Mitigating invalid data bias in the estimation of sexual orientation disparities in a survey of youth in US and Canada.

The current commentary explored the applicability of the methods described in "Mitigating invalid and mischievous survey responses: A registered report examining risk disparities between heterosexual and lesbian, gay, bisexual, or questioning youth" by Dr. Joseph Cimpian and colleagues to explore sexual orientation disparities in preexisting data from a nonprobability sample. Understanding Affirming Communities, Relationships, and Networks was a study of mostly White (77.4%) 9674 sexual and gender-minoritized youth aged 15-29 from the US and Canada. The influence of invalid data on the prevalence ratios of four health outcomes was assessed. The methods yielded similar effects to the original paper. The accuracy varied by outcome prevalence and was robust to misspecification of the model. Therefore, the applicability of this method to preexisting data seems feasible.

Sampling Sexual and Gender Minority Youth With UnACoRN (Understanding Affirming Communities, Relationships, and Networks): Lessons From a Web-Based Survey.

BACKGROUND: Periodic surveys of sexual and gender minority (SGM) populations are essential for monitoring and investigating health inequities. Recent legislative efforts to ban so-called conversion therapy make it necessary to adapt youth surveys to reach a wider range of SGM populations, including those <18 years of age and those who may not adopt an explicit two-spirit, lesbian, gay, bisexual, transgender, and queer (2S/LGBTQ) identity. OBJECTIVE: We aimed to share our experiences in recruiting SGM youth through multiple in-person and online channels and to share lessons learned for future researchers. METHODS: The Understanding Affirming Communities, Relationships, and Networks (UnACoRN) web-based survey collected anonymous data in English and French from 9679 mostly SGM respondents in the United States and Canada. Respondents were recruited from March 2022 to August 2022 using word-of-mouth referrals, leaflet distribution, bus advertisements, and paid and unpaid campaigns on social media and a pornography website. We analyzed the metadata provided by these and other online resources we used for recruitment (eg, Bitly and Qualtrics) and describe the campaign's effectiveness by recruitment venue based on calculating the cost per completed survey and other secondary metrics. RESULTS: Most participants were recruited through Meta (13,741/16,533, 83.1%), mainly through Instagram; 88.96% (visitors: 14,888/18,179) of our sample reached the survey through paid advertisements. Overall, the cost per survey was lower for Meta than Pornhub or the bus advertisements. Similarly, the proportion of visitors who started the survey was higher for Meta (8492/18,179, 46.7%) than Pornhub (58/18,179, 1.02%). Our subsample of 7037 residents of Canada had a similar geographic distribution to the general population, with an average absolute difference in proportion by province or territory of 1.4% compared to the Canadian census. Our US subsample included 2521 participants from all US states and the District of Columbia. A total of CAD $8571.58 (the currency exchange rate was US $1=CAD $1.25) was spent across 4 paid recruitment channels (Facebook, Instagram, PornHub, and bus advertisements). The most cost-effective tool of recruitment was Instagram, with an average cost per completed survey of CAD $1.48. CONCLUSIONS: UnACoRN recruited nearly 10,000 SGM youth in the United States and Canada, and the cost per survey was CAD $1.48. Researchers using online recruitment strategies should be aware of the differences in campaign management each website or social media platform offers and be prepared to engage with their framing (content selection and delivery) to correct any imbalances derived from it. Those who focus on SGM populations should consider how 2S/LGBTQ-oriented campaigns might deter participation from cisgender or heterosexual people or SGM people not identifying as 2S/LGBTQ, if relevant to their research design. Finally, those with limited resources may select fewer venues with lower cost per completed survey or that appeal more to their specific audience, if needed.

Discontinuation of Gender-Affirming Medical Treatments: Prevalence and Associated Features in a Nonprobabilistic Sample of Transgender and Gender-Diverse Adolescents and Young Adults in Canada and the United States.

PURPOSE: This study investigated the prevalence, correlates, and reasons for discontinuing gender-affirming medical treatment (GAMT) among transgender and gender-diverse adolescents and young adults living in Canada and the United States of America. METHODS: This exploratory study used data from an online survey of sexual and gender minority adolescents and young adults aged 15-29 years living in Canada or the United States of America (March-August 2022). The analytic sample was constituted by participants who responded to questions regarding starting and stopping GAMT, as well as reasons for stopping. Correlates of discontinuing GAMT were assessed using univariate logistic regression. RESULTS: The mean age of the analytic sample (N = 3,937) was 21.1 years. Participants were predominantly nonbinary (54.2%) and assigned female at birth (80.8%). 75.5% lived in Canada and 24.5% in the United States of America. Among those who had started GAMT, 121 of 720 (16.8%) reported having ever discontinued treatment. Forty five of 121 (37.2%) who ceased GAMT reported "Yes, but I wish I hadn't." The most frequently endorsed reasons for discontinuing GAMT were health reasons (37.3%), a change in gender identity (32.0%), and cost (16.0%). Greater age; nonbinary identity, 'other' gender identity; diagnosis of or self-identifying as living with schizophrenia; residing in the United States of America (relative to Canada); and endorsing a current Christian identity were associated with discontinuation. Ninety seven of 121 (80.2%) who discontinued GAMT reported a current transgender or gender-diverse identity. DISCUSSION: Given the dearth of information about the subpopulation who discontinue GAMT, this study advances candidate factors to inform future longitudinal research to better understand the multiple reasons and contexts for stopping GAMT.