Veterans Health Administration Emergency Department Research Articles

The association between population health management tools and clinician burnout in the United States VA primary care patient-centered medical home

BackgroundTechnological burden and medical complexity are significant drivers of clinician burnout. Electronic health record(EHR)-based population health management tools can be used to identify high-risk patient populations and implement prophylactic health practices. Their impact on clinician burnout, however, is not well understood. Our objective was to assess the relationship between ratings of EHR-based population health management tools and clinician burnout.MethodsWe conducted cross-sectional analyses of 2018 national Veterans Health Administration(VA) primary care personnel survey, administered as an online survey to all VA primary care personnel (n = 4257, response rate = 17.7%), using bivariate and multivariate logistic regressions. Our analytical sample included providers (medical doctors, nurse practitioners, physicians’ assistants) and nurses (registered nurses, licensed practical nurses). The outcomes included two items measuring high burnout. Primary predictors included importance ratings of 10 population health management tools (eg. VA risk prediction algorithm, recent hospitalizations and emergency department visits, etc.).ResultsHigh ratings of 9 tools were associated with lower odds of high burnout, independent of covariates including VA tenure, team role, gender, ethnicity, staffing, and training. For example, clinicians who rated the risk prediction algorithm as important were less likely to report high burnout levels than those who did not use or did not know about the tool (OR 0.73; CI 0.61-0.87), and they were less likely to report frequent burnout (once per week or more) (OR 0.71; CI 0.60-0.84).ConclusionsBurned-out clinicians may not consider the EHR-based tools important and may not be using them to perform care management. Tools that create additional technological burden may need adaptation to become more accessible, more intuitive, and less burdensome to use. Finding ways to improve the use of tools that streamline the work of population health management and/or result in less workload due to patients with poorly managed chronic conditions may alleviate burnout. More research is needed to understand the causal directional of the association between burnout and ratings of population health management tools.

Effect of the Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act Scribes Trial on Emergency Department Provider Productivity and Patient Throughput Times

BackgroundTo help improve access to care, section 507 of the VA MISSION (Maintaining Internal Systems and Strengthening Integrated Outside Networks) Act of 2018 mandated a 2-year trial of medical scribes in the Veterans Health Administration (VHA). ObjectiveThe impact of scribes on provider productivity and patient throughput time in VHA emergency departments (EDs) was evaluated. MethodsA clustered randomized trial was designed using intent-to-treat difference-in-differences analysis. The intervention period was from June 30, 2020 to July 1, 2022. The trial included six intervention and six comparison ED clinics. Two ED providers who volunteered to participate in the trial were assigned two scribes each. Scribes assisted providers with documentation and visit-related activities. The outcomes were provider productivity and patient throughput time per clinic-pay period. ResultsRandomization to intervention resulted in decreased provider productivity and increased patient throughput time. In adjusted regression models, randomization to scribes was associated with a decrease of 8.4 visits per full-time equivalent (95% confidence interval [CI] 12.4–4.3; p < 0.001) and 0.5 patients per day per provider (95% CI 0.8–0.3; p < 0.001). Intervention was associated with increases in length of stay of 29.1 min (95% CI 21.2–36.9 min; p < 0.001), 6.3 min in door to doctor (95% CI 2.9–9.6 min; p < 0.001), 19.5 min in door to disposition (95% CI 13.2–25.9 min; p < 0.001), and 13.7 min in doctor to disposition (95% CI 8.8–18.6 min; p < 0.001). ConclusionsScribes were associated with decreased provider productivity and increased patient throughput time in VHA EDs. Although scribes may have contributed to improvements in other dimensions of quality, further examination of the ways in which scribes were used is advisable before widespread adoption in VHA EDs.

Emergency department visits at Veterans Health Administration hospitals related to alcohol intoxication: A ten-year retrospective

We sought to quantify and describe the volume of emergency department visits related to alcohol intoxication at the Veterans Health Administration (VHA), the largest healthcare system in the United States. This is a retrospective cohort study of patients with VHA emergency department visits for alcohol intoxication from 2010 to 2019 as identified via ICD-9/10 code and/or serum ethanol concentration >50 mg/dL. Encounters were identified and demographic and clinical data were acquired by automated query of the VHA Corporate Data Warehouse. Descriptive statistics and univariate analysis were performed. We identified 95,123 patients with a total of 251,310 emergency department visits. The annual number of visits increased over the study period, reaching 32,333 in 2019. Men aged 40–60 were the most common demographic group in the cohort (48% of all patients), and men made up a higher proportion of patients in the database (94%) than the VHA population overall (90%). A disproportionate number of visits (32%) came from the top 4.4% of most frequent visitors. Most of the emergency department visits in the database (68%) were associated with medical or psychiatric admission, or interfacility transfer for admission elsewhere. Patients in the cohort accounted for 1.3% of all VHA emergency department visits during the study period, a proportion that is somewhat smaller than what has been reported at non-VHA facilities, despite the high prevalence of addiction disorders in the VHA patient population. We submit that this lower-than-expected proportion of alcohol-related emergency department visits may be due to the access to primary and mental care which is afforded by VHA patient benefits.

Trends in Cannabis-positive Urine Toxicology Test Results: US Veterans Health Administration Emergency Department Patients, 2008 to 2019.

This study aimed to examine trends in cannabis-positive urine drug screens (UDSs) among emergency department (ED) patients from 2008 to 2019 using data from the Veterans Health Administration (VHA) health care system, and whether these trends differed by age group (18-34, 35-64, and 65-75 years), sex, and race, and ethnicity. VHA electronic health records from 2008 to 2019 were used to identify the percentage of unique VHA patients seen each year at an ED, received a UDS, and screened positive for cannabis. Trends in cannabis-positive UDS were examined by age, race and ethnicity, and sex within age groups. Of the VHA ED patients with a UDS, the annual prevalence positive for cannabis increased from 16.42% in 2008 to 27.2% in 2019. The largest increases in cannabis-positive UDS were observed in the younger age groups. Male and female ED patients tested positive for cannabis at similar levels. Although the prevalence of cannabis-positive UDS was consistently highest among non-Hispanic Black patients, cannabis-positive UDS increased in all race and ethnicity groups. The increasing prevalence of cannabis-positive UDS supports the validity of previously observed population-level increases in cannabis use and cannabis use disorder from survey and administrative records. Time trends via UDS results provide additional support that previously documented increases in self-reported cannabis use and disorder from surveys and claims data are not spuriously due to changes in patient willingness to report use as it becomes more legalized, or due to greater clinical attention over time.

Validating administratively derived frailty scores for use in Veterans Health Administration emergency departments.

Frailty is a clinical syndrome characterized by decreased physiologic reserve that diminishes the ability to respond to stressors such as acute illness. Veterans Health Administration (VA) emergency departments (ED) are the primary venue of care for Veterans with acute illness and represent key sites for frailty recognition. As questionnaire-based frailty instruments can be cumbersome to implement in the ED, we examined two administratively derived frailty scores for use among VA ED patients. This national retrospective cohort study included all VA ED visits (2017-2020). We evaluated two administratively derived scores: the Care Assessment Needs (CAN) score and the VA Frailty Index (VA-FI). We categorized all ED visits across four frailty groups and examined associations with outcomes of 30-day and 90-day hospitalization and 30-day, 90-day, and 1-year mortality. We used logistic regression to assess the model performance of the CAN score and the VA-FI. The cohort included 9,213,571 ED visits. With the CAN score, 28.7% of the cohort were classified as severely frail; by VA-FI, 13.2% were severely frail. All outcome rates increased with progressive frailty (p-values for all comparisons < 0.001). For example, for 1-year mortality based on the CAN score frailty was determined as: robust, 1.4%; prefrail, 3.4%; moderately frail, 7.0%; and severely frail, 20.2%. Similarly, for 90-day hospitalization based on VA-FI, frailty was determined as prefrail, 8.3%; mildly frail, 15.3%; moderately frail, 29.5%; and severely frail, 55.4%. The c-statistics for CAN score models were higher than for VA-FI models across all outcomes (e.g., 1-year mortality, 0.721 vs. 0.659). Frailty was common among VA ED patients. Increased frailty, whether measured by CAN score or VA-FI, was strongly associated with hospitalization and mortality and both can be used in the ED to identify Veterans at high risk for adverse outcomes. Having an effective automatic score in VA EDs to identify frail Veterans may allow for better targeting of scarce resources.

Delivery system emergency department capacity and its effect on nonsystem service utilization.

Emergency department (ED) use is often seen as a source of excess health care spending, prompting managers to limit ED capacity in their health systems. However, if limited ED capacity in a delivery system leads patients to seek emergency care elsewhere, then health care quality and efficient management may be compromised within the system. The objective of this study was to explore the effect of the Veterans Health Administration (VHA) in-house ED clinician capacity on VHA community care (CC) ED claims. We used administrative data from the VHA to identify CC ED claims and Department of Veterans Affairs emergency physician (EP) capacity for 2014-2019. We used quasi-experimental instrumental variables approach with two different instruments: percent weekday federal holidays and VHA EP full-time equivalents (FTEs). We controlled for VHA ED variables such as ED wait times (door to triage, door to doctor, and door to admission) and demand variables such as alternative insurance coverage, driving time to VHA care, and demographic variables (employment, age, household income, race, gender, and VHA priority status). After instrumenting for capacity with percent weekday federal holidays, we found that one clinic-day capacity (one 8-h ED shift) per 10,000 enrollees increase at the VHA ED will result in a reduction of 61 CC ED claims per 10,000 enrollees. After instrumenting for capacity with EP FTE, we found that one clinic-day capacity (one 8-h ED shift) per 10,000 enrollees increase at the VHA ED will result in a reduction of 48 CC ED claims per 10,000 enrollees. Both of these results are statistically significant at p< 0.001. Our findings imply that offering more in-house ED care, in the form of clinician capacity, can substantially reduce out-of-system ED use. The results may be of interest to integrated health care system managers who prefer their patients to stay within network.

Leveraging VA geriatric emergency department accreditation to improve elder abuse detection in older Veterans using a standardized tool.

Elder abuse (EA) is common and has devastating health impacts, yet most cases go undetected limiting opportunities to intervene. Older Veterans receiving care in the Veterans Health Administration (VHA) represent a high-risk population for EA. VHA emergency department (ED) visits provide a unique opportunity to identify EA, as assessment for acute injury or illness may be the only time isolated older Veterans leave their home, but most VHA EDs do not have standardized EA assessment protocols. To address this, we assembled an interdisciplinary team of VHA social workers, physicians, nurses, intermediate care technicians (ICTs; former military medics and corpsmen who often conduct screenings in VHA EDs) and both VHA and non-VHA EA subject matter experts to adapt the Elder Mistreatment Screening and Response Tool (EM-SART) to pilot in the Louis Stokes Cleveland VA Medical Center geriatric ED (GED) program. The cornerstone of their approach is an interdisciplinary GED consultation led by ICTs and nurses who screen high-risk older Veterans for geriatric syndromes and unmet needs. The adapted EM-SART was integrated into the electronic health record and GED workflow in December 2020. By July 2022, a total of 251 Veterans were screened with nine (3.6%) positive on the prescreen and five (2%) positive on the comprehensive screen. Based on the first-year pilot experience, the interdisciplinary team was expanded and convened regularly to further adapt the EM-SART for wider use in VHA, including embedding flexibility for both licensed and nonlicensed clinicians to complete the screening tool and tailoring response options to be specific to VHA policy and resources. The national momentum for VHA EDs to improve care for older Veterans and secure GED accreditation offers unique opportunities to embed this evidence-based approach to EA assessment in the largest integrated health system in the United States.

Comparison Groups Matter in Traumatic Brain Injury Research: An Example with Dementia.

The association between traumatic brain injury (TBI) and risk for Alzheimer disease and related dementias (ADRD) has been investigated in multiple studies, yet reported effect sizes have varied widely. Large differences in comorbid and demographic characteristics between individuals with and without TBI could result in spurious associations between TBI and poor outcomes, even when control for confounding is attempted. Yet, inadvertent control for post-TBI exposures (e.g., psychological and physical trauma) could result in an underestimate of the effect of TBI. Choice of the unexposed or comparison group is critical to estimating total associated risk. The objective of this study was to highlight how selection of the comparison group impacts estimates of the effect of TBI on risk for ADRD. Using data on Veterans aged ≥55 years obtained from the Veterans Health Administration (VA) for years 1999-2019, we compared risk of ADRD between Veterans with incident TBI (n = 9440) and (1) the general population of Veterans who receive care at the VA (All VA) (n = 119,003); (2) Veterans who received care at a VA emergency department (VA ED) (n = 111,342); and (3) Veterans who received care at a VA ED for non-TBI trauma (VA ED NTT) (n = 65,710). In inverse probability of treatment weighted models, TBI was associated with increased risk of ADRD compared with All VA (hazard ratio [HR] 1.94; 95% confidence interval [CI] 1.84, 2.04), VA ED (HR 1.42; 95% CI 1.35, 1.50), and VA ED NTT (HR 1.12; 95% CI 1.06, 1.18). The estimated effect of TBI on incident ADRD was strongly impacted by choice of the comparison group.

Provider Perceptions of Opioid Safety Measures in VHA Emergency Departments and Urgent Care Centers.

A priority for Veterans Health Administration (VHA) leadership is increasing access to lifesaving treatment, particularly naloxone distribution and medication-assisted treatment (MAT) for opioid use disorder (OUD) for veterans. To date, these practices are not widely done in the VHA emergency departments (ED) and urgent care centers (UCC). The goal of this research was to understand advanced care provider perceptions of barriers and facilitators to naloxone distribution or MAT initiation in VHA ED/UCCs. We developed and disseminated a survey to VHA ED and UCC advanced care providers, including medical doctors (MD/DO), physician assistants (PAs), and nurse practitioners (NPs). Descriptive statistical analysis was conducted. There was 16.7% response rate (372 out of 2228 providers) from 103 of 132 sites across all VA regions. The top barrier for ED/UCCs providers to both naloxone and MAT initiation was the feeling that it was beyond their scope of practice (35.2% and 53.2%, respectively). Other reported barriers to MAT initiation included unclear follow-up plan and system for referral of care (50.1%) and feeling uncomfortable using MAT medications (28.8%). Top facilitators for prescribing naloxone included pharmacist who could help prescribe/educate the patient on the medication (44.6%) and patient knowledge of medication options to help overdose (31.7%). The top facilitator for MAT initiation from the ED/UCC was additional VA-based same day treatment options (34.9%). Present findings offer a look into possible challenges to address or opportunities to leverage when considering or developing an ED/UCC-based naloxone distribution or MAT-initiation implementation program in VHA facilities.

Transfer boarding delays care more in low-volume rural emergency departments: A cohort study.

Emergency department (ED) crowding is increasing and is associated with adverse patient outcomes. The objective of this study was to measure the relative impact of ED boarding on timeliness of early ED care for new patient arrivals, with a focus on the differential impact in low-volume rural hospitals. A retrospective cohort of all patients presenting to a Veterans Health Administration (VHA) ED between 2011 and 2014. The primary exposure was the number of patients in the ED at the time of ED registration, stratified by disposition (admit, discharge, or transfer) and mental health diagnosis. The primary outcome was time-to-provider evaluation, and secondary outcomes included time-to-EKG, time-to-laboratory testing, time-to-radiography, and total ED length-of-stay. Rurality was measured using the Rural-Urban Commuting Areas. A total of 5,912,368 patients were included from all 123 VHA EDs. Adjusting for acuity, new patients had longer time-to-provider when more patients were in the ED, and patients awaiting transfer for nonmental health conditions impacted time-to-provider for new patients (16.6 min delays, 95% CI: 12.3-20.7 min) more than other patient types. Rural patients saw a greater impact of crowding on care timeliness than nonrural patients (additional 5.3 min in time-to-provider per additional patient in ED, 95% CI: 4.3-6.4), and the impact of additional patients in all categories was most pronounced in the lowest-volume EDs. Patients seen in EDs with more crowding have small, but additive, delays in early elements of ED care, and transferring patients with nonmental health diagnoses from rural facilities were associated with the greatest impact.

Impact of Implementation of the Core Elements of Outpatient Antibiotic Stewardship Within Veterans Health Administration Emergency Departments and Primary Care Clinics on Antibiotic Prescribing and Patient Outcomes.

The Core Elements of Outpatient Antibiotic Stewardship provide a framework to improve antibiotic use. We report the impact of core elements implementation within Veterans Health Administration sites. In this quasiexperimental controlled study, effects of an intervention targeting antibiotic prescription for uncomplicated acute respiratory tract infections (ARIs) were assessed. Outcomes included per-visit antibiotic prescribing, treatment appropriateness, ARI revisits, hospitalization, and ARI diagnostic changes over a 3-year pre-implementation period and 1-year post-implementation period. Logistic regression adjusted for covariates (odds ratio [OR], 95% confidence interval [CI]) and a difference-in-differences analysis compared outcomes between intervention and control sites. From 2014-2019, there were 16 712 and 51 275 patient visits within 10 intervention and 40 control sites, respectively. Antibiotic prescribing rates pre- and post-implementation within intervention sites were 59.7% and 41.5%, compared to 73.5% and 67.2% within control sites, respectively (difference-in-differences, P < .001). Intervention site pre- and post-implementation OR to receive appropriate therapy increased (OR, 1.67; 95% CI, 1.31-2.14), which remained unchanged within control sites (OR,1.04; 95% CI, .91-1.19). ARI-related return visits post-implementation (-1.3% vs -2.0%; difference-in-differences P = .76) were not different, but all-cause hospitalization was lower within intervention sites (-0.5% vs -0.2%; difference-in-differences P = .02). The OR to diagnose non-specific ARI compared with non-ARI diagnoses increased post-implementation forintervention (OR, 1.27; 95% CI, 1.21 -1.34) but not control (OR, 0.97; 95% CI, .94-1.01) sites. Implementation of the core elements was associated with reduced antibiotic prescribing for RIs and a reduction in hospitalizations. Diagnostic coding changes were observed.

341 Changes in Atypical Discharges before and during the COVID-19 Pandemic

Many emergency departments outside of zones of major outbreaks during the COVID-19 pandemic saw ED volumes decrease substantially during the pandemic. The pandemic both changed volume and acuity in many departments. We sought to review how this has affected our atypical discharge rates: left without being seen (LWBS), against medical advice (AMA), and eloped (E). The setting is a 28,000 visit Veterans Health Administration emergency department.

Social determinants and emergency department utilization: Findings from the Veterans Health Administration

BackgroundSocial determinants of health (SDH) are strong predictors of morbidity and mortality but health care systems struggle to integrate documentation of SDH into health records in ways that can be used for health services research. Given the impact of social factors on health, it is important to examine the relationship with emergency department (ED) utilization. ObjectiveTo examine the association between seven indicators of SDH and ED utilization using electronic health record (EHR) data from the Veterans Health Administration (VHA). MethodsThis cross-sectional analysis included data from all patients who had at least one health care visit in the Veterans Integrated Service Network region 4 from October 1, 2015 through September 30, 2016 (n=293,872). Seven categories of adverse SDH included violence, housing instability, employment or financial problems, legal problems, social or family problems, lack of access to care or transportation, and non-specific psychosocial needs identified through structured coding in EHR. Negative binomial regression was used to examine the association of the count of adverse SDH (0–7) with the count of ED visits, adjusting for socio-demographic and health-related factors. ResultsApproximately 18% of patients visited the ED during the observation period. After adjusting for covariates, adverse SDH were positively associated with VHA ED utilization. Each of the SDH indicators, other than legal issues, was positively associated with increased ED utilization. ConclusionEven after accounting for several demographic and health-related factors, adverse SDH demonstrated strong positive associations with VHA ED utilization.

Feasibility Study of a Quasi-experimental Regional Opioid Safety Prescribing Program in Veterans Health Administration Emergency Departments.

The Veterans Health Administration (VHA) Opioid Safety Initiative (OSI) was implemented in 2013 and was associated with a 25% relative decrease in the dispensing of opioids. Although emergency department (ED) providers play a role in the initiation and continuation of opioids, the incumbent OSI did not target EDs. The goal of this feasibility study was to leverage the existing VHA OSI and test a novel ED-based quality improvement (QI) program to decrease opioid prescribing in multiple ED settings. This was a quasi-experimental study of phased-in implementation of a QI ED-based OSI. The general setting for this pilot were four VHA EDs across the Veterans Integrated Services Network (VISN) region 19: Denver, Oklahoma City, Muskogee, and Salt Lake City. We developed and disseminated a dashboard to assess ED-specific prescribing rates and an ED-tailored toolkit to implement the program. Academic detailing pharmacists provided focused audits and feedback with the highest prescribing providers. We measured change in ED-provider prescribing rate of opioids for patients discharged from the ED, by provider and aggregated up to facility level, pre- and postimplementation. Interrupted time-series analysis of provider-level data from the program implementation sites indicated a significant decrease in the trend for proportion of opioid prescriptions relative to the preintervention trend. The results of the analysis suggest that the intervention was associated with accelerating the rate at which ED provider prescribing rates decreased. Due to the high volume of patients and the vital role the ED plays in patient treatment and hospital admissions, it is evident that the ED is an important site for QI programs as well as the implementation of opioid safety measures. Given the findings of this pilot, we believe that implementation of a national Veterans Affairs ED OSI implementation is feasible practice.

Potentially avoidable Inter-Facility transfer from Veterans Health Administration emergency departments: A cohort study

BackgroundInter-facility transfer is an important strategy for improving access to specialized health services, but transfers are complicated by over-triage, under-triage, travel burdens, and costs. The purpose of this study is to describe ED-based inter-facility transfer practices within the Veterans Health Administration (VHA) and to estimate the proportion of potentially avoidable transfers.MethodsThis observational cohort study included all patients treated in VHA EDs between 2012 and 2014 who were transferred to another VHA hospital. Potentially avoidable transfers were defined as patients who were either discharged from the receiving ED or admitted to the receiving hospital for ≤1 day without having an invasive procedure performed. We conducted facility- and diagnosis-level analyses to identify subgroups of patients for whom potentially avoidable transfers had increased prevalence.ResultsOf 6,173,189 ED visits during the 3-year study period, 18,852 (0.3%) were transferred from one VHA ED to another VHA facility. Rural residents were transferred three times as often as urban residents (0.6% vs. 0.2%, p < 0.001), and 22.8% of all VHA-to-VHA transfers were potentially avoidable transfers. The 3 disease categories most commonly associated with inter-facility transfer were mental health (34%), cardiac (12%), and digestive diagnoses (9%).ConclusionsVHA inter-facility transfer is commonly performed for mental health and cardiac evaluation, particularly for patients in rural settings. The proportion that are potentially avoidable is small. Future work should focus on improving capabilities to provide specialty evaluation locally for these conditions, possibly using telehealth solutions.

The quality of medication optimization among patients with transient ischemic attack or minor stroke

AbstractObjectiveTo assess the quality of medication optimization for transient ischemic attack (TIA) and minor stroke patients across the Veterans Health Administration (VHA), and to identify characteristics predicting medication optimization for hypertension, hyperlipidemia, and diabetes. The scope of this study focuses on these three medication‐related conditions and defines optimization as medication changes or additions made within a guideline‐defined timeframe.MethodsWe constructed a retrospective cohort including all patients discharged with a TIA or minor stroke (index event) in any VHA Emergency Department (ED) or inpatient setting during fiscal year 2011. Inpatient and outpatient medical/pharmacy data were collected from a variety of electronic health sources for 1 year prior to and up to 90 days after discharge. Medication optimization for hypertension, hyperlipidemia, and diabetes was defined using relevant VHA and American Heart Association/American Stroke Association guidelines. For each of the three medication‐based outcomes, multivariable logistic regression models examined demographic, past medical history, and other clinical variables to identify predictors of optimization.ResultsAmong 8427 patients, 33.7% (n = 2837) were eligible for medication optimization for hypertension, 55.2% (n = 4655) for hyperlipidemia, and 7.2% (n = 606) for diabetes. Guideline‐concordant medication optimization occurred for 28% of eligible patients with hypertension, 28% of patients with hyperlipidemia, and 34% of patients with diabetes. Factors that were associated with medication optimization included younger age, inpatient stay (vs discharge from the ED), greater baseline disease severity (higher blood pressure, low‐density lipoprotein [LDL] cholesterol, or hemoglobin A1c [glycated hemoglobin]), and primary care follow‐up within 30 days after the index event.ConclusionOne‐third or fewer eligible patients with TIA or minor stroke had their medications optimized in a timely manner in concordance with evidence‐based guidelines. Interventions to improve timely medication optimization are needed to reduce the risk of recurrent vascular events in this high‐risk population.

An operations-partnered evaluation of care redesign for high-risk patients in the Veterans Health Administration (VHA): Study protocol for the PACT Intensive Management (PIM) randomized quality improvement evaluation

BackgroundPatient-centered medical homes have made great strides providing comprehensive care for patients with chronic conditions, but may not provide sufficient support for patients at highest risk for acute care use. To address this, the Veterans Health Administration (VHA) initiated a five-site demonstration project to evaluate the effectiveness of augmenting the VA's Patient Aligned Care Team (PACT) medical home with PACT Intensive Management (PIM) teams for Veterans at highest risk for hospitalization. Methods/designResearchers partnered with VHA leadership to design a mixed-methods prospective multi-site evaluation that met leadership's desire for a rigorous evaluation conducted as quality improvement rather than research. We conducted a randomized QI evaluation and assigned high-risk patients to participate in PIM and compared them with high-risk Veterans receiving usual care through PACT. The summative evaluation examines whether PIM: 1) decreases VHA emergency department and hospital use; 2) increases satisfaction with VHA care; 3) decreases provider burnout; and 4) generates positive returns on investment. The formative evaluation aims to support improved care for high-risk patients at demonstration sites and to inform future initiatives for high-risk patients. The evaluation was reviewed by representatives from the VHA Office of Research and Development and the Office of Research Oversight and met criteria for quality improvement. DiscussionVHA aims to function as a learning organization by rapidly implementing and rigorously testing QI innovations prior to final program or policy development. We observed challenges and opportunities in designing an evaluation consistent with QI standards and operations priorities, while also maintaining scientific rigor.Trial registration: This trial was retrospectively registered at ClinicalTrials.gov on April 3, 2017: NCT03100526. Protocol v1, FY14-17.

Quality of Care for Veterans With Transient Ischemic Attack and Minor Stroke

The timely delivery of guideline-concordant care may reduce the risk of recurrent vascular events for patients with transient ischemic attack (TIA) and minor stroke. Although many health care organizations measure stroke care quality, few evaluate performance for patients with TIA or minor stroke, and most include only a limited subset of guideline-recommended processes. To assess the quality of guideline-recommended TIA and minor stroke care across the Veterans Health Administration (VHA) system nationwide. This cohort study included 8201 patients with TIA or minor stroke cared for in any VHA emergency department (ED) or inpatient setting during federal fiscal year 2014 (October 1, 2013, through September 31, 2014). Patients with length of stay longer than 6 days, ventilator use, feeding tube use, coma, intensive care unit stay, inpatient rehabilitation stay before discharge, or receipt of thrombolysis were excluded. Outlier facilities for each process of care were identified by constructing 95% CIs around the facility pass rate and national pass rate sites when the 95% CIs did not overlap. Data analysis occurred from January 16, 2016, through June 30, 2017. Ten elements of care were assessed using validated electronic quality measures. In the 8201 patients included in the study (mean [SD] age, 68.8 [11.4] years; 7877 [96.0%] male; 4856 [59.2%] white), performance varied across elements of care: brain imaging by day 2 (6720/7563 [88.9%]; 95% CI, 88.2%-89.6%), antithrombotic use by day 2 (6265/7477 [83.8%]; 95% CI, 83.0%-84.6%), hemoglobin A1c measurement by discharge or within the preceding 120 days (2859/3464 [82.5%]; 95% CI, 81.2%-83.8%), anticoagulation for atrial fibrillation by day 7 after discharge (1003/1222 [82.1%]; 95% CI, 80.0%-84.2%), deep vein thrombosis prophylaxis by day 2 (3253/4346 [74.9%]; 95% CI, 73.6%-76.2%), hypertension control by day 90 after discharge (4292/5979 [71.8%]; 95% CI, 70.7%-72.9%), neurology consultation by day 1 (5521/7823 [70.6%]; 95% CI, 69.6%-71.6%), electrocardiography by day 2 or within 1 day prior (5073/7570 [67.0%]; 95% CI, 65.9%-68.1%), carotid artery imaging by day 2 or within 6 months prior (4923/7685 [64.1%]; 95% CI, 63.0%-65.2%), and moderate- to high-potency statin prescription by day 7 after discharge (3329/7054 [47.2%]; 95% CI, 46.0%-48.4%). Performance varied substantially across facilities (eg, neurology consultation had a facility outlier rate of 53.0%). Performance was higher for admitted patients than for patients cared for only in EDs with the greatest disparity for carotid artery imaging (4478/5927 [75.6%] vs 445/1758 [25.3%]; P < .001). This national study of VHA system quality of care for patients with TIA or minor stroke identified opportunities to improve care quality, particularly for patients who were discharged from the ED. Health care systems should engage in ongoing TIA care performance assessment to complement existing stroke performance measurement.

Emergency medicine in the Veterans Health Administration—results from a nationwide survey

Study objectiveWe describe emergency physician staffing, capabilities, and academic practices in US Veterans Health Administration (VHA) emergency departments (EDs). MethodsAs part of an ongoing process improvement effort for the VHA emergency care system, VHA-wide surveys are conducted among ED medical directors every 3 years. Web-based surveys of VHA ED directors were conducted in 2013 on clinical operations and academic program development. We describe the results from the 2013 survey. When available, we compare responses with the previously administered survey from 2010. ResultsA total of 118 of 118 ED directors filled out the survey in 2013 (100% response rate). Respondents reported that 45.5% of VHA emergency physicians are board certified in emergency medicine, and 95% spend most their time in direct patient care. Clinical care is also provided by part-time (<0.5 full-time employee equivalent) emergency physicians in 59.3% of EDs. More than half of EDs (57%) provide on-site tissue plasminogen activator for acute ischemic stroke patients, and only 39% can administer tissue plasminogen activator 24 hours per day, 7 days per week. Less than half (48.3%) of EDs have emergency Obstetrics and Gynecology consultation availability. Most VHA EDs (78.8%) have a university affiliation, but only 21.5% participated in the respective academic emergency medicine program. ConclusionsVeterans Health Administration emergency physicians have primarily clinical responsibilities, and less than half have formal emergency medicine board certification. Despite most VHA EDs having university affiliations, traditional academic activities (eg, teaching and research) are performed in only 1 in 3 VHA EDs. Less than half of VHA EDs have availability of consulting services, including advanced stroke care and women's health.

Exploring the Frequency of Blood Pressure Documentation in Emergency Departments

One of the most commonly performed task in the emergency department (ED) is reported as the monitoring of vital signs, yet there are no published standards of care that provide guidelines for the frequency of obtaining vital signs in the ED. The purpose of this exploratory study was to determine the frequency of documentation of vital signs recorded during ED visits across Veterans Health Administration (VHA) facilities. Deidentified patient level data from the VHA electronic health record (EHR) were abstracted for emergency department visits for 12 randomly selected days in calendar year 2011. The dataset included vital signs data, associated time stamps, facility, length of stay, triage category based on the Emergency Severity Index (ESI), and patient disposition for all patients. Descriptive statistics were used to describe the frequency of the specific vital sign measures, and parametric and nonparametric tests were used to examine study variables by ESI. The sample consisted of over 43,232 unique patient visits to 94 VHA EDs with a median length of stay of 173.3 min (interquartile range [IQR], 96.1-286.9). The mean number of times that blood pressure (BP) was recorded per visit was 1.23 (SD 1.175). For the entire sample, median time between blood pressure measurements was 139.7 min (IQR, 81.6-230.1). There was a significant difference in median length of stay and median time between blood pressure by ESI category. In this dataset, median time between documentation of BP in the ED was every 2.3 hr for all patients. While the median time was statistically significant between ESI categories, these times may not be clinically relevant. More important was the inconsistent documentation of vital signs of ED patients in the designated fields in the EHR. Most facilities (84.1%) documented BP for >75% of patient visits. However, eight facilities (9.1%) had BP documented in <50% of patient visits. It seems unlikely that vital signs are not monitored in the ED; nurses anecdotally report that vital signs are recorded on a paper chart and later scanned as an image into the EHR. However, lack of consistent process in documentation of vital signs may decrease the care team's ability to note early warning signs of physiological instability or deterioration.