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Categorising cancers to enable tailored care planning through a secondary analysis of cancer registration data in the UK

OBJECTIVES: The aim of this study is to categorise cancers into broad groups based on clusters of common treatment aims, experiences and outcomes to provide a numerical framework for understanding the services required to meet the needs of people with different cancers. This framework will enable a...

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Autores principales: McConnell, Hannah, White, Rachel, Maher, Jane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5719281/
https://www.ncbi.nlm.nih.gov/pubmed/29170285
http://dx.doi.org/10.1136/bmjopen-2017-016797
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author McConnell, Hannah
White, Rachel
Maher, Jane
author_facet McConnell, Hannah
White, Rachel
Maher, Jane
author_sort McConnell, Hannah
collection PubMed
description OBJECTIVES: The aim of this study is to categorise cancers into broad groups based on clusters of common treatment aims, experiences and outcomes to provide a numerical framework for understanding the services required to meet the needs of people with different cancers. This framework will enable a high-level overview of care and support requirements for the whole cancer population. SETTING AND PARTICIPANTS: People in the UK with 1 of 20 common cancers; an estimated 309 000 diagnoses in 2014, 1 679 000 people diagnosed in a 20-year period and still living in 2010 and 135 000 cancer deaths in 2014. PRIMARY AND SECONDARY OUTCOME MEASURES: Survival and stage at diagnosis data were reviewed alongside clinically led assumptions to identify commonalities and cluster cancer types into three groups. The three cancer groups were then described using incidence, prevalence and mortality data collected and reported by UK cancer registries. This was then reviewed, validated and refined following consultation. RESULTS: Group 1 includes cancers with the highest survival; 5-year survival is over 80%. Group 3 cancers have shorter term survival. Five-year survival is not >20% for any cancer in this group and many do not survive over a year. Group 2 includes cancers where people typically live more than a year but are less likely to live >5 years. We estimate that the majority (64%) of people living with cancer (20 year prevalence) have a cancer type in group 1 ‘longer term survival’, but significant minorities of people have cancers in group 2 ‘intermediate survival’ (19%) and group 3 ‘shorter term survival’ (10%). CONCLUSIONS: Every person with cancer has unique needs shaped by a multitude of factors including comorbidities, treatment regimens, patient preferences, needs, attitudes and behaviours. However, to deliver personalised care, there needs to be a high-level view of potential care requirements to support service planning.
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spelling pubmed-57192812017-12-08 Categorising cancers to enable tailored care planning through a secondary analysis of cancer registration data in the UK McConnell, Hannah White, Rachel Maher, Jane BMJ Open Health Services Research OBJECTIVES: The aim of this study is to categorise cancers into broad groups based on clusters of common treatment aims, experiences and outcomes to provide a numerical framework for understanding the services required to meet the needs of people with different cancers. This framework will enable a high-level overview of care and support requirements for the whole cancer population. SETTING AND PARTICIPANTS: People in the UK with 1 of 20 common cancers; an estimated 309 000 diagnoses in 2014, 1 679 000 people diagnosed in a 20-year period and still living in 2010 and 135 000 cancer deaths in 2014. PRIMARY AND SECONDARY OUTCOME MEASURES: Survival and stage at diagnosis data were reviewed alongside clinically led assumptions to identify commonalities and cluster cancer types into three groups. The three cancer groups were then described using incidence, prevalence and mortality data collected and reported by UK cancer registries. This was then reviewed, validated and refined following consultation. RESULTS: Group 1 includes cancers with the highest survival; 5-year survival is over 80%. Group 3 cancers have shorter term survival. Five-year survival is not >20% for any cancer in this group and many do not survive over a year. Group 2 includes cancers where people typically live more than a year but are less likely to live >5 years. We estimate that the majority (64%) of people living with cancer (20 year prevalence) have a cancer type in group 1 ‘longer term survival’, but significant minorities of people have cancers in group 2 ‘intermediate survival’ (19%) and group 3 ‘shorter term survival’ (10%). CONCLUSIONS: Every person with cancer has unique needs shaped by a multitude of factors including comorbidities, treatment regimens, patient preferences, needs, attitudes and behaviours. However, to deliver personalised care, there needs to be a high-level view of potential care requirements to support service planning. BMJ Publishing Group 2017-11-22 /pmc/articles/PMC5719281/ /pubmed/29170285 http://dx.doi.org/10.1136/bmjopen-2017-016797 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. 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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Health Services Research
McConnell, Hannah
White, Rachel
Maher, Jane
Categorising cancers to enable tailored care planning through a secondary analysis of cancer registration data in the UK
title Categorising cancers to enable tailored care planning through a secondary analysis of cancer registration data in the UK
title_full Categorising cancers to enable tailored care planning through a secondary analysis of cancer registration data in the UK
title_fullStr Categorising cancers to enable tailored care planning through a secondary analysis of cancer registration data in the UK
title_full_unstemmed Categorising cancers to enable tailored care planning through a secondary analysis of cancer registration data in the UK
title_short Categorising cancers to enable tailored care planning through a secondary analysis of cancer registration data in the UK
title_sort categorising cancers to enable tailored care planning through a secondary analysis of cancer registration data in the uk
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5719281/
https://www.ncbi.nlm.nih.gov/pubmed/29170285
http://dx.doi.org/10.1136/bmjopen-2017-016797
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