美国严重症状性主动脉瓣狭窄患者人群中TAVR可用性的成本效用和成本效益分析

美国老年严重症状性主动脉瓣狭窄患者TAVR可用性的成本效用和成本效益分析数据集,包含决策树模型、ICER和净货币收益等经济评估数据。

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2022-08-19 更新
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表格, 文本Active agingcost-benefit analysiscost-utility analysissevere symptomatic aortic stenosistime usetranscathether aortic valve replacementJ141JI10I1I
Cost-utility and cost-benefit analysis of TAVR availability in the US severe symptomatic aortic stenosis patient population

基本信息

模态
表格, 文本
大小
2.233941222 GB
许可
CC BY 4.0
创建/更新时间
2022-08-19
版本
v2

资源简介

美国严重症状性主动脉瓣狭窄患者人群中TAVR可用性的成本效用和成本效益分析

【数据集背景】

本数据集源站标题为《Cost-utility and cost-benefit analysis of TAVR availability in the US severe symptomatic aortic stenosis patient population》。配套论文《Cost-utility and cost-benefit analysis of TAVR availability in the US severe symptomatic aortic stenosis patient population》发表于 Journal of Medical Economics(2022),DOI:10.1080/13696998.2022.2112442。源站首次发布:2022-08-26。

【数据内容】

源站原始描述:We evaluated the availability of transcatheter aortic valve replacement (TAVR) to determine its value across all severe symptomatic aortic stenosis (SSAS) patients, especially those untreated because of concerns regarding invasive surgical AVR (SAVR) and its impact on active aging. We performed payer perspective cost-utility analysis (CUA) and societal perspective cost-benefit analysis (CBA). The CBA’s benefit measure is active time: salaried labor, unpaid work, and active leisure. The study pop…

【数据结构与技术规格】

文件数 1342 个,合计 2.23 GB。数据集 DOI:10.6084/m9.figshare.20517323.v2。

【主题与分类】

源站学科分类:Medicine、Pharmacology、Biotechnology、Ecology、Cancer、Science Policy。主题标签:Active aging、cost-benefit analysis、cost-utility analysis、severe symptomatic aortic stenosis、time use、transcathether aortic valve replacement、J14、1、J、I10。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://tandf.figshare.com/articles/dataset/Cost-utility_and_cost-benefit_analysis_of_TAVR_availability_in_the_US_severe_symptomatic_aortic_stenosis_patient_population/20517323

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Cost-utility and cost-benefit analysis of TAVR availability in the US severe symptomatic aortic stenosis patient population. Taylor & Francis. Sevilla, J. P.; Klusty, Jessica M.; Song, Younghwan; Russo, Mark J.; Thompson, Christin A.; Jiao, Xiayu; et al

【使用注意】

· 源站最后修改于 2023-06-03,引用时请注意版本时效。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

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当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "0. ACS_2017_median_age.do" "https://ndownloader.figshare.com/files/36853688"
curl -L -o "0. ACS_2017_median_age.log" "https://ndownloader.figshare.com/files/36853691"
curl -L -o "0. USlifetable2017.do" "https://ndownloader.figshare.com/files/36853694"
curl -L -o "0. USlifetable2017.log" "https://ndownloader.figshare.com/files/36853697"
curl -L -o "01hr12A.pdf" "https://ndownloader.figshare.com/files/36853700"
curl -L -o "01hr14A.pdf" "https://ndownloader.figshare.com/files/36853703"
curl -L -o "01hr16A.pdf" "https://ndownloader.figshare.com/files/36853706"
curl -L -o "02hr12B.pdf" "https://ndownloader.figshare.com/files/36853709"

文件清单

  • 0. ACS_2017_median_age.do(904 B)
  • 0. ACS_2017_median_age.log(7.22 KB)
  • 0. USlifetable2017.do(3.39 KB)
  • 0. USlifetable2017.log(6.22 KB)
  • 01hr12A.pdf(414.73 KB)
  • 01hr14A.pdf(481.12 KB)
  • 01hr16A.pdf(481.82 KB)
  • 02hr12B.pdf(648.03 KB)
  • 02hr14B.pdf(617.49 KB)
  • 02hr16B.pdf(206.16 KB)
  • 03hr12C.pdf(1.16 MB)
  • 03hr14C.pdf(1.07 MB)
  • 03hr16C.pdf(379.52 KB)
  • 04hr14D.pdf(459.22 KB)
  • 04hr16D.pdf(395.86 KB)
  • 05hr12D.pdf(361.41 KB)
  • 05hr14E.pdf(260.74 KB)
  • 05hr16E.pdf(266.62 KB)
  • 06hr12E.pdf(248.81 KB)
  • 06hr14F.pdf(311.24 KB)

文件总体积 2.23 GB(源站 API 实测)。

数据说明

We evaluated the availability of transcatheter aortic valve replacement (TAVR) to determine its value across all severe symptomatic aortic stenosis (SSAS) patients, especially those untreated because of concerns regarding invasive surgical AVR (SAVR) and its impact on active aging.
We performed payer perspective cost-utility analysis (CUA) and societal perspective cost-benefit analysis (CBA). The CBA’s benefit measure is active time: salaried labor, unpaid work, and active leisure. The study population is a cohort of US elderly SSAS patients. We compared a “TAVR available” scenario in which SSAS patients distribute themselves across TAVR, SAVR, and medical management (MM); and a “TAVR not available” scenario with only SAVR and MM. We structured each scenario with a decision-tree model of SSAS patient treatment allocation. We measured the association between health and active time in the US Health and Retirement Study and used this association to impute active time to SSAS patients given their health.
The incremental cost-effectiveness ratio (ICER) and rate of return (RoR) of TAVR availability were $8,533 and 395%, respectively. CUA net monetary benefits (NMB) were $212,199 per patient and $43.4 billion population-wide. CBA NMB were $50,530 per patient and $10.3 billion population-wide.
Among study limitations were scarcity of evidence regarding key parameters and the lack of long-term survival, health utility, and treatment cost data. Our analysis did not account for TAVR durability, retreatments, and valve-in-valve treatments.
Across risk-, age-, and treatment-eligibility groups, TAVR is the economically optimal treatment choice. It represents strong value-for-money per patient and population-wide. The vast majority of TAVR value involves raising treatment uptake among the untreated.
Aortic stenosis (AS) is a common and lethal heart disease. Surgical treatment has long been available, but its invasiveness limits uptake. More recently, transcatheter aortic valve replacement (TAVR) has emerged as a treatment alternative. Its minimal invasiveness has significantly increased treatment rates, but economic evaluations omit this benefit, risking undervaluation. W

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.20517323.v2(source: https://tandf.figshare.com/articles/dataset/Cost-utility_and_cost-benefit_analysis_of_TAVR_availability_in_the_US_severe_symptomatic_aortic_stenosis_patient_population/20517323)。

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