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Physician explicit and implicit biases involving race and sexual orientation (SO) affect patient and provider experiences in healthcare settings. An anonymous survey was disseminated nationally to graduating medical students, residents, and practicing physicians to evaluate SO and racial biases across medical specialties. SO explicit and implicit bias were measured with the Attitudes toward Lesbians and Gay Men Scale, short form (ATLG-S) and Gay-Straight Implicit Association Test (IAT). Racial explicit and implicit bias were measured with the Quick Discrimination Index (QDI) and the Black-White IAT. Medical specialty was associated with racial explicit bias and specialty prestige with Black-White IAT score. Medical specialty and specialty prestige were not associated with SO bias. Female sex, sexual and gender minority (SGM) identity, and decreased religiosity were associated with reduced SO and racial bias. Provider race was associated with racial implicit and explicit bias.

In March 2018, the American Association of Directors of Psychiatric Residency Training (AADPRT) formed the Diversity and Inclusion (D&I) Committee. One of the committee’s goals was to understand the AADPRT membership’s composition and their perceptions of D&I. This study’s objective was to identify the demographic characteristics of the AADPRT membership. Program directors were invited by email to participate in an anonymous survey. The survey collected participants’ demographic information including gender, race/ethnicity, training background, age, disability/differently abled status, job role, geographic region where their program is located, type of program, and their program’s community setting. Two hundred fifty six of 657 AADPRT members (39%) completed the survey. Respondents were mostly White (64.5%) followed by Asian/Southeast Asian (17.6%), Hispanic/Latinx (4.3%), and Black (1.6%). Only 13.3% of the participants were international medical graduates. Women were more prevalent (61.7%) than men (37.5%), and 9.4% self-identified as members of the LGBTQ+ Community. This study represents the first systematic investigation into the diversity among psychiatry program directors throughout the USA and Canada. Future qualitative studies are needed to better understand the reasons behind this initial study’s findings. Potential concerns requiring exploration include the possibility of the program director role serving as a “glass ceiling” for some women and a “leaky pipeline” in academia for groups underrepresented in medicine.

Background and Objectives: Diabetes mellitus affects 422 million people around the world, positioning it as a major health problem. According to the WHO(World Health Organization), 90% corresponds to type 2. The shared-decision making (SDM) is a method used to facilitate patient control, medication, maintenance, and assessment of health status according to their priorities and preferences. With the application of SDM in patients with diabetes, it is expected there will be an increase in treatment adherence and a reduction in HbA1c levels. The aim of this study is to determine the predictors of the change in HbA1c. Material and Methods: A sample of 76 participants attending as endocrinology outpatients was obtained. Data collected within the sample included: sex, age, educational level, body mass index, and the level of SDM using the SDMQ-9. In addition, HbA1c levels were measured twice: at baseline and three months after the first measurement. Results: The linear regression indicates that the level of SDM is a significant predictor of the change in HbA1c, specifically in men. However, the direction of the relationship was a somewhat opposite trend than we expected. Higher levels of SDM imply an increase in HbA1c rather than a reduction. Conclusions: Contrary to the literature, our results shows that elevated levels of perceived SDM may be associated with worse diabetic control. However, more investigation is needed as these results are not generalizable, due to the specific population used and the sample size. Furthermore, to better understand the effect of SDM on the change in HbA1c in patients with poorly controlled diabetes.

BACKGROUND Suicide is a public health crisis. We conducted a systematic review and meta-analysis of the effects of psychopharmacologic and somatic therapies on suicide risk. METHODS A systematic search of MEDLINE for studies evaluating the effects of pharmacologic (excluding antidepressants) or somatic interventions on suicide risk was conducted. Studies were included if they used a comparison group, reported on suicide death, assessed a psychopharmacological or somatic intervention, and included adults. Study quality was assessed using the Newcastle-Ottawa scale. Fifty-seven studies were included from 2940 reviewed citations. RESULTS In bipolar disorder, lithium was associated with a reduction in the odds of suicide compared to active controls (odds ratio [OR] = .58, p = .005; k = 12) and compared to placebo/no lithium (OR = .46, p = .009; k = 9). In mixed diagnostic samples, lithium was associated with a reduction in the odds of suicide compared to placebo/no lithium (OR = .27, p

Background: Critically ill patients with COVID-19 infection on extracorporeal membrane oxygenation (ECMO) face high morbidity and mortality. Palliative care consultation may benefit these patients and their families. Prior to the pandemic, our institution implemented a policy of automatic palliative care consultation for all patients on ECMO due to the high mortality, medical complexity, and psychosocial distress associated with these cases. Objectives: The main objective was to describe the role of the palliative care team for patients on ECMO for COVID-19 infection. The secondary objective was to describe the clinical outcomes for this cohort. Design: Case series. Settings/Subjects: All patients age 18 or older infected by the novel coronavirus who required cannulation on ECMO from March through July of 2020, at an urban, academic medical center in the United States. Inter-disciplinary palliative care consultation occurred for all patients. Results: Twenty-three patients (median age 43 years [range 28-64], mean body mass index 34.9 kg/m2 [SD 9.2], 65% Hispanic ethnicity) were cannulated on ECMO. Eleven patients died during the hospitalization (48%). Patients older than 50 years of age demonstrated a trend toward increased odds of death compared to those younger than 50 years of age (OR 9.1, P = 0.07). Patients received an average of 6.8 (SD 3.7) palliative clinical encounters across all disciplines. The actions provided by the palliative care team included psychosocial support and counseling, determination of surrogate decision maker (for 100% of patients), pain management (83%), and non-pain symptom management (83%). Conclusions: Here, we present one of the first studies describing the patient characteristics, outcomes, and palliative care actions for critically ill patients with COVID-19 on ECMO. Almost half of the patients in this cohort died during their hospitalization. Given the high morbidity and mortality of this condition, we recommend involvement of palliative care for patients/families with COVID-19 infection who are on ECMO. The impact of palliative care on patient and family outcomes, such as symptom control, satisfaction with communication, rates of anxiety, and grief experience merits further investigation.

OBJECTIVE: Racial and ethnic disparities are well documented in psychiatry, yet suboptimal understanding of underlying mechanisms of these disparities undermines diversity, inclusion, and education efforts. Prior research suggests that implicit associations can affect human behavior, which may ultimately influence healthcare disparities. This study investigated whether racial implicit associations exist among medical students and psychiatric physicians and whether race/ethnicity, training level, age, and gender predicted racial implicit associations. METHODS: Participants completed online demographic questions and 3 race Implicit Association Tests (IATs) related to psychiatric diagnosis (psychosis vs. mood disorders), patient compliance (compliance vs. non-compliance), and psychiatric medications (antipsychotics vs. antidepressants). Linear and logistic regression models were used to identify demographic predictors of racial implicit associations. RESULTS: The authors analyzed data from 294 medical students and psychiatric physicians. Participants were more likely to pair faces of Black individuals with words related to psychotic disorders (as opposed to mood disorders), non-compliance (as opposed to compliance), and antipsychotic medications (as opposed to antidepressant medications). Among participants, self-reported White race and higher level of training were the strongest predictors of associating faces of Black individuals with psychotic disorders, even after adjusting for participant age. CONCLUSIONS: Racial implicit associations were measurable among medical students and psychiatric physicians. Future research should examine (1) the relationship between implicit associations and clinician behavior and (2) the ability of interventions to reduce racial implicit associations in mental healthcare.