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A person-time analysis of hospital activity among cancer survivors in England

BACKGROUND: There are around 2 million cancer survivors in the UK. This study describes the inpatient and day case hospital activity among the population of cancer survivors in England. This is one measure of the burden of cancer on the individual and the health service. METHODS: The national cancer...

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Autores principales: Maddams, J, Utley, M, Møller, H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3251950/
https://www.ncbi.nlm.nih.gov/pubmed/22048031
http://dx.doi.org/10.1038/bjc.2011.421
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author Maddams, J
Utley, M
Møller, H
author_facet Maddams, J
Utley, M
Møller, H
author_sort Maddams, J
collection PubMed
description BACKGROUND: There are around 2 million cancer survivors in the UK. This study describes the inpatient and day case hospital activity among the population of cancer survivors in England. This is one measure of the burden of cancer on the individual and the health service. METHODS: The national cancer registry data set for England (1990–2006) is linked to the NHS Hospital Episode Statistics (HES) database. Cohorts of survivors were defined as those people recorded in the cancer registry data with a diagnosis of breast, colorectal, lung or prostate cancer before 2007. The person-time of prevalence in 2006 for each cohort of survivors was calculated according to the cancer type, sex, age and time since diagnosis. The corresponding HES episodes of care in 2006 were used to calculate the person-time of admitted hospital care for each cohort of survivors. The average proportion of time spent in hospital by survivors in each cohort was calculated as the summed person-time of hospital activity divided by the summed person-time of prevalence. The analysis was conducted separately for cancer-related episodes and non-cancer-related episodes. RESULTS: Lung cancer survivors had the highest intensity of cancer-related hospital activity. For all cancers, cancer-related hospital activity was highest in the first year following diagnosis. Breast and prostate cancer survivors had peaks of cancer-related hospital activity in the relatively young and relatively old age groups. The proportion of time spent in hospital for non-cancer-related care was much lower than that for cancer-related care and increased gradually with age but was generally constant regardless of time since diagnosis. CONCLUSION: The person-time approach used in this study is more revealing than a simple enumeration of cancer survivors and hospital admissions. Hospital activity among cancer survivors is highest soon after diagnosis. The effect of age on the amount of hospital activity is different for each type of cancer.
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spelling pubmed-32519502012-01-05 A person-time analysis of hospital activity among cancer survivors in England Maddams, J Utley, M Møller, H Br J Cancer Full Paper BACKGROUND: There are around 2 million cancer survivors in the UK. This study describes the inpatient and day case hospital activity among the population of cancer survivors in England. This is one measure of the burden of cancer on the individual and the health service. METHODS: The national cancer registry data set for England (1990–2006) is linked to the NHS Hospital Episode Statistics (HES) database. Cohorts of survivors were defined as those people recorded in the cancer registry data with a diagnosis of breast, colorectal, lung or prostate cancer before 2007. The person-time of prevalence in 2006 for each cohort of survivors was calculated according to the cancer type, sex, age and time since diagnosis. The corresponding HES episodes of care in 2006 were used to calculate the person-time of admitted hospital care for each cohort of survivors. The average proportion of time spent in hospital by survivors in each cohort was calculated as the summed person-time of hospital activity divided by the summed person-time of prevalence. The analysis was conducted separately for cancer-related episodes and non-cancer-related episodes. RESULTS: Lung cancer survivors had the highest intensity of cancer-related hospital activity. For all cancers, cancer-related hospital activity was highest in the first year following diagnosis. Breast and prostate cancer survivors had peaks of cancer-related hospital activity in the relatively young and relatively old age groups. The proportion of time spent in hospital for non-cancer-related care was much lower than that for cancer-related care and increased gradually with age but was generally constant regardless of time since diagnosis. CONCLUSION: The person-time approach used in this study is more revealing than a simple enumeration of cancer survivors and hospital admissions. Hospital activity among cancer survivors is highest soon after diagnosis. The effect of age on the amount of hospital activity is different for each type of cancer. Nature Publishing Group 2011-11-08 2011-11-03 /pmc/articles/PMC3251950/ /pubmed/22048031 http://dx.doi.org/10.1038/bjc.2011.421 Text en Copyright © 2011 Cancer Research UK https://creativecommons.org/licenses/by-nc-sa/3.0/This work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Full Paper
Maddams, J
Utley, M
Møller, H
A person-time analysis of hospital activity among cancer survivors in England
title A person-time analysis of hospital activity among cancer survivors in England
title_full A person-time analysis of hospital activity among cancer survivors in England
title_fullStr A person-time analysis of hospital activity among cancer survivors in England
title_full_unstemmed A person-time analysis of hospital activity among cancer survivors in England
title_short A person-time analysis of hospital activity among cancer survivors in England
title_sort person-time analysis of hospital activity among cancer survivors in england
topic Full Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3251950/
https://www.ncbi.nlm.nih.gov/pubmed/22048031
http://dx.doi.org/10.1038/bjc.2011.421
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