Citation
Rich, Ashleigh J.; Poteat, Tonia; Koehoorn, Mieke; Li, Jenny; Ye, Monica; Sereda, Paul; Salway, Travis; & Hogg, Robert (2021). Development of a Computable Phenotype to Identify a Transgender Sample for Health Research Purposes: A Feasibility Study in a Large Linked Provincial Healthcare Administrative Cohort in British Columbia, Canada. BMJ Open, 11(3), e040928. PMCID: PMC7996659Abstract
OBJECTIVES: Innovative methods are needed for identification of transgender people in administrative records for health research purposes. This study investigated the feasibility of using transgender-specific healthcare utilisation in a Canadian population-based health records database to develop a computable phenotype (CP) and identify the proportion of transgender people within the HIV-positive population as a public health priority.DESIGN: The Comparative Outcomes and Service Utilization Trends (COAST) Study cohort comprises a data linkage between two provincial data sources: The British Columbia (BC) Centre for Excellence in HIV/AIDS Drug Treatment Program, which coordinates HIV treatment dispensation across BC and Population Data BC, a provincial data repository holding individual, longitudinal data for all BC residents (1996-2013).
SETTING: British Columbia, Canada.
PARTICIPANTS: COAST participants include 13 907 BC residents living with HIV (
URL
http://dx.doi.org/10.1136/bmjopen-2020-040928Reference Type
Journal ArticleYear Published
2021Journal Title
BMJ OpenAuthor(s)
Rich, Ashleigh J.Poteat, Tonia
Koehoorn, Mieke
Li, Jenny
Ye, Monica
Sereda, Paul
Salway, Travis
Hogg, Robert
Article Type
RegularPMCID
PMC7996659Data Set/Study
Comparative Outcomes and Service Utilization Trends (COAST) StudyContinent/Country
CanadaSex/Gender
Transgender MenTransgender Women