We estimated the prevalence and incidence of gender identity disorder (GID) diagnoses among veterans in the Veterans Health Administration (VHA) health care system and examined suicide risk among ...veterans with a GID diagnosis.
We examined VHA electronic medical records from 2000 through 2011 for 2 official ICD-9 diagnosis codes that indicate transgender status. We generated annual period prevalence estimates and calculated incidence using the prevalence of GID at 2000 as the baseline year. We cross-referenced GID cases with available data (2009-2011) of suicide-related events among all VHA users to examine suicide risk.
GID prevalence in the VHA is higher (22.9/100 000 persons) than are previous estimates of GID in the general US population (4.3/100 000 persons). The rate of suicide-related events among GID-diagnosed VHA veterans was more than 20 times higher than were rates for the general VHA population.
The prevalence of GID diagnosis nearly doubled over 10 years among VHA veterans. Research is needed to examine suicide risk among transgender veterans and how their VHA utilization may be enhanced by new VA initiatives on transgender care.
Introduction Transgender individuals experience pronounced disparities in health (e.g., mood disorders, suicide risk) and in the prevalence of social determinants of housing instability, financial ...strain, and violence. The objectives of this study were to understand the prevalence of social determinants among transgender veterans and assess their associations with medical conditions. Methods This project was a records review using administrative data from the U.S. Department of Veterans Affairs databases for 1997–2014. Transgender veterans (N=6,308) were defined as patients with any of four ICD-9 diagnosis codes associated with transgender status. Social determinants were operationalized using ICD-9 codes and Department of Veterans Affairs clinical screens indicating violence, housing instability, or financial strain. Multiple logistic regression was used to assess the associations of social determinants with medical conditions: mood disorder, post-traumatic stress disorder, alcohol abuse disorder, illicit drug abuse disorder, tobacco use disorder, suicidal risk, HIV, and hepatitis C. Results After adjusting for sociodemographic variables, housing instability and financial strain were significantly associated with all medical conditions except for HIV, and violence was significantly associated with all medical conditions except for tobacco use disorder and HIV. There was a dose response–like relationship between the increasing number of forms of social determinants being associated with increasing odds for medical conditions. Conclusions Social determinants are prevalent factors in transgender patients’ lives, exhibiting strong associations with medical conditions. Documenting social determinants in electronic health records can help providers to identify and address these factors in treatment goals.
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