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Time to treatment of esophageal cancer in Ontario: A population-level cross-sectional study

OBJECTIVE: Timely cancer treatment improves survival and anxiety for some sites. Patients with esophageal cancer require specific workup before treatment, which can prolong the time from diagnosis to treatment (treatment interval [TI]). The geographical variation of this interval remains uninvestiga...

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Autores principales: Hanna, Nader M., Nguyen, Paul, Chung, Wiley, Groome, Patti A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801289/
https://www.ncbi.nlm.nih.gov/pubmed/36590728
http://dx.doi.org/10.1016/j.xjon.2022.08.004
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author Hanna, Nader M.
Nguyen, Paul
Chung, Wiley
Groome, Patti A.
author_facet Hanna, Nader M.
Nguyen, Paul
Chung, Wiley
Groome, Patti A.
author_sort Hanna, Nader M.
collection PubMed
description OBJECTIVE: Timely cancer treatment improves survival and anxiety for some sites. Patients with esophageal cancer require specific workup before treatment, which can prolong the time from diagnosis to treatment (treatment interval [TI]). The geographical variation of this interval remains uninvestigated in patients with esophageal cancer. METHODS: This retrospective population-level study conducted in Ontario used linked administrative health care databases. Patients treated for esophageal cancer between 2013 and 2018 were included. The TI was time from diagnosis to treatment. Patients were assigned a geographical Local Health Integration Network on the basis of postal code. Covariates included patient, disease, and diagnosing physician characteristics. Quantile regression modeled TI length at the 50th and 90th percentile and identified associated factors. RESULTS: Of 7509 patients, 78% were male and most were aged between 60 and 69 years. The 50th and 90th percentile TI was 36 (interquartile range, 22-55) and 77 days, respectively. The difference between the Local Health Integration Network with the longest and shortest TI at the 50th and 90th percentile was 18 and 25 days, respectively. Older age (P < .0001), greater comorbidity (P = .0005), greater material deprivation (P = .001), rurality (P = .03), histology (P = .02), and treatment group (P < .0001) were associated with a longer median TI. Older age (P = .03), greater comorbidity (P = .003), greater material deprivation (P = .005), rurality (P = .04), and treatment group (P < .0001) were associated with a longer 90th percentile TI. CONCLUSIONS: Geographic variability of time to treatment exists across Ontario. Investigation of facility-level differences is warranted. Patient and disease factors are associated with longer wait times. These results might inform future health care policy and resource allocation.
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spelling pubmed-98012892022-12-31 Time to treatment of esophageal cancer in Ontario: A population-level cross-sectional study Hanna, Nader M. Nguyen, Paul Chung, Wiley Groome, Patti A. JTCVS Open Thoracic: Esophageal Cancer OBJECTIVE: Timely cancer treatment improves survival and anxiety for some sites. Patients with esophageal cancer require specific workup before treatment, which can prolong the time from diagnosis to treatment (treatment interval [TI]). The geographical variation of this interval remains uninvestigated in patients with esophageal cancer. METHODS: This retrospective population-level study conducted in Ontario used linked administrative health care databases. Patients treated for esophageal cancer between 2013 and 2018 were included. The TI was time from diagnosis to treatment. Patients were assigned a geographical Local Health Integration Network on the basis of postal code. Covariates included patient, disease, and diagnosing physician characteristics. Quantile regression modeled TI length at the 50th and 90th percentile and identified associated factors. RESULTS: Of 7509 patients, 78% were male and most were aged between 60 and 69 years. The 50th and 90th percentile TI was 36 (interquartile range, 22-55) and 77 days, respectively. The difference between the Local Health Integration Network with the longest and shortest TI at the 50th and 90th percentile was 18 and 25 days, respectively. Older age (P < .0001), greater comorbidity (P = .0005), greater material deprivation (P = .001), rurality (P = .03), histology (P = .02), and treatment group (P < .0001) were associated with a longer median TI. Older age (P = .03), greater comorbidity (P = .003), greater material deprivation (P = .005), rurality (P = .04), and treatment group (P < .0001) were associated with a longer 90th percentile TI. CONCLUSIONS: Geographic variability of time to treatment exists across Ontario. Investigation of facility-level differences is warranted. Patient and disease factors are associated with longer wait times. These results might inform future health care policy and resource allocation. Elsevier 2022-08-20 /pmc/articles/PMC9801289/ /pubmed/36590728 http://dx.doi.org/10.1016/j.xjon.2022.08.004 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Thoracic: Esophageal Cancer
Hanna, Nader M.
Nguyen, Paul
Chung, Wiley
Groome, Patti A.
Time to treatment of esophageal cancer in Ontario: A population-level cross-sectional study
title Time to treatment of esophageal cancer in Ontario: A population-level cross-sectional study
title_full Time to treatment of esophageal cancer in Ontario: A population-level cross-sectional study
title_fullStr Time to treatment of esophageal cancer in Ontario: A population-level cross-sectional study
title_full_unstemmed Time to treatment of esophageal cancer in Ontario: A population-level cross-sectional study
title_short Time to treatment of esophageal cancer in Ontario: A population-level cross-sectional study
title_sort time to treatment of esophageal cancer in ontario: a population-level cross-sectional study
topic Thoracic: Esophageal Cancer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801289/
https://www.ncbi.nlm.nih.gov/pubmed/36590728
http://dx.doi.org/10.1016/j.xjon.2022.08.004
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