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Cost Analysis of a Digital Multimodal Cancer Prehabilitation
Introduction: There is growing evidence that prehabilitation programmes effectively improve the physical and psychological conditions of cancer patients awaiting treatment. During the pandemic, people with cancer were classed as vulnerable. To reduce risk to this population Kent and Medway Prehabili...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777147/ https://www.ncbi.nlm.nih.gov/pubmed/36547143 http://dx.doi.org/10.3390/curroncol29120729 |
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author | Gkaintatzi, Evdoxia Nikolaou, Charoula Konstantia Rampal, Tarannum Laza-Cagigas, Roberto Zand, Nazanin McCrone, Paul |
author_facet | Gkaintatzi, Evdoxia Nikolaou, Charoula Konstantia Rampal, Tarannum Laza-Cagigas, Roberto Zand, Nazanin McCrone, Paul |
author_sort | Gkaintatzi, Evdoxia |
collection | PubMed |
description | Introduction: There is growing evidence that prehabilitation programmes effectively improve the physical and psychological conditions of cancer patients awaiting treatment. During the pandemic, people with cancer were classed as vulnerable. To reduce risk to this population Kent and Medway Prehabilitation service transformed into a TeleHealth format. The aim of this study is to assess the impact on health-related quality of life (HRQoL) and the costs of a digital multimodal prehabilitation programme. Methods: HRQoL was measured with the EQ-5D and quality-adjusted life years (QALYs) were calculated. Costs of the prehabilitation service and inpatient care were calculated. Comparisons were made between different levels of prehabilitation received. Results: A sample of 192 individuals was included in the study Mean HRQoL improved from 69.53 at baseline to 85.71 post-rehabilitation, a 23% increase. For each additional week of prehabilitation care in cancer patients, the model predicts that the total QALYS increase by 0.02, when baseline utility is held constant. Conclusions: Prehabilitation is associated with improved HRQoL and QALYs. Our model of a multimodal digital prehabilitation program can be beneficial for patients and reduce costs for healthcare facilities even when the patients attend only a few sessions. |
format | Online Article Text |
id | pubmed-9777147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97771472022-12-23 Cost Analysis of a Digital Multimodal Cancer Prehabilitation Gkaintatzi, Evdoxia Nikolaou, Charoula Konstantia Rampal, Tarannum Laza-Cagigas, Roberto Zand, Nazanin McCrone, Paul Curr Oncol Article Introduction: There is growing evidence that prehabilitation programmes effectively improve the physical and psychological conditions of cancer patients awaiting treatment. During the pandemic, people with cancer were classed as vulnerable. To reduce risk to this population Kent and Medway Prehabilitation service transformed into a TeleHealth format. The aim of this study is to assess the impact on health-related quality of life (HRQoL) and the costs of a digital multimodal prehabilitation programme. Methods: HRQoL was measured with the EQ-5D and quality-adjusted life years (QALYs) were calculated. Costs of the prehabilitation service and inpatient care were calculated. Comparisons were made between different levels of prehabilitation received. Results: A sample of 192 individuals was included in the study Mean HRQoL improved from 69.53 at baseline to 85.71 post-rehabilitation, a 23% increase. For each additional week of prehabilitation care in cancer patients, the model predicts that the total QALYS increase by 0.02, when baseline utility is held constant. Conclusions: Prehabilitation is associated with improved HRQoL and QALYs. Our model of a multimodal digital prehabilitation program can be beneficial for patients and reduce costs for healthcare facilities even when the patients attend only a few sessions. MDPI 2022-11-29 /pmc/articles/PMC9777147/ /pubmed/36547143 http://dx.doi.org/10.3390/curroncol29120729 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gkaintatzi, Evdoxia Nikolaou, Charoula Konstantia Rampal, Tarannum Laza-Cagigas, Roberto Zand, Nazanin McCrone, Paul Cost Analysis of a Digital Multimodal Cancer Prehabilitation |
title | Cost Analysis of a Digital Multimodal Cancer Prehabilitation |
title_full | Cost Analysis of a Digital Multimodal Cancer Prehabilitation |
title_fullStr | Cost Analysis of a Digital Multimodal Cancer Prehabilitation |
title_full_unstemmed | Cost Analysis of a Digital Multimodal Cancer Prehabilitation |
title_short | Cost Analysis of a Digital Multimodal Cancer Prehabilitation |
title_sort | cost analysis of a digital multimodal cancer prehabilitation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777147/ https://www.ncbi.nlm.nih.gov/pubmed/36547143 http://dx.doi.org/10.3390/curroncol29120729 |
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