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.
As COVID-19 vaccinations became available in early 2021, we collected data from a US national sample of 496 people living with HIV (PLWH) to assess COVID-19 vaccination uptake and attitudes. The study was cross-sectional, and data were collected using an online survey between March and May 2021. At the time, 64% of the participants received at least one dose of a COVID-19 vaccine. Vaccine uptake was associated with older age and more years living with HIV, higher educational attainment, less vaccine hesitancy, and higher perceived COVID-19 vulnerability. Rates of vaccination uptake were highest among sexual and gender minority (SGM) cisgender men and transgender participants as well as those more likely to report undetectable viral load. Among the 166 unvaccinated, intention to receive the vaccine was related to older age and years living with HIV as well as lower vaccine hesitancy. Among the unvaccinated, SGM individuals demonstrated higher intent than non-SGM individuals. Findings indicate relatively high levels of vaccination in PLWH, although uptake and intent are not monolithic in the population. Patterns of vaccination are consistent with the health behavior literature in so much as those with higher levels of perceived heath vulnerability due to age as well as higher levels of proactivity about their HIV health are more likely to be vaccinated or intend to be vaccinated. Ongoing vigilance is required to vaccinate the US population, particularly those with underlying conditions such as HIV, as is the need to tailor health messaging to the highly diverse population of PLWH, with particular emphasis on the intersection of HIV and SGM status.
Background: Drug use among electronic dance music (EDM) party attendees is common; however, studies are needed to examine associations between drug use and sexual orientation as this can inform prevention and harm reduction efforts in the lesbian, gay, and bisexual (LGB) community. Methods: Data were examined from a repeated cross-sectional study of 3066 young adult EDM party attendees surveyed entering nightclubs and dance festivals in New York City between 2016 and 2018. Of these participants, 277 identified as gay/lesbian, 293 identified as bisexual, and 83 identified as other sexuality. We examined how sexual orientation relates to past-year use of various ‘traditional’ drugs (e.g., ecstasy/MDMA/Molly) and new psychoactive substances (NPS; e.g., “bath salts”) in a bivariable and multivariable manner, stratified by sex. Results: Compared to heterosexual males, gay males were at higher odds for use of ecstasy, GHB, and methamphetamine; bisexual males were at higher odds for use of LSD and unknown powders, and males identifying as “other” sexuality were at higher odds for use of mushrooms and 2C drugs. Compared to heterosexual females, lesbians were at higher odds for use of mushrooms and GHB; bisexual females were at higher odds for use of cocaine, LSD, mushrooms, and tryptamines, and females identifying as “other” sexuality were at higher odds for use of cocaine and tryptamines. Conclusions: We determined differential risk of use of different drugs among those who attend EDM parties according to sexual orientation. Findings can be used to tailor prevention messaging to specific groups within the LGB community.