Racial/ethnic disparities in emergency department wait times in the United States, 2013-2017.

BACKGROUND: Previous research shows that Black and Hispanic patients have longer ED wait times than White patients, but these data do not reflect recent changes such as the Affordable Care Act. In addition, previous research does not account for the non-normal distribution of wait times, wherein a sizable subgroup of patients seen promptly and those not seen promptly experience long wait times. METHODS: We utilized National Hospital Ambulatory Medical Care Survey (NHAMCS) datasets (2013-2017) to examine mean ED wait time comparing visits by Black, Hispanic, and Asian patients to White patients. Using a two-part regression model, we adjusted for patient, hospital, and health system factors, and estimated differences, for each of five triage levels, in (a) likelihood of waiting at least 5 min and (b) difference in wait time among those not seen promptly. RESULTS: Our cohort included 38,800 White, 14,838 Black, 10,619 Hispanic, and 1257 Asian patient visits. Black (triage level 3) and Hispanic (triage levels 3 and 4) patients had longer mean wait times than White patients. Adjusted likelihood of not being seen promptly was lower among Blacks (triage levels 3, 4 and 5), Hispanics (triage level 5) and Asians (triage level 5) compared to Whites. Among those waiting at least 5 min, adjusted wait time was longer among Blacks in triage level 3 (5.2 min, 95% CI, 1.3 to 9.0) and level 4 (2.5 min, 95% CI, 0.2 to 4.9), Hispanics in triage level 4 (4.7 min, 95% CI, 1.7 to 7.7) and Asians in triage level 5 (16.3 min, 95% CI, 0.6 to 31.9) compared to Whites. CONCLUSIONS: Minority patients were less likely to wait to be seen, but waited longer if not seen promptly. These data exhibit that ED wait time disparities persist for African American and Hispanic patients and extend this observation to Asian patients.

Depression Treatment Expenditures for Adults in the USA: a Systematic Review.

PURPOSE OF REVIEW: We review 2016-2019 peer-reviewed literature which summarizes the factors contributing to high expense of treating depression among adults in the USA, and interventions that have been conducted to decrease depression treatment expenditures. RECENT FINDINGS: Treatment expenditures associated with depression are high and growing, driven in part by increased health care utilization and a shift toward increased insurance coverage of medications and therapies. The majority of identified articles describe the elevated financial burden associated with treating individuals with chronic medical conditions who also have a depression diagnosis. The few available studies documenting health care system-level interventions identify that multi-target treatment for comorbid illness, collaborative care management, and integration of psychiatric treatment into primary care show promise for reducing depression treatment expenditures. Additional research is needed to identify innovative, cost-effective state, and federal payer-initiated depression treatment models, and evaluation of collaborative care and integrated care models implemented to scale across multiple health care systems.

Disparities in Suicidality by Gender Identity Among Medicare Beneficiaries.

INTRODUCTION: Suicidality is higher for gender minorities than the general population, yet little is known about suicidality in disabled or older adult gender minorities. METHODS: This study used 2009-2014 Medicare claims to identify people with gender identity-related diagnosis codes (disabled, n=6,678; older adult, n=2,018) and compared their prevalence of suicidality with a 5% random non-gender minority beneficiary sample (disabled, n=535,801; older adult, n=1,700,008). Correlates of suicidality were assessed (via chi-square) for each of the 4 participant groups separately, and then disparities within eligibility status (disabled or older adult) were assessed using logistic regression models, adjusting first for age and mental health chronic conditions and then additionally for Medicaid eligibility, race/ethnicity, or U.S. region (each separately). The primary hypotheses were that gender minority beneficiaries would have higher suicidality but that suicidality disparities would persist after adjusting for covariates. Data were analyzed between 2017 and 2019. RESULTS: Gender minority beneficiaries had higher unadjusted suicidality than non-gender minority beneficiaries in the disabled cohort (18.5% vs 7.1%, p<0.001). Significant suicidality predictors in all 4 groups included the following: age (except in older adult gender minorities), Medicaid eligibility, depression or behavioral health conditions, avoidable hospitalizations, and violence victimization. In age- and mental health-adjusted logistic regression models, gender minorities had higher odds of suicidality than non-gender minority beneficiaries (disabled, OR=1.95, p<0.0001; older adult, OR=2.10, p<0.0001). Disparities were not attenuated after adjusting for Medicaid eligibility, race/ethnicity, or region. CONCLUSIONS: Heightened suicidality among identified gender minority Medicare beneficiaries highlights a pressing need to identify and reduce barriers to wellness in this population.