Uncertainty as a Key Influence in the Decision To Admit Patients with Transient Ischemic Attack

Background Patients with transient ischemic attacks (TIA) are at high risk of subsequent vascular events. Hospitalization improves quality of care, yet admission rates for TIA patients vary considerably. Objectives We sought to identify factors associated with the decision to admit patents with TIA. Design We conducted a secondary analysis of a prior study’s data including semi-structured interviews, administrative data, and chart review. Participants We interviewed multidisciplinary clinical staff involved with TIA care. Administrative data included information for TIA patients in emergency departments or inpatient settings at VA medical centers (VAMCs) for fiscal years (FY) 2011 and 2014. Chart reviews were conducted on a subset of patients from 12 VAMCs in FY 2011. Approach For the qualitative data, we focused on interviewees’ responses to the prompt: “Tell me what influences you in the decision to or not to admit TIA patients.” We used administrative data to identify admission rates and chart review data to identify ABCD2 scores (a tool to classify stroke risk after TIA). Key Results Providers’ decisions to admit TIA patients were related to uncertainty in several domains: lack of a facility TIA-specific policy, inconsistent use of ABCD2 score, and concerns about facilities’ ability to complete a timely workup. There was a disconnect between staff perceptions about TIA admission and facility admission rates. According to chart review data, staff at facilities with higher admission rates in FY 2011 reported consistent reliance on ABCD2 scores and related guidelines in admission decision-making. Conclusions Many factors contributed to decisions regarding admitting a patient with TIA; however, clinicians’ uncertainty appeared to be a key driver. Further quality improvement interventions for TIA care should focus on facility adoption of TIA protocols to address uncertainty in TIA admission decision-making and to standardize timely evaluation of TIA patients and delivery of secondary prevention strategies

Implementing GRACE Team Care in a Veterans Affairs Medical Center: Lessons Learned and Impacts Observed

In a randomized clinical trial, Geriatric Resources for Assessment and Care of Elders (GRACE), a model of care that works in collaboration with primary care providers (PCPs) and patient-centered medical homes to provide home-based geriatric care management focusing on geriatric syndromes and psychosocial problems commonly found in older adults, improved care quality and reduced acute care use for high-risk, low-income older adults. To assess the effect of GRACE at a Veterans Affairs (VA) Medical Center (VAMC), veterans aged 65 and older from Marion County, Indiana, with PCPs from four of five VAMC clinics who were not on hospice or dialysis were enrolled in GRACE after discharge home from an acute hospitalization. After an initial home-based transition visit to GRACE enrollees, the GRACE team returned to conduct a geriatric assessment. Guided by 12 protocols and input from an interdisciplinary panel and the PCP, the GRACE team developed and implemented a veteran-centric care plan. Hospitalized veterans from the fifth clinic, who otherwise met enrollment criteria, served as a usual-care comparison group. Demographic, comorbidity, and usage data were drawn from VA databases. The GRACE and comparison groups were similar in age, sex, and burden of comorbidity, although predicted risk of 1-year mortality in GRACE veterans was higher. Even so, GRACE enrollment was associated with 7.1% fewer emergency department visits, 14.8% fewer 30-day readmissions, 37.9% fewer hospital admissions, and 28.5% fewer total bed days of care, saving the VAMC an estimated $200,000 per year after program costs during the study for the 179 veterans enrolled in GRACE. Having engaged, enthusiastic VA leadership and GRACE staff; aligning closely with the medical home; and accommodating patient acuity were among the important lessons learned during implementation

Impact of Hospital Admission for Patients with Transient Ischemic Attack

OBJECTIVES: To determine the impact of admission among transient ischemic attack (TIA) patients in the emergency department (ED). STUDY DESIGN: Retrospective cohort study using national Veterans Health Administration data (2008). METHODS: We first analyzed whether admitted patients were discharged from the hospital with a diagnosis of TIA. We then analyzed whether admission was associated with a composite outcome (new stroke, new myocardial infarction, or death in the year after TIA) using multivariate logistic regression modeling with propensity score matching. RESULTS: Among 3623 patients assigned a diagnosis of TIA in the ED, 2118 (58%) were admitted to the hospital or placed in observation compared with 1505 (42%) who were discharged from the ED. Among the 2118 patients who were admitted, 903 (43% of admitted group) were discharged from the hospital with a diagnosis of TIA, and 548 (26% of admitted group) were discharged with a diagnosis of stroke. Admitted patients were more likely than nonadmitted patients to receive processes of care (i.e., brain imaging, carotid imaging, echocardiography). In matched analyses using propensity scores, the 1-year composite outcome in the admitted group (15.3%) was not lower than the discharged group (13.3%, OR 1.17 [.94-1.46], P = .17). CONCLUSIONS: Less than half of patients admitted with a diagnosis of TIA retained that diagnosis at hospital discharge. Although admitted patients were more likely to receive diagnostic procedures, we did not identify improvements in outcomes among admitted patients; however, evaluating care for patients with TIA is limited by the reliability of secondary data analysis

Modelling care quality for patients after a transient ischaemic attack within the US Veterans Health Administration

Objective Timely preventive care can substantially reduce risk of recurrent vascular events or death after a transient ischaemic attack (TIA). Our objective was to understand patient and facility factors influencing preventive care quality for patients with TIA in the US Veterans Health Administration (VHA). Methods We analysed administrative data from a retrospective cohort of 3052 patients with TIA cared for in the emergency department (ED) or inpatient setting in 110 VHA facilities from October 2010 to September 2011. A composite quality indicator (QI score) pass rate was constructed from four process-related quality measures—carotid imaging, brain imaging, high or moderate potency statin and antithrombotic medication, associated with the ED visit or inpatient admission after the TIA. We tested a multilevel structural equation model where facility and patient characteristics, inpatient admission, and neurological consultation were predictors of the resident’s composite QI score. Results Presenting with a speech deficit and higher Charlson Comorbidity Index (CCI) were positively related to inpatient admission. Being admitted increased the likelihood of neurology consultation, whereas history of dementia, weekend arrival and a higher CCI score made neurological consultation less likely. Speech deficit, higher CCI, inpatient admission and neurological consultation had direct positive effects on the composite quality score. Patients in facilities with fewer full-time equivalent neurology staff were less likely to be admitted or to have a neurology consultation. Facilities having greater organisational complexity and with a VHA stroke centre designation were more likely to provide a neurology consultation. Conclusions Better TIA preventive care could be achieved through increased inpatient admissions, or through enhanced neurology and other care resources in the ED and during follow-up care

A Brief Peer Support Intervention for Veterans with Chronic Musculoskeletal Pain: A Pilot Study of Feasibility and Effectiveness

Objective The aim of this study was to pilot test a peer support intervention, involving peer delivery of pain self-management strategies, for veterans with chronic musculoskeletal pain. Design Pretest/posttest with 4-month intervention period. Methods Ten peer coaches were each assigned 2 patients (N = 20 patients). All had chronic musculoskeletal pain. Guided by a study manual, peer coach–patient pairs were instructed to talk biweekly for 4 months. Pain was the primary outcome and was assessed with the PEG, a three-item version of the Brief Pain Inventory, and the PROMIS Pain Interference Questionnaire. Several secondary outcomes were also assessed. To assess change in outcomes, a linear mixed model with a random effect for peer coaches was applied. Results Nine peer coaches and 17 patients completed the study. All were male veterans. Patients' pain improved at 4 months compared with baseline but did not reach statistical significance (PEG: P = 0.33, ICC [intra-class correlation] = 0.28, Cohen's d = −0.25; PROMIS: P = 0.17, d = −0.35). Of secondary outcomes, self-efficacy (P = 0.16, ICC = 0.56, d = 0.60) and pain centrality (P = 0.06, ICC = 0.32, d = −0.62) showed greatest improvement, with moderate effect sizes. Conclusions This study suggests that peers can effectively deliver pain self-management strategies to other veterans with pain. Although this was a pilot study with a relatively short intervention period, patients improved on several outcomes

A Qualitative Examination of Pain Centrality Among Veterans of Iraq and Afghanistan Conflicts

Objective. Centrality of pain refers to the degree to which a patient views chronic pain as integral to his or her life or identity. The purpose of this study was to gain a richer understanding of pain centrality from the perspective of patients who live with chronic pain. Methods. Face-to-face interviews were conducted with 26 Veterans with chronic and disabling musculoskeletal pain after completing a stepped care intervention within a randomized controlled trial. Qualitative data were analyzed using an immersion/crystallization approach. We evaluated the role centrality plays in Veterans’ lives and examined whether and how their narratives differ when centrality either significantly decreases or increases after participation in a stepped care intervention for chronic pain. Results. Our data identified three emergent themes that characterized pain centrality: 1) control, 2) acceptance, and 3) preoccupation. We identified five characteristics that distinguished patients’ changes in centrality from baseline: 1) biopsychosocial viewpoint, 2) activity level, 3) pain communication, 4) participation in managing own pain, and 5) social support. Conclusions. This study highlights centrality of pain as an important construct to consider within the overall patient experience of chronic pain

Association between admission haematocrit and mortality among men with acute ischaemic stroke

Objective: Anaemia is associated with higher mortality among patients with non-stroke cardiovascular conditions; less is known regarding the relationship between anaemia and mortality among patients with acute ischaemic stroke. Methods: Medical records were abstracted for n=3965 veterans from 131 Veterans Health Administration facilities who were admitted with ischaemic stroke in fiscal year 2007. Haematocrit values within 24 hours of admission were classified as ≤27%, 28%-32%, 33%-37%, 38%-42%, 43%-47% or ≥48%. Multivariate logistic regression was used to examine the relationship between anaemia and in-hospital, 30-day, 6-month and 1-year mortality, adjusting for age, medical comorbidities, modified Acute Physiology and Chronic Health Evaluation-III and stroke severity. Impact factors were calculated to standardise comparisons between haematocrit tier and other covariates. Results: Among n=3750 patients included in the analysis, the haematocrit values were ≤27% in 2.1% (n=78), 28%-32% in 6.2% (n=234), 33%-37% in 17.9% (n=670), 38%-42% in 36.4% (n=1366), 43%-47% in 28.2% (n=1059) and ≥48% in 9.1% (n=343). Patients with haematocrit ≤27%, compared with patients in the 38%-42% range, were more likely to have died across all follow-up intervals, with statistically significant adjusted ORs (aORs) ranging from 2.5 to 3.5. Patients with polycythaemia (ie, haematocrit ≥48%) were at increased risk of in-hospital mortality (aOR=2.9; 95% CI 1.4 to 6.0), compared with patients with mid-range admission haematocrits. Pronounced differences between patients receiving and not receiving blood transfusion limited our ability to perform a propensity analysis. Impact factors in the 1-year mortality model were 0.46 (severe anaemia), 0.06 (cancer) and 0.018 (heart disease). Conclusions: Anaemia is independently associated with an increased risk of death throughout the first year post stroke; high haematocrit is associated with early poststroke mortality. Severe anaemia is associated with 1-year mortality to a greater degree than cancer or heart disease. These data cannot address the question of whether interventions targeting anaemia might improve patient outcomes

OSU 1986 Vegetable Cultivar Evaluations: Green Wrap Tomatoes, Fresh Market Staked Tomatoes, Super Sweet Corn, Normal Sweet Corn

Greenwrap and stake tomato cultivar evaluation - Fremont and Columbus / Robert J. Precheur, Gerry Myers and Charles Willer -- 1986 sweet corn cultivar evaluation / Gerald Myers, Ken DeWeese, Laura Brinkman, Gail Edgington and Jeff Hartlin

Processes of Care Associated With Risk of Mortality and Recurrent Stroke Among Patients With Transient Ischemic Attack and Nonsevere Ischemic Stroke

Importance: Early evaluation and management of patients with transient ischemic attack (TIA) and nonsevere ischemic stroke improves outcomes. Objective: To identify processes of care associated with reduced risk of death or recurrent stroke among patients with TIA or nonsevere ischemic stroke. Design, Setting, and Participants: This cohort study included all patients with TIA or nonsevere ischemic stroke at Department of Veterans Affairs emergency department or inpatient settings from October 2010 to September 2011. Multivariable logistic regression was used to model associations of processes of care and without-fail care, defined as receiving all guideline-concordant processes of care for which patients are eligible, with risk of death and recurrent stroke. Data were analyzed from March 2018 to April 2019. Main Outcomes and Measures: Risk of all-cause mortality and recurrent ischemic stroke at 90 days and 1 year was calculated. Overall, 28 processes of care were examined. Without-fail care was assessed for 6 processes: brain imaging, carotid artery imaging, hypertension medication intensification, high- or moderate-potency statin therapy, antithrombotics, and anticoagulation for atrial fibrillation. Results: Among 8076 patients, the mean (SD) age was 67.8 (11.6) years, 7752 patients (96.0%) were men, 5929 (73.4%) were white, 474 (6.1%) had a recurrent ischemic stroke within 90 days, 793 (10.7%) had a recurrent ischemic stroke within 1 year, 320 (4.0%) died within 90 days, and 814 (10.1%) died within 1 year. Overall, 9 processes were independently associated with lower odds of both 90-day and 1-year mortality after adjustment for multiple comparisons: carotid artery imaging (90-day adjusted odds ratio [aOR], 0.49; 95% CI, 0.38-0.63; 1-year aOR, 0.61; 95% CI, 0.52-0.72), antihypertensive medication class (90-day aOR, 0.58; 95% CI, 0.45-0.74; 1-year aOR, 0.70; 95% CI, 0.60-0.83), lipid measurement (90-day aOR, 0.68; 95% CI, 0.51-0.90; 1-year aOR, 0.64; 95% CI, 0.53-0.78), lipid management (90-day aOR, 0.46; 95% CI, 0.33-0.65; 1-year aOR, 0.67; 95% CI, 0.53-0.85), discharged receiving statin medication (90-day aOR, 0.51; 95% CI, 0.36-0.73; 1-year aOR, 0.70; 95% CI, 0.55-0.88), cholesterol-lowering medication intensification (90-day aOR, 0.47; 95% CI, 0.26-0.83; 1-year aOR, 0.56; 95% CI, 0.41-0.77), antithrombotics by day 2 (90-day aOR, 0.56; 95% CI, 0.40-0.79; 1-year aOR, 0.69; 95% CI, 0.55-0.87) or at discharge (90-day aOR, 0.59; 95% CI, 0.41-0.86; 1-year aOR, 0.69; 95% CI, 0.54-0.88), and neurology consultation (90-day aOR, 0.67; 95% CI, 0.52-0.87; 1-year aOR, 0.74; 95% CI, 0.63-0.87). Anticoagulation for atrial fibrillation was associated with lower odds of 1-year mortality only (aOR, 0.59; 95% CI, 0.40-0.85). No processes were associated with reduced risk of recurrent stroke after adjustment for multiple comparisons. The rate of without-fail care was 15.3%; 1216 patients received all guideline-concordant processes of care for which they were eligible. Without-fail care was associated with a 31.2% lower odds of 1-year mortality (aOR, 0.69; 95% CI, 0.55-0.87) but was not independently associated with stroke risk. Conclusions and Relevance: Patients who received 6 readily available processes of care had lower adjusted mortality 1 year after TIA or nonsevere ischemic stroke. Clinicians caring for patients with TIA and nonsevere ischemic stroke should seek to ensure that patients receive all guideline-concordant processes of care for which they are eligible