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Relative Efficiency of Radiation Treatment Centers: An Application of Data Envelopment Analysis
This study determines the relative efficiencies of a number of cancer treatment centers in Ontario, taking into account the differences among them so that their performances can be compared against the provincial targets. These differences can be in physical and financial resources, and patient demo...
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/PMC9222301/ https://www.ncbi.nlm.nih.gov/pubmed/35742084 http://dx.doi.org/10.3390/healthcare10061033 |
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author | Bayley, Tiffany Begen, Mehmet A. Rodrigues, Felipe F. Barrett, David |
author_facet | Bayley, Tiffany Begen, Mehmet A. Rodrigues, Felipe F. Barrett, David |
author_sort | Bayley, Tiffany |
collection | PubMed |
description | This study determines the relative efficiencies of a number of cancer treatment centers in Ontario, taking into account the differences among them so that their performances can be compared against the provincial targets. These differences can be in physical and financial resources, and patient demographics. An analytical framework is developed based on a three-step data envelopment analysis (DEA) model to build efficiency metrics for planning, delivery, and quality of treatment at each center. Regression analysis is used to explain the efficiency metrics and demonstrates how these findings can inform continuous improvement efforts. |
format | Online Article Text |
id | pubmed-9222301 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92223012022-06-24 Relative Efficiency of Radiation Treatment Centers: An Application of Data Envelopment Analysis Bayley, Tiffany Begen, Mehmet A. Rodrigues, Felipe F. Barrett, David Healthcare (Basel) Article This study determines the relative efficiencies of a number of cancer treatment centers in Ontario, taking into account the differences among them so that their performances can be compared against the provincial targets. These differences can be in physical and financial resources, and patient demographics. An analytical framework is developed based on a three-step data envelopment analysis (DEA) model to build efficiency metrics for planning, delivery, and quality of treatment at each center. Regression analysis is used to explain the efficiency metrics and demonstrates how these findings can inform continuous improvement efforts. MDPI 2022-06-02 /pmc/articles/PMC9222301/ /pubmed/35742084 http://dx.doi.org/10.3390/healthcare10061033 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 Bayley, Tiffany Begen, Mehmet A. Rodrigues, Felipe F. Barrett, David Relative Efficiency of Radiation Treatment Centers: An Application of Data Envelopment Analysis |
title | Relative Efficiency of Radiation Treatment Centers: An Application of Data Envelopment Analysis |
title_full | Relative Efficiency of Radiation Treatment Centers: An Application of Data Envelopment Analysis |
title_fullStr | Relative Efficiency of Radiation Treatment Centers: An Application of Data Envelopment Analysis |
title_full_unstemmed | Relative Efficiency of Radiation Treatment Centers: An Application of Data Envelopment Analysis |
title_short | Relative Efficiency of Radiation Treatment Centers: An Application of Data Envelopment Analysis |
title_sort | relative efficiency of radiation treatment centers: an application of data envelopment analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222301/ https://www.ncbi.nlm.nih.gov/pubmed/35742084 http://dx.doi.org/10.3390/healthcare10061033 |
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