Expanding Access to Comprehensive Geriatric Evaluation via Telehealth: Development of Hybrid-Virtual Home Visits.

BACKGROUND: In response to the aging population, the Department of Veterans Affairs (VA) seeks to expand access to evidence-based practices which support community-dwelling older persons such as the Geriatric Resources for Assessment and Care of Elders (GRACE) program. GRACE is a multidisciplinary care model which provides home-based geriatric evaluation and management for older Veterans residing within a 20-mile drive radius from the hospital. We sought to expand the geographic reach of VA-GRACE by developing a hybrid-virtual home visit (TeleGRACE). OBJECTIVES: The objectives were to: (1) describe challenges encountered and solutions implemented during the iterative, pre-implementation program development process; and (2) illustrate potential successes of the program with two case examples. DESIGN: Quality improvement project with longitudinal qualitative data collection. PROGRAM DESCRIPTION: The hybrid-virtual home visit involved a telehealth technician travelling to patients' homes and connecting virtually to VA-GRACE team members who participated remotely. APPROACH & PARTICIPANTS: We collected multiple data streams throughout program development: TeleGRACE staff periodic reflections, fieldnotes, and team meeting notes; and VA-GRACE team member interviews. KEY RESULTS: The five program domains that required attention and problem-solving were: telehealth connectivity and equipment, virtual physical examination, protocols and procedures, staff training, and team integration. For each domain, we describe several challenges and solutions. An example from the virtual physical examination domain: several iterations were required to identify the combination of telehealth stethoscope with dedicated headphones that allowed remote nurse practitioners to hear heart and lung sounds. The two cases illustrate how this hybrid-virtual home visit model provided care for patients who would not otherwise have received timely healthcare services. CONCLUSIONS: These results provide a blueprint to translate an in-person home-based geriatrics program into a hybrid-virtual model and support the feasibility of using hybrid-virtual home visits to expand access to comprehensive geriatric evaluation and ongoing care for high-risk, community-dwelling older persons who reside geographically distant from the primary VA facility.

Stroke Learning Health Systems: A Topical Narrative Review With Case Examples.

To our knowledge, the adoption of Learning Health System (LHS) concepts or approaches for improving stroke care, patient outcomes, and value have not previously been summarized. This topical review provides a summary of the published evidence about LHSs applied to stroke, and case examples applied to different aspects of stroke care from high and low-to-middle income countries. Our attempt to systematically identify the relevant literature and obtain real-world examples demonstrated the dissemination gaps, the lack of learning and action for many of the related LHS concepts across the continuum of care but also elucidated the opportunity for continued dialogue on how to study and scale LHS advances. In the field of stroke, we found only a few published examples of LHSs and health systems globally implementing some selected LHS concepts, but the term is not common. A major barrier to identifying relevant LHS examples in stroke may be the lack of an agreed taxonomy or terminology for classification. We acknowledge that health service delivery settings that leverage many of the LHS concepts do so operationally and the lessons learned are not shared in peer-reviewed literature. It is likely that this topical review will further stimulate the stroke community to disseminate related activities and use keywords such as learning health system so that the evidence base can be more readily identified.

Diagnosis, Workup, Risk Reduction of Transient Ischemic Attack in the Emergency Department Setting: A Scientific Statement From the American Heart Association.

At least 240 000 individuals experience a transient ischemic attack each year in the United States. Transient ischemic attack is a strong predictor of subsequent stroke. The 90-day stroke risk after transient ischemic attack can be as high as 17.8%, with almost half occurring within 2 days of the index event. Diagnosing transient ischemic attack can also be challenging given the transitory nature of symptoms, often reassuring neurological examination at the time of evaluation, and lack of confirmatory testing. Limited resources, such as imaging availability and access to specialists, can further exacerbate this challenge. This scientific statement focuses on the correct clinical diagnosis, risk assessment, and management decisions of patients with suspected transient ischemic attack. Identification of high-risk patients can be achieved through use of comprehensive protocols incorporating acute phase imaging of both the brain and cerebral vasculature, thoughtful use of risk stratification scales, and ancillary testing with the ultimate goal of determining who can be safely discharged home from the emergency department versus admitted to the hospital. We discuss various methods for rapid yet comprehensive evaluations, keeping resource-limited sites in mind. In addition, we discuss strategies for secondary prevention of future cerebrovascular events using maximal medical therapy and patient education.

A national population-based study of cannabis use and correlates among U.S. veterans prescribed opioids in primary care.

BACKGROUND: Cannabis is marketed as a treatment for pain. There is limited data on the prevalence of cannabis use and its correlates among Veterans prescribed opioids. OBJECTIVE: To examine the prevalence and correlates of cannabis use among Veterans prescribed opioids. DESIGN: Cross-sectional study. PARTICIPANTS: Veterans with a urine drug test (UDT) from Primary Care 2014-2018, in 50 states, Washington, D.C., and Puerto Rico. A total of 1,182,779 patients were identified with an opioid prescription within 90 days prior to UDT. MAIN MEASURES: Annual prevalence of cannabis positive UDT by state. We used multivariable logistic regression to assess associations of demographic factors, mental health conditions, substance use disorders, and pain diagnoses with cannabis positive UDT. RESULTS: Annual prevalence of cannabis positive UDT ranged from 8.5% to 9.7% during the study period, and in 2018 was 18.15% in Washington, D.C. and 10 states with legalized medical and recreational cannabis, 6.1% in Puerto Rico and 25 states with legalized medical cannabis, and 4.5% in non-legal states. Younger age, male sex, being unmarried, and marginal housing were associated with use (p < 0.001). Post-traumatic stress disorder (adjusted odds ratio [AOR] 1.17; 95% confidence interval [CI] 1.13-1.22, p < 0.001), opioid use disorder (AOR 1.14; CI 1.07-1.22, p < 0.001), alcohol use disorder or positive AUDIT-C (AOR 1.34; 95% CI 1.28-1.39, p < 0.001), smoking (AOR 2.58; 95% CI 2.49-2.66, p < 0.001), and other drug use disorders (AOR 1.15; 95% CI 1.03-1.29, p = 0.02) were associated with cannabis use. Positive UDT for amphetamines AOR 1.41; 95% CI 1.26-1.58, p < 0.001), benzodiazepines (AOR 1.41; 95% CI 1.31-1.51, p < 0.001) and cocaine (AOR 2.04; 95% CI 1.75-2.36, p < 0.001) were associated with cannabis positive UDT. CONCLUSIONS: Cannabis use among Veterans prescribed opioids varied by state and by legalization status. Veterans with PTSD and substance use disorders were more likely to have cannabis positive UDT. Opioid-prescribed Veterans using cannabis may benefit from screening for these conditions, referral to treatment, and attention to opioid safety.

A developmental formative evaluation of a pilot participatory music program for veterans with housing insecurity.

BACKGROUND: Interventions are needed to improve well-being and promote community reintegration among Veterans with housing insecurity. The objective was to conduct a developmental formative evaluation of a participatory music program. METHODS: This single-site, pilot study implemented a participatory music program at a U.S. Department of Veterans Affairs (VA) Homeless Domiciliary that included one-hour sessions (group music instruction and ensemble playing), 3 times per week for 3 months. Intervention development was guided by the Model of Human Occupation (MOHO). Evaluation was guided by the MOHO and the Consolidated Framework for Implementation Evaluation (CFIR). Qualitative data were collected via semi-structured interviews from participants and non-participants, and were analyzed using an interdisciplinary, constant comparison qualitative analysis technique. RESULTS: Sixteen program participants and 8 non-participants were enrolled, age range 26-59 (mean 41; standard deviation, 11) years; 75% were White. The sample for this study (N = 12) included five participants and seven non-participants. Semi-structured interview responses produced three salient themes illuminating Veterans' perspectives: (1) key characteristics of the intervention (the relative advantage of the participatory program over other problem-focused programs; the importance of a supportive, encouraging teaching; the group setting; the role of music); (2) the therapeutic power of the program (based on it being enjoyable; and serving as an escape from preoccupations); and (3) the context and culture (which included Veterans supporting each other and the Domiciliary setting). CONCLUSIONS: Veterans described the benefits of a participatory music intervention compared to problem-based groups, which included enjoyment, skill acquisition facilitating pride, escape, reconnecting with their identity prior to current problems, and experiencing positive aspects of Veteran culture such as mutual support and discipline. These data support ongoing research about participatory music programs to support Veterans with housing insecurity.

Rapid implementation of Veterans Health Administration telehealth creative arts therapies: survey evaluation of adoption and adaptation.

BACKGROUND: Creative arts therapies (CAT) are employed throughout the Veterans Health Administration (VHA) and are predominantly delivered in-person. Though telehealth delivery of CAT was used at several VHA facilities to increase services to rural Veterans, due to guidance from the Center for Disease Control and VHA that temporarily suspended or reduced in-person services, there was a large increase of CAT therapists enterprise-wide who adopted telehealth delivery. The aims of this study were to evaluate adoption and adaptation of CAT telehealth delivery and identify related barriers and facilitators. METHODS: We deployed a survey guided by the Consolidated Framework for Implementation Research and administered it via email to all VHA CAT therapists (N = 120). Descriptive statistics were used to summarize data and responses were compared based on therapists' age, years of experience and CAT discipline. Open survey field responses were summarized, qualitatively coded, and analyzed thematically. RESULTS: Most therapists (76%) reported adopting telehealth with 74% each delivering > 50 CAT sessions in the prior year. Therapists adapted interventions or created new ones to be delivered through telehealth. Barriers included: technical challenges, control of the virtual space, and building rapport. Facilitators included added equipment, software, and infrastructure. CAT therapists adapted their session preparation, session content, outcome expectations, and equipment. CAT therapists reported being able to reach more patients and improved access to care with telehealth compared to in person visits. Additional benefits were patient therapeutic effects from attending sessions from home, therapist convenience, and clinician growth. CONCLUSIONS: VHA CAT therapists used their inherent creativity to problem solve difficulties and make adaptations for CAT telehealth adoption. Future studies may explore CAT telehealth sustainment and its effectiveness on clinical processes and outcomes.

The impact of the COVID-19 pandemic on blood pressure control after a stroke or transient ischemic attack among patients at VA medical centers.

OBJECTIVE: To study factors associated with systolic blood pressure(SBP) control for patients post-discharge from an ischemic stroke or transient ischemic attack(TIA) during the early months of the COVID-19 pandemic compared to pre-pandemic periods within the Veterans Health Administration(VHA). MATERIALS AND METHODS: We analyzed retrospective data from patients discharged from Emergency Departments or inpatient admissions after an ischemic stroke or TIA. Cohorts consisted of 2,816 patients during March-September 2020 and 11,900 during the same months in 2017-2019. Outcomes included primary care or neurology clinic visits, recorded blood pressure readings and average blood pressure control in the 90-days post-discharge. Random effect logit models were used to compare clinical characteristics of the cohorts and relationships between patient characteristics and outcomes. RESULTS: The majority (73%) of patients with recorded readings during the COVID-19 period had a mean post-discharge SBP within goal (<140 mmHg); this was slightly lower than the pre-COVID-19 period (78%; p=0.001). Only 38% of the COVID-19 cohort had a recorded SBP in the 90-days post-discharge compared with 83% of patients during the pre-pandemic period (p=0.001). During the pandemic period, 29% did not have follow-up primary care or neurologist visits, and 33% had a phone or video visit without a recorded SBP reading. CONCLUSIONS: Patients with an acute cerebrovascular event during the initial COVID-19 period were less likely to have outpatient visits or blood pressure measurements than during the pre-pandemic period; patients with uncontrolled SBP should be targeted for follow-up hypertension management.

Development and validation of a model predicting mild stroke severity on admission using electronic health record data.

OBJECTIVE: Initial stroke severity is a potent modifier of stroke outcomes but this information is difficult to obtain from electronic health record (EHR) data. This limits the ability to risk-adjust for evaluations of stroke care and outcomes at a population level. The purpose of this analysis was to develop and validate a predictive model of initial stroke severity using EHR data elements. METHODS: This observational cohort included individuals admitted to a US Department of Veterans Affairs hospital with an ischemic stroke. We extracted 65 independent predictors from the EHR. The primary analysis modeled mild (NIHSS score 0-3) versus moderate/severe stroke (NIHSS score ≥4) using multiple logistic regression. Model validation included: (1) splitting the cohort into derivation (65%) and validation (35%) samples and (2) evaluating how the predicted stroke severity performed in regard to 30-day mortality risk stratification. RESULTS: The sample comprised 15,346 individuals with ischemic stroke (n = 10,000 derivation; n = 5,346 validation). The final model included 15 variables and correctly classified 70.4% derivation sample patients and 69.4% validation sample patients. The areas under the curve (AUC) were 0.76 (derivation) and 0.76 (validation). In the validation sample, the model performed similarly to the observed NIHSS in terms of the association with 30-day mortality (AUC: 0.72 observed NIHSS, 0.70 predicted NIHSS). CONCLUSIONS: EHR data can be used to construct a surrogate measure of initial stroke severity. Further research is needed to better differentiate moderate and severe strokes, enhance stroke severity classification, and how to incorporate these measures in evaluations of stroke care and outcomes.

Measuring Stroke Quality: Methodological Considerations in Selecting, Defining, and Analyzing Quality Measures.

Knowledge about stroke and its management is growing rapidly and stroke systems of care must adapt to deliver evidence-based care. Quality improvement initiatives are essential for translating knowledge from clinical trials and recommendations in guidelines into routine clinical practice. This review focuses on issues central to the measurement of the quality of stroke care, including selection and definition of quality measures, identification of the eligible patient cohorts, optimization of data quality, and considerations for data analysis and interpretation.

Comparative Effectiveness of Carotid Stenting to Medical Therapy Among Patients With Asymptomatic Carotid Stenosis.

BACKGROUND: No completed trials have compared carotid artery stenting (CAS) to medical therapy (MT). We examined the effectiveness of CAS compared with MT in patients with asymptomatic carotid stenosis. METHODS: We conducted a retrospective cohort study of 219 979 Veterans ≥65 years who received carotid imaging for asymptomatic carotid stenosis between 2005 and 2009 in the US Veterans Health Administration. We constructed a sample of patients who received MT (n=2509) and comparable patients who received CAS (n=551) and followed them for 5 years. Using target trial methodology, we computed weighted Kaplan-Meier curves and estimated the risk of fatal and nonfatal stroke in each group over 5 years of follow-up. We also estimated the cumulative incidence functions for fatal and nonfatal stroke accounting for nonstroke deaths as competing risks. RESULTS: Five hundred fifty-one patients received CAS, and 2509 patients received MT. The observed rate of stroke or death (perioperative complications) within 30 days in the CAS arm was 2.2%. Using the target trial methodology, the 5-year risk of fatal and nonfatal stroke was similar among patients assigned to CAS (6.9%) compared with patients assigned to MT (7.1%; risk difference, -0.1% [95% CI, -2.6% to 2.7%]). In an analysis that incorporated the competing risk of death, the risk difference between the two arms remained nonsignificant (risk difference, -1.5% [95% CI, -3.0% to 0.3%]). CONCLUSIONS: In this sample of older male adults, we found no difference between MT and CAS in the treatment of asymptomatic carotid stenosis. Future studies in other settings are needed to confirm these findings.

The Heart and Cannabis (THC) Cohort: Differences in Baseline Health and Behaviors by Cannabis Use.

BACKGROUND: Evidence on the cardiovascular health effects of cannabis use is limited. We designed a prospective cohort study of older Veterans (66 to 68 years) with coronary artery disease (CAD) to understand the cardiovascular consequences of cannabis use. We describe the cohort construction, baseline characteristics, and health behaviors that were associated with smoking cannabis. OBJECTIVE: To understand the cardiovascular consequences of cannabis use. DESIGN: We designed a prospective cohort study of older Veterans (66 to 68 years) with CAD. PARTICIPANTS: A total of 1,015 current cannabis smokers and 3,270 non-cannabis smokers with CAD. MAIN MEASURES: Using logistic regression, we examined the association of baseline variables with smoking cannabis in the past 30 days. RESULTS: The current cannabis smokers and non-current smokers were predominantly male (97.2% vs 97.1%, p=0.96). Characteristics associated with recent cannabis use in multivariable analyses included lack of a high school education (odds ratio [OR] 2.15, 95% confidence interval [CI]: 1.10 to 4.19), financial difficulty (OR 1.47, 95% CI: 1.02 to 2.11), tobacco use (OR 3.02, 95% CI: 1.66 to 5.48), current drug use (OR 2.82, 95% CI: 1.06 to 7.46), and prior drug use (OR 2.84, 95% CI: 2.11 to 3.82). In contrast, compared to individuals with 0 to 1 comorbid conditions, those with 5 chronic conditions or more (OR 0.43, 95% CI: 0.27 to 0.70) were less likely to smoke cannabis. CONCLUSIONS: In this older high-risk cohort, smoking cannabis was associated with higher social and behavioral risk, but with fewer chronic health conditions.

Identifying transient ischemic attack (TIA) patients at high-risk of adverse outcomes: development and validation of an approach using electronic health record data.

BACKGROUND: Risk-stratification tools that have been developed to identify transient ischemic attack (TIA) patients at risk of recurrent vascular events typically include factors which are not readily available in electronic health record systems. Our objective was to evaluate two TIA risk stratification approaches using electronic health record data. METHODS: Patients with TIA who were cared for in Department of Veterans Affairs hospitals (October 2015-September 2018) were included. The six outcomes were mortality, recurrent ischemic stroke, and the combined endpoint of stroke or death at 90-days and 1-year post-index TIA event. The cohort was split into development and validation samples. We examined the risk stratification of two scores constructed using electronic health record data. The Clinical Assessment Needs (CAN) score is a validated measure of risk of hospitalization or death. The PREVENT score was developed specifically for TIA risk stratification. RESULTS: A total of N = 5250 TIA patients were included in the derivation sample and N = 4248 in the validation sample. The PREVENT score had higher c-statistics than the CAN score across all outcomes in both samples. Within the validation sample the c-statistics for the PREVENT score were: 0.847 for 90-day mortality, 0.814 for 1-year mortality, 0.665 for 90-day stroke, and 0.653 for 1-year stroke, 0.699 for 90-day stroke or death, and 0.744 for 1-year stroke or death. The PREVENT score classified patients into categories with extreme nadir and zenith outcome rates. The observed 1-year mortality rate among validation patients was 7.1%; the PREVENT score lowest decile of patients had 0% mortality and the highest decile group had 30.4% mortality. CONCLUSIONS: The PREVENT score had strong c-statistics for the mortality outcomes and classified patients into distinct risk categories. Learning healthcare systems could implement TIA risk stratification tools within electronic health records to support ongoing quality improvement. REGISTRATION: ClinicalTrials.gov Identifier: NCT02769338 .

The Perils of a "My Work Here is Done" perspective: a mixed methods evaluation of sustainment of an evidence-based intervention for transient ischemic attack.

BACKGROUND: To evaluate quality improvement sustainment for Transient Ischemic Attack (TIA) and identify factors influencing sustainment, which is a challenge for Learning Healthcare Systems. METHODS: Mixed methods were used to assess changes in care quality across periods (baseline, implementation, sustainment) and identify factors promoting or hindering sustainment of care quality. PREVENT was a stepped-wedge trial at six US Department of Veterans Affairs implementation sites and 36 control sites (August 2015-September 2019). Quality of care was measured by the without-fail rate: proportion of TIA patients who received all of the care for which they were eligible among brain imaging, carotid artery imaging, neurology consultation, hypertension control, anticoagulation for atrial fibrillation, antithrombotics, and high/moderate potency statins. Key informant interviews were used to identify factors associated with sustainment. RESULTS: The without-fail rate at PREVENT sites improved from 36.7% (baseline, 58/158) to 54.0% (implementation, 95/176) and settled at 48.3% (sustainment, 56/116). At control sites, the without-fail rate improved from 38.6% (baseline, 345/893) to 41.8% (implementation, 363/869) and remained at 43.0% (sustainment, 293/681). After adjustment, no statistically significant difference in sustainment quality between intervention and control sites was identified. Among PREVENT facilities, the without-fail rate improved ≥2% at 3 sites, declined ≥2% at two sites, and remained unchanged at one site during sustainment. Factors promoting sustainment were planning, motivation to sustain, integration of processes into routine practice, leadership engagement, and establishing systems for reflecting and evaluating on performance data. The only factor that was sufficient for improving quality of care during sustainment was the presence of a champion with plans for sustainment. Challenges during sustainment included competing demands, low volume, and potential problems with medical coding impairing use of performance data. Four factors were sufficient for declining quality of care during sustainment: low motivation, champion inactivity, no reflecting and evaluating on performance data, and absence of leadership engagement. CONCLUSIONS: Although the intervention improved care quality during implementation; performance during sustainment was heterogeneous across intervention sites and not different from control sites. Learning Healthcare Systems seeking to sustain evidence-based practices should embed processes within routine care and establish systems for reviewing and reflecting upon performance. TRIAL REGISTRATION: Clinicaltrials.gov ( NCT02769338 ).

Incidence of Severe COVID-19 Illness Following Vaccination and Booster With BNT162b2, mRNA-1273, and Ad26.COV2.S Vaccines.

Importance: Evidence describing the incidence of severe COVID-19 illness following vaccination and booster with BNT162b2, mRNA-1273, and Ad26.COV2.S vaccines is needed, particularly for high-risk populations. Objective: To describe the incidence of severe COVID-19 illness among a cohort that received vaccination plus a booster vaccine dose. Design, Setting, and Participants: Retrospective cohort study of adults receiving care at Veterans Health Administration facilities across the US who received a vaccination series plus 1 booster against SARS-CoV-2, conducted from July 1, 2021, to May 30, 2022. Patients were eligible if they had received a primary care visit in the prior 2 years and had documented receipt of all US Food and Drug Administration-authorized doses of the initial mRNA vaccine or viral vector vaccination series after December 11, 2020, and a subsequent documented booster dose between July 1, 2021, and April 29, 2022. The analytic cohort consisted of 1 610 719 participants. Exposures: Receipt of any combination of mRNA-1273 (Moderna), BNT162b2 (Pfizer-BioNTech), and Ad26.COV2.S (Janssen/Johnson & Johnson) primary vaccination series and a booster dose. Main Outcomes and Measures: Outcomes were breakthrough COVID-19 (symptomatic infection), hospitalization with COVID-19 pneumonia and/or death, and hospitalization with severe COVID-19 pneumonia and/or death. A subgroup analysis of nonoverlapping populations included those aged 65 years or older, those with high-risk comorbid conditions, and those with immunocompromising conditions. Results: Of 1 610 719 participants, 1 100 280 (68.4%) were aged 65 years or older and 132 243 (8.2%) were female; 1 133 785 (70.4%) had high-risk comorbid conditions, 155 995 (9.6%) had immunocompromising conditions, and 1 467 879 (91.1%) received the same type of mRNA vaccine (initial series and booster). Over 24 weeks, 125.0 (95% CI, 123.3-126.8) per 10 000 persons had breakthrough COVID-19, 8.9 (95% CI, 8.5-9.4) per 10 000 persons were hospitalized with COVID-19 pneumonia or died, and 3.4 (95% CI, 3.1-3.7) per 10 000 persons were hospitalized with severe pneumonia or died. For high-risk populations, incidence of hospitalization with COVID-19 pneumonia or death was as follows: aged 65 years or older, 1.9 (95% CI, 1.4-2.6) per 10 000 persons; high-risk comorbid conditions, 6.7 (95% CI, 6.2-7.2) per 10 000 persons; and immunocompromising conditions, 39.6 (95% CI, 36.6-42.9) per 10 000 persons. Subgroup analyses of patients hospitalized with COVID-19 pneumonia or death by time after booster demonstrated similar incidence estimates among those aged 65 years or older and with high-risk comorbid conditions but not among those with immunocompromising conditions. Conclusions and Relevance: In a US cohort of patients receiving care at Veterans Health Administration facilities during a period of Delta and Omicron variant predominance, there was a low incidence of hospitalization with COVID-19 pneumonia or death following vaccination and booster with any of BNT162b2, mRNA-1273, or Ad26.COV2.S vaccines.

Quality of Care and Outcomes for Patients with Acute Ischemic Stroke and Transient Ischemic Attack During the COVID-19 Pandemic.

BACKGROUND AND PURPOSE: Hospitalizations for acute ischemic stroke (AIS) and transient ischemic attack (TIA) decreased during the COVID-19 pandemic. We compared the quality of care and outcomes for patients with AIS/TIA before vs. during the COVID-19 pandemic across the United States Department of Veterans Affairs healthcare system. METHODS: This retrospective cohort study compared AIS/TIA care quality before (March-September 2019) vs. during (March-September 2020) the pandemic. Electronic health record data were used to identify patient characteristics, quality of care and outcomes. The without-fail rate was a composite measure summarizing whether an individual patient received all of the seven processes for which they were eligible. Mixed effects logistic regression modeling was used to assess differences between the two periods. RESULTS: A decrease in presentations occurred during the pandemic (N = 4360 vs. N = 5636 patients; p = 0.003) and was greater for patients with TIA (-30.4%) than for AIS (-18.7%). The without-fail rate improved during the pandemic (56.2 vs. before 50.1%). The use of high/moderate potency statins increased among AIS patients (OR 1.26 [1.06-1.48]) and remained unchanged among those with TIA (OR 1.04 [0.83,1.29]). Blood pressure measurement within 90-days of discharge was less frequent during the pandemic (57.8 vs. 89.2%, p < 0.001). Hypertension control decreased among patients with AIS (OR 0.73 [0.60-0.90]) and TIA (OR 0.72 [0.54-0.96]). The average systolic and diastolic blood pressure was 1.9/1.4 mmHg higher during the pandemic than before (p < 0.001). Compared to before, during the pandemic fewer AIS patients had a primary care visit (52.5% vs. 79.8%; p = 0.0001) or a neurology visit (27.9 vs. 41.1%; p = 0.085). Both 30- and 90-day unadjusted all-cause mortality rates were higher in 2020 (3.6% and 6.7%) vs. 2019 (2.9, 5.4%; p = 0.041 and p = 0.006); but these differences were not statistically significant after risk adjustment. CONCLUSIONS: Overall quality of care for patients with AIS/TIA did not decline during the COVID-19 pandemic.

Primary Care of Adult Patients After Stroke: A Scientific Statement From the American Heart Association/American Stroke Association.

Primary care teams provide the majority of poststroke care. When optimally configured, these teams provide patient-centered care to prevent recurrent stroke, maximize function, prevent late complications, and optimize quality of life. Patient-centered primary care after stroke begins with establishing the foundation for poststroke management while engaging caregivers and family members in support of the patient. Screening for complications (eg, depression, cognitive impairment, and fall risk) and unmet needs is both a short-term and long-term component of poststroke care. Patients with ongoing functional impairments may benefit from referral to appropriate services. Ongoing care consists of managing risk factors such as high blood pressure, atrial fibrillation, diabetes, carotid stenosis, and dyslipidemia. Recommendations to reduce risk of recurrent stroke also include lifestyle modifications such as healthy diet and exercise. At the system level, primary care practices can use quality improvement strategies and available resources to enhance the delivery of evidence-based care and optimize outcomes.

Hospital Factors, Performance on Process Measures After Transient Ischemic Attack, and 90-Day Ischemic Stroke Incidence.

Background and Purpose: We determined the association between hospital factors, performance on transient ischemic attack (TIA) process measures, and 90-day ischemic stroke incidence. Methods: Longitudinal analysis of retrospectively obtained data on 9168 veterans ≥18 years with TIA presenting to the emergency department or inpatient unit at 69 Veterans Affairs hospitals with ≥10 eligible patients per year in fiscal years 2015 to 2018. Process measures were high/moderate potency statin within 7 days of discharge, antithrombotic by day 2, and hypertension control (<140/90 mm Hg) at 90 days. The outcome was 90-day stroke incidence. Results: During the 4-year study period, hospitals significantly increased statin use (adjusted odds ratio [aOR] per 1-year increase, 1.24 [95% CI, 1.17­1.32]; P<0.001), whereas neither hypertension control (P=0.44) nor antithrombotic use (P=0.82) improved over time. Hospitals that admitted a higher proportion of TIA patients versus emergency department discharge had significantly greater use of statins (aOR per 10-percentage point increase in the proportion of TIA patients admitted, 1.09 [1.03­1.16]; P=0.003) and antithrombotics (aOR per 10-percentage point increase in TIA patients admitted, 1.14 [1.06­1.23]; P<0.001). Hospitals with higher emergency physician staffing and lower TIA patient volume had greater use of antithrombotics (aOR per 1 full-time physician increase, 1.05 [1.01­1.08]; P=0.008 and aOR per 10-patient decrease in volume, 1.09 [1.01­1.16]; P=0.02). Higher emergency physician staffing was associated with lower 90-day stroke incidence (aOR per 1 full-time physician increase, 0.96 [0.92­0.99]; P=0.02) but other hospital factors were not. Conclusions: Hospitals admitting higher percentages of TIA patients and having higher emergency physician staffing have greater performance on select guideline-concordant process measures for TIA. Higher emergency physician staffing was associated with improved outcomes 90 days after TIA.

Deintensification or No Statin Treatment Is Associated With Higher Mortality in Patients With Ischemic Stroke or Transient Ischemic Attack.

Background and Purpose: Practice guidelines recommend that most patients receive moderate- or high-potency statins after ischemic stroke or transient ischemic attack (TIA) of atherosclerotic origin. We tested the association of different patterns of potency for prescribed statin therapy­assessed before admission and at hospital discharge for ischemic stroke or TIA­on mortality in a large, nationwide sample of US Veterans. Methods: The study population included patients with an ischemic stroke or TIA occurring during 2011 at any of the 134 Veterans Health Administration facilities. We used electronic outpatient pharmacy files to identify statin dose at hospital admission and within 7 days after hospital discharge. We categorized statin dosing as low, moderate, or high potency; moderate or high potency was considered at goal. We created 6 mutually exclusive groups to reflect patterns of statin potency from hospital admission to discharge: goal to goal, low to goal, goal to low or goal to none (deintensification), none to none, none to low, and low to low. We used logistic regression to compare 30-day and 1-year mortality across statin potency groups. Results: The population included 9380 predominately White (71.1%) men (96.3%) who were hospitalized for stroke or TIA. In this sample, 34.1% of patients (n=3194) were discharged off a statin medication. Deintensification occurred in 14.0% of patients (n=1312) and none to none in 20.5% (n=1924). Deintensification and none to none were associated with a higher odds of mortality as compared with goal to goal (adjusted odds ratio 1-year mortality: deintensification versus goal to goal, 1.26 [95% CI, 1.02­1.57]; none to none versus goal to goal, 1.59 [95% CI, 1.30­1.93]). Adjustments for differences in baseline characteristics using propensity weighted scores demonstrated similar results. Conclusions: Underutilization of statins, including no treatment or underdosing after stroke (deintensification), was observed in approximately one-third of veterans with ischemic stroke or TIA and was associated with higher mortality when compared with patients who were at goal for statin prescription dosing.

Seeding Structures for a Community of Practice Focused on Transient Ischemic Attack (TIA): Implementing Across Disciplines and Waves.

BACKGROUND: The Community of Practice (CoP) model represents one approach to address knowledge management to support effective implementation of best practices. OBJECTIVE: We sought to identify CoP developmental strategies within the context of a national quality improvement project focused on improving the quality for patients receiving acute transient ischemic attack (TIA) care. DESIGN: Stepped wedge trial. PARTICIPANTS: Multidisciplinary staff at six Veterans Affairs medical facilities. INTERVENTIONS: To encourage site implementation of a multi-component quality improvement intervention, the trial included strategies to improve the development of a CoP: site kickoff meetings, CoP conference calls, and an interactive website (the "Hub"). APPROACH: Mixed-methods evaluation included data collected through a CoP attendance log; semi-structured interviews with site participants at 6 months (n = 32) and 12 months (n = 30), and CoP call facilitators (n = 2); and 22 CoP call debriefings. KEY RESULTS: The critical seeding structures that supported the cultivation of the CoP were the kickoffs which fostered relationships (key to the community element of CoPs) and provided the evidence base relevant to TIA care (key to the domain element of CoPs). The Hub provided the forum for sharing quality improvement plans and other tools which were further highlighted during the CoP calls (key to the practice element of CoPs). CoP calls were curated to create a positive context around participants' work by recognizing team successes. In addition to improving care at their local facilities, the community created a shared set of tools which built on their collective knowledge and could be shared within and outside the group. CONCLUSIONS: The PREVENT CoP advanced the mission of the learning healthcare system by successfully providing a forum for shared learning. The CoP was grown through seeding structures that included kickoffs, CoP calls, and the Hub. A CoP expands upon the learning collaborative implementation strategy as an effective implementation practice.

Acceptability of a complex team-based quality improvement intervention for transient ischemic attack: a mixed-methods study.

BACKGROUND: The Protocol-guided Rapid Evaluation of Veterans Experiencing New Transient Neurologic Symptoms (PREVENT) program was a complex quality improvement (QI) intervention targeting transient ischemic attack (TIA) evidence-based care. The aim of this study was to evaluate program acceptability among the QI teams and factors associated with degrees of acceptability. METHODS: QI teams from six Veterans Administration facilities participated in active implementation for a one-year period. We employed a mixed methods study to evaluate program acceptability. Multiple data sources were collected over implementation phases and triangulated for this evaluation. First, we conducted 30 onsite, semi-structured interviews during active implementation with 35 participants at 6 months; 27 interviews with 28 participants at 12 months; and 19 participants during program sustainment. Second, we conducted debriefing meetings after onsite visits and monthly virtual collaborative calls. All interviews and debriefings were audiotaped, transcribed, and de-identified. De-identified files were qualitatively coded and analyzed for common themes and acceptability patterns. We conducted mixed-methods matrix analyses comparing acceptability by satisfaction ratings and by the Theoretical Framework of Acceptability (TFA). RESULTS: Overall, the QI teams reported the PREVENT program was acceptable. The clinical champions reported high acceptability of the PREVENT program. At pre-implementation phase, reviewing quality data, team brainstorming solutions and development of action plans were rated as most useful during the team kickoff meetings. Program acceptability perceptions varied over time across active implementation and after teams accomplished actions plans and moved into sustainment. We observed team acceptability growth over a year of active implementation in concert with the QI team's self-efficacy to improve quality of care. Guided by the TFA, the QI teams' acceptability was represented by the respective seven components of the multifaceted acceptability construct. CONCLUSIONS: Program acceptability varied by time, by champion role on QI team, by team self-efficacy, and by perceived effectiveness to improve quality of care aligned with the TFA. A complex quality improvement program that fostered flexibility in local adaptation and supported users with access to data, resources, and implementation strategies was deemed acceptable and appropriate by front-line clinicians implementing practice changes in a large, national healthcare organization. TRIAL REGISTRATION: clinicaltrials.gov : NCT02769338 .