Palliative Care Utilization and Hospital Transfers in Veterans Treated in Telecritical Care-Supported Intensive Care Units Versus Non-Telecritical Care Intensive Care Units.

Background: Although telecritical care (TCC) implementation is associated with reduced mortality and interhospital transfer rates, its impact on goal-concordant care delivery in critical illness is unknown. We hypothesized that implementation of TCC across the Veterans' Health Administration system resulted in increased palliative care consultation and goals of care evaluation, yielding reduced transfer rates. Methods: We included veterans admitted to intensive care units between 2008 and 2022. We compared palliative care consultation and transfer rates before and after TCC implementation with rates in facilities that never implemented TCC. We used generalized linear mixed multivariable models to assess the associations between TCC initiation, palliative care consultation, and transfer and subsequently used mediation analysis to evaluate potential causality in this relationship. Results: Overall, 1,020,901 veterans met inclusion criteria. Demographic characteristics of patients were largely comparable across groups, although TCC facilities served more rural veterans. Palliative care consultation rates increased substantially in both ever-TCC and never-TCC hospitals during the study period (2.3%-4.3%, and 1.6%-4.7%, p < 0.01). Admissions post-TCC implementation were associated with an increased likelihood of palliative care consultation (odds ratio [OR] 1.08, 95% confidence interval [CI] 1.01-1.15). TCC implementation was also associated with a reduction in transfer rates (OR 0.90, 95% CI 0.84-0.95). Mediation analysis did not demonstrate a causal relationship between TCC implementation, palliative care consultation, and reductions in interhospital transfer rate. Conclusions: TCC is associated with increased palliative care engagement, while TCC and palliative care engagement are both independently related to reduced transfers.

Hydroxychloroquine use is associated with reduced mortality risk in older adults with rheumatoid arthritis.

BACKGROUND: There is little robust data about the cardiovascular safety of hydroxychloroquine in patients with rheumatoid arthritis (RA), who often have cardiovascular comorbidities. We examined the association between use of hydroxychloroquine (HCQ) in patients with RA and major adverse cardiovascular events (MACE). METHODS: In a retrospective cohort of Medicare beneficiaries aged ≥ 65 years with RA, we identified patients who initiated HCQ (users) and who did not initiate HCQ (non-users) between January 2015-June 2017. Each HCQ user was matched to 2 non-users of HCQ using propensity score derived from patient baseline characteristics. The primary outcome was the occurrence of MACE, defined as acute admissions for stroke, myocardial infarction, or heart failure. Secondary outcomes included all-cause mortality and the composite of MACE and all-cause mortality. Cox proportional hazards model was used to compare outcomes between HCQ users to non-users. RESULTS: The study included 2380 RA patients with incident HCQ use and matched 4633 HCQ non-users over the study period. The mean follow-up duration was 1.67 and 1.63 years in HCQ non-users and users, respectively. In multivariable models, use of HCQ was not associated with the risk of MACE (hazard ratio 1.1; 95% CI: 0.832-1.33). However, use of HCQ was associated with a lower risk of all-cause mortality (HR: 0.54; 95% CI: 0.45-0.64) and the composite of all-cause mortality and MACE (HR 0.67; 95% CI: 0.58-0.78). CONCLUSION: HCQ use was independently associated with a lower risk of mortality in older adults with RA but not with incidence of MACE events. Key Points • Using an incident user design (to avoid the biases of a prevalent user design) and a population-based approach, we examined the effect of hydroxychloroquine (HCQ) on the risk of major cardiovascular events (MACE) in older patients with RA. • We did not find an association between HCQ use and incident MACE. We did, however, find a significant association with the composite outcome (MACE and all-cause mortality) driven by a significant reduction in all-cause mortality with HCQ use.

The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem.

IMPORTANCE: This manuscript will be of interest to most Clinical and Translational Science Awards (CTSA) as they retool for the increasing emphasis on translational science from translational research. This effort is an extension of the EDW4R work that most CTSAs have done to deploy infrastructure and tools for researchers to access clinical data. OBJECTIVES: The Iowa Health Data Resource (IHDR) is a strategic investment made by the University of Iowa to improve access to real-world health data. The goals of IHDR are to improve the speed of translational health research, to boost interdisciplinary collaboration, and to improve literacy about health data. The first objective toward this larger goal was to address gaps in data access, data literacy, lack of computational environments for processing Personal Health Information (PHI) and the lack of processes and expertise for creating transformative datasets. METHODS: A three-pronged approach was taken to address the objective. The approach involves integration of an intercollegiate team of non-informatics faculty and staff, a data enclave for secure patient data analyses, and novel comprehensive datasets. RESULTS: To date, all five of the health science colleges (dentistry, medicine, nursing, pharmacy, and public health) have had at least one staff and one faculty member complete the two-month experiential learning curriculum. Over the first two years of this project, nine cohorts totaling 36 data liaisons have been trained, including 18 faculty and 18 staff. IHDR data enclave eliminated the need to duplicate computational infrastructure inside the hospital firewall which reduced infrastructure, hardware and human resource costs while leveraging the existing expertise embedded in the university research computing team. The creation of a process to develop and implement transformative datasets has resulted in the creation of seven domain specific datasets to date. CONCLUSION: The combination of people, process, and technology facilitates collaboration and interdisciplinary research in a secure environment using curated data sets. While other organizations have implemented individual components to address EDW4R operational demands, the IHDR combines multiple resources into a novel, comprehensive ecosystem IHDR enables scientists to use analysis tools with electronic patient data to accelerate time to science.

Location and Types of Treatment for Prostate Cancer After the Veterans Choice Program Implementation.

Importance: The Veterans Choice Program (VCP) was implemented in 2014 to help veterans gain broader access to specialized care outside of the Veterans Health Administration (VHA) facilities by providing them with purchased community care (CC). Objective: To describe the prevalence and patterns in VCP-funded purchased CC after the implementation of the VCP among veterans with prostate cancer. Design, Setting, and Participants: This cohort study used VHA administrative data on veterans with prostate cancer diagnosed between January 1, 2015, and December 31, 2018. These veterans were regular VHA primary care users. Analyses were performed from March to July 2023. Exposures: Driving distance (in miles) from residence to nearest VHA tertiary care facility. The location (VHA or purchased CC) in which treatment decisions were made was ascertained by considering 3 factors: (1) location of the diagnostic biopsy, (2) location of most of the postdiagnostic prostate-specific antigen laboratory testing, and (3) location of most of the postdiagnostic urological care encounters. Main Outcomes and Measures: The main outcome was receipt of definitive treatment and proportion of purchased CC by treatment type (radical prostatectomy [RP], radiotherapy [RT], or active surveillance) and by distance to nearest VHA tertiary care facility. Quality was evaluated based on receipt of definitive treatment for Gleason grade group 1 prostate cancer (low risk/limited treatment benefit by guidelines). Results: The cohort included 45 029 veterans (mean [SD] age, 67.1 [6.9] years) with newly diagnosed prostate cancer; of these patients, 28 866 (64.1%) underwent definitive treatment. Overall, 56.8% of patients received definitive treatment from the purchased CC setting, representing 37.5% of all RP care and 66.7% of all RT care received during the study period. Most patients who received active surveillance management (92.5%) remained within the VHA. Receipt of definitive treatment increased over the study period (from 5830 patients in 2015 to 9304 in 2018), with increased purchased CC for patients living farthest from VHA tertiary care facilities. The likelihood of receiving definitive treatment of Gleason grade group 1 prostate cancer was higher in the purchased CC setting (adjusted relative risk ratio, 1.79; 95% CI, 1.65-1.93). Conclusions and Relevance: This cohort study found that the percentage of veterans receiving definitive treatment in VCP-funded purchased CC settings increased significantly over the study period. Increased access, however, may come at the cost of low care quality (overtreatment) for low-risk prostate cancer.

Mortality Among US Veterans Admitted to Community vs Veterans Health Administration Hospitals for COVID-19.

Importance: Veterans Health Administration (VHA) enrollees receive care for COVID-19 in both VHA and non-VHA (ie, community) hospitals, but little is known about the frequency or outcomes of care for veterans with COVID-19 in VHA vs community hospitals. Objective: To compare outcomes among veterans admitted for COVID-19 in VHA vs community hospitals. Design, Setting, and Participants: This retrospective cohort study used VHA and Medicare data from March 1, 2020, to December 31, 2021, on hospitalizations for COVID-19 in 121 VHA and 4369 community hospitals in the US among a national cohort of veterans (aged ≥65 years) enrolled in both the VHA and Medicare with VHA care in the year prior to hospitalization for COVID-19 based on the primary diagnosis code. Exposure: Admission to VHA vs community hospitals. Main Outcomes and Measures: The main outcomes were 30-day mortality and 30-day readmission. Inverse probability of treatment weighting was used to balance observable patient characteristics (eg, demographic characteristics, comorbidity, mechanical ventilation on admission, area-level social vulnerability, distance to VHA vs community hospitals, and date of admission) between VHA and community hospitals. Results: The cohort included 64 856 veterans (mean [SD] age, 77.6 [8.0] years; 63 562 men [98.0%]) dually enrolled in the VHA and Medicare who were hospitalized for COVID-19. Most (47 821 [73.7%]) were admitted to community hospitals (36 362 [56.1%] admitted to community hospitals via Medicare, 11 459 [17.7%] admitted to community hospitals reimbursed via VHA's Care in the Community program, and 17 035 [26.3%] admitted to VHA hospitals). Admission to community hospitals was associated with higher unadjusted and risk-adjusted 30-day mortality compared with admission to VHA hospitals (crude mortality, 12 951 of 47 821 [27.1%] vs 3021 of 17 035 [17.7%]; P < .001; risk-adjusted odds ratio, 1.37 [95% CI, 1.21-1.55]; P < .001). Readmission within 30 days was less common after admission to community compared with VHA hospitals (4898 of 38 576 [12.7%] vs 2006 of 14 357 [14.0%]; risk-adjusted hazard ratio, 0.89 [95% CI, 0.86-0.92]; P < .001). Conclusions and Relevance: This study found that most hospitalizations for COVID-19 among VHA enrollees aged 65 years or older were in community hospitals and that veterans experienced higher mortality in community hospitals than in VHA hospitals. The VHA must understand the sources of the mortality difference to plan care for VHA enrollees during future COVID-19 surges and the next pandemic.

Impacts of Hurricane Matthew Exposure on Infections and Antimicrobial Prescribing in North Carolina Veterans.

The impact of hurricane-related flooding on infectious diseases in the US is not well understood. Using geocoded electronic health records for 62,762 veterans living in North Carolina counties impacted by Hurricane Matthew coupled with flood maps, we explore the impact of hurricane and flood exposure on infectious outcomes in outpatient settings and emergency departments as well as antimicrobial prescribing. Declines in outpatient visits and antimicrobial prescribing are observed in weeks 0-2 following the hurricane as compared with the baseline period and the year prior, while increases in antimicrobial prescribing are observed 3+ weeks following the hurricane. Taken together, hurricane and flood exposure appear to have had minor impacts on infectious outcomes in North Carolina veterans, not resulting in large increases in infections or antimicrobial prescribing.

Timely Curative Treatment and Overall Mortality Among Veterans With Stage I NSCLC.

Introduction: Early stage lung cancer (LC) outcomes depend on the receipt of timely therapy. We aimed to determine the proportions of Veterans with stage I NSCLC in the age group eligible for LC screening (LCS) receiving timely curative treatment (≤12 wk after diagnosis), the factors associated with timely treatment and modality, and the factors associated with overall mortality. Methods: Retrospective cohort study in Veterans aged 55 to 80 years when diagnosed with stage I NSCLC during 2011 to 2015. We used multivariate logistic regression models to determine factors associated with receiving timely therapy and receiving surgery versus stereotactic body radiation therapy (SBRT). We used multivariate Cox proportional hazards regression analysis to determine factors associated with overall mortality. Results: We identified 4796 Veterans with stage I NSCLC; the cohort was predominantly older, White males, current or former smokers, and living in urban areas. Overall, 84% underwent surgery and 16% underwent SBRT. The median time to treatment was 63 days (61 d for surgery; 71 d for SBRT), with 30% treated more than 12 weeks. Unmarried Veterans with higher social deprivation index were less likely to receive timely therapy. Black race, female sex, and never smoking were associated with lower overall mortality. Older Veterans receiving treatment >12 wk, with higher comorbidity index, and squamous cell carcinoma had higher overall mortality. Conclusions: A total of 30% of the Veterans with stage I NSCLC in the age group eligible for LCS received curative treatment more than 12 weeks after diagnosis, which was associated with higher overall mortality. Delays in LC treatment could decrease the mortality benefits of LCS among the Veterans.

Nephrotoxin Exposure and Acute Kidney Injury in Adults.

BACKGROUND: Rates of nephrotoxic AKI are not well described in adults due to lack of a clear definition, debate over which drugs should be considered nephrotoxins, and illness-related confounding. Nephrotoxic Injury Negated by Just-in Time Action (NINJA), a program that reduces rates of nephrotoxic AKI in pediatric populations, may be able to address these concerns, but whether NINJA can be effectively applied to adults remains unclear. METHODS: In this retrospective cohort study conducted at the University of Iowa Hospital, we included adult patients admitted to a general hospital floor for ≥48 hours during 2019. The NINJA algorithm screened charts for high nephrotoxin exposure and AKI. After propensity score matching, Cox proportional hazard modeling was used to evaluate the relationship between nephrotoxic exposure and all-stage AKI, stage 2-3 AKI, or death. Additional analyses evaluated the most frequent nephrotoxins used in this population. RESULTS: Of 11,311 patients, 1527 (16%) had ≥1 day of high nephrotoxin exposure. Patients with nephrotoxic exposures subsequently developed AKI in 29% of cases, and 22% of all inpatient AKI events met nephrotoxic AKI criteria. Common nephrotoxins were vancomycin, iodinated contrast dye, piperacillin-tazobactam, acyclovir, and lisinopril. After propensity score matching, Cox proportional hazard models for high nephrotoxin exposure were significantly associated with all AKI (hazard ratio [HR] 1.43, 1.19-1.72, P<0.001), stage 2-3 AKI (HR 1.78, 1.18-2.67, P=0.006), and mortality (HR 2.12, 1.09-4.11, P=0.03). CONCLUSIONS: Nephrotoxin exposure in adults is common and is significantly associated with AKI development, including stage 2-3 AKI.

Risk Factors for Death Among Veterans Following Acute Kidney Injury.

BACKGROUND: Acute kidney injury is prevalent among hospitalized veterans, and associated with increased risk of death following discharge. However, risk factors for death following acute kidney injury have not been well defined. We developed a mortality prediction model using Veterans Health Administration data. METHODS: This retrospective cohort study included inpatients from 2013 through 2018 with a creatinine increase of ≥0.3 mg/dL. We evaluated 45 variables for inclusion in our final model, with a primary outcome of 1-year mortality. Bootstrap sampling with replacement was used to identify variables selected in >60% of models using stepwise selection. Best sub-sets regression using Akaike information criteria was used to identify the best-fitting parsimonious model. RESULTS: A total of 182,683 patients were included, and 38,940 (21.3%) died within 1 year of discharge. The 10-variable model to predict mortality included age, chronic lung disease, cancer within 5 years, unexplained weight loss, dementia, congestive heart failure, hematocrit, blood urea nitrogen, bilirubin, and albumin. Notably, acute kidney injury stage, chronic kidney disease, discharge creatinine, and proteinuria were not selected for inclusion. C-statistics in the primary validation cohorts were 0.77 for the final parsimonious model, compared with 0.52 for acute kidney injury stage alone. CONCLUSION: We identified risk factors for long-term mortality following acute kidney injury. Our 10-variable model did not include traditional renal variables, suggesting that non-kidney factors contribute to the risk of death more than measures of kidney disease in this population, a finding that may have implications for post-acute kidney injury care.

Association of entry into hospice or palliative care consultation during acute care hospitalization with subsequent antibiotic utilization.

OBJECTIVE: We aimed to estimate antibiotic use during the last 6 months of life for hospitalized patients under hospice or palliative care and identify potential targets (i.e. time points) for antibiotic stewardship during the end-of-life period. METHODS: We conducted a retrospective cohort study of nationwide Veterans Affairs (VA) patients who died between January 1, 2014 and December 31, 2019 and who had been hospitalized within 6 months prior to death. Data from the VA's integrated electronic medical record were collected, including demographics, comorbid conditions, and duration of inpatient antibiotics administered, along with outpatient antibiotics dispensed. A propensity score-matched cohort analysis was conducted to compare antibiotic use between hospitalized patients placed into palliative care or hospice matched to hospitalized patients not receiving palliative care or hospice. RESULTS: There were 9808 and 40 796 propensity score-matched patient pairs in the hospice and palliative care groups, respectively. Within 14 days of placement or consultation, 41% (4040/9808) of hospice patients and 48% (19 735/40 796) of palliative care patients received at least one antibiotic, while 25% (2420/9808) matched nonhospice and 27% (10 991/40 796) matched nonpalliative care patients received antibiotics. Entry into hospice was independently associated with a 12% absolute increase in antibiotic prescribing, and entry into palliative care was associated with a 17% absolute increase during the 14 days post-entry vs. pre-entry period. DISCUSSION: We observed that patients receiving end-of-life care had high levels of antibiotic exposure across this VA population, particularly during admissions when they received hospice or palliative care consultation.

Obesity treatment initiation, retention, and outcomes in the Veterans Affairs MOVE! Program among rural and urban veterans.

Objective: Rural veterans have high obesity rates. Yet, little is known about this population's engagement with the Veterans Affairs (VA) weight management program (MOVE!). The study objective is to determine whether MOVE! enrollment, anti-obesity medication use, bariatric surgery use, retention, and outcomes differ by rurality for veterans with severe obesity. Methods: This is a retrospective cohort study using Veterans Health Administration patient databases, including VA patients with severe obesity during 2015-2017. Patients were categorized using Rural-Urban Commuting Area codes. Primary outcomes included proportion of patients and risk-adjusted likelihood of initiating VA MOVE!, anti-obesity medication, or bariatric surgery and risk-adjusted highly rural|Hazard Ratio (HR) of any obesity treatment. Secondary outcomes included treatment retention (≥12 weeks) and successful weight loss (5%) among patients initiating MOVE!, and risk-adjusted odds of retention and successful weight loss. Results: Among 640,555 eligible veterans, risk-adjusted relative likelihood of MOVE! treatment was significantly lower for rural and HR veterans (HR = 0.83, HR = 0.67, respectively). Initiation rates of anti-obesity medication use were significantly lower as well, whereas bariatric surgery rates, retention, and successful weight loss did not differ. Conclusions: Overall treatment rates with MOVE!, bariatric surgery, and anti-obesity medications remain low. Rural veterans are less likely to enroll in MOVE! and less likely to receive anti-obesity medications than urban veterans.

Association of Rapid Response Teams With Hospital Mortality in Medicare Patients.

BACKGROUND: Although rapid response teams have been widely promoted as a strategy to reduce unexpected hospital deaths, most studies of rapid response teams have not adjusted for secular trends in mortality before their implementation. We examined whether implementation of a rapid response team was associated with a reduction in hospital mortality after accounting for preimplementation mortality trends. METHODS: Among 56 hospitals in Get With The Guidelines-Resuscitation linked to Medicare, we calculated the annual rates of case mix-adjusted mortality for each hospital during 2000 to 2014. We constructed a hierarchical log-binomial regression model of mortality over time (calendar-year), incorporating terms to capture the effect of rapid response teams, to determine whether implementation of rapid response teams was associated with reduction in hospital mortality that was larger than expected based on preimplementation trends, while adjusting for hospital case mix index. RESULTS: The median annual number of Medicare admissions was 5214 (range, 408-18 398). The median duration of preimplementation and postimplementation period was 7.6 years (≈2.5 million admissions) and 7.2 years (≈2.6 million admissions), respectively. Hospital mortality was decreasing by 2.7% annually during the preimplementation period. Implementation of rapid response teams was not associated with a change in mortality during the initial year (relative risk for model intercept, 0.98 [95% CI, 0.94-1.02]; P=0.30) or in the mortality trend (relative risk for model slope, 1.01 per year [95% CI, 0.99-1.02]; P=0.30). Among individual hospitals, implementation of a rapid response team was associated with a lower-than-expected mortality at only 4 (7.1%) and higher-than-expected mortality at 2 (3.7%) hospitals. CONCLUSIONS: Among a large and diverse sample of US hospitals, we did not find implementation of rapid response teams to be associated with reduction in hospital mortality. Studies are needed to understand best practices for rapid response team implementation, to ensure that hospital investment in these teams improves patient outcomes.

Diffusion of Percutaneous Ventricular Assist Devices in US Markets.

BACKGROUND: Percutaneous ventricular assist devices (PVADs) have been replacing intra-aortic balloon pumps for hemodynamic support during percutaneous coronary intervention (PCI), even though data supporting a benefit for hard clinical end points remain limited. We evaluated diffusion of PVADs across US markets and examined the association of market utilization of PVAD with mortality and cost. METHODS: Using the 2013 to 2019 Medicare data, we identified all patients aged ≥65 years who underwent PCI with either a PVAD or intra-aortic balloon pump. We used hospital referral region to define regional health care markets and categorized them in quartiles based on the proportional use of PVADs during PCI. Multilevel models were constructed to determine the association of patient, hospital, and market factors with utilization of PVADs and the association of PVAD utilization with 30-day mortality and cost. RESULTS: A total of 79 176 patients underwent PCI with either intra-aortic balloon pump (47 514 [60.0%]) or PVAD (31 662 [40.0%]). The proportion of PCI procedures with PVAD increased over time (17% in 2013 to 57% in 2019; P for trend, <0.001), such that PVADs overtook intra-aortic balloon pump for hemodynamic support during PCI in 2018. There was a large variation in PVAD utilization across markets (range, 0%-85%), which remained unchanged after adjustment of patient characteristics (median odds ratio, 2.05 [95% CI, 1.91-2.17]). The presence of acute myocardial infarction, cardiogenic shock, and emergent status was associated with a 45% to 50% lower odds of PVAD use suggesting that PVADs were less likely to be used in the sickest patients. Greater utilization of PVAD at the market level was not associated with lower risk mortality but was associated with higher cost. CONCLUSIONS: Although utilization of PVADs for PCI continues to increase, there is large variation in PVAD utilization across markets. Greater market utilization of PVADs was not associated with lower mortality but was associated with higher cost.

Ankle- and Toe-Brachial Index for Peripheral Artery Disease Identification: Unlocking Clinical Data Through Novel Methods.

BACKGROUND: Despite its high prevalence and clinical impact, research on peripheral artery disease (PAD) remains limited due to poor accuracy of billing codes. Ankle-brachial index (ABI) and toe-brachial index can be used to identify PAD patients with high accuracy within electronic health records. METHODS: We developed a novel natural language processing (NLP) algorithm for extracting ABI and toe-brachial index values and laterality (right or left) from ABI reports. A random sample of 800 reports from 94 Veterans Affairs facilities during 2015 to 2017 was selected and annotated by clinical experts. We trained the NLP system using random forest models and optimized it through sequential iterations of 10-fold cross-validation and error analysis on 600 test reports and evaluated its final performance on a separate set of 200 reports. We also assessed the accuracy of NLP-extracted ABI and toe-brachial index values for identifying patients with PAD in a separate cohort undergoing ABI testing. RESULTS: The NLP system had an overall precision (positive predictive value) of 0.85, recall (sensitivity) of 0.93, and F1 measure (accuracy) of 0.89 to correctly identify ABI/toe-brachial index values and laterality. Among 261 patients with ABI testing (49% PAD), the NLP system achieved a positive predictive value of 92.3%, sensitivity of 83.1%, and specificity of 93.1% to identify PAD when compared with a structured chart review. The above findings were consistent in a range of sensitivity analysis. CONCLUSIONS: We successfully developed and validated an NLP system for identifying patients with PAD within the Veterans Affairs electronic health record. Our findings have broad implications for PAD research and quality improvement.

Risk from delayed or missed care and non-COVID-19 outcomes for older patients with chronic conditions during the pandemic.

BACKGROUND: During the COVID-19 pandemic, patients with chronic illnesses avoided regular medical care, raising concerns about long-term complications. Our objective was to identify a population of older patients with chronic conditions who may be at risk from delayed or missed care (DMC) and follow their non-COVID outcomes during the pandemic. METHODS: We used a retrospective matched cohort design using Medicare claims and electronic health records at a large health system with community and academic clinics. Participants included 14,406 patients over 65 years old with two or more chronic conditions who had 1 year of baseline data and up to 9 months of postpandemic follow-up from March 1, 2019 to December 31, 2020; and 14,406 matched comparison patients from 1 year prior. Risk from DMC was defined by 13 indicators, including chronic conditions, frailty, disability affecting the use of telehealth, recent unplanned acute care, prior missed outpatient care, and social determinants of health. Outcomes included mortality, inpatient events, Medicare payments, and primary care and specialty care visits (in-person and telehealth). RESULTS: A total of 25% of patients had four or more indicators for risk from DMC. Per 1000 patients annually, those with four or more indicators had increased mortality of 19 patients (95% confidence interval, 4 to 32) and decreased utilization, including unplanned events (-496 events, -611 to -381) and primary care visits (-1578 visits, -1793 to -1401). CONCLUSIONS: Older patients who had four or more indicators for risk from DMC had higher mortality and steep declines in inpatient and outpatient utilization during the pandemic.

Community-Level Economic Distress, Race, and Risk of Adverse Outcomes After Heart Failure Hospitalization Among Medicare Beneficiaries.

BACKGROUND: Socioeconomic disadvantage is a strong determinant of adverse outcomes in patients with heart failure. However, the contribution of community-level economic distress to adverse outcomes in heart failure may differ across races and ethnicities. METHODS: Patients of self-reported Black, White, and Hispanic race and ethnicity hospitalized with heart failure between 2014 and 2019 were identified from the Medicare MedPAR Part A 100% Files. We used patient-level residential ZIP code to quantify community-level economic distress on the basis of the Distressed Community Index (quintile 5: economically distressed versus quintiles 1-4: nondistressed). The association of continuous and categorical measures (distressed versus nondistressed) of Distressed Community Index with 30-day, 6-month, and 1-year risk-adjusted mortality, readmission burden, and home time were assessed separately by race and ethnicity groups. RESULTS: The study included 1 611 586 White (13.2% economically distressed), 205 840 Black (50.6% economically distressed), and 89 199 Hispanic (27.3% economically distressed) patients. Among White patients, living in economically distressed (versus nondistressed) communities was significantly associated with a higher risk of adverse outcomes at 30-day and 1-year follow-up. Among Black and Hispanic patients, the risk of adverse outcomes associated with living in distressed versus nondistressed communities was not meaningfully different at 30 days and became more prominent by 1-year follow-up. Similarly, in the restricted cubic spline analysis, a stronger and more graded association was observed between Distressed Community Index score and risk of adverse outcomes in White patients (versus Black and Hispanic patients). Furthermore, the association between community-level economic distress and risk of adverse outcomes for Black patients differed in rural versus urban areas. Living in economically distressed communities was significantly associated with a higher risk of mortality and lower home time at 1-year follow-up in rural areas but not urban areas. CONCLUSIONS: The association between community-level economic distress and risk of adverse outcomes differs across race and ethnic groups, with a stronger association noted in White patients at short- and long-term follow-up. Among Black patients, the association of community-level economic distress with a higher risk of adverse outcomes is less evident in the short term and is more robust and significant in the long-term follow-up and rural areas.

Health Care Utilization Among Texas Veterans Health Administration Enrollees Before and After Hurricane Harvey, 2016-2018.

Importance: Hurricanes and flooding can interrupt health care utilization. Understanding the magnitude and duration of interruptions, as well as how they vary according to hazard exposure, race, and income, are important for identifying populations in need of greater retention in care. Objective: To determine how the differential exposure to Hurricane Harvey in August 2017 is associated with changes in utilization of Veterans Health Administration health care. Design, Setting, and Participants: This is a retrospective cohort analysis of primary care practitioner (PCP) visits, emergency department visits, and inpatient admissions in the Veterans Health Administration among Texas veterans residing in counties impacted by Hurricane Harvey from 2016 to 2018. Data analysis was performed from September 2020 to May 2021. Exposures: Residential flooding after Hurricane Harvey. Main Outcomes and Measures: Interrupted time series analysis measured changes in health care utilization over time, stratified by residential flood exposure, race, and income. Results: Of the 99 858 patients in the cohort, 89 931 (90.06%) were male, and their median (range) age was 58 (21 to 102) years. Compared with veterans in nonflooded areas, veterans living in flooded areas were more likely to be Black (24 715 veterans [33.80%] vs 4237 veterans [15.85%]) and low-income (14 895 veterans [20.37%] vs 4853 veterans [18.15%]). Rates of PCP visits decreased by 49.78% (95% CI, -64.52% to -35.15%) for veterans in flooded areas and by 45.89% (95% CI, -61.93% to -29.91%) for veterans in nonflooded areas and did not rebound until more than 8 weeks after the hurricane. Rates of PCP visits in flooded areas remained lower than expected for 11 weeks among White veterans (-6.99%; 95% CI, -14.36% to 0.81%) and for 13 weeks among racial minority veterans (-7.22%; 95% CI, -14.11% to 0.30%). Low-income veterans, regardless of flood status, experienced greater suppression of PCP visits in the 8 weeks following the hurricane (-13.72%; 95% CI, -20.51% to -6.68%) compared with their wealthier counterparts (-9.63%; 95% CI, -16.74% to -2.26%). Conclusions and Relevance: These findings suggest that flood disasters such as Hurricane Harvey may be associated with declines in health care utilization that differ according to flood status, race, and income strata. Patients most exposed to the disaster also had the greatest delay or nonreceipt of care.

Hospital Variation in Non-Invasive Ventilation Use for Acute Respiratory Failure Due to COPD Exacerbation.

BACKGROUND: Non-invasive mechanical ventilation (NIV) use in patients admitted with acute respiratory failure due to COPD exacerbations (AECOPDs) varies significantly between hospitals. However, previous literature did not account for patients' illness severity. Our objective was to examine the variation in risk-standardized NIV use after adjusting for illness severity. METHODS: We retrospectively analyzed AECOPD hospitalizations from 2011 to 2017 at 106 acute-care Veterans Health Administration (VA) hospitals in the USA. We stratified hospitals based on the percentage of NIV use among patients who received ventilation support within the first 24 hours of admission into quartiles, and compared patient characteristics. We calculated the risk-standardized NIV % using hierarchical models adjusting for comorbidities and severity of illness. We then stratified the hospitals by risk-standardized NIV % into quartiles and compared hospital characteristics between quartiles. We also compared the risk-standardized NIV % between rural and urban hospitals. RESULTS: In 42,048 admissions for AECOPD over 6 years, the median risk-standardized initial NIV % was 57.3% (interquartile interval [IQI]=41.9-64.4%). Hospitals in the highest risk-standardized NIV % quartiles cared for more rural patients, used invasive ventilators less frequently, and had longer length of hospital stay, but had no difference in mortality relative to the hospitals in the lowest quartiles. The risk-standardized NIV % was 65.3% (IQI=34.2-84.2%) in rural and 55.1% (IQI=10.8-86.6%) in urban hospitals (p=0.047), but hospital mortality did not differ between the two groups. CONCLUSION: NIV use varied significantly across hospitals, with rural hospitals having higher risk-standardized NIV % rates than urban hospitals. Further research should investigate the exact mechanism of variation in NIV use between rural and urban hospitals.