疾病负担研究的标准化报告：STROBOD 声明。

IF 3.2 2区医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Population Health Metrics Pub Date : 2024-10-07 DOI:10.1186/s12963-024-00347-9

Brecht Devleesschauwer, Periklis Charalampous, Vanessa Gorasso, Ricardo Assunção, Henk Hilderink, Jane Idavain, Tina Lesnik, Milena Santric-Milicevic, Elena Pallari, Sara M Pires, Dietrich Plass, Grant M A Wyper, Elena Von der Lippe, Juanita A Haagsma

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引用次数: 0

摘要

背景：疾病负担（BOD）方法起源于 20 世纪 90 年代的全球疾病负担（GBD）研究，现已成为人口健康监测的基石。尽管残疾调整生命年（DALY）指标被广泛使用，但方法上的差异和报告上的不一致阻碍了各项研究之间的可比性。为解决这一问题，我们着手制定 DALY 计算研究报告指南，以提高 BOD 估计值的透明度和可比性：STROBOD 声明的制定始于欧洲疾病负担网络，从研讨会和培训班上讨论的最初概念发展而来，重点是对 BOD 研究进行批判性分析。2021 年，一个工作组成立，负责将初步版本完善为最终的疾病负担研究标准化报告 (STROBOD) 声明，该声明由 28 个项目组成，分为六个主要部分。这些部分包括标题、摘要、引言、方法、结果、讨论和开放科学，旨在确保疾病负担研究报告的透明度和标准化。值得注意的是，STROBOD 核对表的方法部分包括研究设置、数据输入和调整、DALY 计算方法、不确定性分析以及可重复性和透明度建议等方面。为测试 STROBOD 声明的有效性，我们开展了试点阶段的工作，强调了为每个报告项目提供清晰解释和示例的重要性：首份 STROBOD 声明为 BOD 研究报告的标准化提供了一个重要框架，并计划根据用户反馈进行持续评估和潜在修订。虽然当前版本侧重于一般 BOD 方法，但未来的迭代可能包括针对不同应用（如伤害或风险因素估计）的专门核对表，以反映该领域的动态性质。

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Standardised reporting of burden of disease studies: the STROBOD statement.

Background: The burden of disease (BOD) approach, originating with the Global Burden of Disease (GBD) study in the 1990s, has become a cornerstone for population health monitoring. Despite the widespread use of the Disability-Adjusted Life Year (DALY) metric, variations in methodological approaches and reporting inconsistencies hinder comparability across studies. To tackle this issue, we set out to develop guidelines for reporting DALY calculation studies to improve the transparency and comparability of BOD estimates.

Methods and findings: The development of the STROBOD statement began within the European Burden of Disease Network, evolving from initial concepts discussed in workshops and training sessions focused on critical analysis of BOD studies. In 2021, a working group was formed to refine the preliminary version into the final Standardised Reporting of Burden of Disease studies (STROBOD) statement, consisting of 28 items structured across six main sections. These sections cover the title, abstract, introduction, methods, results, discussion, and open science, aiming to ensure transparency and standardization in reporting BOD studies. Notably, the methods section of the STROBOD checklist encompasses aspects such as study setting, data inputs and adjustments, DALY calculation methods, uncertainty analyses, and recommendations for reproducibility and transparency. A pilot phase was conducted to test the efficacy of the STROBOD statement, highlighting the importance of providing clear explanations and examples for each reporting item.

Conclusions: The inaugural STROBOD statement offers a crucial framework for standardizing reporting in BOD research, with plans for ongoing evaluation and potential revisions based on user feedback. While the current version focuses on general BOD methodology, future iterations may include specialized checklists for distinct applications such as injury or risk factor estimation, reflecting the dynamic nature of this field.

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来源期刊

Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-

CiteScore

6.50

自引率

0.00%

发文量

审稿时长

29 weeks

期刊介绍： Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.