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Comparison of SEER Treatment Data With Medicare Claims

BACKGROUND: The population-based Surveillance, Epidemiology, and End Results (SEER) registries collect information on first-course treatment, including surgery, chemotherapy, radiation therapy, and hormone therapy. However, the SEER program does not release data on chemotherapy or hormone therapy du...

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Autores principales: Noone, Anne-Michelle, Lund, Jennifer L., Mariotto, Angela, Cronin, Kathleen, McNeel, Timothy, Deapen, Dennis, Warren, Joan L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981219/
https://www.ncbi.nlm.nih.gov/pubmed/24638121
http://dx.doi.org/10.1097/MLR.0000000000000073
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author Noone, Anne-Michelle
Lund, Jennifer L.
Mariotto, Angela
Cronin, Kathleen
McNeel, Timothy
Deapen, Dennis
Warren, Joan L.
author_facet Noone, Anne-Michelle
Lund, Jennifer L.
Mariotto, Angela
Cronin, Kathleen
McNeel, Timothy
Deapen, Dennis
Warren, Joan L.
author_sort Noone, Anne-Michelle
collection PubMed
description BACKGROUND: The population-based Surveillance, Epidemiology, and End Results (SEER) registries collect information on first-course treatment, including surgery, chemotherapy, radiation therapy, and hormone therapy. However, the SEER program does not release data on chemotherapy or hormone therapy due to uncertainties regarding data completeness. Activities are ongoing to investigate the opportunity to supplement SEER treatment data with other data sources. METHODS: Using the linked SEER-Medicare data, we examined the validity of the SEER data to identify receipt of chemotherapy and radiation therapy among those aged 65 and older diagnosed from 2000 to 2006 with bladder, female breast, colorectal, lung, ovarian, pancreas, or prostate cancer and hormone therapy among men diagnosed with prostate cancer at age 65 or older. Treatment collected by SEER was compared with treatment as determined by Medicare claims, using Medicare claims as the gold standard. The κ, sensitivity, specificity, positive predictive values, and negative predictive values were calculated for the receipt of each treatment modality. RESULTS: The overall sensitivity of SEER data to identify chemotherapy, radiation, and hormone therapy receipt was moderate (68%, 80%, and 69%, respectively) and varied by cancer site, stage, and patient characteristics. The overall positive predictive value was high (>85%) for all treatment types and cancer sites except chemotherapy for prostate cancer. CONCLUSIONS: SEER data should not generally be used for comparisons of treated and untreated individuals or to estimate the proportion of treated individuals in the population. Augmenting SEER data with other data sources will provide the most accurate treatment information.
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spelling pubmed-49812192016-08-26 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. Med Care Applied Methods BACKGROUND: The population-based Surveillance, Epidemiology, and End Results (SEER) registries collect information on first-course treatment, including surgery, chemotherapy, radiation therapy, and hormone therapy. However, the SEER program does not release data on chemotherapy or hormone therapy due to uncertainties regarding data completeness. Activities are ongoing to investigate the opportunity to supplement SEER treatment data with other data sources. METHODS: Using the linked SEER-Medicare data, we examined the validity of the SEER data to identify receipt of chemotherapy and radiation therapy among those aged 65 and older diagnosed from 2000 to 2006 with bladder, female breast, colorectal, lung, ovarian, pancreas, or prostate cancer and hormone therapy among men diagnosed with prostate cancer at age 65 or older. Treatment collected by SEER was compared with treatment as determined by Medicare claims, using Medicare claims as the gold standard. The κ, sensitivity, specificity, positive predictive values, and negative predictive values were calculated for the receipt of each treatment modality. RESULTS: The overall sensitivity of SEER data to identify chemotherapy, radiation, and hormone therapy receipt was moderate (68%, 80%, and 69%, respectively) and varied by cancer site, stage, and patient characteristics. The overall positive predictive value was high (>85%) for all treatment types and cancer sites except chemotherapy for prostate cancer. CONCLUSIONS: SEER data should not generally be used for comparisons of treated and untreated individuals or to estimate the proportion of treated individuals in the population. Augmenting SEER data with other data sources will provide the most accurate treatment information. Lippincott Williams & Wilkins 2016-09 2016-08-22 /pmc/articles/PMC4981219/ /pubmed/24638121 http://dx.doi.org/10.1097/MLR.0000000000000073 Text en Copyright © 2014 Wolters Kluwer Health, Inc. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially. http://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Applied Methods
Noone, Anne-Michelle
Lund, Jennifer L.
Mariotto, Angela
Cronin, Kathleen
McNeel, Timothy
Deapen, Dennis
Warren, Joan L.
Comparison of SEER Treatment Data With Medicare Claims
title Comparison of SEER Treatment Data With Medicare Claims
title_full Comparison of SEER Treatment Data With Medicare Claims
title_fullStr Comparison of SEER Treatment Data With Medicare Claims
title_full_unstemmed Comparison of SEER Treatment Data With Medicare Claims
title_short Comparison of SEER Treatment Data With Medicare Claims
title_sort comparison of seer treatment data with medicare claims
topic Applied Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981219/
https://www.ncbi.nlm.nih.gov/pubmed/24638121
http://dx.doi.org/10.1097/MLR.0000000000000073
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