navarro; Lauro Hernando; Joaquín Palomar; Isabel Izarzugaza; Nerea Larrañaga; Olatz Mokoroa; M Cres Tobalina; Joseba Bidaurrazaga; María José Sánchez; Carmen Martínez; Miguel Rodríguez; Esther Pérez; Yoe Ling Chang
Journal:  BMC Health Serv Res       Date:  2010-01-08       Impact factor: 2.655

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