Annual Meeting Content Analysis: Leveraging Annual Meetings to Promote Diversity, Equity, Inclusion, and Belonging in the Academy of Consultation-Liaison Psychiatry.

BACKGROUND: There is an increasing need to promote diversity, equity, and inclusion (DEI) in all aspects of academic medicine, including through continuing medical education. Although professional medical organizations' annual meetings play an instrumental role in continuing medical education for physicians, there are no studies describing DEI content in the annual meeting programming of professional medical organizations, including the Academy of Consultation-Liaison Psychiatry (ACLP), the primary professional organization for consultation-liaison psychiatrists. OBJECTIVE: To examine the ACLP annual meeting titles using Content Analysis. METHODS: We examined the publicly available ACLP annual meeting content titles on the ACLP website from 2010 to 2021. National DEI leaders from ACLP's DEI subcommittee iteratively generated keywords that covered a broad scope of DEI-related themes. Each annual meeting's content was independently coded by 2 members of the DEI subcommittee with discrepancies adjudicated by 2 additional members. Descriptive statistics were used to characterize the content of the annual meeting. RESULTS: Of the 2615 annual meeting titles from 2010 to 2021 that were analyzed, 2531 were not coded to have DEI themes. Three percent (n = 84) of titles were coded to have a DEI theme as follows: Culture/diversity (n = 20, 24%), bias/disparities (n = 17, 20%), race/racism (n = 17, 20%), social justice (n = 12, 14%), gender/sexism (n = 10, 12%), and LGBTQ+ (n = 8, 10%). The frequency of DEI titles each year ranged from 1% (2010, 2018) to 17% (2021) with an increase in DEI content in 2021 (n = 24, 17%). CONCLUSIONS: Although professional medical organizations like the ACLP are poised to leverage their continuing medical education platforms embedded in annual meeting programming to train consultation-liaison psychiatrists on DEI topics, our findings suggest more work is needed to develop and promote DEI-focused educational programming for their annual meetings.

The Mental and Physical Health Impacts of Overturning Roe v Wade.

ABSTRACT: The overturning of Roe v Wade has resulted in the loss of reproductive rights for millions of women in the United States. It has also put these women at risk of severe mental and physical health consequences. When legal abortions are restricted, there is a rise in illegal abortion with the risk of hemorrhage, infection, infertility, and death. There are many more risks of carrying a pregnancy to term than health or psychological risks of a legal abortion. Women who have a miscarriage risk having to prove they did not abort. In cases of medical emergencies, doctors may be restricted from performing life-saving abortions for fear of penalties. Women or children who have been victims of rape or incest will have to either have an illegal abortion or carry an unwanted pregnancy to term. In states that allow an abortion in cases of severe risk to a mother's health, panels of internists and psychiatrist may, again, be charged with deciding whether her risks are valid. Women's physical and mental health will suffer.

Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem.

We developed algorithms to identify pregnant women with suicidal behavior using information extracted from clinical notes by natural language processing (NLP) in electronic medical records. Using both codified data and NLP applied to unstructured clinical notes, we first screened pregnant women in Partners HealthCare for suicidal behavior. Psychiatrists manually reviewed clinical charts to identify relevant features for suicidal behavior and to obtain gold-standard labels. Using the adaptive elastic net, we developed algorithms to classify suicidal behavior. We then validated algorithms in an independent validation dataset. From 275,843 women with codes related to pregnancy or delivery, 9331 women screened positive for suicidal behavior by either codified data (N = 196) or NLP (N = 9,145). Using expert-curated features, our algorithm achieved an area under the curve of 0.83. By setting a positive predictive value comparable to that of diagnostic codes related to suicidal behavior (0.71), we obtained a sensitivity of 0.34, specificity of 0.96, and negative predictive value of 0.83. The algorithm identified 1423 pregnant women with suicidal behavior among 9331 women screened positive. Mining unstructured clinical notes using NLP resulted in a 11-fold increase in the number of pregnant women identified with suicidal behavior, as compared to solely reliance on diagnostic codes.

Extent and management of cardiovascular risk factors in patients with type 2 diabetes and serious mental illness.

Cardiovascular disease is the leading cause of death in Type 2 diabetes, which commonly occurs in patients with serious mental illnesses (SMIs). We determined the extent to which patients with diabetes and SMI, relative to diabetes patients without SMI, met American Diabetes Association goals for cholesterol and blood pressure, met criteria for the metabolic syndrome, and were prescribed medications known to reduce cardiovascular events. We found that less than half of diabetes patients, both with and without SMI, met recommended goals for cholesterol levels; even fewer had adequate blood pressure control. In addition, a substantial proportion of all diabetes patients met metabolic syndrome criteria. However, diabetes patients with SMI were less likely to be prescribed cholesterol-lowering statin medications, angiotensin-converting enzyme inhibitors, and angiotensin receptor blocking agents than diabetes patients without SMI. Patients with both diabetes and SMI are treated less aggressively for high cardiovascular risk than diabetes patients without mental disorders.