Currently, no US jurisdiction or agency routinely or systematically collects information about individuals’ sexual orientation and gender identity (SOGI) at the time of death. As a result, little is known about causes of death in people having a minority sexual orientation or gender identity. These knowledge gaps have long impeded identification of mortality disparities in sexual and gender minority populations and hampered the development of targeted public health interventions and prevention strategies. We offer observations about the possibilities and challenges of collecting and reporting accurate postmortem SOGI information on the basis of our past four years of working with death investigators, coroners, and medical examiners. This work was located primarily in New York, New York, and has extended from January 2015 to the present. Drawing on our experiences, we make recommendations for future efforts to include SOGI among the standard demographic variables used to characterize individuals at death.

Physician and trainee distress, from burnout and depression to suicide risk, has been recognized as a serious threat to physicians, health care systems and to the optimal delivery of health care. To address this problem, the American Foundation for Suicide Prevention (AFSP) adapted the Interactive Screening Program (ISP) for use by medical schools nationwide. Much is known about the problem, but less is known about the effectiveness of programs and solutions. This program evaluation utilized data from six medical schools' implementation of ISP over a seven-year period (2007–2013) to quantify openness to help-seeking and engagement with each step of program outreach. Descriptive statistics were used to quantify participants' engagement: reviewing the counselor's response; exchanging dialogue messages with the counselor; requesting to meet with the counselor in person; and requesting referral for mental health treatment. Chi-square distribution tests were used to determine differences in level of risk and rates of engagement among medical students, residents and fellows, and faculty physicians. A total of 1,449 individuals, including medical students, residents and faculty physicians, completed the questionnaire; 1,413 (97.5%) were designated as having high or moderate distress and only 5.3% were receiving any type of counseling or therapy. Among program participants, prevalence rates of high distress were higher among medical students and residents versus faculty physicians. The rate of program engagement was high overall with 81.2% reviewing the counselor's response; further engagement was highest among those most distressed, with 32.2% engaging in online dialogue with a program counselor. ISP was a feasible tool for engaging at-risk medical students, residents and physicians who were not currently utilizing mental health services.

Suicide is the second leading cause of death among undergraduate students, with an annual rate of 7.5 per 100,000. Suicidal behavior (SB) is complex and heterogeneous, which might be explained by there being multiple etiologies of SB. Data-driven identification of distinct at-risk subgroups among undergraduates would bolster this argument. We conducted a latent class analysis (LCA) on survey data from a large convenience sample of undergraduates to identify subgroups, and validated the resulting latent class model on a sample of graduate students. Data were collected through the Interactive Screening Program deployed by the American Foundation for Suicide Prevention. LCA identified 6 subgroups from the undergraduate sample (N=5654). In the group with the most students reporting current suicidal thoughts (N=623, 66% suicidal), 22.5% reported a prior suicide attempt, and 97.6% endorsed moderately severe or worse depressive symptoms. Notably, LCA identified a second at-risk group (N=662, 27% suicidal), in which only 1.5% of respondents noted moderately severe or worse depressive symptoms. When graduate students (N=1138) were classified using the model, a similar frequency distribution of groups was found. Finding multiple replicable groups at-risk for suicidal behavior, each with a distinct prevalence of risk factors, including a group of students who would not be classified as high risk with depression-based screening, is consistent with previous studies that identified multiple potential etiologies of SB.