Dewidar Omar, Rader Tamara, Waddington Hugh, Nicholls Stuart G, Little Julian, Hardy Billie-Jo, Horsley Tanya, Young Taryn, Cuervo Luis Gabriel, Sharp Melissa K, Chamberlain Catherine, Shea Beverley, Craig Peter, Lawson Daeria O, Rizvi Anita, Wiysonge Charles Shey, Kredo Tamara, Nguliefem Miriam Nkangu, Ghogomu Elizabeth, Francis Damian, Kristjansson Elizabeth, Bhutta Zulfiqar, Martin Alba Antequera, Melendez-Torres G J, Pantoja Tomas, Wang Xiaoqin, Jull Janet, Roberts Janet Hatcher, Funnell Sarah, White Howard, Krentel Alison, Mahande Michael Johnson, Ramke Jacqueline, Wells George A, Petkovic Jennifer, Tugwell Peter, Pottie Kevin, Mbuagbaw Lawrence, Welch Vivian
Bruyère Research Institute, University of Ottawa, Ottawa, Canada.
Freelance health research librarian, Ottawa, Canada.
F1000Res. 2022 Jun 6;11:615. doi: 10.12688/f1000research.122185.1. eCollection 2022.
The mitigation of unfair and avoidable differences in health is an increasing global priority. Observational studies including cohort, cross-sectional and case-control studies tend to report social determinants of health which could inform evidence syntheses on health equity and social justice. However, the extent of reporting and analysis of equity in equity-relevant observational studies is unknown. We define studies which report outcomes for populations at risk of experiencing inequities as "equity-relevant". Using a random sampling technique we will identify 320 equity-relevant observational studies published between 1 January 2020 to 27 April 2022 by searching the MEDLINE database. We will stratify sampling by 1) studies in high-income countries (HIC) and low- and middle-income countries (LMIC) according to the World Bank classification, 2) studies focused on COVID and those which are not, 3) studies focused on populations at risk of experiencing inequities and those on general populations that stratify their analyses. We will use the PROGRESS framework which stands for place of residence, race or ethnicity, occupation, gender or sex, religion, education, socioeconomic status, social capital, to identify dimensions where inequities may exist. Using a previously developed data extraction form we will pilot-test on eligible studies and revise as applicable. The proposed methodological assessment of reporting will allow us to systematically understand the current reporting and analysis practices for health equity in observational studies. The findings of this study will help inform the development of the equity extension for the STROBE (Strengthening the Reporting of Observational studies in Epidemiology) reporting guidelines.
减轻健康方面不公平且可避免的差异已日益成为全球优先事项。包括队列研究、横断面研究和病例对照研究在内的观察性研究往往会报告健康的社会决定因素,这些因素可为有关健康公平和社会正义的证据综合提供参考。然而,与公平相关的观察性研究中公平性报告和分析的程度尚不清楚。我们将报告面临不公平风险人群结果的研究定义为“与公平相关的研究”。我们将采用随机抽样技术,通过检索MEDLINE数据库,识别2020年1月1日至2022年4月27日期间发表的320项与公平相关的观察性研究。我们将按以下方式分层抽样:1)根据世界银行分类,分为高收入国家(HIC)和低收入及中等收入国家(LMIC)的研究;2)关注新冠疫情的研究和未关注新冠疫情的研究;3)关注面临不公平风险人群的研究和对一般人群分析进行分层的研究。我们将使用PROGRESS框架(代表居住地、种族或族裔、职业、性别或性、宗教、教育、社会经济地位、社会资本)来确定可能存在不公平的维度。我们将使用先前开发的数据提取表对符合条件的研究进行预测试,并酌情进行修订。拟议的报告方法学评估将使我们能够系统地了解观察性研究中健康公平的当前报告和分析实践。本研究的结果将有助于为STROBE(加强流行病学观察性研究报告)报告指南的公平扩展制定提供参考。