Smith E M, Anderson E E, Deer R, Prochaska J, Bohn K, Croisant S
School of Public and Population Health, University of Texas Medical Branch, Galveston, TX, USA.
Institute for Translational Sciences, University of Texas Medical Branch, Galveston, TX, USA.
J Clin Transl Sci. 2022 Jul 7;6(1):e91. doi: 10.1017/cts.2022.425. eCollection 2022.
Fair inclusion of research subjects is necessary to ensure that post-acute sequelae COVID-19 (PASC) research results benefit all members of society. Scientists should conduct research on a broad sample of individuals who represent clinically relevant factors influencing a disease. Without demographic diversity and sociological and environmental variability, research outputs are less likely to apply to different populations and would thus increase health disparities. The goal of this narrative literature review and ethical analysis is to apply fair selection criteria to PASC research studies. We briefly highlight the importance of fair subject selection in translational research and then identify features of PASC, as well as PASC research, that hinder fair inclusion of research participants. We will demonstrate that determining an adequate and representative sample is not simply a matter of ensuring greater diversity; rather, fairness requires a broader evaluation of risks, burdens, and benefits specific to underrepresented populations. We provide recommendations to ensure fair subject selection in PASC research and promote translation toward positive health outcomes for all individuals, including the most vulnerable.
公平纳入研究对象对于确保新冠后急性后遗症(PASC)研究成果惠及社会所有成员至关重要。科学家应针对代表影响疾病的临床相关因素的广泛个体样本开展研究。若缺乏人口统计学多样性以及社会学和环境变异性,研究成果就不太可能适用于不同人群,从而会加剧健康差距。本叙述性文献综述和伦理分析的目的是将公平选择标准应用于PASC研究。我们简要强调公平选择研究对象在转化研究中的重要性,然后确定PASC以及PASC研究中阻碍公平纳入研究参与者的特征。我们将证明,确定一个足够且具有代表性的样本不仅仅是确保更大的多样性;相反,公平需要更广泛地评估特定于代表性不足人群的风险、负担和益处。我们提供建议以确保PASC研究中公平选择研究对象,并促进向所有个体(包括最脆弱个体)的积极健康结果转化。