Importance of survey demographic questions to foster inclusion in medicine and research and reduce health inequities for LGBTQIA2S+ individuals

Abstract

A clear, inclusive, and accurate approach to the collection of demographic information in clinical research and medical practice is critical to understanding the healthcare needs of the specific population. Inclusive demography constitutes appropriate and accurate characterization of an individual’s sexual orientation and gender identity (SOGI) data. Appropriate demography fosters sense of inclusion and belonging for those belonging to medically marginalized communities such as the lesbian, gay, bisexual, transgender, queer, intersex, asexual, and Indigenous Two-Spirit (LGBTQIA2S+) communities and improves health outcomes. Acquiring inclusive demographics in healthcare research is needed for the following critical reasons. First, LGBTQIA2S+ individuals experience undue psychological harm when their identities are not appropriately captured in survey data, promoting further alienation of the LGBTQIA2S+ community in medicine and research. Second, LGBTQIA2S+ populations are disproportionately burdened by several major cardiovascular and cardiovascular-associated diseases, including hypertension and diabetes. Failure to include these populations, and accurately characterize their participation, in research leads to failure to identify associations between identities and disease, resulting in worse health outcomes. Furthermore, this lack of precision in current data for sex, gender, and sexual orientation may lead to inaccurate data for all populations, not just the LGBTQIA2S+ community. Finally, there are currently major political and social threats and attacks on the LGBTQIA2S+ community and, in particular, on transgender and gender-diverse individuals. Proper medical inclusion and advocacy for the LGBTQIA2S+ community by the medical community may help protect the community from further undue harm through creating sense of belonging and reductions in marginalization-related health inequities.