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放射治疗中心的相对效率:数据包络分析的应用

Relative Efficiency of Radiation Treatment Centers: An Application of Data Envelopment Analysis.

作者信息

Bayley Tiffany, Begen Mehmet A, Rodrigues Felipe F, Barrett David

机构信息

Ivey Business School, University of Western Ontario, London, ON N6G 0N1, Canada.

School of Management, Economics, and Mathematics, King's University College, University of Western Ontario, London, ON N6A 2M3, Canada.

出版信息

Healthcare (Basel). 2022 Jun 2;10(6):1033. doi: 10.3390/healthcare10061033.

DOI:10.3390/healthcare10061033
PMID:35742084
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9222301/
Abstract

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.

摘要

本研究确定了安大略省多个癌症治疗中心的相对效率,同时考虑到各中心之间的差异,以便将它们的表现与省级目标进行比较。这些差异可能体现在物质和财政资源以及患者人口统计学特征方面。基于三步数据包络分析(DEA)模型开发了一个分析框架,以构建每个中心治疗规划、实施和质量的效率指标。回归分析用于解释效率指标,并展示这些研究结果如何为持续改进工作提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af74/9222301/b3a8639ace3a/healthcare-10-01033-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af74/9222301/b9beb20b74c3/healthcare-10-01033-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af74/9222301/c296a844c549/healthcare-10-01033-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af74/9222301/518a33832206/healthcare-10-01033-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af74/9222301/5b6b03b3cbb8/healthcare-10-01033-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af74/9222301/b3a8639ace3a/healthcare-10-01033-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af74/9222301/b9beb20b74c3/healthcare-10-01033-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af74/9222301/c296a844c549/healthcare-10-01033-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af74/9222301/518a33832206/healthcare-10-01033-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af74/9222301/5b6b03b3cbb8/healthcare-10-01033-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af74/9222301/b3a8639ace3a/healthcare-10-01033-g007.jpg

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本文引用的文献

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Do certified cancer centers provide more cost-effective care? A health economic analysis of colon cancer care in Germany using administrative data.认证癌症中心提供的治疗是否更具成本效益?利用行政数据对德国结肠癌治疗进行的卫生经济分析。
Int J Cancer. 2021 Nov 15;149(10):1744-1754. doi: 10.1002/ijc.33728. Epub 2021 Jul 27.
2
Data envelopment analysis applications in primary health care: a systematic review.数据包络分析在初级卫生保健中的应用:系统评价。
Fam Pract. 2020 Mar 25;37(2):147-153. doi: 10.1093/fampra/cmz057.
3
A study on healthcare supply chain management efficiency: using bootstrap data envelopment analysis.
基于 bootstrap 数据包络分析的医疗供应链管理效率研究
Health Care Manag Sci. 2019 Sep;22(3):534-548. doi: 10.1007/s10729-019-09471-7. Epub 2019 Mar 4.
4
The Clinical Specialist Radiation Therapist (CSRT): A case study exploring the effectiveness of a new advanced practice role in Canada.临床专科放射治疗师(CSRT):一项探索加拿大新高级实践角色有效性的案例研究。
J Med Radiat Sci. 2018 Jun;65(2):86-96. doi: 10.1002/jmrs.281.
5
The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals.运用数据包络分析(DEA)于医疗保健领域,特别是医院方面。
Health Care Manag Sci. 2019 Jun;22(2):245-286. doi: 10.1007/s10729-018-9436-8. Epub 2018 Feb 24.
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Integrated Analysis of Healthcare Efficiency: A Systematic Review.医疗保健效率的综合分析:系统评价。
J Med Syst. 2017 Nov 22;42(1):8. doi: 10.1007/s10916-017-0848-7.
7
The prognostic impact of overall treatment time on disease outcome in uterine cervical cancer patients treated primarily with concomitant chemoradiotherapy: a nationwide Taiwanese cohort study.总体治疗时间对主要接受同步放化疗的子宫颈癌患者疾病预后的影响:一项台湾全国性队列研究。
Oncotarget. 2017 Jul 27;8(49):85203-85213. doi: 10.18632/oncotarget.19617. eCollection 2017 Oct 17.
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N Engl J Med. 2017 Sep 14;377(11):1065-1075. doi: 10.1056/NEJMra1608986.
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