The utility of Medicare claims data for measuring cancer stage

被引:85
|
作者
Cooper, GS
Yuan, Z
Stange, KC
Amini, SB
Dennis, LK
Rimm, AA
机构
[1] Case Western Reserve Univ, Dept Med, Cleveland, OH 44106 USA
[2] Case Western Reserve Univ, Dept Epidemiol & Biostat, Cleveland, OH 44106 USA
[3] Case Western Reserve Univ, Dept Family Med, Cleveland, OH 44106 USA
[4] Case Western Reserve Univ, Canc Res Ctr, Cleveland, OH 44106 USA
关键词
breast neoplasms; colorectal neoplasms; endometrial neoplasms; lung neoplasms; pancreatic neoplasms; prostatic neoplasms; Medicare; stage;
D O I
10.1097/00005650-199907000-00010
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
BACKGROUND, The validity of using claims data for measuring tumor stage, one of he most important determinants of choice of therapy and longterm survival, is unknown. OBJECTIVES. TO determine the relative accuracy of both inpatient and hospital Outpatient Medicare claims for measuring the stage of disease of six commonly diagnosed cancers. RESEARCH DESIGN. Analysis of a database linking Surveillance, Epidemiology, and End Results (SEER) registry data and Medicare claims in patients aged 65 years with cancer, SUBJECTS. Three hundred twenty thousand, six hundred and thirty seven cases of invasive breast, colorectal, endometrial, lung, pancreatic, and prostate cancers diagnosed between 1984 and 1993. MEASURES. Using SEER files as the "gold standard," concordance with Medicare claims, as well as sensitivity and positive predictive value of coding for each stage was measured. RESULTS. Although Medicare data correctly categorized local, regional, and distant stage tumors in 97%, 33%, and 65%, respectively, the data substantially overestimated the proportion of localized tumors and underestimated the rate of regional stage disease. The highest concordance was observed for breast and colorectal cancer, However, the sensitivity and positive predictive values were never simultaneously 80% within one stage of a specific cancer. The accuracy of coding for stage in Outpatient files was inferior to inpatient data. CONCLUSIONS. With few exceptions, Medicare claims have limited utility as a measure of cancer stage. If: tumor registry data are not available, investigators should consider the trade offs in sensitivity and predictive value when considering a study that will use claims data.
引用
收藏
页码:706 / 711
页数:6
相关论文
共 50 条
  • [31] An algorithm for the use of Medicare claims data to identify women with incident breast cancer
    Nattinger, AB
    Laud, PW
    Bajorunaite, R
    Sparapani, RA
    Freeman, JL
    HEALTH SERVICES RESEARCH, 2004, 39 (06) : 1733 - 1749
  • [32] An approach to identifying incident breast cancer cases using Medicare claims data
    Freeman, JL
    Zhang, D
    Freeman, DH
    Goodwin, JS
    JOURNAL OF CLINICAL EPIDEMIOLOGY, 2000, 53 (06) : 605 - 614
  • [33] DETERMINATION OF LUNG-CANCER INCIDENCE IN THE ELDERLY USING MEDICARE CLAIMS DATA
    MCBEAN, AM
    BABISH, JD
    WARREN, JL
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 1993, 137 (02) : 226 - 234
  • [34] Comparison of SEER Treatment Data With Medicare Claims
    Noone, Anne-Michelle
    Lund, Jennifer L.
    Mariotto, Angela
    Cronin, Kathleen
    McNeel, Timothy
    Deapen, Dennis
    Warren, Joan L.
    MEDICAL CARE, 2016, 54 (09) : E55 - E64
  • [35] Where are the medicare Part D claims data?
    Stuart, Bruce
    ANNALS OF INTERNAL MEDICINE, 2008, 148 (03) : 239 - 240
  • [36] Finding married couples in medicare claims data
    Iwashyna T.J.
    Brennan G.
    Zhang J.X.
    Christakis N.A.
    Health Services and Outcomes Research Methodology, 2002, 3 (1) : 75 - 86
  • [37] Time to Release Medicare Advantage Claims Data
    Brennan, Niall
    Ornstein, Charles
    Frakt, Austin B.
    JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2018, 319 (10): : 975 - 976
  • [38] Identifying Cancer-Directed Surgeries in medicare Claims: A Validation Study Using SEER-Medicare Data
    Lavery, Jessica A.
    Lipitz-Snyderman, Allison
    Li, Diane G.
    Bach, Peter B.
    Panageas, Katherine S.
    JCO CLINICAL CANCER INFORMATICS, 2019, 3 : 1 - 24
  • [39] INTERNAL VALIDATION OF MEDICARE CLAIMS DATA - REPLY
    BARRETT, JA
    BARON, JA
    LUYAO, G
    EPIDEMIOLOGY, 1995, 6 (03) : 342 - 342
  • [40] An Index for Measuring Overuse of Health Care Resources With Medicare Claims
    Segal, Jodi B.
    Nassery, Najlla
    Chang, Hsien-Yen
    Chang, Eva
    Chan, Kitty
    Bridges, John F. P.
    MEDICAL CARE, 2015, 53 (03) : 230 - 236