Key attributes of health and environmental risk decision-making: A scoping review.

IF 3.3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Risk Analysis Pub Date : 2025-07-01 Epub Date: 2025-02-02 DOI:10.1111/risa.17715
Yadvinder Bhuller, Xaand Bancroft, Raywat Deonandan, Agnes Grudniewicz, Anne Wiles, Daniel Krewski
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Abstract

Government agencies, international institutions, and independent experts have published approaches for the assessment and management of health and environmental risks. This includes evidence-based strategies and publications supporting risk decision-making frameworks reflecting contemporary practices, the overarching context, and governance structures for addressing known and emerging risk issues. This scoping review surveys the literature, over the last five decades, to identify key attributes of health and environmental risk decision-making and how these inherent characteristics are related to the overarching regulatory decision-making context. The findings provide insights on how these publications accounted for the circumstances and triggers at that time. This includes incorporating factors reflecting advances in science and technology, a better understanding of underlying values (e.g., societal), and an expansion in the scope and complexity required for conducting different evaluations relevant to health and environmental risks. Consequently, the evolution from linear to more expanded and holistic decision-making frameworks incorporates foundational elements, such as the well-established steps for assessing risks, while adding aspects reflecting transformative changes and paradigm shifts (e.g., the use of non-animal testing strategies for evaluating human safety). Our analysis also resulted in the generation of a consolidated listing of ten attributes: trigger/issue, regulatory context, regulatory factors, core values, risk decision-making principles, cross-cutting attributes, design (scope and steps), structure, decision-making pathway, and evidence-knowledge requirements for risk decision-making. A better understanding of this evolution in risk decision-making and the listing of key attributes will be used in future work aimed at developing considerations for next generation decision-making approaches for health and environmental risks.

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健康和环境风险决策的关键属性:范围审查。
政府机构、国际机构和独立专家发表了评估和管理健康和环境风险的方法。这包括基于证据的战略和支持风险决策框架的出版物,这些框架反映了当代实践、总体背景以及解决已知和新出现的风险问题的治理结构。这一范围审查调查了文献,在过去的五十年中,以确定健康和环境风险决策的关键属性,以及这些固有特征如何与总体监管决策背景相关。这些发现提供了关于这些出版物如何解释当时的情况和触发因素的见解。这包括纳入反映科学和技术进步的因素,更好地了解基本价值(例如社会价值),以及扩大开展与健康和环境风险有关的不同评价所需的范围和复杂性。因此,从线性到更广泛和全面的决策框架的演变包含了基本要素,例如评估风险的既定步骤,同时增加了反映变革变化和范式转变的方面(例如,使用非动物试验策略来评估人类安全)。我们的分析还产生了一个包含十个属性的综合列表:触发/问题、监管背景、监管因素、核心价值、风险决策原则、交叉属性、设计(范围和步骤)、结构、决策途径和风险决策的证据知识要求。更好地了解风险决策的这种演变和列出关键属性将用于今后的工作,目的是为下一代健康和环境风险决策方法制定考虑因素。
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来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
期刊最新文献
A Comprehensive Risk Analysis Framework for Medical AI: A Mixed-Methods Approach. AI in Carbon Sink Trading: Using Attack Trees to Assess Low- to Medium-Risk Scenarios. Correction to "Does the exponential Wells-Riley model provide a good fit for human coronavirus and rhinovirus? A comparison of four dose-response models based on human challenge data". Risk-Resilience Feedback to Assure Critical Societal Functions. Corrigendum to "The Lasting Effect of the Romantic View of Nature: How It Influences Perceptions of Risk and the Support of Symbolic Actions Against Climate Change" (Risk Analysis, 2025; 45: 1399-1409).
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