Racial and Ethnic Differences in Psychiatry Resident Prescribing: a Quality Improvement Education Intervention to Address Health Equity

Characterizing psychopharmacological prescribing practices in a large cohort of adolescents with borderline personality disorder

BACKGROUND

Psychiatric medications are not efficacious for treating borderline personality disorder (BPD), yet many patients with BPD are prescribed multiple psychiatric medications. This study aimed to (1) characterize psychiatric medication prescribing practices in adolescents with BPD and (2) assess whether demographic features are associated with prescribing practices.

METHOD

This sample was N = 2950 pediatric patients with BPD (ages 10-19) across the U.S. Data came from the NeuroBlu database, which includes data from 30 U.S. healthcare systems and hundreds of hospitals. Poisson regressions and chi-squared tests determined whether gender, race, and ethnicity were associated with (1) number of unique psychiatric medications prescribed and (2) number of unique medication classes prescribed.

RESULTS

Roughly two-thirds (64.85%) of youth were prescribed any medications. Of these youth, 79.40% were prescribed ≥ 2 unique medications and 72.66% were prescribed ≥ 2 unique medications classes. The mean number of unique medications was 3.50 (SD = 2.50). The mean number of unique medication classes was 2.35 (SD = 1.15). The most commonly prescribed medication classes were antidepressants and antipsychotics, which were often prescribed in combination. Poisson regressions showed that boys were prescribed more unique medications (M = 3.67) than girls (M = 3.47). Non-Latinx youth were prescribed significantly more unique medications (M = 44.12) than Latinx youth (M = 3.60, p = .01).

CONCLUSIONS

Results characterize psychiatric medication prescribing practices in youth with BPD. Prescribing practices vary by demographics, such that boys and non-Latinx youth are prescribed more medications than girls and Latinx youth, respectively. These demographic differences suggest that prescribers may treat BPD differently based on patient demographic characteristics.

Treatment resistant depression: A comparative study of access, pathways, and outcomes between Caucasian and ethnic minority individuals

BACKGROUND

Treatment resistant depression (TRD) is considered when an individual fails to respond to two or more different antidepressants in adequate doses, duration and with adequate adherence within the same major depressive episode.

AIM

To examine the clinical profiles of TRD patients through data from electronic healthcare records and compare characteristics and treatment pathways of ethnic minority and non-minority patients in UK.

METHODS

A retrospective, longitudinal, observational cohort study of patients with TRD was carried out in 10 Mental Health NHS Foundation Trusts in the Akrivia Health/UK Clinical Record Interactive Search (CRIS) system network. The CRIS system was used as a means of analysing de-identified data across 3.2 million anonymised patients' records.

RESULTS

10,048 patient records were deemed eligible for this study, of which 20.2 % of patients identified as BAME, and 79.8 % patients identified as White. Overall, around half of the patients were likely to be prescribed an antidepressant within 2 months of the MDD diagnosis. White patients were prescribed more antidepressants than the BAME group (p < 0.001), with a significant effect size for comorbidities.

LIMITATIONS

The nature of the data source limited the ability to filter for short treatment durations as clinicians did not often record concrete medication end-dates in clinical note fields.

CONCLUSION

There are significant differences in care pathways between ethnic groups in relation to TRD patients. It is vital to understand factors causing these potential clinical biases and increase awareness and education to deliver the most effective treatments for TRD in ethnic minority patients.

Depression in patients with hematologic malignancies: The current landscape and future directions

Patients with hematologic malignancies experience high rates of depression. These patients are vulnerable to depression throughout the disease trajectory, from diagnosis to survivorship, and at the end of life. In addition to the distressing nature of depression, it has substantial downstream effects including poor quality of life, increased risk of treatment complications, and worse survival. Therefore, systematic screening for depression and integration of robust psychological interventions for affected patients is crucial. Although depression has been historically studied mostly in patients with solid malignancies, research focusing on patients with hematologic malignancies is growing. In this article, we describe what is known about depression in patients with hematologic malignancies, including its assessment, prevalence, risk factors, and implications. We also describe interventions to ameliorate depression in this population. Future research is needed to test effective and scalable interventions to reduce the burden of depression among patients with blood cancers.

Uses of Electronic Health Record Data to Measure the Clinical Learning Environment of Graduate Medical Education Trainees: A Systematic Review

PURPOSE

This study systematically reviews the uses of electronic health record (EHR) data to measure graduate medical education (GME) trainee competencies.

METHOD

In January 2022, the authors conducted a systematic review of original research in MEDLINE from database start to December 31, 2021. The authors searched for articles that used the EHR as their data source and in which the individual GME trainee was the unit of observation and/or unit of analysis. The database query was intentionally broad because an initial survey of pertinent articles identified no unifying Medical Subject Heading terms. Articles were coded and clustered by theme and Accreditation Council for Graduate Medical Education (ACGME) core competency.

RESULTS

The database search yielded 3,540 articles, of which 86 met the study inclusion criteria. Articles clustered into 16 themes, the largest of which were trainee condition experience (17 articles), work patterns (16 articles), and continuity of care (12 articles). Five of the ACGME core competencies were represented (patient care and procedural skills, practice-based learning and improvement, systems-based practice, medical knowledge, and professionalism). In addition, 25 articles assessed the clinical learning environment.

CONCLUSIONS

This review identified 86 articles that used EHR data to measure individual GME trainee competencies, spanning 16 themes and 6 competencies and revealing marked between-trainee variation. The authors propose a digital learning cycle framework that arranges sequentially the uses of EHR data within the cycle of clinical experiential learning central to GME. Three technical components necessary to unlock the potential of EHR data to improve GME are described: measures, attribution, and visualization. Partnerships between GME programs and informatics departments will be pivotal in realizing this opportunity.

Greater stress and trauma mediate race-related differences in epigenetic age between Black and White young adults in a community sample

Black Americans suffer lower life expectancy and show signs of accelerated aging compared to other Americans. While previous studies observe these differences in children and populations with chronic illness, whether these pathologic processes exist or how these pathologic processes progress has yet to be explored prior to the onset of significant chronic illness, within a young adult population. Therefore, we investigated race-related differences in epigenetic age in a cross-sectional sample of young putatively healthy adults and assessed whether lifetime stress and/or trauma mediate those differences. Biological and psychological data were collected from self-reported healthy adult volunteers within the local New Haven area (399 volunteers, 19.8% Black, mean age: 29.28). Stress and trauma data was collected using the Cumulative Adversity Inventory (CAI) interview, which assessed specific types of stressors, including major life events, traumatic events, work, financial, relationship and chronic stressors cumulatively over time. GrimAge Acceleration (GAA), determined from whole blood collected from participants, measured epigenetic age. In order to understand the impact of stress and trauma on GAA, exploratory mediation analyses were then used. We found cumulative stressors across all types of events (mean difference of 6.9 p = 2.14e-4) and GAA (β = 2.29 years [1.57-3.01, p = 9.70e-10] for race, partial η2 = 0.091, model adjusted R2 = 0.242) were significantly greater in Black compared to White participants. Critically, CAI total score (proportion mediated: 0.185 [0.073-0.34, p = 6e-4]) significantly mediated the relationship between race and GAA. Further analysis attributed this difference to more traumatic events, particularly assaultive traumas and death of loved ones. Our results suggest that, prior to development of significant chronic disease, Black individuals have increased epigenetic age compared to White participants and that increased cumulative stress and traumatic events may contribute significantly to this epigenetic aging difference.