Literature DB >> 22410411

Sensitivity of Medicare claims data for measuring use of standard multiagent chemotherapy regimens.

Elizabeth B Lamont1, Lan Lan.   

Abstract

PURPOSE: We sought to determine the accuracy with which Medicare billing data documents elderly Medicare cancer patients' receipt of common multiagent chemotherapy regimens.
METHODS: We merged gold-standard clinical trial data from 406 elderly cancer patients known to be treated on 1 of 6 Cancer and Leukemia Group B (CALGB) breast, colorectal, and lung cancer trials (trial numbers; 9344, 9730, 9235,9732, 80203, 89803) with their Medicare claims data from Centers for Medicare and Medicaid Services (CMS). Comparing CMS chemotherapy codes to gold-standard CALGB treatment data, we estimated Medicare data's sensitivity at measuring the correct drugs and schedule for each of the multiagent chemotherapy regimens.
RESULTS: Overall 92% (375/406) of CALGB patients had contemporaneous CMS claims indicating receipt of chemotherapy. The overall sensitivity of CMS ambulatory claims for documenting treatment with the correct drugs and on the correct schedule (ie, all drugs had to be billed on the same day) for the 5 common multiagent chemotherapy regimens was 78% (275/354) for those potentially treated in the ambulatory setting. The sensitivity was similar for all treatment regimens: carboplatin and paclitaxel 83%, 5-fluorouracil and leucovorin 80%, fluorouracil, leucovorin, and irinotecan (FOLFIRI) 76%, doxorubicin and cyclophosphamide 75%, and cisplatin and etoposide 75%.
CONCLUSIONS: We correctly identified at least 3-quarters of elderly Medicare cancer patients treated on a clinical trial with standard first-line multiagent chemotherapy regimens in the ambulatory setting by applying coding algorithms to their CMS claims. The algorithms may be useful in identifying cohorts of elderly Medicare patients for observational studies of the comparative effectiveness of standard multiagent chemotherapy regimens.

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Year:  2014        PMID: 22410411      PMCID: PMC3376655          DOI: 10.1097/MLR.0b013e31824e342f

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


  17 in total

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2.  Underrepresentation of patients 65 years of age or older in cancer-treatment trials.

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3.  Enrollment of older persons in cancer trials after the medicare reimbursement policy change.

Authors:  Cary P Gross; Natalie Wong; Joel A Dubin; Susan T Mayne; Harlan M Krumholz
Journal:  Arch Intern Med       Date:  2005-07-11

4.  Mortality associated with irinotecan plus bolus fluorouracil/leucovorin: summary findings of an independent panel.

Authors:  M L Rothenberg; N J Meropol; E A Poplin; E Van Cutsem; S Wadler
Journal:  J Clin Oncol       Date:  2001-09-15       Impact factor: 44.544

5.  A phase III trial evaluating the combination of cisplatin, etoposide, and radiation therapy with or without tamoxifen in patients with limited-stage small cell lung cancer: Cancer and Leukemia Group B Study (9235).

Authors:  Edward F McClay; Jeff Bogart; James E Herndon; Dee Watson; Lisa Evans; Steven L Seagren; Mark R Green
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6.  Evaluation of trends in the cost of initial cancer treatment.

Authors:  Joan L Warren; K Robin Yabroff; Angela Meekins; Marie Topor; Elizabeth B Lamont; Martin L Brown
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7.  Participation in cancer clinical trials: race-, sex-, and age-based disparities.

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Authors:  Beth A Virnig; Joan L Warren; Gregory S Cooper; Carrie N Klabunde; Nicola Schussler; Jean Freeman
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

9.  Effect of addition of adjuvant paclitaxel on radiotherapy delivery and locoregional control of node-positive breast cancer: cancer and leukemia group B 9344.

Authors:  Carolyn I Sartor; Bercedis L Peterson; Susan Woolf; Thomas J Fitzgerald; Frances Laurie; Andrew J Turrisi; Jeff Bogart; I Craig Henderson; Larry Norton
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10.  The National Cancer Data Base: a powerful initiative to improve cancer care in the United States.

Authors:  Karl Y Bilimoria; Andrew K Stewart; David P Winchester; Clifford Y Ko
Journal:  Ann Surg Oncol       Date:  2008-01-09       Impact factor: 5.344

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Journal:  J Oncol Pract       Date:  2016-06-28       Impact factor: 3.840

2.  Combining structured and unstructured data to identify a cohort of ICU patients who received dialysis.

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Journal:  J Am Med Inform Assoc       Date:  2014-01-02       Impact factor: 4.497

3.  Generalizability of trial results to elderly Medicare patients with advanced solid tumors (Alliance 70802).

Authors:  Elizabeth B Lamont; Richard L Schilsky; Yulei He; Hyman Muss; Harvey Jay Cohen; Arti Hurria; Ashley Meilleur; Hedy L Kindler; Alan Venook; Rogerio Lilenbaum; Harvey Niell; Richard M Goldberg; Steven Joffe
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4.  Algorithm to Identify Systemic Cancer Therapy Treatment Using Structured Electronic Data.

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5.  Intended versus inferred management after PET for cancer restaging: analysis of Medicare claims linked to a coverage with evidence development registry.

Authors:  Bruce E Hillner; Tor D Tosteson; Anna N A Tosteson; Qianfei Wang; Yunjie Song; Tracy Onega; Lucy G Hanna; Barry A Siegel
Journal:  Med Care       Date:  2013-04       Impact factor: 2.983

6.  Preliminary Development and Evaluation of an Algorithm to Identify Breast Cancer Chemotherapy Toxicities Using Electronic Medical Records and Administrative Data.

Authors:  Jeanne S Mandelblatt; Karl Huang; Solomon B Makgoeng; Gheorghe Luta; Jun X Song; Michelle Tallarico; Janise M Roh; Julie R Munneke; Cathie A Houlston; Meghan E McGuckin; Ling Cai; Grace Clarke Hillyer; Dawn L Hershman; Alfred I Neugut; Claudine Isaacs; Larry Kushi
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7.  Intended versus inferred care after PET performed for initial staging in the National Oncologic PET Registry.

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8.  An Evaluation of the Utility of Big Data to Supplement Cancer Treatment Information: Linkage Between IQVIA Pharmacy Database and the Surveillance, Epidemiology, and End Results Program.

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  8 in total

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