Excess mortality in US Veterans during the COVID-19 pandemic: an individual-level cohort study.

BACKGROUND: Most analyses of excess mortality during the COVID-19 pandemic have employed aggregate data. Individual-level data from the largest integrated healthcare system in the US may enhance understanding of excess mortality. METHODS: We performed an observational cohort study following patients receiving care from the Department of Veterans Affairs (VA) between 1 March 2018 and 28 February 2022. We estimated excess mortality on an absolute scale (i.e. excess mortality rates, number of excess deaths) and a relative scale by measuring the hazard ratio (HR) for mortality comparing pandemic and pre-pandemic periods, overall and within demographic and clinical subgroups. Comorbidity burden and frailty were measured using the Charlson Comorbidity Index and Veterans Aging Cohort Study Index, respectively. RESULTS: Of 5 905 747 patients, the median age was 65.8 years and 91% were men. Overall, the excess mortality rate was 10.0 deaths/1000 person-years (PY), with a total of 103 164 excess deaths and pandemic HR of 1.25 (95% CI 1.25-1.26). Excess mortality rates were highest among the most frail patients (52.0/1000 PY) and those with the highest comorbidity burden (16.3/1000 PY). However, the largest relative mortality increases were observed among the least frail (HR 1.31, 95% CI 1.30-1.32) and those with the lowest comorbidity burden (HR 1.44, 95% CI 1.43-1.46). CONCLUSIONS: Individual-level data offered crucial clinical and operational insights into US excess mortality patterns during the COVID-19 pandemic. Notable differences emerged among clinical risk groups, emphasizing the need for reporting excess mortality in both absolute and relative terms to inform resource allocation in future outbreaks

Shared Disposition Decision Making in the Emergency Department for Persons Living with Dementia

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Identification of Emergency Care-Sensitive Conditions and Characteristics of Emergency Department Utilization.

Importance: Monitoring emergency care quality requires understanding which conditions benefit most from timely, quality emergency care. Objectives: To identify a set of emergency care-sensitive conditions (ECSCs) that are treated in most emergency departments (EDs), are associated with a spectrum of adult age groups, and represent common reasons for seeking emergency care and to provide benchmark national estimates of ECSC acute care utilization. Design, Setting, and Participants: A modified Delphi method was used to identify ECSCs. In a cross-sectional analysis, ECSC-associated visits by adults (aged ≥18 years) were identified based on International Statistical Classification of Diseases, Tenth Revision, Clinical Modification diagnosis codes and analyzed with nationally representative data from the 2016 US Nationwide Emergency Department Sample. Data analysis was conducted from January 2018 to December 2018. Main Outcomes and Measures: Identification of ECSCs and ECSC-associated ED utilization patterns, length of stay, and charges. Results: An expert panel rated 51 condition groups as emergency care sensitive. Emergency care-sensitive conditions represented 16 033 359 of 114 323 044 ED visits (14.0%) in 2016. On average, 8 535 261 of 17 886 220 ED admissions (47.7%) were attributed to ECSCs. The most common ECSC ED visits were for sepsis (1 716 004 [10.7%]), chronic obstructive pulmonary disease (1 273 319 [7.9%]), pneumonia (1 263 971 [7.9%]), asthma (970 829 [6.1%]), and heart failure (911 602 [5.7%]) but varied by age group. Median (interquartile range) length of stay for ECSC ED admissions was longer than non-ECSC ED admissions (3.2 [1.7-5.8] days vs 2.7 [1.4-4.9] days; P \u3c .001). In 2016, median (interquartile range) ED charges per visit for ECSCs were $2736 ($1684-$4605) compared with$2179 ($1118-$4359) per visit for non-ECSC ED visits (P \u3c .001). Conclusions and Relevance: This comprehensive list of ECSCs can be used to guide indicator development for pre-ED, intra-ED, and post-ED care and overall assessment of the adult, non-mental health, acute care system. Health care utilization and costs among patients with ECSCs are substantial and warrant future study of validation, variations in care, and outcomes associated with ECSCs

Hospital-level variation in risk-standardized admission rates for emergency care–sensitive conditions among older and younger Veterans

ObjectivesResearch examining emergency department (ED) admission practices within the Department of Veterans Affairs (VA) is limited. This study investigates facility-level variation in risk-standardized admission rates (RSARs) for emergency care–sensitive conditions (ECSCs) among older (≥65 years) and younger (<65 years) Veterans across VA EDs.MethodsVeterans presenting to a VA ED for an ECSC between October 1, 2016 and September 30, 2019 were identified and the 10 most common ECSCs established. ECSC-specific RSARs were calculated using hierarchical generalized linear models, adjusting for Veteran and encounter characteristics. The interquartile range ratio (IQR ratio) and coefficient of variation were measures of dispersion for each condition and were stratified by age group. Associations with facility characteristics were also examined in condition-specific multivariable models.ResultsThe overall cohort included 651,336 ED visits across 110 VA facilities for the 10 most common ECSCs—chronic obstructive pulmonary disease (COPD), heart failure, pneumonia, volume depletion, tachyarrhythmias, acute diabetes mellitus, gastrointestinal (GI) bleeding, asthma, sepsis, and myocardial infarction (MI). After adjusting for case mix, the ECSCs with the greatest variation (IQR ratio, coefficient of variation) in RSARs were asthma (1.43, 32.12), COPD (1.39, 24.64), volume depletion (1.38, 23.67), and acute diabetes mellitus (1.28, 17.52), whereas those with the least variation were MI (1.01, 0.87) and sepsis (1.02, 2.41). Condition-specific RSARs were not qualitatively different between age subgroups. Association with facility characteristics varied across ECSCs and within condition-specific age subgroups.ConclusionsWe identified unexplained facility-level variation in RSARs for Veterans presenting with the 10 most common ECSCs to VA EDs. The magnitude of variation did not appear to be qualitatively different between older and younger Veteran subgroups. Variation in RSARs for ECSCs may be an important target for systems-based levers to improve value in VA emergency care.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/176312/1/acem14691-sup-0004-Captions.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/176312/2/acem14691_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/176312/3/acem14691-sup-0001-FigureS1.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/176312/4/acem14691-sup-0002-TableS1.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/176312/5/acem14691.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/176312/6/acem14691-sup-0003-TableS2.pd

Veterans’ Use of Telehealth for Veterans Health Administration Community Care Urgent Care During the Early COVID-19 Pandemic

BackgroundSince the onset of the COVID-19 pandemic, telehealth has been an option for Veterans receiving urgent care through Veterans Health Administration Community Care (CC).ObjectiveWe assessed use, arrangements, Veteran decision-making, and experiences with CC urgent care delivered via telehealth.DesignConvergent parallel mixed methods, combining multivariable regression analyses of claims data with semistructured Veteran interviews.SubjectsVeterans residing in the Western United States and Hawaii, with CC urgent care claims March 1 to September 30, 2020.Key resultsIn comparison to having in-person only visits, having a telehealth-only visit was more likely for Veterans who were non-Hispanic Black, were urban-dwelling, lived further from the clinic used, had a COVID-related visit, and did not require an in-person procedure. Predictors of having both telehealth and in-person (compared with in-person only) visits were other (non-White, non-Black) non-Hispanic race/ethnicity, urban-dwelling status, living further from the clinic used, and having had a COVID-related visit. Care arrangements varied widely; telephone-only care was common. Veteran decisions about using telehealth were driven by limitations in in-person care availability and COVID-related concerns. Veterans receiving care via telehealth generally reported high satisfaction.ConclusionsCC urgent care via telehealth played an important role in providing Veterans with care access early in the COVID-19 pandemic. Use of telehealth differed by Veteran characteristics; lack of in-person care availability was a driver. Future work should assess for changes in telehealth use with pandemic progression, geographic differences, and impact on care quality, care coordination, outcomes, and costs to ensure Veterans' optimal and equitable access to care

Hypertension Control During the Coronavirus Disease 2019 Pandemic: A Cohort Study Among U.S. Veterans

DESIGN: Retrospective cohort study. OBJECTIVE: We sought to examine whether disruptions in follow-up intervals contributed to hypertension control. BACKGROUND: Disruptions in health care were widespread during the coronavirus disease 2019 pandemic. PATIENTS AND METHODS: We identified a cohort of individuals with hypertension in both prepandemic (March 2019-February 2020) and pandemic periods (March 2020-February 2022) in the Veterans Health Administration. First, we calculated follow-up intervals between the last prepandemic and first pandemic blood pressure measurement during a primary care clinic visit, and between measurements in the prepandemic period. Next, we estimated the association between the maintenance of (or achieving) hypertension control and the period using generalized estimating equations. We assessed associations between follow-up interval and control separately for periods. Finally, we evaluated the interaction between period and follow-up length. RESULTS: A total of 1,648,424 individuals met the study inclusion criteria. Among individuals with controlled hypertension, the likelihood of maintaining control was lower during the pandemic versus the prepandemic (relative risk: 0.93; 95% CI: 0.93, 0.93). Longer follow-up intervals were associated with a decreasing likelihood of maintaining controlled hypertension in both periods. Accounting for follow-up intervals, the likelihood of maintaining control was 2% lower during the pandemic versus the prepandemic. For uncontrolled hypertension, the likelihood of gaining control was modestly higher during the pandemic versus the prepandemic (relative risk: 1.01; 95% CI: 1.01, 1.01). The likelihood of gaining control decreased with follow-up length during the prepandemic but not pandemic. CONCLUSIONS: During the pandemic, longer follow-up between measurements contributed to the lower likelihood of maintaining control. Those with uncontrolled hypertension were modestly more likely to gain control in the pandemic

Preparing for Disaster: a Cross-Sectional Study of Social Connection and Gun Violence

Living in communities with persistent gun violence is associated with negative social, behavioral, and health outcomes, analogous to those of a natural disaster. Taking a disaster-preparedness approach may identify targets for community-based action to respond to on-going gun violence. We assessed the relevance of adapting a disaster-preparedness approach to gun violence and, specifically, the relationship between perceived collective efficacy, its subscales of social cohesion and informal social control, and exposure to gun violence. In 2014, we conducted a cross-sectional study using a community-based participatory research approach in two neighborhoods in New Haven, CT, with high violent crime rates. Participants were ≥18 years of age and English speaking. We measured exposure to gun violence by adapting the Project on Human Development in Chicago Neighborhoods Exposure to Violence Scale. We examined the association between perceived collective efficacy, measured by the Sampson Collective Efficacy Scale, and exposure to gun violence using multivariate modeling. We obtained 153 surveys (51% response rate, 14% refusal rate, and 35% non-response rate). Ninety-five percent reported hearing gunfire, 58% had friend or family member killed by gun violence, and 33% were physically present during a shooting. In the fully adjusted model, one standard deviation higher perceived collective efficacy was associated with lower reported exposure to gun violence (β = -0.91, p \u3c 0.001). We demonstrated that it is possible to activate community members and local officials to engage in gun violence research. A novel, community-based approach adapted from disaster-preparedness literature may be an effective framework for mitigating exposure to gun violence in communities with persistent gun violence

Excess Mortality Among Patients in the Veterans Affairs Health System Compared With the Overall US Population During the First Year of the COVID-19 Pandemic.

IMPORTANCE: During the first year of the COVID-19 pandemic, there was a substantial increase in the rate of death in the United States. It is unclear whether those who had access to comprehensive medical care through the Department of Veterans Affairs (VA) health care system had different death rates compared with the overall US population. OBJECTIVE: To quantify and compare the increase in death rates during the first year of the COVID-19 pandemic between individuals who received comprehensive medical care through the VA health care system and those in the general US population. DESIGN, SETTING, AND PARTICIPANTS: This cohort study compared 10.9 million enrollees in the VA, including 6.8 million active users of VA health care (those with a visit in the last 2 years), with the general population of the US, with deaths occurring from January 1, 2014, to December 31, 2020. Statistical analysis was conducted from May 17, 2021, to March 15, 2023. MAIN OUTCOMES AND MEASURES: Changes in rates of death from any cause during the COVID-19 pandemic in 2020 compared with previous years. Changes in all-cause death rates by quarter were stratified by age, sex, race and ethnicity, and region, based on individual-level data. Multilevel regression models were fit in a bayesian setting. Standardized rates were used for comparison between populations. RESULTS: There were 10.9 million enrollees in the VA health care system and 6.8 million active users. The demographic characteristics of the VA populations were predominantly male (>85% in the VA health care system vs 49% in the general US population), older (mean [SD], 61.0 [18.2] years in the VA health care system vs 39.0 [23.1] years in the US population), and had a larger proportion of patients who were White (73% in the VA health care system vs 61% in the US population) or Black (17% in the VA health care system vs 13% in the US population). Increases in death rates were apparent across all of the adult age groups (≥25 years) in both the VA populations and the general US population. Across all of 2020, the relative increase in death rates compared with expected values was similar for VA enrollees (risk ratio [RR], 1.20 [95% CI, 1.14-1.29]), VA active users (RR, 1.19 [95% CI, 1.14-1.26]), and the general US population (RR, 1.20 [95% CI, 1.17-1.22]). Because the prepandemic standardized mortality rates were higher in the VA populations prior to the pandemic, the absolute rates of excess mortality were higher in the VA populations. CONCLUSIONS AND RELEVANCE: In this cohort study, a comparison of excess deaths between populations suggests that active users of the VA health system had similar relative increases in mortality compared with the general US population during the first 10 months of the COVID-19 pandemic