Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.
Department of Indigenous Health, School of Medicine & Health Sciences, University of North Dakota, Grand Forks, ND, United States of America.
PLoS One. 2024 Apr 30;19(4):e0302562. doi: 10.1371/journal.pone.0302562. eCollection 2024.
Significant health disparities exist among American Indian and Alaska Natives (AI/ANs), yet AI/ANs are substantially underrepresented within health-related research, including randomized controlled trials (RCTs). Although research has previously charted representation inequities, there is however a gap in the literature documenting best practice for recruitment techniques of AI/ANs into RCTs. Therefore, the aim of this review was to systematically gather and analyze the published literature to identify common strategies for AI/AN participant recruitment for RCTs in the US.
A scoping review methodology was engaged with a systematic search operationalized within relevant databases to February 19, 2022, with an additional updated search being carried out up until January 1, 2023: PubMed, Embase, Web of Science, PsycINFO, CINAHL, and Google Scholar. A two-stage article review process was engaged with double reviewers using Covidence review software. Content analysis was then carried out within the included articles by two reviewers using NVivo software to identify common categories within the data on the topic area.
Our review identified forty-one relevant articles with the main categories of recruitment strategies being: 1) recruitment methods for AI/ANs into RCTs (passive advertising recruitment approaches, individual-level recruitment approaches, relational methods of recruitment); 2) recruitment personnel used within RCTs; and, 3) relevant recruitment setting. The majority of the included studies used a culturally relevant intervention, as well as a community-involved approach to operationalizing the research.
Increasing AI/AN representation in RCTs is essential for generating evidence-based interventions that effectively address health disparities and improve health outcomes. Researchers and funding agencies should prioritize the engagement, inclusion, and leadership of AI/AN communities throughout the RCT research process. This includes early community involvement in study design, implementation of culturally tailored recruitment strategies, and dissemination of research findings in formats accessible to AI/AN communities.
美国印第安人和阿拉斯加原住民(AI/ANs)之间存在显著的健康差距,但在包括随机对照试验(RCTs)在内的与健康相关的研究中,AI/ANs 的代表性严重不足。尽管之前的研究已经揭示了代表性不公平的问题,但在记录将 AI/AN 纳入 RCT 研究的最佳招募技术的文献方面仍存在空白。因此,本综述的目的是系统地收集和分析已发表的文献,以确定美国 RCT 中招募 AI/AN 参与者的常见策略。
采用范围综述方法,并在相关数据库中进行了系统搜索,截至 2022 年 2 月 19 日,之后于 2023 年 1 月 1 日进行了更新搜索:PubMed、Embase、Web of Science、PsycINFO、CINAHL 和 Google Scholar。使用 Covidence 审查软件,由两名审查员进行了两阶段的文章审查过程。然后,两名审查员使用 NVivo 软件对纳入的文章进行内容分析,以确定主题领域数据中的常见类别。
我们的综述确定了 41 篇相关文章,主要的招募策略类别包括:1)将 AI/AN 纳入 RCT 的招募方法(被动广告招募方法、个体层面的招募方法、关系型招募方法);2)RCT 中使用的招募人员;3)相关的招募环境。大多数纳入的研究都使用了文化相关的干预措施,以及一种涉及社区的方法来实施研究。
增加 RCT 中 AI/AN 的代表性对于产生有效的干预措施以解决健康差距和改善健康结果至关重要。研究人员和资助机构应优先让 AI/AN 社区参与 RCT 研究过程,包括在研究设计早期让社区参与、实施文化上合适的招募策略,以及以 AI/AN 社区能够理解的形式传播研究结果。