Centre for Trials Research, Cardiff University, Cardiff, Wales, UK.
NHMRC Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia.
Trials. 2023 Mar 30;24(1):242. doi: 10.1186/s13063-023-07278-0.
Representation of all members of society within research, especially those typically underserved, is needed to ensure that trial evidence applies to the relevant population, and that effective interventions are available to all. The lack of appropriate and representative options in demographic questions around sex, gender and sexuality may result in the exclusion of LGBTQIA + people from health research.
Sex and gender are not the same, yet this is rarely recognised in trial data collection, with the terms sex and gender often being used interchangeably. Sex or gender is often used as a stratification factor at randomisation and/or to define sub-groups at the time of data analysis, so correct data collection is essential for producing high-quality science. Sexuality also suffers from 'othering' with identities not being acknowledged but simply provided as an alternative to the perceived main identities. When collecting sexuality information, it is important to consider the purposes of collecting this data.
We call on those involved in trials to consider how sex, gender and sexuality data are collected, with an active consideration of inclusivity. Through the description of all non-straight, non-cisgender people as 'other' you may be ignoring the needs of these populations and doing science, yourself, and them a disservice. Inclusivity may require small but important changes to ensure your research findings are inclusive and develop the evidence base for often overlooked populations.
为确保试验证据适用于相关人群,并为所有人提供有效的干预措施,需要在研究中代表社会的所有成员,尤其是那些通常服务不足的成员。在性别、性别认同和性行为方面的人口统计问题中,如果没有适当和有代表性的选择,可能会导致 LGBTQIA+人群被排除在健康研究之外。
性和性别并不相同,但这在试验数据收集过程中很少得到承认,术语“性”和“性别”经常互换使用。在随机分组和/或数据分析时,性或性别通常用作分层因素,因此正确的数据收集对于产生高质量的科学至关重要。性取向也受到“他者化”的影响,其身份不被承认,而只是作为主要身份的替代。在收集性行为信息时,重要的是要考虑收集这些数据的目的。
我们呼吁参与试验的人员考虑如何收集性、性别和性行为数据,并积极考虑包容性。通过将所有非直、非顺性别者描述为“其他”,您可能忽略了这些人群的需求,并且对您自己、对他们的科学研究无益。包容性可能需要进行微小但重要的改变,以确保您的研究结果具有包容性,并为经常被忽视的人群发展证据基础。