与心血管疾病相关的效用值的国际系统性回顾以及为英国决策分析模型选择证据的思考。

IF 3.1 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Medical Decision Making Pub Date : 2024-02-01 Epub Date: 2024-01-04 DOI:10.1177/0272989X231214782
Rob Hainsworth, Alexander J Thompson, Bruce Guthrie, Katherine Payne, Gabriel Rogers
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引用次数: 0

摘要

目的:评估心血管疾病(CVD)干预措施需要估算其对效用的影响。我们的目的是:1)系统回顾自 2013 年以来发表的心血管疾病效用估计值;2)严格评估英国的相关估计值并计算相应的基线效用乘数:我们使用心血管疾病和效用术语检索了 MEDLINE 和 Embase(2021 年 4 月 22 日)。我们筛选了报告心力衰竭、心肌梗死、外周动脉疾病、稳定型心绞痛、中风、短暂性脑缺血发作或不稳定型心绞痛患者效用分布的主要研究结果。我们提取了纳入研究的特征。对于基于欧洲生活质量五维度(EQ-5D)测量的英国估算值,我们评估了偏倚风险和决策分析模型的适用性,酌情合并了臂/时间点,并使用年龄和性别匹配的无心血管疾病人群的预测效用估算了基线效用乘数。我们从偏倚风险较低的直接适用研究中寻找效用来源,在基础案例模型中优先考虑严重程度排序的可信性,在敏感性分析中优先考虑最高人群确定性:在已确定的 403 项研究中,大部分使用了 EQ-5D(217 项),大部分评估了经济合作与发展组织的人口(262 项),尽管测量方法和国家差异很大。英国使用 EQ-5D 的研究(n = 29)为每种类型的心血管疾病提供了非常不同的基线效用乘数,从而排除了荟萃分析,并意味着可能存在不同的严重程度排序。我们可以找到既能提供可信的效用排序,又能充分体现健康状态的数据来源:我们对国际心血管疾病效用估计值进行了编目,并计算出了与英国相关的基线效用乘数。建模者在从综述中选择效用证据时应考虑未报告的异质性来源,如人群差异:我们1)回顾了2013年以来发表的7种心血管疾病的效用估计值;2)严格评估了英国的相关研究;3)估计了每种心血管疾病对基线效用的影响。我们的综述1)为7种心血管疾病推荐了一套一致、可靠的基线效用乘数;2)为研究人员提供了系统识别的参考信息,以便他们根据自身情况寻找效用证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
International Systematic Review of Utility Values Associated with Cardiovascular Disease and Reflections on Selecting Evidence for a UK Decision-Analytic Model.

Purpose: Evaluating interventions for cardiovascular disease (CVD) requires estimates of its effect on utility. We aimed to 1) systematically review utility estimates for CVDs published since 2013 and 2) critically appraise UK-relevant estimates and calculate corresponding baseline utility multipliers.

Methods: We searched MEDLINE and Embase (April 22, 2021) using CVD and utility terms. We screened results for primary studies reporting utility distributions for people with experience of heart failure, myocardial infarction, peripheral arterial disease, stable angina, stroke, transient ischemic attack, or unstable angina. We extracted characteristics from studies included. For UK estimates based on the EuroQoL 5-dimension (EQ-5D) measure, we assessed risk of bias and applicability to a decision-analytic model, pooled arms/time points as appropriate, and estimated baseline utility multipliers using predicted utility for age- and sex- matched populations without CVD. We sought utility sources from directly applicable studies with low risk of bias, prioritizing plausibility of severity ordering in our base-case model and highest population ascertainment in a sensitivity analysis.

Results: Most of the 403 studies identified used EQ-5D (n = 217) and most assessed Organisation for Economic Co-operation and Development populations (n = 262), although measures and countries varied widely. UK studies using EQ-5D (n = 29) produced very heterogeneous baseline utility multipliers for each type of CVD, precluding meta-analysis and implying different possible severity orderings. We could find sources that provided a plausible ordering of utilities while adequately representing health states.

Conclusions: We cataloged international CVD utility estimates and calculated UK-relevant baseline utility multipliers. Modelers should consider unreported sources of heterogeneity, such as population differences, when selecting utility evidence from reviews.

Highlights: Published systematic reviews have summarized estimates of utility associated with cardiovascular disease published up to 2013.We 1) reviewed utility estimates for 7 types of cardiovascular disease published since 2013, 2) critically appraised UK-relevant studies, and 3) estimated the effect of each cardiovascular disease on baseline utility.Our review 1) recommends a consistent and reliable set of baseline utility multipliers for 7 types of cardiovascular disease and 2) provides systematically identified reference information for researchers seeking utility evidence for their own context.

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来源期刊
Medical Decision Making
Medical Decision Making 医学-卫生保健
CiteScore
6.50
自引率
5.60%
发文量
146
审稿时长
6-12 weeks
期刊介绍: Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.
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