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Measurement of clinical delay intervals among younger adults with colorectal cancer using health administrative data: a population-based analysis
BACKGROUND: Clinical delays may be important contributors to outcomes among younger adults (<50 years) with colorectal cancer (CRC). We aimed to describe delay intervals for younger adults with CRC using health administrative data to understand drivers of delay in this population. METHODS: This w...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680148/ https://www.ncbi.nlm.nih.gov/pubmed/36410773 http://dx.doi.org/10.1136/bmjgast-2022-001022 |
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author | Castelo, Matthew Paszat, Lawrence Hansen, Bettina E Scheer, Adena S Faught, Neil Nguyen, Lena Baxter, Nancy N |
author_facet | Castelo, Matthew Paszat, Lawrence Hansen, Bettina E Scheer, Adena S Faught, Neil Nguyen, Lena Baxter, Nancy N |
author_sort | Castelo, Matthew |
collection | PubMed |
description | BACKGROUND: Clinical delays may be important contributors to outcomes among younger adults (<50 years) with colorectal cancer (CRC). We aimed to describe delay intervals for younger adults with CRC using health administrative data to understand drivers of delay in this population. METHODS: This was a population-based study of adults <50 diagnosed with CRC in Ontario, Canada from 2003 to 2018. Using administrative code-based algorithms (including billing codes), we identified four time points along the pathway to treatment—first presentation with a CRC-related symptom, first investigation, diagnosis date and treatment start. Intervals between these time points were calculated. Multivariable quantile regression was performed to explore associations between patient and disease factors with the median length of each interval. RESULTS: 6853 patients aged 15–49 were diagnosed with CRC and met the inclusion criteria. Males comprised 52% of the cohort, the median age was 45 years (IQR 40–47), and 25% had stage IV disease. The median time from presentation to treatment start (overall interval) was 109 days (IQR 55–218). Time between presentation and first investigation was short (median 5 days), as was time between diagnosis and treatment start (median 23 days). The greatest component of delay occurred between first investigation and diagnosis (median 78 days). Women, patients with distal tumours, and patients with earlier stage disease had significantly longer overall intervals. CONCLUSIONS: Some younger CRC patients experience prolonged times from presentation to treatment, and time between first investigation to diagnosis was an important contributor. Access to endoscopy may be a target for intervention. |
format | Online Article Text |
id | pubmed-9680148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-96801482022-11-23 Measurement of clinical delay intervals among younger adults with colorectal cancer using health administrative data: a population-based analysis Castelo, Matthew Paszat, Lawrence Hansen, Bettina E Scheer, Adena S Faught, Neil Nguyen, Lena Baxter, Nancy N BMJ Open Gastroenterol Colorectal Cancer BACKGROUND: Clinical delays may be important contributors to outcomes among younger adults (<50 years) with colorectal cancer (CRC). We aimed to describe delay intervals for younger adults with CRC using health administrative data to understand drivers of delay in this population. METHODS: This was a population-based study of adults <50 diagnosed with CRC in Ontario, Canada from 2003 to 2018. Using administrative code-based algorithms (including billing codes), we identified four time points along the pathway to treatment—first presentation with a CRC-related symptom, first investigation, diagnosis date and treatment start. Intervals between these time points were calculated. Multivariable quantile regression was performed to explore associations between patient and disease factors with the median length of each interval. RESULTS: 6853 patients aged 15–49 were diagnosed with CRC and met the inclusion criteria. Males comprised 52% of the cohort, the median age was 45 years (IQR 40–47), and 25% had stage IV disease. The median time from presentation to treatment start (overall interval) was 109 days (IQR 55–218). Time between presentation and first investigation was short (median 5 days), as was time between diagnosis and treatment start (median 23 days). The greatest component of delay occurred between first investigation and diagnosis (median 78 days). Women, patients with distal tumours, and patients with earlier stage disease had significantly longer overall intervals. CONCLUSIONS: Some younger CRC patients experience prolonged times from presentation to treatment, and time between first investigation to diagnosis was an important contributor. Access to endoscopy may be a target for intervention. BMJ Publishing Group 2022-11-21 /pmc/articles/PMC9680148/ /pubmed/36410773 http://dx.doi.org/10.1136/bmjgast-2022-001022 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Colorectal Cancer Castelo, Matthew Paszat, Lawrence Hansen, Bettina E Scheer, Adena S Faught, Neil Nguyen, Lena Baxter, Nancy N Measurement of clinical delay intervals among younger adults with colorectal cancer using health administrative data: a population-based analysis |
title | Measurement of clinical delay intervals among younger adults with colorectal cancer using health administrative data: a population-based analysis |
title_full | Measurement of clinical delay intervals among younger adults with colorectal cancer using health administrative data: a population-based analysis |
title_fullStr | Measurement of clinical delay intervals among younger adults with colorectal cancer using health administrative data: a population-based analysis |
title_full_unstemmed | Measurement of clinical delay intervals among younger adults with colorectal cancer using health administrative data: a population-based analysis |
title_short | Measurement of clinical delay intervals among younger adults with colorectal cancer using health administrative data: a population-based analysis |
title_sort | measurement of clinical delay intervals among younger adults with colorectal cancer using health administrative data: a population-based analysis |
topic | Colorectal Cancer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680148/ https://www.ncbi.nlm.nih.gov/pubmed/36410773 http://dx.doi.org/10.1136/bmjgast-2022-001022 |
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