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Patterns of Cancer Care Costs in a Country With Detailed Individual Data
OBJECTIVE: To determine health system expenditure on cancers by time since diagnosis using data for an entire country. METHODS: New Zealand cancer registry data was linked to hospitalization, pharmaceutical, outpatient, general practice, laboratory, and other datasets, with costs ascribed to each ev...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Lippincott Williams & Wilkins
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379114/ https://www.ncbi.nlm.nih.gov/pubmed/25749656 http://dx.doi.org/10.1097/MLR.0000000000000330 |
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author | Blakely, Tony Atkinson, June Kvizhinadze, Giorgi Wilson, Nick Davies, Anna Clarke, Philip |
author_facet | Blakely, Tony Atkinson, June Kvizhinadze, Giorgi Wilson, Nick Davies, Anna Clarke, Philip |
author_sort | Blakely, Tony |
collection | PubMed |
description | OBJECTIVE: To determine health system expenditure on cancers by time since diagnosis using data for an entire country. METHODS: New Zealand cancer registry data was linked to hospitalization, pharmaceutical, outpatient, general practice, laboratory, and other datasets, with costs ascribed to each event occurring in 2006–2011. “Excess” cancer costs were estimated by subtracting “expected costs” for citizens without cancer from the “total cost” for cancer patients ($2011 inflation-adjusted). Gamma regressions were used to estimate costs per person-month. RESULTS: For first adult cancer diagnosed that the excess cost per person was between US$3400 and US$4300 in the first month postdiagnosis (varied by sex and age), fell to US$50–US$150 per month at 2 or more years postdiagnosis (excluding those within a year of death), but increased again if dying from their cancer (US$3800–US$8300 in the last month of life). Such patterns varied by cancer, for example, in the first month postdiagnosis for 65 year olds it varied 20-fold from US$800 for prostate to US$15,900 for brain cancer. Per diagnosed case, total excess costs varied from US$8000 (melanoma) to US$98,000 (bone and connective tissue). Excess cancer costs made up 6.5% of total Vote:Health expenditure in 2010–2011, with colorectal (14.7%), breast (14.4%) being the top 2 contributors, and prostate, non-Hodgkin lymphoma, leukemia, and lung each contributing about 6%. CONCLUSIONS: Costs vary substantially by time since diagnosis and cancer type. The results and regression equations reported in this paper can be used in modeling requiring cancer costs by time since diagnosis and proximity to death. |
format | Online Article Text |
id | pubmed-4379114 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-43791142015-04-06 Patterns of Cancer Care Costs in a Country With Detailed Individual Data Blakely, Tony Atkinson, June Kvizhinadze, Giorgi Wilson, Nick Davies, Anna Clarke, Philip Med Care Original Articles OBJECTIVE: To determine health system expenditure on cancers by time since diagnosis using data for an entire country. METHODS: New Zealand cancer registry data was linked to hospitalization, pharmaceutical, outpatient, general practice, laboratory, and other datasets, with costs ascribed to each event occurring in 2006–2011. “Excess” cancer costs were estimated by subtracting “expected costs” for citizens without cancer from the “total cost” for cancer patients ($2011 inflation-adjusted). Gamma regressions were used to estimate costs per person-month. RESULTS: For first adult cancer diagnosed that the excess cost per person was between US$3400 and US$4300 in the first month postdiagnosis (varied by sex and age), fell to US$50–US$150 per month at 2 or more years postdiagnosis (excluding those within a year of death), but increased again if dying from their cancer (US$3800–US$8300 in the last month of life). Such patterns varied by cancer, for example, in the first month postdiagnosis for 65 year olds it varied 20-fold from US$800 for prostate to US$15,900 for brain cancer. Per diagnosed case, total excess costs varied from US$8000 (melanoma) to US$98,000 (bone and connective tissue). Excess cancer costs made up 6.5% of total Vote:Health expenditure in 2010–2011, with colorectal (14.7%), breast (14.4%) being the top 2 contributors, and prostate, non-Hodgkin lymphoma, leukemia, and lung each contributing about 6%. CONCLUSIONS: Costs vary substantially by time since diagnosis and cancer type. The results and regression equations reported in this paper can be used in modeling requiring cancer costs by time since diagnosis and proximity to death. Lippincott Williams & Wilkins 2015-04 2015-03-24 /pmc/articles/PMC4379114/ /pubmed/25749656 http://dx.doi.org/10.1097/MLR.0000000000000330 Text en Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License, where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially. http://creativecommons.org/licenses/by-nc-nd/3.0. |
spellingShingle | Original Articles Blakely, Tony Atkinson, June Kvizhinadze, Giorgi Wilson, Nick Davies, Anna Clarke, Philip Patterns of Cancer Care Costs in a Country With Detailed Individual Data |
title | Patterns of Cancer Care Costs in a Country With Detailed Individual Data |
title_full | Patterns of Cancer Care Costs in a Country With Detailed Individual Data |
title_fullStr | Patterns of Cancer Care Costs in a Country With Detailed Individual Data |
title_full_unstemmed | Patterns of Cancer Care Costs in a Country With Detailed Individual Data |
title_short | Patterns of Cancer Care Costs in a Country With Detailed Individual Data |
title_sort | patterns of cancer care costs in a country with detailed individual data |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379114/ https://www.ncbi.nlm.nih.gov/pubmed/25749656 http://dx.doi.org/10.1097/MLR.0000000000000330 |
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