National Heart and Lung Institute, Imperial College London, London, UK.
NIHR Imperial Biomedical Research Centre, Imperial College London, London, UK.
BMJ Open. 2022 Aug 17;12(8):e064276. doi: 10.1136/bmjopen-2022-064276.
To assess the frequency of reporting of ethnicity (or 'race') and socioeconomic status (SES) indicators in high-impact journals.
Targeted literature review.
The 10 highest ranked general medical journals using Google scholar h5 index.
Inclusion criteria were, human research, reporting participant level data. Exclusion criteria were non-research article, animal/other non-human participant/subject or no participant characteristics reported.
Working backwards from 19 April 2021 in each journal, two independent reviewers selected the 10 most recent articles meeting inclusion/exclusion criteria, to create a sample of 100 articles. Data on the frequency of reporting of ethnicity (or 'race') and SES indicators were extracted and presented using descriptive statistics.
Of 100 research articles included, 35 reported ethnicity and 13 SES. By contrast, 99 reported age, and 97 reported sex or gender. Among the articles not reporting ethnicity, only 3 (5%) highlighted this as a limitation, and only 6 (7%) where SES data were missing. Median number of articles reporting ethnicity per journal was 2.5/10 (range 0 to 9). Only two journals explicitly requested reporting of ethnicity (or race), and one requested SES.
The majority of research published in high-impact medical journals does not include data on the ethnicity and SES of participants, and this omission is rarely acknowledged as a limitation. This situation persists despite the well-established importance of this issue and International Committee of Medical Journal Editors recommendations to include relevant demographic variables to ensure representative samples. Standardised explicit minimum standards are required.
评估高影响力期刊中报告种族(或“民族”)和社会经济地位(SES)指标的频率。
有针对性的文献回顾。
使用 Google scholar h5 指数的 10 种排名最高的一般医学期刊。
纳入标准为人类研究,报告参与者水平数据。排除标准为非研究文章、动物/其他非人类参与者/受试者或未报告参与者特征。
从每个期刊的 2021 年 4 月 19 日开始向后追溯,两名独立评审员选择了 10 篇符合纳入/排除标准的最新文章,创建了 100 篇文章的样本。提取并使用描述性统计数据报告种族(或“民族”)和 SES 指标报告的频率。
在纳入的 100 篇研究文章中,35 篇报告了种族,13 篇报告了 SES。相比之下,99 篇报告了年龄,97 篇报告了性别。在没有报告种族的文章中,只有 3 篇(5%)将其作为局限性提出,只有 6 篇(7%)缺失 SES 数据。报告种族的期刊中位数为 2.5/10(范围 0 至 9)。只有两本期刊明确要求报告种族(或种族),一本要求报告 SES。
发表在高影响力医学期刊上的大多数研究都没有包括参与者的种族和 SES 数据,而且这种遗漏很少被认为是一个局限性。尽管这个问题非常重要,而且国际医学期刊编辑委员会建议纳入相关人口统计学变量以确保代表性样本,但这种情况仍然存在。需要制定标准化的明确最低标准。