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Black veterans experience disparities in mental health (MH) care access and are disproportionately affected by COVID-19. Video telehealth to home (VTH) may reduce disparities by addressing barriers, particularly with pandemic-related shifts to remotely delivered care. Considering potential needs for tailored implementation across racial/ethnic groups, we examined differences in VTH use by non-Hispanic Black veterans versus all other races/ethnicities and among Black (Hispanic and non-Hispanic) veterans by age, rurality, and gender during the pandemic. We extracted a cohort of Veterans Health Administration-enrolled veterans receiving at least one MH encounter between October 2019 and September 2020 ( n = 1,627,791) from electronic health records. Multilevel linear growth curve models examined the percentage of VTH use for non-Hispanic Black versus other races/ethnicities before and after pandemic onset. Black veteran-only subgroup analyses examined differences by ethnicity in percentage of VTH MH encounters since pandemic onset by age, rurality, and gender, using regression and analysis of covariance models. Despite significant increases in VTH during the pandemic, on average, VTH use was consistently lower for non-Hispanic Black veterans across both periods. During the pandemic, differences in VTH use between non-Hispanic Black and non-Black veterans accelerated over time. VTH use was greater during the pandemic for Black veterans who were Hispanic, younger, urban, and female. Adoption of VTH for MH was low for non-Hispanic Black veterans before COVID-19 and during COVID-19 compared to non-Black groups. Future VTH research and implementation efforts should question why adoption remains low, work to meet cultural needs, and promote equitable adoption for Black veterans. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Purpose: Alcohol use disorder (AUD) is highly prevalent among Veterans with HIV. Rural Veterans with HIV are at especially high risk for not receiving appropriate treatment. This retrospective cohort cross-sectional study aimed to investigate patterns of mental health treatment utilization across delivery modality among Veterans diagnosed with HIV and AUD. It was hypothesized that rural Veterans with HIV and AUD would receive a lower rate of mental health treatment delivered via video telehealth than urban Veterans with HIV and AUD., Methods: A national Veterans Health Association administrative database was used to identify a cohort of Veterans diagnosed with HIV and AUD (N = 2,075). Geocoding was used to categorize rural Veterans (n = 246) and urban Veterans (n = 1,829). Negative binomial regression models tested associations between rurality and mental health treatment delivered via face-to-face, audio-only, and video telehealth modalities., Findings: Results demonstrated that rural Veterans with HIV and AUD received fewer mental health treatment sessions delivered via telehealth than urban Veterans with HIV and AUD (incidence rate ratio = 0.62; 95% confidence intervals [0.44, 0.87]; P < .01). No differences were found in terms of treatment delivered face-to-face or by audio-only., Conclusions: Rural Veterans with HIV and AUD represent a vulnerable subpopulation of Veterans who may most benefit from video telehealth. Efforts to increase access and improve the uptake of evidence-based mental health treatment delivered via video telehealth are needed., (Published 2023. This article is a U.S. Government work and is in the public domain in the USA.)

Importance: American Indian/Alaska Native veterans experience a high risk for health inequities, including mental health (MH) care access. Rapid virtualization of MH care in response to the COVID-19 pandemic facilitated care continuity across the Veterans Health Administration (VHA), but the association between virtualization of care and health inequities among American Indian/Alaska Native veterans is unknown., Objective: To examine differences in video telehealth (VTH) use for MH care between American Indian/Alaska Native and non-American Indian/Alaska Native veterans by rurality and urbanicity., Design, Setting, and Participants: In this cohort study, VHA administrative data on VTH use among a veteran cohort that received MH care from October 1, 2019, to February 29, 2020 (prepandemic), and April 1 to December 31, 2020 (early pandemic), were examined., Exposures: At least 1 outpatient MH encounter during the study period., Main Outcomes and Measures: The main outcome was use of VTH among all study groups (ie, American Indian/Alaska Native, non-American Indian/Alaska Native, rural, or urban) before and during the early pandemic. American Indian/Alaska Native veteran status and rurality were examined as factors associated with VTH utilization through mixed models., Results: Of 1 754 311 veterans (mean [SD] age, 54.89 [16.23] years; 85.21% male), 0.48% were rural American Indian/Alaska Native; 29.04%, rural non-American Indian/Alaska Native; 0.77%, urban American Indian/Alaska Native; and 69.71%, urban non-American Indian/Alaska Native. Before the pandemic, a lower percentage of urban (b = -0.91; SE, 0.02; 95% CI, -0.95 to -0.87; P < .001) and non-American Indian/Alaska Native (b = -0.29; SE, 0.09; 95% CI, -0.47 to -0.11; P < .001) veterans used VTH. During the early pandemic period, a greater percentage of urban (b = 1.37; SE, 0.05; 95% CI, 1.27-1.47; P < .001) and non-American Indian/Alaska Native (b = 0.55; SE, 0.19; 95% CI, 0.18-0.92; P = .003) veterans used VTH. There was a significant interaction between rurality and American Indian/Alaska Native status during the early pandemic (b = -1.49; SE, 0.39; 95% CI, -2.25 to -0.73; P < .001). Urban veterans used VTH more than rural veterans, especially American Indian/Alaska Native veterans (non-American Indian/Alaska Native: rurality b = 1.35 [SE, 0.05; 95% CI, 1.25-1.45; P < .001]; American Indian/Alaska Native: rurality b = 2.91 [SE, 0.38; 95% CI, 2.17-3.65; P < .001]). The mean (SE) increase in VTH was 20.34 (0.38) and 15.35 (0.49) percentage points for American Indian/Alaska Native urban and rural veterans, respectively (difference in differences [DID], 4.99 percentage points; SE, 0.62; 95% CI, 3.77-6.21; t = -7.999; df, 11 000; P < .001), and 12.97 (0.24) and 11.31 (0.44) percentage points for non-American Indian/Alaska Native urban and rural veterans, respectively (DID, 1.66; SE, 0.50; 95% CI, 0.68-2.64; t = -3.32; df, 15 000; P < .001)., Conclusions and Relevance: In this cohort study, although rapid virtualization of MH care was associated with greater VTH use in all veteran groups studied, a significant difference in VTH use was seen between rural and urban populations, especially among American Indian/Alaska Native veterans. The findings suggest that American Indian/Alaska Native veterans in rural areas may be at risk for VTH access disparities.

Rationale: Disparities in patient selection for advanced therapeutics in health care have been identified in multiple studies, but it is unclear if disparities exist in patient selection for extracorporeal membrane oxygenation (ECMO), a rapidly expanding critical care resource. Objectives: To determine if disparities exist in patient selection for ECMO based on sex, primary insurance, and median income of the patient's neighborhood. Methods: In a retrospective cohort study using the Nationwide Readmissions Database 2016-2019, we identified patients treated with mechanical ventilation (MV) and/or ECMO with billing codes. Patient sex, insurance, and income level for patients receiving ECMO were compared with the patients treated with MV only, and hierarchical logistic regression with the hospital as a random intercept was used to determine odds of receiving ECMO based on patient demographics. Results: We identified 2,170,752 MV hospitalizations with 18,725 cases of ECMO. Among patients treated with ECMO, 36.1% were female compared with 44.5% of patients treated with> MV only (adjusted odds ratio [aOR] for ECMO, 0.73; 95% confidence interval [CI], 0.70-0.75). Of patients treated with ECMO, 38.1% had private insurance compared with 17.4% of patients treated with MV only. Patients with Medicaid were less likely to receive ECMO than patients with private insurance (aOR, 0.55; 95% CI, 0.52-0.57). Patients treated with ECMO were more likely to live in the highest-income neighborhoods compared with patients treated with MV only (25.1% vs. 17.3%). Patients living in the lowest-income neighborhoods were less likely to receive ECMO than those living in the highest-income neighborhoods (aOR, 0.63; 95% CI, 0.60-0.67). Conclusions: Significant disparities exist in patient selection for ECMO. Female patients, patients with Medicaid, and patients living in the lowest-income neighborhoods are less likely to be treated with ECMO. Despite possible unmeasured confounding, these findings were robust to multiple sensitivity analyses. On the basis of previous work describing disparities in other areas of health care, we speculate that limited access in some neighborhoods, restrictive/biased interhospital transfer practices, differences in patient preferences, and implicit provider bias may contribute to the observed differences. Future studies with more granular data are needed to identify and modify drivers of observed disparities.

Background: Increasingly, women are serving in the military and seeking care at the Veterans Health Administration (VHA). Women veterans face unique challenges and barriers in seeking mental health (MH) care within VHA. VA Video Connect (VVC), which facilitates video-based teleconferencing between patients and providers, can reduce barriers while maintaining clinical effectiveness., Objective: Primary aims were to examine gender differences in VVC use, describe changes in VVC use over time (including pre-COVID and 6 months following the beginning of COVID), and determine whether changes over time differed by gender., Design: A retrospective cohort investigation of video-to-home telehealth for MH care utilization among veterans having at least 1 MH visit from October 2019 to September 2020., Participants: Veterans (236,268 women; 1,318,024 men)., Interventions (if Applicable): VVC involves face-to-face, synchronous, video-based teleconferencing between patients and providers, enabling care at home or another private location., Main Measures: Percentage of MH encounters delivered via VA Video Connect., Key Results: Women veterans were more likely than men to have at least 1 VVC encounter and had a greater percentage of MH care delivered via VVC in FY20. There was an increase in the percentage of MH encounters that were VVC over FY20, and this increase was greater for women than men. Women veterans who were younger than 55 (compared to those 55 and older), lived in urban areas (compared to those in rural areas), or were Asian (compared to other races) had a greater percentage of MH encounters that were VVC since the start of the pandemic, controlling for the mean percentage of VVC MH encounters in the 6 months pre-pandemic., Conclusions: VVC use for MH care is greater in women veterans compared to male veterans and may reduce gender-specific access barriers. Future research and VVC implementation efforts should emphasize maximizing patient choice and satisfaction., (© 2022. The Author(s).)

This article describes the Personalized Implementation for Video Telehealth strategy to increase adoption of video telehealth to home (VTH) across a large, urban Veterans Health Administration medical center and applications for broader use in non-VHA settings. The authors fully integrated VTH into existing mental health clinics, resulting in (1) a significant increase in the number of patients receiving VTH, (2) a significant increase in the number of VTH visits relative to median national improvement, (3) a greater number of unique specialty mental health clinics offering VTH in Houston, and (4) a greater number of community clinics active in delivering VTH., (Published by Elsevier Inc.)

In 2008, a company using multiple buttermilk flavorings in the production of dry bakery mixes replaced one liquid flavoring containing 15-20% diacetyl with a proprietary substitute meant to lower occupational risk for diacetyl-related bronchiolitis obliterans. Subsequently, the National Institute for Occupational Safety and Health (NIOSH) evaluated buttermilk flavoring-related exposures at this company's facility, with a focus on measuring ketones by several methods. Volatile organic compounds (VOCs) were evaluated in the headspaces of six bulk flavorings samples, including the substitute buttermilk flavoring. Ketones were evaluated in workplace air via area and personal samples collected during batch preparation of the substitute buttermilk flavoring and production of a bakery mix containing the same flavoring. Air samples were evaluated using five different methods: NIOSH 2549, Modified OSHA PV2118, OSHA 1013, NIOSH Draft Procedure SMP2, and evacuated canisters. Of five buttermilk flavorings from five different flavorings manufacturers, diacetyl was present in four, including the substitute flavoring; acetoin in two; 2,3-pentanedione in four; 2,3-hexanedione in one; and 2,3-heptanedione in three. Among material safety data sheets (MSDS) for four flavorings, only one listed a hazardous ingredient, which was acetoin. The predominant flavoring ingredient identified in the headspace of the substitute flavoring was 2,3-pentanedione; all other chemicals noted above were also present. Diacetyl and 2,3-pentanedione were measured in workplace air via evacuated canisters. In one area and one personal air sample, 2,3-pentanedione was measured by OSHA Method 1013 at concentrations of 78 and 91 ppb, respectively. Without their or the employer's knowledge, workers who used buttermilk flavorings were exposed to substitute ketones from many flavorings manufacturers. Because 2,3-pentanedione, 2,3-hexanedione, and 2,3-heptanedione all share the same functional α-diketone group as diacetyl, these compounds also may share diacetyl's mechanism of toxicity. Until more is known about 2,3-pentanedione and other α-diketone compounds, they should not be assumed to be safe. Companies using artificial buttermilk flavorings should use a precautionary approach that assumes these flavorings pose a health risk and limit exposures through engineering and administrative controls and use of personal protective equipment.