Abstract W MP99: Race/Ethnic and Sex Differences in EMS Transport among Hospitalized U.S. Stroke Patients: Analysis of the National Get With The Guidelines-Stroke Registry

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Heidi Mochari-Greenberger ◽  
Ying Xian ◽  
Anne S Hellkamp ◽  
Phillip J Schulte ◽  
Deepak L Bhatt ◽  
...  
Keyword(s):  
Ethnic Group ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
National Sample ◽  
Stroke Patients ◽  
Hispanic Males ◽  
Stroke Registry ◽  
Black Females ◽  
History Of ◽  
Get With The Guidelines

Background: Calling 911 is the recommended first step when stroke symptoms occur. Differences in activation of emergency medical services (EMS) may contribute to race/ethnic and sex disparities in stroke outcomes. The purpose of this study was to determine whether EMS utilization varies among a contemporary, diverse national sample of hospitalized acute stroke patients. Methods: We analyzed data from 398,798 stroke patients admitted to 1,613 Get With The Guidelines-Stroke participating hospitals from 10/1/11-3/31/14. Multivariable logistic regression was utilized to evaluate the associations between race/ethnic group and sex, with EMS use, adjusting for potential confounders. Results: Patients were 50.4% female, 69% white, 19% black, 8% Hispanic, 3% Asian, 1% other; 85.9% ischemic stroke. Overall 58.6% of stroke patients were transported to the hospital by EMS. EMS utilization differed by sex and race/ethnic group (interaction p<0.001). White females were most likely to use EMS (62.0%) and Hispanic males were least likely to (52.2%). Age, health insurance coverage, and history of prior stroke or TIA varied significantly among race/ethnic groups (p<0.0001). After adjustment for both patient and hospital characteristics, Hispanic and Asian men and women were less likely than their white counterparts to utilize EMS; black females were less likely than white females to utilize EMS (Table). Conclusion: EMS use was low overall and differential by race/ethnicity and sex. These contemporary data support a need for targeted initiatives to increase EMS transport among U.S. stroke patients.

Abstract T P188: Equivalency in Intravenous Thrombolytic Treatment Rates Between Primary Stroke Centers and Non-Primary Stroke Centers Through the Use of Telestroke

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Archit Bhatt ◽  
Elizabeth Barban ◽  
Leslie Corless ◽  
Tamela Stuchiner ◽  
Amit Kansara
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Symptom Onset ◽  
Stroke Care ◽  
Bivariate Analysis ◽  
Stroke Patients ◽  
Acute Stroke Care ◽  
Stroke Registry ◽  
Patient Arrival ◽  
History Of

Background: Research has shown that subjects evaluated at (Primary Stroke Centers) PSCs are more likely to receive rt–PA than those evaluated at non–PSCs. It is unknown if telestroke evaluation affects rt-PA rates at non-PSCs. We hypothesized that with a robust telestroke system rt-TPA rates among PSCs and non-PSCs are not significantly different. Methods and Results: Data were obtained from the Providence Stroke Registry from January 2010 to December 2012. We identified ischemic stroke patients (n=3307) who received care in Oregon and Southwest Washington, which include 2 PSCs and 14 non-PSCs. Intravenous rt–PA was administered to 7.3% (n=242) of ischemic patients overall, 8.4% (n=79) at non–PSCs and 6.9% (n=163) at PSCs (p=.135). Stroke neurologists evaluated 5.2 % (n=172) of all ischemic stroke patients (n=3307) were evaluated via telestroke robot. Our analysis included AIS (Acute Ischemic Stroke) patients, those presenting within 4.5 hours of symptom onset. We identified 1070 AIS discharges from 16 hospitals of which 77.9 % (n=833) were at PSCs and 22.1 % (n=237) non-PSCs. For acute ischemic stroke patients (AIS) patients, those presenting within 4.5 hours of symptom onset, 22.1% (n=237) received rt-PA; 21.5% (n=74) presented at non–PSCs and 23.7% (n=163) presented at PSCs. Among AIS, bivariate analysis showed significant differences in treatment rates by race, age, NIHSS at admit, previous stroke or TIA, PVD, use of robot, smoking and time from patient arrival to CT completed. Using multiple logistic regression adjusting for these variables, treatment was significantly related to admit NIHSS (AOR=1.67, p<.001), history of stroke (AOR=.323, p<.001), TIA (AOR=.303, p=.01) and PVD (AOR=.176, p=.02), time to CT (.971, p<.001), and use of robot (7.76, p<.001). PSC designation was not significantly related to treatment (p=.06). Conclusions: Through the use of a robust telestroke system, there are no significant differences in the TPA treatment rates between non-PSC and PSC facilities. Telestroke systems can ensure stroke patients access to acute stroke care at non-PSC hospitals.

Abstract TP205: Clinical Aspects Of First-ever Stroke In Patients With Permanent Pacemaker

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Jiro Kitayama ◽  
Hiroshi Nakane ◽  
Hiromi Ishikawa ◽  
Masahiro Shijo ◽  
Masahiro Kamouchi ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Pacemaker Implantation ◽  
The United States ◽  
Permanent Pacemaker ◽  
Stroke Onset ◽  
Clinical Aspects ◽  
Stroke Patients ◽  
Stroke Treatment ◽  
Stroke Registry ◽  
History Of

OBJECTIVES: Recently, increasing numbers of patients take pacemaker implantation: almost sixty thousands in Japan, and no less than two hundreds of thousands in the United States per year. Previous reports have indicated that prevalence of atrial fibrillation (Af) is high, and several coagulation markers are elevated in those with pacemaker. However, the precise features of stroke with implanted device are not clear. We, thus, examined the clinical aspects of stroke in pacemaker patients. METHODS: For the present study, we analyzed data from the Fukuoka Stroke Registry that is a multicenter epidemiological study database on acute stroke. From June 1999 to May 2011, 11376 ischemic stroke patients (72±12 years of age, female/male=4613/6763) who admitted to the hospital within seven days after onset were enrolled in the registry. Stroke subtypes were classified according to the diagnostic criteria of TOAST (Trial of Org 10172 in Acute Stroke Treatment). RESULTS: A total of 207 patients (1.8% of registered stroke patients) were with pacemaker. Among them, 130 patients had no history of any stroke. They appeared to be a mean age of 81±9 (range 42 to 97) years, and female/male ratio of 77/53. Mean duration from pacemaker implantation to stroke onset was 8±7 (median 6, quartile 3-11) years. 32 patients (25%) were given oral anticoagulant prior to stroke onset; 60 (46%) were on antiplatelet. Prevalence of Af in pacemaker patients was 48% (n=63). In those with Af, 48 patients (76%) were diagnosed as cardioembolic stroke, but only 22 (35%) were on anticoagulation before onset. Even in those without Af, 33 cases (49%) were also diagnosed as cardioembolic. The percentage of subjects with increased plasma D-dimer (≥1.5 μg/ml) was significantly higher in pacemaker group than no-pacemaker group, regardless of the presence or absence of Af (75% vs. 45% with Af; p<0.0001, 74% vs. 25% without Af; p<0.0001). CONCLUSIONS: In our current study, stroke in pacemaker patients revealed to have higher incidence of cardiogenic embolism, with or without Af. In addition, the majority was elderly, and failed to receive anticoagulant prior to stroke. It is needed to re-consider therapeutic strategy, including anticoagulation, for prevention of stroke in those with permanent pacemaker.

scholarly journals Early transition to comfort measures only in acute stroke patients

2017 ◽  
Vol 7 (3) ◽  
pp. 194-204 ◽  
Author(s):  
Shyam Prabhakaran ◽  
Margueritte Cox ◽  
Barbara Lytle ◽  
Phillip J. Schulte ◽  
Ying Xian ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Multivariable Analysis ◽  
Hospital Level ◽  
Stroke Patients ◽  
Stroke Registry ◽  
Factors Associated ◽  
Early Decision ◽  
Stroke Type ◽  
Get With The Guidelines ◽  
Hospital Characteristics

AbstractBackground:Death after acute stroke often occurs after forgoing life-sustaining interventions. We sought to determine the patient and hospital characteristics associated with an early decision to transition to comfort measures only (CMO) after ischemic stroke (IS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) in the Get With The Guidelines–Stroke registry.Methods:We identified patients with IS, ICH, or SAH between November 2009 and September 2013 who met study criteria. Early CMO was defined as the withdrawal of life-sustaining treatments and interventions by hospital day 0 or 1. Using multivariable logistic regression, we identified patient and hospital factors associated with an early (by hospital day 0 or 1) CMO order.Results:Among 963,525 patients from 1,675 hospitals, 54,794 (5.6%) had an early CMO order (IS: 3.0%; ICH: 19.4%; SAH: 13.1%). Early CMO use varied widely by hospital (range 0.6%–37.6% overall) and declined over time (from 6.1% in 2009 to 5.4% in 2013; p < 0.001). In multivariable analysis, older age, female sex, white race, Medicaid and self-pay/no insurance, arrival by ambulance, arrival off-hours, baseline nonambulatory status, and stroke type were independently associated with early CMO use (vs no early CMO). The correlation between hospital-level risk-adjusted mortality and the use of early CMO was stronger for SAH (r = 0.52) and ICH (r = 0.50) than AIS (r = 0.15) patients.Conclusions:Early CMO was utilized in about 5% of stroke patients, being more common in ICH and SAH than IS. Early CMO use varies widely between hospitals and is influenced by patient and hospital characteristics.

Abstract TP313: A Metro Chicago Learning Collaborative Model to Improve Smoking Cessation Rates in Stroke Patients

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Zachary Bulwa ◽  
Joy Rainey ◽  
Donna Kruse ◽  
Lynn Klassman ◽  
Renee Sednew ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Best Practices ◽  
Smoking Behavior ◽  
Learning Collaborative ◽  
Stroke Patients ◽  
Post Discharge ◽  
Collaborative Model ◽  
Chicago Area ◽  
History Of ◽  
Get With The Guidelines

Background: National guidelines for stroke care recommend that patients discharged with a stroke who have a history of smoking receive smoking cessation intervention prior to hospital discharge. However, less is known about the types of intervention provided and subsequent outcomes post-discharge. The Metro Chicago Smoking Cessation Initiative Pilot aimed to improve understanding of smoking cessation interventions provided at discharge, smoking behavior at 30 days post-discharge, and best practices and barriers for reducing smoking rates in stroke patients discharged from 20 Chicago area hospitals. Methods: A review of smoking cessation interventions provided at discharge and smoking cessation outcomes post-discharge for stroke patients discharged between August 1, 2018 and July 31, 2019 at 20 Chicago area participating hospitals was conducted using Get With The Guidelines® Stroke. The pilot used a Learning Collaborative model that included a quality improvement leader, smoking cessation/health behavior content experts, reporting of experiences and data, and sharing of best practices. All hospitals were required to attend quarterly online learning sessions and use Get With The Guidelines® Stroke for data entry. Results: Preliminary results from the 20 participating hospitals suggest smoking cessation counseling is the most commonly delivered intervention at discharge. Of the patients reached at 30 days post-discharge, 75% of those who reported at history of smoking at the time of their stroke were still using tobacco products. However, nearly 50% of those patients reported having made at least one attempt to quit. Conclusions: Preliminary results from this pilot project highlight the need for improved tracking of smoking cessation interventions provided at discharge and associated smoking behavior post-discharge, as well as the benefits of regional collaboration for identifying and implementing best practices.

Abstract 82: Patient and Hospital Characteristics of Pregnancy-Related Stroke from the Get With The Guidelines Stroke Registry

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Lisa Leffert ◽  
Caitlin Clancy ◽  
Brian Bateman ◽  
Margueritte Cox ◽  
Phillip Schulte ◽  
...  
Keyword(s):  
Medical History ◽  
Healthcare Setting ◽  
Continuous Variables ◽  
Principal Diagnosis ◽  
Stroke Subtype ◽  
Stroke Registry ◽  
Clinical Detail ◽  
History Of ◽  
Get With The Guidelines ◽  
Hospital Characteristics

Background: Stroke accounts for 14% of maternal deaths. Our knowledge of the risk factors and etiologies of pregnancy-related stroke (PRS) is limited, as most data are derived from small, single center series or large, administrative datasets lacking clinical detail. We sought to describe the patient and hospital characteristics of PRS by analyzing the Get with the Guidelines (GWTG) Stroke Registry. Methods: All female patients aged 18-44 entered into GWTG from 2008-2013 with PRS were ascertained by medical history of pregnancy (i.e. pregnant or <6 weeks postpartum) plus a principal diagnosis ICD-9 code (430, 431) (58%), PRS ICD-9 code (671.5x, 673.04, 674.0x) as the principal diagnosis alone (18%), or with a medical history of pregnancy (24%). Proportions for categorical and medians for continuous variables are reported. Results: We identified 46043 patients with stroke from 1554 sites, of whom 668 (1.5%) had PRS. Ischemic stroke (IS) occurred in 338 (51%), intracerebral hemorrhage (ICH) in 178 (27%) and subarachnoid hemorrhage (SAH) in 152 (23%). Many patient and hospital characteristics differed significantly by stroke subtype (Table). Hypertension, smoking and pre-stroke therapy with antithrombotics or antihypertensives were common; 7.4% of IS were recurrent. About 86% of all strokes did not occur in a healthcare setting and only 27% of patients arrived by EMS. Median initial blood pressure (BP) was higher in HS (ICH and SAH) than in IS, and half of all patients had initial BP below the threshold for pre-eclampsia (140/90 mmHg). HS patients were more often treated at larger, academic hospitals. Conclusions: PRS constituted 1.5% of all strokes aged 18-44 in a large contemporary stroke registry and 50% were HS. Most PRS occurred out of hospital, and half of all cases presented with normal BP levels. Further research is needed to better define PRS etiology.

Abstract TP200: Family History and Risk of Recurrent Stroke

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Jun Yup Kim ◽  
Jong-Won Chung ◽  
Beom Joon Kim ◽  
Moon-Ku Han ◽  
Kyusik Kang ◽  
...  
Keyword(s):  
Family History ◽  
Recurrent Stroke ◽  
Stroke Onset ◽  
Stroke Recurrence ◽  
Stroke Patients ◽  
Stroke Registry ◽  
First Degree Relatives ◽  
Index Stroke ◽  
History Of ◽  
Cox Proportional Hazard Models

Background: Association between family history of stroke and stroke recurrence remains unclear. Methods: Using a web-based multicenter stroke registry database, information on history of stroke in first-degree relatives was collected prospectively in ischemic stroke patients hospitalized within 7 day of onset. Collected information was categorized as follows: type of affected relatives with stroke (paternal, maternal, sibling, or two or more) and age of relative’s stroke onset in relative (< 50, 50∼59, 60∼69, and ≥ 70). Stroke recurrence was captured prospectively using predetermined protocol. Subgroup analysis was performed using categories based on patient’s age at the index stroke. Results: Among 7,642 patients, 937 (12.3%) had history of stroke in their first-degree relatives, and 475(6.2%) experienced stroke recurrence (median follow-up, 365 days). In multivariate Cox proportional hazard models, overall family history was not associated with stroke recurrence (hazard ratio [HR], 1.06; 95% confidence interval [CI], 0.80-1.41). However, the details of family history, including relative’s age at stroke onset < 50 (HR, 2.15; 95% CI, 1.01-4.57) and stroke history in sibling (HR, 1.67; 95% CI, 1.09-2.57) were independently associated with stroke recurrence after adjusting for possible confounders. The associations seemed to be stronger in stroke of young adults (age, <55) compared to older stroke patients. Conclusion: This study suggests that having relative with early onset stroke and sibling with history of stroke increase the risk of recurrent stroke and imply that additional precautions may be needed in such population.

scholarly journals Initial in-hospital heart rate is associated with three-month functional outcomes after acute ischemic stroke

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ya-Wen Kuo ◽  
Meng Lee ◽  
Yen-Chu Huang ◽  
Jiann-Der Lee
Keyword(s):  
Heart Rate ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Functional Outcomes ◽  
Reference Group ◽  
Unfavorable Outcome ◽  
Multivariable Logistic Regression Analysis ◽  
Stroke Patients ◽  
Stroke Registry ◽  
History Of

Abstract Background Increased heart rate (HR) has been associated with stroke risk and outcomes. Material and methods We analyzed 1,420 patients from a hospital-based stroke registry with acute ischemic stroke (AIS). Mean initial in-hospital HR and the coefficient of variation of HR (HR-CV) were derived from the values recorded during the first 3 days of hospitalization. The study outcome was the 3-month functional outcome. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated using multivariable logistic regression analysis. Results A higher mean HR level was significantly and continuously associated with a higher probability of unfavorable functional outcomes. Compared with the reference group (mean HR < 70 beats per minute), the multivariate-adjusted OR for an unfavorable outcome was 1.81 (95% CI, 1.25–2.61) for a mean HR ≥ 70 and < 80 beats per minute, 2.52 (95% CI, 1.66 − 3.52) for a mean HR ≥ 80 and < 90 beats per minute, and 3.88 (95% CI, 2.20–6.85) for mean HR ≥ 90 beats per minute. For stroke patients with a history of hypertension, the multivariate-adjusted OR for patients with a HR-CV ≥ 0.12 (versus patients with a HR-CV < 0.08 as a reference) was 1.73 (95% CI, 1.11–2.70) for an unfavorable outcome. Conclusions Our results indicated that a high initial in-hospital HR was significantly associated with unfavorable 3-month functional outcomes in patients with AIS. In addition, stroke patients with a HR-CV ≥ 0.12 also had unfavorable outcomes compared with those with a HR-CV < 0.08 if they had a history of hypertension.

scholarly journals THE MARKETING MIX FOR LOW COST HEALTHCARE

2017 ◽  
Vol 5 (5) ◽  
pp. 232-239
Author(s):  
Julie George ◽  
Manita D. Shah
Keyword(s):  
Health Care ◽  
Access To Health Care ◽  
Social Stigma ◽  
Low Cost ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Marketing Mix ◽  
Health Care Facilities ◽  
Poor Access ◽  
History Of

The Indian health care industry has a history of dealing with poor doctor-patient ratio, shortage of medical professionals, poor health infrastructure, and low expenditure on healthcare information technology; steep out of pocket spending (OOP), low health insurance coverage, inadequate government spending, poor access to health care facilities and social stigma related to diseases.  The unique mindset and ability for frugality has successfully been applied in offering low cost healthcare of uncompromised quality. While this has been achieved by few innovative entrepreneurs, it is imperative to help the new entrants with the collective experience in dealing with the rural market. A qualitative study was undertaken. Five Indian organizations, that have earned accolades and awards for successfully innovating for the poor were studied in-depth. The research looked into the challenges faced by the entrepreneurs. The methods and measures that evolved from their operation were analyzed. In order to help marketers learn from the pioneers, the paper has simplified the measures and steps in marketing to the familiar P’s of the marketing mix. In healthcare, the product is tied with service and the need is to work on all the 7P’s is useful. Keywords: frugal, innovation, entrepreneurship, marketing mix, healthcare.

Cumulative incidence of financial hardship in metastatic colorectal cancer patients: Primary endpoint results for SWOG S1417CD.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 7010-7010 ◽  
Author(s):  
Veena Shankaran ◽  
Joseph M. Unger ◽  
Amy Darke ◽  
Jennifer Marie Suga ◽  
James Lloyd Wade ◽  
...  
Keyword(s):  
Primary Endpoint ◽  
Cumulative Incidence ◽  
Insurance Coverage ◽  
Secondary Analysis ◽  
Health Insurance Coverage ◽  
National Sample ◽  
Financial Hardship ◽  
Research Network ◽  
Risk Of Death ◽  
Oncology Research

7010 Background: Despite evidence that rising cancer care costs are contributing to “financial toxicity” in cancer pts, no studies, to our knowledge, have prospectively assessed the financial impact of cancer diagnosis (dx) using both self-reported and objective financial measures. S1417CD, led by the SWOG Cancer Research Network and conducted in the NCI Community Oncology Research Program (NCORP), was the first national prospective cohort study to evaluate time-to-first evidence of major financial hardship (MFH) in pts with newly diagnosed mCRC. We present results of the primary endpoint analysis. Methods: Pts age ≥ 18 within 120 days of mCRC dx receiving systemic treatment completed surveys every 3 months (mo) for 12 mo. MFH was defined as ≥ 1 occurrence of self-reported increase in debt, new loans, selling home, refinancing home, or ≥ 20% income decline during the 12 mo study period. Cumulative incidence (CI) of MFH was estimated to account for competing risk of death. Additional endpoints, not reported here, included quality of life, caregiver strain, and changes in credit status over 12 mo. Results: In total, 380 pts (median age 59.9) across 126 clinic sites were enrolled, with 377 eligible and evaluable for the primary endpoint (reached 12 mo assessment, death, or MFH endpoint); complete data were available for 92% of pts as of Jan 23, 2020. Most pts were white (78%), male (61%), and insured (98%), with annual income ≤ $50,000 (56%). Cumulative incidence of MFH at 12 mo was 71.5% (95% CI: 65.9%-76.3%), with 24.6%, 52.4%, and 61.8% at 3, 6, and 9 mo. The dominant components of MFH were new debt (12-mo CI, 56.7%) and >20% decline in income (26.7%); 104 (41%) pts reported ≥ 2 elements of MFH. In a secondary analysis excluding new debt, 12 mo cumulative incidence of MFH was 42.9% (95% CI: 37.2%-48.5%), with 10.3%, 24.4%, and 31.9% at 3, 6, and 9 mo. Conclusions: In a national sample of mCRC pts on systemic tx, financial hardship, most commonly in the form of increased debt, accumulates progressively over time. Nearly 3 out of 4 pts experiencing MFH at 12 mo despite access to health insurance coverage. These findings underscore the need for clinic and policy solutions such as early financial navigation and elimination of cost sharing to protect pts from financial devastation as they continue with tx. Clinical trial information: NCI-2015-01885 . [Table: see text]

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