We used an internet-based survey platform to conduct a cross-sectional survey regarding the impact of COVID-19 on the LGBTQ + population in the United States. While this method of data collection was quick and inexpensive, the data collected required extensive cleaning due to the infiltration of bots. Based on this experience, we provide recommendations for ensuring data integrity. Recruitment conducted between May 7 and 8, 2020 resulted in an initial sample of 1251 responses. The Qualtrics survey was disseminated via social media and professional association listservs. After noticing data discrepancies, research staff developed a rigorous data cleaning protocol. A second wave of recruitment was conducted on June 11–12, 2020 using the original recruitment methods. The five-step data cleaning protocol led to the removal of 773 (61.8%) surveys from the initial dataset, resulting in a sample of 478 participants in the first wave of data collection. The protocol led to the removal of 46 (31.9%) surveys from the second two-day wave of data collection, resulting in a sample of 98 participants in the second wave of data collection. After verifying the two-day pilot process was effective at screening for bots, the survey was reopened for a third wave of data collection resulting in a total of 709 responses, which were identified as an additional 514 (72.5%) valid participants and led to the removal of an additional 194 (27.4%) possible bots. The final analytic sample consists of 1090 participants. Although a useful and efficient research tool, especially among hard-to-reach populations, internet-based research is vulnerable to bots and mischievous responders, despite survey platforms’ built-in protections. Beyond the depletion of research funds, bot infiltration threatens data integrity and may disproportionately harm research with marginalized populations. Based on our experience, we recommend the use of strategies such as qualitative questions, duplicate demographic questions, and incentive raffles to reduce likelihood of mischievous respondents. These protections can be undertaken to ensure data integrity and facilitate research on vulnerable populations.

Background: Despite decreasing rates of HIV among many populations, HIV-related health disparities among gay, bisexual and other men who have sex with men persist, with disproportional percentages of new HIV diagnoses among racial and ethnic minority men. Despite increasing awareness of HIV pre-exposure prophylaxis (PrEP), PrEP use remains low. In addition to exploring individual-level factors for this slow uptake, structural drivers of PrEP use must also be identified in order to maximize the effectiveness of biomedical HIV prevention strategies. Method: Using cross-sectional data from an ongoing cohort study of young sexual minority men (N=492), we examine the extent to which structural-level barriers, including access to health care, medication logistics, counseling support, and stigma are related to PrEP use. Results: While almost all participants indicated awareness of PrEP, only 14% had ever used PrEP. PrEP use was associated with lower concerns about health care access, particularly paying for PrEP. Those with greater concerns talking with their provider about their sexual behaviors were less likely to use PrEP. Conclusion: Paying for PrEP and talking to one’s provider about sexual behaviors are concerns for young sexual minority men. In particular, stigma from healthcare providers poses a significant barrier to PrEP use in this population. Providers need not only to increase their own awareness of and advocacy for PrEP as an effective risk-management strategy for HIV prevention, but also must work to create open and non-judgmental spaces in which patients can discuss sexual behaviors without the fear of stigma.

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YAGM have unique challenges to engaging in healthcare, including provider stigma and lack of provider knowledge of YAGM's health needs, which are not faced by other young adult populations. The results from this study highlight the need for more extensive and standardized training in medical school and as part of continuing medical education for healthcare providers.