Literature DB >> 31811983

Validity of state cancer registry treatment information for adolescent and young adult women.

Chelsea Anderson1, Christopher D Baggett2, Chandrika Rao3, Lisa Moy4, Lawrence H Kushi4, Chun R Chao5, Hazel B Nichols2.   

Abstract

BACKGROUND: Population-based cancer registries collect information on first course of treatment that may be utilized in research on cancer care quality, yet few studies have investigated the validity of this information. We examined the accuracy and completeness of registry-based treatment information in a cohort of adolescent and young adult women.
METHODS: Women diagnosed with breast cancer, lymphoma, thyroid cancer, cervical/uterine cancer or ovarian cancer at ages 15-39 during 2003-2014 were identified using data from the North Carolina Central Cancer Registry (CCR) (N = 2342). CCR data were linked to Medicaid and private insurance claims data, and claims were reviewed for the 12 months following diagnosis to identify cancer treatments received. Using claims data as the gold standard, we calculated the sensitivity and positive predictive value (PPV) of CCR data for receipt of chemotherapy, radiation and hormone therapy. We also compared dates of treatment initiation between the two data sources.
RESULTS: For all cancer types combined, the sensitivity of the CCR data was high for chemotherapy (86%) and moderate for radiation (74%). PPVs were 82% and 83% for chemotherapy and radiation, respectively. Both the sensitivity (67%) and PPV (70%) were lower for hormone therapy for breast cancer. For all three treatment types, dates of initiation in the registry and the claims differed by ≤30 days for most women.
CONCLUSIONS: In this cohort of young women, population-based cancer registry data on chemotherapy receipt was reasonably accurate and complete in comparison with insurance claims. Radiation and hormone therapy appeared to be less complete.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer registry; Chemotherapy; Positive predictive value; Radiation; Sensitivity; Validity

Mesh:

Year:  2019        PMID: 31811983      PMCID: PMC6983329          DOI: 10.1016/j.canep.2019.101652

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  11 in total

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2.  Information on radiation treatment in patients with breast cancer: the advantages of the linked medicare and SEER data. Surveillance, Epidemiology and End Results.

Authors:  X Du; J L Freeman; J S Goodwin
Journal:  J Clin Epidemiol       Date:  1999-05       Impact factor: 6.437

3.  Big data for population-based cancer research: the integrated cancer information and surveillance system.

Authors:  Anne-Marie Meyer; Andrew F Olshan; Laura Green; Adrian Meyer; Stephanie B Wheeler; Ethan Basch; William R Carpenter
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4.  Underascertainment of radiotherapy receipt in Surveillance, Epidemiology, and End Results registry data.

Authors:  Reshma Jagsi; Paul Abrahamse; Sarah T Hawley; John J Graff; Ann S Hamilton; Steven J Katz
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5.  Validity of cancer registry data for measuring the quality of breast cancer care.

Authors:  Jennifer L Malin; Katherine L Kahn; John Adams; Lorna Kwan; Marianne Laouri; Patricia A Ganz
Journal:  J Natl Cancer Inst       Date:  2002-06-05       Impact factor: 13.506

6.  Quality of cancer registry data: findings from CDC-NPCR's Breast and Prostate Cancer Data Quality and Patterns of Care Study.

Authors:  Robert R German; Jennifer M Wike; Katrina R Bauer; Steven T Fleming; Amy Trentham-Dietz; Mary Namiak; Lyn Almon; Karen Knight; Carin Perkins
Journal:  J Registry Manag       Date:  2011

7.  Assessing the quality of race/ethnicity, tumor, and breast cancer treatment information in a non-SEER state registry.

Authors:  Abigail Silva; Garth H Rauscher; Carol Estwing Ferrans; Kent Hoskins; Ruta Rao
Journal:  J Registry Manag       Date:  2014

8.  Studying radiation therapy using SEER-Medicare-linked data.

Authors:  Beth A Virnig; Joan L Warren; Gregory S Cooper; Carrie N Klabunde; Nicola Schussler; Jean Freeman
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9.  Comparison of SEER Treatment Data With Medicare Claims.

Authors:  Anne-Michelle Noone; Jennifer L Lund; Angela Mariotto; Kathleen Cronin; Timothy McNeel; Dennis Deapen; Joan L Warren
Journal:  Med Care       Date:  2016-09       Impact factor: 3.178

10.  Interrater reliability: the kappa statistic.

Authors:  Mary L McHugh
Journal:  Biochem Med (Zagreb)       Date:  2012       Impact factor: 2.313

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5.  The Adolescent and Young Adult (AYA) Horizon Study: An AYA Cancer Survivorship Cohort.

Authors:  Chun R Chao; Lawrence H Kushi; Hazel B Nichols; Chris D Baggett; Stephanie M Engel; Darios Getahun; Chelsea Anderson; Nancy T Cannizzaro; Laura Green; Parul Gupta; Cecile A Laurent; Paul C Lin; Clare Meernik; Lisa M Moy; Ethan Wantman; Lanfang Xu; Marilyn L Kwan; Jennifer E Mersereau
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-02-22       Impact factor: 4.090

  5 in total

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