Limited validity of diagnosis codes in Medicare claims for identifying cancer metastases and inferring stage

被引:58
作者
Chawla, Neetu [1 ,2 ]
Yabroff, K. Robin [2 ]
Mariotto, Angela [3 ]
McNeel, Timothy S. [4 ]
Schrag, Deborah [5 ]
Warren, Joan L. [2 ]
机构
[1] NCI, Outcomes Res Branch, Appl Res Program, Div Canc Control & Populat Sci, Rockville, MD 20850 USA
[2] NCI, Hlth Serv & Econ Branch, Appl Res Program, Div Canc Control & Populat Sci, Rockville, MD 20850 USA
[3] NCI, Data Modeling Branch, Surveillance Res Program, Div Canc Control & Populat Sci, Rockville, MD 20850 USA
[4] Informat Management Serv Inc, Calverton, MD USA
[5] Dana Farber Canc Inst, Boston, MA 02115 USA
关键词
Cancer; Metastasis; SEER; Registry; Medicare claims; Stage at diagnosis; BREAST-CANCER; SURVIVAL; IDENTIFICATION; CHEMOTHERAPY; UTILITY; DISEASE; DEATH; WOMEN;
D O I
10.1016/j.annepidem.2014.06.099
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Purpose: Researchers are using diagnosis codes from health claims to identify metastatic disease in cancer patients. The validity of this approach has not been established. Methods: We used the linked 2005-2007 Surveillance, Epidemiology and End Results (SEER)-Medicare data to assess the validity of metastasis codes at diagnosis from claims compared with stage reported by SEER cancer registries. The cohort included 80,052 incident breast, lung, and colorectal cancer patients aged 65 years and older. Using gold-standard SEER data, we evaluated sensitivity, specificity, positive predictive value, and negative predictive value of claims-based stage, survival by stage classification, and patient factors associated with stage misclassification using multivariable regression. Results: For patients with a registry report of distant metastatic cancer, the sensitivity, specificity, and positive predictive value of claims never simultaneously exceeded 80% for any cancer: lung (42.7%, 94.8%, and 88.1%), breast (51.0%, 98.3%, and 65.8%), and Colorectal (72.8%, 93.8%, and 68.5%). Misclassification of stage from Medicare claims was significantly associated with inaccurate estimates of stage-specific survival (P < .001). In adjusted analysis, patients who were older, black, or living in low-income areas were more likely to have their stage misclassified in claims. Conclusions: Diagnosis codes in Medicare claims have limited validity for inferring cancer stage and metastatic disease. Published by Elsevier Inc.
引用
收藏
页码:666 / 672
页数:7
相关论文
共 26 条
  • [1] Using Natural Language Processing to Improve Efficiency of Manual Chart Abstraction in Research: The Case of Breast Cancer Recurrence
    Carrell, David S.
    Halgrim, Scott
    Diem-Thy Tran
    Buist, Diana S. M.
    Chubak, Jessica
    Chapman, Wendy W.
    Savova, Guergana
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2014, 179 (06) : 749 - 758
  • [2] The modifying effect of patient location on stage-specific survival following colorectal cancer using geosurvival models
    Chien, Lung-Chang
    Schootman, Mario
    Pruitt, Sandi L.
    [J]. CANCER CAUSES & CONTROL, 2013, 24 (03) : 473 - 484
  • [3] Administrative Data Algorithms to Identify Second Breast Cancer Events Following Early-Stage Invasive Breast Cancer
    Chubak, Jessica
    Yu, Onchee
    Pocobelli, Gaia
    Lamerato, Lois
    Webster, Joe
    Prout, Marianne N.
    Yood, Marianne Ulcickas
    Barlow, William E.
    Buist, Diana S. M.
    [J]. JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2012, 104 (12): : 931 - 940
  • [4] The utility of Medicare claims data for measuring cancer stage
    Cooper, GS
    Yuan, Z
    Stange, KC
    Amini, SB
    Dennis, LK
    Rimm, AA
    [J]. MEDICAL CARE, 1999, 37 (07) : 706 - 711
  • [5] Utility of administrative claims data for the study of brain metastases: a validation study
    Eichler, April F.
    Lamont, Elizabeth B.
    [J]. JOURNAL OF NEURO-ONCOLOGY, 2009, 95 (03) : 427 - 431
  • [6] Identification in administrative databases of women dying of breast cancer
    Gagnon, B
    Mayo, NE
    Laurin, C
    Hanley, JA
    McDonald, N
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2006, 24 (06) : 856 - 862
  • [7] Hassett MJ., 2012, Med Care, P1
  • [8] Differences in Late-Stage Diagnosis, Treatment, and Colorectal Cancer-Related Death Between Rural and Urban African Americans and Whites in Georgia
    Hines, Robert B.
    Markossian, Talar W.
    [J]. JOURNAL OF RURAL HEALTH, 2012, 28 (03) : 296 - 305
  • [9] A refined comorbidity measurement algorithm for claims-based studies of breast, prostate, colorectal, and lung cancer patients
    Klabunde, Carrie N.
    Legler, Julie M.
    Warren, Joan L.
    Baldwin, Laura-Mae
    Schrag, Deborah
    [J]. ANNALS OF EPIDEMIOLOGY, 2007, 17 (08) : 584 - 590
  • [10] Measuring disease-free survival and cancer relapse using medicare claims from CALGB breast cancer trial participants (companion to 9344)
    Lamont, Elizabeth B.
    Herndon, James E., II
    Weeks, Jane C.
    Henderson, I. Craig
    Earle, Craig C.
    Schilsky, Richard L.
    Christakis, Nicholas A.
    [J]. JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2006, 98 (18) : 1335 - 1338