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Underutilization and disparities in access to EGFR testing among Medicare patients with lung cancer from 2010 – 2013

BACKGROUND: Tumor testing for mutations in the epidermal growth factor receptor (EGFR) gene is indicated for all newly diagnosed, metastatic lung cancer patients, who may be candidates for first-line treatment with an EGFR tyrosine kinase inhibitor. Few studies have analyzed population-level testing...

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Autores principales: Lynch, Julie A., Berse, Brygida, Rabb, Merry, Mosquin, Paul, Chew, Rob, West, Suzanne L., Coomer, Nicole, Becker, Daniel, Kautter, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859516/
https://www.ncbi.nlm.nih.gov/pubmed/29554880
http://dx.doi.org/10.1186/s12885-018-4190-3
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author Lynch, Julie A.
Berse, Brygida
Rabb, Merry
Mosquin, Paul
Chew, Rob
West, Suzanne L.
Coomer, Nicole
Becker, Daniel
Kautter, John
author_facet Lynch, Julie A.
Berse, Brygida
Rabb, Merry
Mosquin, Paul
Chew, Rob
West, Suzanne L.
Coomer, Nicole
Becker, Daniel
Kautter, John
author_sort Lynch, Julie A.
collection PubMed
description BACKGROUND: Tumor testing for mutations in the epidermal growth factor receptor (EGFR) gene is indicated for all newly diagnosed, metastatic lung cancer patients, who may be candidates for first-line treatment with an EGFR tyrosine kinase inhibitor. Few studies have analyzed population-level testing. METHODS: We identified clinical, demographic, and regional predictors of EGFR & KRAS testing among Medicare beneficiaries with a new diagnosis of lung cancer in 2011–2013 claims. The outcome variable was whether the patient underwent molecular, EGFR and KRAS testing. Independent variables included: patient demographics, Medicaid status, clinical characteristics, and region where the patient lived. We performed multivariate logistic regression to identify factors that predicted testing. RESULTS: From 2011 to 2013, there was a 19.7% increase in the rate of EGFR testing. Patient zip code had the greatest impact on odds to undergo testing; for example, patients who lived in the Boston, Massachusetts hospital referral region were the most likely to be tested (odds ratio (OR) of 4.94, with a 95% confidence interval (CI) of 1.67–14.62). Patient demographics also impacted odds to be tested. Asian/Pacific Islanders were most likely to be tested (OR 1.63, CI 1.53–1.79). Minorities and Medicaid patients were less likely to be tested. Medicaid recipients had an OR of 0.74 (CI 0.72–0.77). Hispanics and Blacks were also less likely to be tested (OR 0.97, CI 0.78–0.99 and 0.95, CI 0.92–0.99), respectively. Clinical procedures were also correlated with testing. Patients who underwent transcatheter biopsies were 2.54 times more likely to be tested (CI 2.49–2.60) than those who did not undergo this type of biopsy. CONCLUSIONS: Despite an overall increase in EGFR testing, there is widespread underutilization of guideline-recommended testing. We observed racial, income, and regional disparities in testing. Precision medicine has increased the complexity of cancer diagnosis and treatment. Targeted interventions and clinical decision support tools are needed to ensure that all patients are benefitting from advances in precision medicine. Without such interventions, precision medicine may exacerbate racial disparities in cancer care and health outcomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-018-4190-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-58595162018-03-20 Underutilization and disparities in access to EGFR testing among Medicare patients with lung cancer from 2010 – 2013 Lynch, Julie A. Berse, Brygida Rabb, Merry Mosquin, Paul Chew, Rob West, Suzanne L. Coomer, Nicole Becker, Daniel Kautter, John BMC Cancer Research Article BACKGROUND: Tumor testing for mutations in the epidermal growth factor receptor (EGFR) gene is indicated for all newly diagnosed, metastatic lung cancer patients, who may be candidates for first-line treatment with an EGFR tyrosine kinase inhibitor. Few studies have analyzed population-level testing. METHODS: We identified clinical, demographic, and regional predictors of EGFR & KRAS testing among Medicare beneficiaries with a new diagnosis of lung cancer in 2011–2013 claims. The outcome variable was whether the patient underwent molecular, EGFR and KRAS testing. Independent variables included: patient demographics, Medicaid status, clinical characteristics, and region where the patient lived. We performed multivariate logistic regression to identify factors that predicted testing. RESULTS: From 2011 to 2013, there was a 19.7% increase in the rate of EGFR testing. Patient zip code had the greatest impact on odds to undergo testing; for example, patients who lived in the Boston, Massachusetts hospital referral region were the most likely to be tested (odds ratio (OR) of 4.94, with a 95% confidence interval (CI) of 1.67–14.62). Patient demographics also impacted odds to be tested. Asian/Pacific Islanders were most likely to be tested (OR 1.63, CI 1.53–1.79). Minorities and Medicaid patients were less likely to be tested. Medicaid recipients had an OR of 0.74 (CI 0.72–0.77). Hispanics and Blacks were also less likely to be tested (OR 0.97, CI 0.78–0.99 and 0.95, CI 0.92–0.99), respectively. Clinical procedures were also correlated with testing. Patients who underwent transcatheter biopsies were 2.54 times more likely to be tested (CI 2.49–2.60) than those who did not undergo this type of biopsy. CONCLUSIONS: Despite an overall increase in EGFR testing, there is widespread underutilization of guideline-recommended testing. We observed racial, income, and regional disparities in testing. Precision medicine has increased the complexity of cancer diagnosis and treatment. Targeted interventions and clinical decision support tools are needed to ensure that all patients are benefitting from advances in precision medicine. Without such interventions, precision medicine may exacerbate racial disparities in cancer care and health outcomes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-018-4190-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-20 /pmc/articles/PMC5859516/ /pubmed/29554880 http://dx.doi.org/10.1186/s12885-018-4190-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Lynch, Julie A.
Berse, Brygida
Rabb, Merry
Mosquin, Paul
Chew, Rob
West, Suzanne L.
Coomer, Nicole
Becker, Daniel
Kautter, John
Underutilization and disparities in access to EGFR testing among Medicare patients with lung cancer from 2010 – 2013
title Underutilization and disparities in access to EGFR testing among Medicare patients with lung cancer from 2010 – 2013
title_full Underutilization and disparities in access to EGFR testing among Medicare patients with lung cancer from 2010 – 2013
title_fullStr Underutilization and disparities in access to EGFR testing among Medicare patients with lung cancer from 2010 – 2013
title_full_unstemmed Underutilization and disparities in access to EGFR testing among Medicare patients with lung cancer from 2010 – 2013
title_short Underutilization and disparities in access to EGFR testing among Medicare patients with lung cancer from 2010 – 2013
title_sort underutilization and disparities in access to egfr testing among medicare patients with lung cancer from 2010 – 2013
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859516/
https://www.ncbi.nlm.nih.gov/pubmed/29554880
http://dx.doi.org/10.1186/s12885-018-4190-3
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