Assessment of Health Conditions and Health Service Use Among Transgender Patients in Canada.

Abramovich, Alex; de Oliveira, Claire; Kiran, Tara; Iwajomo, Tomisin; Ross, Lori E.; Kurdyak, Paul

Key Points: Question: How do sociodemographic characteristics, chronic conditions, and health service utilization trajectories differ among transgender individuals compared with the general population? Findings: This cross-sectional study identified and linked health administrative data for 2085 transgender individuals in Ontario, Canada, and found that transgender individuals are more likely to live in lower-income neighborhoods, experience chronic health conditions, and have higher health service use than the general population. Meaning: This study demonstrates the need to improve the capacity to identify transgender individuals in administrative health data to understand the factors underlying their high rates of disease burden. This cross-sectional study draws from identified and linked and health administrative data in Ontario, Canada, to compare the sociodemographic characteristics and health care use of transgender individuals with the general population of the province. Importance: Transgender individuals experience stigma, discrimination, and socioeconomic disadvantages, leading to a myriad of poor health outcomes and high rates of disease burden; however, transgender health continues to be an understudied area. Objective: To examine sociodemographic characteristics, health conditions, and health service utilization patterns among transgender individuals compared with the general population. Design, Setting, and Participants: This cross-sectional study of 2085 transgender individuals from 3 large cities in Ontario, Canada, compared characteristics and health service use among transgender individuals with the general population in the province. Transgender individuals were identified through data obtained from 4 outpatient community and hospital clinics, which were linked with health administrative data between January 2012 and December 2016. Data were analyzed between October 2018 and May 2020. Individuals were age-matched 1:5 to a random 5% sample of the general Ontario population (10 425 individuals). Main Outcomes and Measures: Sociodemographic variables, health service use, and chronic conditions among transgender individuals and the general population were compared. Results: This study included a sample of 2085 transgender individuals with a mean (SD) age of 30.40 (12.81) years; 771 (37.0%) identified as transgender women. Compared with 10 425 cisgender controls, trangender individuals were more likely to live in lower-income neighborhoods (lowest-income quintile: 625 [30.0%] vs 2197 [21.1%]; P <.001) and experience chronic physical and mental health conditions, including higher rates of asthma (489 [23.5%] vs 2034 [19.5%]; P <.001), diabetes (115 [5.5%] vs 352 [3.4%]; P <.001), chronic obstructive pulmonary disease (51 [2.4%] vs 156 [1.5%]; P <.001), and HIV (34 [1.6%] vs 12 [0.1%]; P <.001). Comorbid chronic health conditions were higher among the transgender population compared with the cisgender population (702 [33.7%] vs 2941 [28.2%]; P <.001). Transgender individuals also had higher health service use compared with the general population, particularly for mental health and self-harm, including mean (SD) number of psychiatrist visits between January 2012 and December 2016 (8.25 [23.13] vs 0.93 [9.57]; standardized difference, 5.84). Conclusions and Relevance: This study found higher rates of mental and physical comorbidities and higher health service use among transgender individuals compared with cisgender individuals. Further research should explore reasons for these findings. Clinicians caring for transgender individuals should be aware of the high potential for mental health issues and self-harm.

ONTARIO; CHI-squared test; CHRONIC diseases; COMPARATIVE studies; DEMOGRAPHY; HEALTH status indicators; MEDICAL care; STATISTICAL sampling; COMORBIDITY; TRANSGENDER people; PSYCHOSOCIAL factors; SOCIOECONOMIC factors; DISEASE prevalence; CROSS-sectional method; DATA analysis software; DESCRIPTIVE statistics; ONE-way analysis of variance

JAMA Network Open, 2020, Vol 3, Issue 8, pe2015036

2574-3805

Academic Journal

10.1001/jamanetworkopen.2020.15036