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Studies have identified disparities by race/ethnicity and geographic status among veterans with traumatic brain injury (TBI) and renal failure (RF). We examined the association of race/ethnicity and geographic status with RF onset in veterans with and without TBI, and the impact of disparities on Veterans Health Administration resource costs., Methods: Demographics by TBI and RF status were assessed. We estimated Cox proportional hazards models for progression to RF and generalized estimating equations for inpatient, outpatient, and pharmacy cost annually and time since TBI + RF diagnosis, stratified by age., Results: Among 596,189 veterans, veterans with TBI progressed faster to RF than those without TBI (HR 1.96). Non-Hispanic Black veterans (HR 1.41) and those in US territories (HR 1.71) progressed faster to RF relative to non-Hispanic Whites and those in urban mainland areas. Non-Hispanic Blacks (-$5,180), Hispanic/Latinos ($-4,984), and veterans in US territories (-$3,740) received fewer annual total VA resources. This was true for all Hispanic/Latinos, while only significant for non-Hispanic Black and US territory veterans < 65 years. For veterans with TBI + RF, higher total resource costs only occurred ≥ 10 years after TBI + RF diagnosis ($32,361), independent of age. Hispanic/Latino veterans ≥ 65 years received $8,248 less than non-Hispanic Whites and veterans living in US territories < 65 years received $37,514 less relative to urban veterans., Conclusion: Concerted efforts to address RF progression in veterans with TBI, especially in non-Hispanic Blacks and those in US territories, are needed. Importantly, culturally appropriate interventions to improve access to care for these groups should be a priority of the Department of Veterans Affairs priority for these groups., (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Aims: To compare healthcare costs and use between United States (US) Veterans Health Administration (VHA) patients with opioid use disorder (OUD) who experienced an opioid overdose (OD cohort) and patients with OUD who did not experience an opioid overdose (non-OD cohort)., Design: This is a retrospective cohort study of administrative and clinical data., Setting: The largest integrated national health-care system is the US Veterans Health Administration's healthcare systems., Participants: We included VHA patients diagnosed with OUD from October 1, 2017 through September 30, 2018. We identified the index date of overdose for patients who had an overdose. Our control group, which included patients with OUD who did not have an overdose, was randomly assigned an index date. A total of 66 513 patients with OUD were included for analysis (OD cohort: n = 1413; non-OD cohort: n = 65 100)., Measurements: Monthly adjusted healthcare-related costs and use in the year before and after the index date. We used generalized estimating equation models to compare patients with an opioid overdose and controls in a difference-in-differences framework., Findings: Compared with the non-OD cohort, an opioid overdose was associated with an increase of $16 890 [95% confidence interval (CI) = $15 611-18 169; P < 0.001] in healthcare costs for an estimated $23.9 million in direct costs to VHA (95% CI = $22.1 million, $25.7 million) within the 30 days following overdose after adjusting for baseline characteristics. Inpatient costs ($13 515; 95% CI = $12 378-14 652; P < 0.001) reflected most of this increase. Inpatient days (+6.15 days; 95% CI, = 5.33-6.97; P < 0.001), inpatient admissions (+1.01 admissions; 95% CI = 0.93-1.10; P < 0.001) and outpatient visits (+1.59 visits; 95% CI = 1.34-1.84; P < 0.001) also increased in the month after opioid overdose. Within the overdose cohort, healthcare costs and use remained higher in the year after overdose compared with pre-overdose trends., Conclusions: The US Veterans Health Administration patients with opioid use disorder (OUD) who have experienced an opioid overdose have increased healthcare costs and use that remain significantly higher in the month and continuing through the year after overdose than OUD patients who have not experienced an overdose., (© 2023 The Authors. Addiction published by Society for the Study of Addiction on behalf of Society for the Study of Addiction. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)

Purpose: To provide a summary of the implementation of a virtual academic detailing pilot program at the US Department of Veterans Affairs (VA)., Summary: In September 2018, VA Pharmacy Benefits Management implemented a virtual academic detailing ("e-Detailing") pilot program across 3 regional networks. Academic detailing involves multifaceted collaborative outreach delivered by trained healthcare clinicians to other clinicians using targeted educational interventions that improve clinical decision-making. Across VA, academic detailing programs are primarily staffed by specially trained clinical pharmacist specialists. Implementation began with an in-person meeting to train academic detailers on using the virtual academic detailing platform (VA Video Connect) and virtual soft skills, which was followed by regular facilitation meetings to address issues and share experiences. During e-Detailing program implementation, coronavirus disease 2019 (COVID-19) emerged, prompting the US Department of Health and Human Services to declare a public health emergency. VA followed with restrictions on nonessential travel for all employees, thus hampering in-person academic detailing activities. Fortunately, e-Detailing provided an alternative channel for academic detailers across VA to continue delivering critical outreach to providers during the pandemic. Qualitative assessment of academic detailers' and providers' perceptions on e-Detailing highlighted the need for local leadership support for e-Detailing and telehealth, the efficiency of virtual compared to in-person visits, and potential time savings resulting from avoidance of long commutes., Conclusion: The timing of e-Detailing implementation during the COVID-19 pandemic illustrates the need and potential for a virtual platform to deliver timely provider outreach., (Published by Oxford University Press on behalf of the American Society of Health-System Pharmacists 2022.)

Objective: There is evidence Traumatic Brain Injury (TBI) is associated with increased risk of dementia (D). We compared VA and non-VA facility costs associated with TBI+D and each diagnosis alone, relative to neither diagnosis, annually and over time, 2000-2020., Methods: We estimated adjusted panel models of annual VHA costs in VA and non-VA facilities, stratified by age, and by TBI-dementia status. We also estimated cost for the TBI+D cohort by time since TBI and dementia diagnoses. All costs were 2021 inflation adjusted., Results: Veterans <65 ($30,736) and ≥65 ($15,650) with TBI+D, while veterans <65 ($3,379) and ≥65 ($4,252) with TBI-only had higher annual total VHA costs, relative to neither diagnosis. Veterans with TBI+D < 65 ($42,864) and ≥65 ($72,424) had higher costs in years≥15 after TBI diagnosis, while <65 ($36,431) and ≥65 ($37,589) had higher costs in years ≥10 after dementia diagnosis., Conclusions: The main cost driver was inpatient non-VA facility costs. Veterans had continuously increasing inpatient care costs in non-VA facilities over time since their TBI and dementia diagnoses. Given budget constraints on the VA system, quality of care in non-VA facilities warrants comparison with VA facilities to make informed decisions regarding referrals to non-VA facilities.

Background: Studies have demonstrated that individuals diagnosed with traumatic brain injury (TBI) frequently use medical and recreational cannabis to treat persistent symptoms of TBI, such as chronic pain and sleep disturbances, which can lead to cannabis use disorder (CUD). We aimed to determine the Veterans Health Administration (VHA) healthcare utilization and costs associated with CUD and dementia diagnosis in veterans with TBI. Methods: This observational study used administrative datasets from the population of post-9/11 veterans from the Long-term Impact of Military-Relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium and the VA Data Warehouse. We compared the differential VHA costs among the following cohorts of veterans: (1) No dementia diagnosis and No CUD group, (2) Dementia diagnosis only (Dementia only), (3) CUD only, and (4) comorbid dementia diagnosis and CUD (Dementia and CUD). Generalized estimating equations and negative binomial regression models were used to estimate total annual costs (inflation-adjusted) and the incidence rate of healthcare utilization, respectively, by dementia diagnosis and CUD status. Results: Data from 387,770 veterans with TBI (88.4% men; median [interquartile range (IQR)] age at the time of TBI: 30 [14] years; 63.5% white) were followed from 2000 to 2020. Overall, we observed a trend of gradually increasing healthcare costs 5 years after TBI onset. Interestingly, in this cohort of veterans within 5 years of TBI, we observed substantial healthcare costs in the Dementia only group (peak = $46,808) that were not observed in the CUD and dementia group. Relative to those without either condition, the annual total VHA costs were $3,368 higher in the CUD only group, while no significant differences were observed in the Dementia only and Dementia and CUD groups. Discussion: The findings suggest that those in the Dementia only group might be getting their healthcare needs met more quickly and within 5 years of TBI diagnosis, whereas veterans in the Dementia and CUD group are not receiving early care, resulting in higher long-term healthcare costs. Further investigations should examine what impact the timing of dementia and CUD diagnoses have on specific categories of inpatient and outpatient care in VA and community care facilities. [ABSTRACT FROM AUTHOR]