Integrating Gender Identity and Sexual Orientation in Population-Based Administrative Data

Information regarding biological sex is collected for administrative and clinical purposes, and often is conflated with gender in clinical encounters as well as in population-based data studies. Sex is collected as either ‘male’ or ‘female’, adhering to the colonial notion of binary sex and gender identities. Meaningful information on sexual/romantic orientation is also absent from these datasets. Sex, gender, and sexual/romantic (SR) orientation are key aspects informing how people experience the world and how we interpret administrative data. SOGI-HE (Sexual Orientation and Gender Identity – Health Equity) will be the first 2SLGBTQIA+ dataset at the Manitoba Centre for Health Policy by using a novel survey tool to collect information on gender identity, and SR orientation. The data from this survey will be linked into the Population Health Data Repository housed at the Manitoba Centre for Health Policy, enabling analyses that incorporate constructs of sex, gender, and SR orientation. These data will make visible the experiences of the 2SLGBTQIA+ community that have been historically absent from population-based data studies. Data equity and 2SLGBTQIA+ visibility within data play an important role in advancing the field and lays the groundwork for future data linkage projects. In this presentation we will discuss the development of SOGI-HE through community-based research principles and the implications it has on future 2SLGBTQIA+ research conducted in the province of Manitoba (Canada). Further, we will discuss the ethical implications associated with queer data sovereignty in a precarious political climate for 2SLGBTQIA+ people and their rights.

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Publication Details

Journal
International Journal for Population Data Science
Published
2024-09-10
DOI
https://doi.org/10.23889/ijpds.v9i5.2618
Primary Topic
Gender Politics and Representation
Type
article
Field-Weighted Citation Impact
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article

Integrating Gender Identity and Sexual Orientation in Population-Based Administrative Data

Mikayla Hunter, Nathan Nickel, The SPECTRUM Partnership
1 links
International Journal for Population Data Science
Gender Politics and Representation
article

Integrating Gender Identity and Sexual Orientation in Population-Based Administrative Data

Mikayla Hunter, Nathan Nickel, The SPECTRUM Partnership
article en

Abstract

Information regarding biological sex is collected for administrative and clinical purposes, and often is conflated with gender in clinical encounters as well as in population-based data studies. Sex is collected as either ‘male’ or ‘female’, adhering to the colonial notion of binary sex and gender identities. Meaningful information on sexual/romantic orientation is also absent from these datasets. Sex, gender, and sexual/romantic (SR) orientation are key aspects informing how people experience the world and how we interpret administrative data. SOGI-HE (Sexual Orientation and Gender Identity – Health Equity) will be the first 2SLGBTQIA+ dataset at the Manitoba Centre for Health Policy by using a novel survey tool to collect information on gender identity, and SR orientation. The data from this survey will be linked into the Population Health Data Repository housed at the Manitoba Centre for Health Policy, enabling analyses that incorporate constructs of sex, gender, and SR orientation. These data will make visible the experiences of the 2SLGBTQIA+ community that have been historically absent from population-based data studies. Data equity and 2SLGBTQIA+ visibility within data play an important role in advancing the field and lays the groundwork for future data linkage projects. In this presentation we will discuss the development of SOGI-HE through community-based research principles and the implications it has on future 2SLGBTQIA+ research conducted in the province of Manitoba (Canada). Further, we will discuss the ethical implications associated with queer data sovereignty in a precarious political climate for 2SLGBTQIA+ people and their rights.

International Journal for Population Data ScienceVol. 9(5)
University of Manitoba (CA)
Openalex Percentile: Top 77%
Gender Politics and Representation
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