Department of Psychology, College of Liberal Arts & Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Department of Anthropology, Tulane University, New Orleans, LA, USA.
Womens Health (Lond). 2024 Jan-Dec;20:17455057241285189. doi: 10.1177/17455057241285189.
We created a survey to assess menstrual side effects after COVID-19 vaccination when we noticed news stories that denied or discounted the experiences of tens of thousands of menstruating and formerly menstruating people who reported experiencing bleeding changes. This survey had an unprecedented response hundreds of times higher than we had anticipated ( = 101,824).
We investigated what motivated our sample to participate without remuneration to understand both general motivations for survey participation as well as why this survey captured the interest of so many.
We used open-ended responses from our online, mixed-method survey collected from April to October 2021.
Using computer-assisted qualitative data analysis tools in R, we conducted a thematic analysis on open-ended responses. We used topic modeling to cluster the data, synthesize responses across 22,737 participants, and inform the themes summarizing the responses to "What is your interest in this project?" We compared and contrasted responses across groups (racial identity, ethnicity, gender) to examine whether the themes were representative across the demographic groups in our study.
The themes that characterized participants' interest in participating were vaccine effects and women's/people's health, personal experience related to the vaccine, and a love for science and data. We compared responses among demographic subgroups to avoid an overfocus on majority group responses and found the themes were reflected across each group. Lastly, we found our themes reflected multiple types of altruism.
These results were important in showing how emergent research that focuses on the concerns of potential participants can encourage high response rates from both marginalized and majority communities. Inclusive practices and familiarity with the research team built credibility that engendered trust with the public.
当我们注意到有新闻报道否认或低估了成千上万名经历过月经变化的女性和曾经经历过月经的人的经历时，我们创建了一个调查来评估 COVID-19 疫苗接种后的月经副作用。这项调查的回应前所未有，比我们预期的高出数百倍（ = 101,824）。
我们调查了是什么促使我们的样本参与调查而没有报酬，以了解参与调查的一般动机以及为什么这项调查引起了如此多人的兴趣。
我们使用了 2021 年 4 月至 10 月期间从我们的在线混合方法调查中收集的开放式回答。
使用 R 中的计算机辅助定性数据分析工具，我们对开放式回答进行了主题分析。我们使用主题建模对数据进行聚类，综合了 22,737 名参与者的回答，并为回答“您对这个项目感兴趣的原因是什么？”提供了主题。我们比较和对比了不同群体（种族身份、族裔、性别）的回答，以检查这些主题是否代表了我们研究中的所有群体。
参与者对参与研究感兴趣的主题是疫苗的效果和妇女/人的健康、与疫苗相关的个人经历以及对科学和数据的热爱。我们比较了不同群体的回答，以避免过分关注多数群体的回答，发现这些主题在每个群体中都有体现。最后，我们发现我们的主题反映了多种类型的利他主义。
这些结果对于展示关注潜在参与者关注的新兴研究如何鼓励边缘化和多数群体社区的高回应率非常重要。包容性做法和对研究团队的熟悉度建立了与公众的信任。
