Literature DB >> 30587062

Racial/Ethnic Disparities in Mortality Among Medicare Beneficiaries in the FL - PR CR eSD Study.

Hannah Gardener1, Erica C Leifheit2, Judith H Lichtman2, Yun Wang2, Kefeng Wang1, Carolina M Gutierrez1, Maria A Ciliberti-Vargas1, Chuanhui Dong1, Sofia Oluwole1, Mary Robichaux1, Jose G Romano1, Tatjana Rundek1, Ralph L Sacco1.   

Abstract

Background Racial/ethnic disparities in acute stroke care may impact stroke outcomes. We compared outcomes by race/ethnicity among elderly Medicare beneficiaries in hospitals participating in the FL-PR CReSD (Florida-Puerto Rico Collaboration to Reduce Stroke Disparities) registry with those in hospitals not participating in any quality improvement programs (non- QI ) in Florida and Puerto Rico (PR). Methods and Results The population included fee-for-service Medicare beneficiaries age 65+ in Florida and PR , discharged with primary diagnosis of ischemic stroke ( International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM], codes 433, 434, 436) in 2010-2013. We used mixed logistic models to assess racial/ethnic differences in outcomes (in-hospital, 30-day, and 1-year mortality, and 30-day readmission) for CR e SD and non- QI hospitals, adjusted for demographic and clinical characteristics. The study included 62 CR e SD hospitals (N=44 013, 84% white, 9% black, 4% Florida Hispanic, 1% PR Hispanic) and 113 non- QI hospitals (N=14 422, 78% white, 7% black, 5% Florida Hispanic, 8% PR Hispanic). For patients treated at CR e SD hospitals, there were no differences in risk-adjusted in-hospital mortality by race/ethnicity; blacks had lower 30-day mortality versus whites (odds ratio, 0.86; 95% confidence interval, 0.77-0.97), but higher 30-day readmission (hazard ratio, 1.09; 1.00-1.18) and 1-year mortality (odds ratio, 1.13; 1.04-1.23); Florida Hispanics had lower 30-day readmission (hazard ratio, 0.87; 0.78-0.98). PR Hispanic and black stroke patients treated at non- QI hospitals had higher risk-adjusted in-hospital, 30-day and 1-year mortality, but similar 30-day readmission versus whites treated in non- QI hospitals. Conclusions Disparities in outcomes were less common in CR e SD than non- QI hospitals, suggesting the benefits of quality improvement programs, particularly those focusing on racial/ethnic disparities.

Entities:  

Keywords:  Medicare; disparities; mortality; race and ethnicity; stroke

Mesh:

Year:  2019        PMID: 30587062      PMCID: PMC6405703          DOI: 10.1161/JAHA.118.009649

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Clinical Perspective

What Is New?

This study adds to the literature on short‐term and long‐term outcomes after hospitalization for ischemic stroke. Racial/ethnic disparities in mortality were more pronounced in non–quality improvement hospitals compared with hospitals participating in the Collaboration to Reduce Stroke Disparities.

What Are the Clinical Implications?

This study illustrates the potential benefits of stroke quality improvement programs, particularly those focused on racial/ethnic disparities.

Introduction

Racial/ethnic disparities in outcomes following stroke have been documented, with blacks and Hispanics having a higher rate of mortality and stroke recurrence as compared with whites.1 Hospital participation in quality improvement programs, such as the Get With the Guidelines‐Stroke (GWTGStroke) program, has been shown to improve adherence to evidence‐based best stroke care practices.2 Participation in this type of quality improvement program has also been associated with reduced postdischarge mortality in elderly fee‐for‐service Medicare patients treated at GWTGStroke hospitals.3 Less is known about whether quality improvement programs specifically designed and targeted to reduce racial/ethnic disparities in stroke care are associated with improved outcomes for stroke patients. We created the FL‐PR CReSD stroke registry (Florida–Puerto Rico Collaboration to Reduce Stroke Disparities), a voluntary stroke registry among Florida and Puerto Rico (PR) hospitals, designed to identify and address racial/ethnic and geographic disparities in acute stroke care performance metrics. In previous publications, we have reported both racial/ethnic and geographic disparities in stroke care, including defect‐free care, in this study population. We observed improved stroke care among all racial/ethnic groups and lessening disparities over time (2010–2014), but Hispanics living in PR still receive less adequate care as compared with all groups living in Florida.4 Though disparities in care exist in this study population, less is known about racial/ethnic disparities in posthospitalization outcomes following stroke. Accordingly, the primary goal of the current study is to evaluate racial/ethnic differences for in‐hospital, 30‐day, and 1‐year mortality as well as 30‐day hospital readmission among Medicare beneficiaries treated at CReSD hospitals, compared with Medicare beneficiaries treated at hospitals not participating in the CReSD quality improvement program.

Methods

The data, analytic methods, and study materials will not be made available to other researchers for purposes of reproducing the results or replicating the procedure.

CReSD Registry

The FL‐PR CReSD registry is a voluntary stroke registry that uses data collected by the GWTGStroke system and adds some additional questions (eg, ethnicity, language, education). GWTGStroke is a national quality improvement initiative by the American Heart Association to monitor stroke care performance metrics across the country. Though there are substantial differences in hospital‐level characteristics between those participating and not participating in GWTGStroke, data suggest that on an individual level, Medicare beneficiaries treated for acute stroke at GWTGStroke participating hospitals are representative of the national Medicare ischemic stroke population.5 Hospitals in Florida and PR already participating in the ongoing GWTGStroke data collection system were invited to join the CReSD registry. As of March 2015, the CReSD registry included 74 hospitals; 65 in Florida and 9 in PR. Retrospective and prospective hospital‐collected GWTGStroke data were available for patients with a primary diagnosis of ischemic stroke, transient ischemic attack, subarachnoid hemorrhage, intracerebral hemorrhage, and stroke not otherwise specified.

Study Population

The study included Medicare fee‐for‐service beneficiaries aged ≥65 years who were discharged from a Florida or PR acute care hospital between 2010 and 2013 with a principal diagnosis of ischemic stroke (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD‐9‐CM], codes 433, 434, and 436). To ensure complete claims history, only patients with ≥12 continuous months of Medicare fee‐for‐service enrollment before the index hospitalization were included in analyses. We excluded those treated at GWTGStroke hospitals that did not participate in CReSD, as the aim was to compare hospitals participating in the registry with those hospitals not currently enrolled in a quality improvement program. We excluded patients discharged from non–acute care facilities, discharged within 1 day of admission, or who left the hospital against medical advice. Patients transferred from one acute care hospital to another were required to have had a principal discharge diagnosis of ischemic stroke at both hospitals. We randomly selected one ischemic stroke hospitalization for patients with multiple ischemic stroke admissions during the study period. Cases were categorized by hospital type: CReSD versus no quality improvement programs (non‐QI). Race/ethnicity was categorized as whites (non‐Hispanic) (reference), blacks, Hispanics living in Florida, Hispanics living in PR, and other race. Data were obtained from the Medicare Inpatient and Master Beneficiary Summary Files, and they are protected through a data use agreement with the Centers for Medicare and Medicaid Services (CMS). The study was approved by the institutional review boards of the University of Miami and Yale University.

Outcomes

The primary outcomes included in‐hospital, 30‐day, and 1‐year all‐cause mortality measured from the date of the index ischemic stroke hospital admission and 30‐day all‐cause readmission measured from the date of discharge. Patients who were transferred from the admitting hospital to another acute care hospital and those who died during the index hospitalization were excluded from the readmission analyses. For mortality analyses, outcomes of transferred patients were attributed to the initial admitting hospital. Additional outcomes included discharge disposition, length of hospital stay, and Medicare payment for the index hospitalization.

Covariates

Demographic information included patient age and sex. Race/ethnicity was derived from the Master Beneficiary Summary File data, which are drawn from the Medicare enrollment database. Comorbidities and other clinical variables (eg, hypertension, diabetes mellitus, renal failure; see Table for a complete list) were derived from the index admission secondary diagnoses and the primary diagnosis, secondary diagnosis, and procedure codes from inpatient claims submitted in the 12 months before the index hospitalization, based on the Hierarchical Condition Categories.6
Table 1

Description of the Study Population by Hospital Type

VariableCReSDNon‐QI P Value
Total stroke discharges44 01314 422
Age, y, mean (SD)79.8 (8.3)79.7 (8.1)0.21
Women, n (%)23 618 (53.7)7840 (54.4)0.14
Race, n (%)<0.001
White37 129 (84.4)11 190 (77.6)
Black3769 (8.6)1002 (6.9)
Other race968 (2.2)405 (2.8)
Congestive heart failure, n (%)5727 (13.0)1747 (12.1)0.01
Prior myocardial infarction, n (%)1290 (2.9)393 (2.7)0.20
Unstable angina, n (%)620 (1.4)337 (2.3)<0.001
Chronic atherosclerosis, n (%)16 368 (37.2)5329 (37.0)0.61
Respiratory failure, n (%)1724 (3.9)533 (3.7)0.23
Hypertension, n (%)34 528 (78.4)11 434 (79.3)0.03
Prior stroke, n (%)3539 (8.0)1212 (8.4)0.17
Cerebrovascular disease, n (%)5973 (13.6)1744 (12.1)<0.001
Renal failure, n (%)5510 (12.5)1694 (11.7)0.01
Chronic obstructive pulmonary disease, n (%)7137 (16.2)2649 (18.4)<0.001
Pneumonia, n (%)4053 (9.2)1555 (10.8)<0.001
Protein‐calorie malnutrition, n (%)2285 (5.2)664 (4.6)0.01
Dementia, n (%)6753 (15.3)2567 (17.8)<0.001
Functional disability, n (%)3088 (7.0)912 (6.3)0.004
Peripheral vascular disease, n (%)3442 (7.8)1074 (7.4)0.15
Cancer, n (%)3327 (7.6)950 (6.6)<0.001
Trauma, n (%)4130 (9.4)1150 (8.0)<0.001
Psychiatric disorder, n (%)1538 (3.5)612 (4.2)<0.001
Liver disease, n (%)264 (0.6)86 (0.6)0.96
Depression, n (%)3233 (7.3)1066 (7.4)0.86
Diabetes mellitus, n (%)14 640 (33.3)5567 (38.6)<0.001

CReSD indicates Collaboration to Reduce Stroke Disparities; Non‐QI, non–quality improvement.

Description of the Study Population by Hospital Type CReSD indicates Collaboration to Reduce Stroke Disparities; Non‐QI, non–quality improvement.

Statistical Analysis

We fit mixed models with a logit link function and hospital‐specific random intercepts to assess racial/ethnic differences in the odds of in‐hospital, 30‐day, and 1‐year mortality, adjusting for the patient demographic and clinical characteristics in Table and stratifying by hospital type (CReSD and non‐QI). We constructed Cox proportional hazards models with death as a censoring event to compare rates of 30‐day readmission by race/ethnicity, adjusting for the same patient characteristics and stratifying by hospital type. In additional adjusted models, we compared the overall mortality and readmission outcomes by hospital type. Analyses were conducted using SAS v9.4 (SAS Institute, Cary, NC), and statistical tests used a 2‐sided alpha of 0.05.

Results

The overall study population included 44 013 ischemic stroke cases from 62 CReSD registry hospitals (9% Florida black, 4% Florida Hispanic, 86% Florida white, 1% PR Hispanic), and 14 422 cases from 113 non‐QI hospitals (7% Florida black, 5% Florida Hispanic, 80% Florida white, 8% PR Hispanic). The demographic characteristics and risk factors by hospital type are shown in Table. The mean age (80±8) and sex distribution (54% female) were similar across hospital types. Tables S1 and S2 show the risk factors stratified by race/ethnicity in each of the hospital groups. Observed outcomes differed by race/ethnicity in analyses stratified by CReSD and non‐QI hospitals (all P<0.001; Figure 1). In particular, PR Hispanic and black stroke patients treated at non‐QI hospitals had higher in‐hospital, 30‐day, and 1 year mortality versus those treated in CReSD hospitals (Figure 1). In risk‐adjusted comparisons, patients treated at CReSD hospitals had lower in‐hospital mortality (odds ratio [OR], 0.74; 95% confidence interval [CI], 0.58–0.94) and 1‐year mortality (OR, 0.89; 95% CI, 0.81–0.87) as compared with patients treated at non‐QI hospitals, and the reduced rate of 30‐day readmission was of borderline significance (OR, 0.95; 95% CI, 1.00) (Figure 2).
Figure 1

Unadjusted racial/ethnic differences in mortality and readmission by hospital type.* *In both CReSD and non‐QI hospitals, all P<0.001 for the comparison of outcomes by race. CReSD indicates Collaboration to Reduce Stroke Disparities; Florida Hispanic, Hispanics living in Florida; non‐QI, non–quality improvement; PR Hispanic, Hispanics living in Puerto Rico.

Figure 2

Mortality and readmission in CReSD vs non‐QI hospitals. Models adjusted for demographic characteristics and comorbid conditions. CRESD indicates Collaboration to Reduce Stroke Disparities; HR, hazard ratio; non‐QI, non–quality improvement; OR, odds ratio.

Unadjusted racial/ethnic differences in mortality and readmission by hospital type.* *In both CReSD and non‐QI hospitals, all P<0.001 for the comparison of outcomes by race. CReSD indicates Collaboration to Reduce Stroke Disparities; Florida Hispanic, Hispanics living in Florida; non‐QI, non–quality improvement; PR Hispanic, Hispanics living in Puerto Rico. Mortality and readmission in CReSD vs non‐QI hospitals. Models adjusted for demographic characteristics and comorbid conditions. CRESD indicates Collaboration to Reduce Stroke Disparities; HR, hazard ratio; non‐QI, non–quality improvement; OR, odds ratio. Figure 3 shows the risk‐adjusted associations between race/ethnicity and outcomes, stratified by hospital type. Among CReSD hospitals, there were no race/ethnic disparities observed for in‐hospital mortality. Blacks had lower 30‐day mortality (OR, 0.86; 95% CI, 0.77–0.97) but higher 1‐year mortality versus whites (OR, 1.13; 95% CI, 1.04–1.23), and Florida Hispanic residents had lower rates of 30‐day readmission compared with whites (OR, 0.87; 95% CI, 0.78–0.98), while blacks had higher rates (OR, 1.09; 95% CI, 1.00–1.18). In the non‐QI hospitals, PR Hispanic (OR, 1.66; 95% CI, 1.36–2.03) and black patients (OR, 1.76; 95% CI, 1.38–2.26) had higher in‐hospital mortality compared with whites. In addition, 30‐day and 1‐year mortality were also elevated for PR Hispanics and Florida blacks versus whites, but there were no racial/ethnic disparities in 30‐day readmission rates.
Figure 3

Adjusted racial/ethnic differences in mortality and readmission by hospital type. Models adjusted for demographic characteristics and comorbid conditions. CRESD indicates Collaboration to Reduce Stroke Disparities; Florida Hispanic, Hispanics living in Florida; non‐QI, non–quality improvement; PR Hispanic, Hispanics living in Puerto Rico.

Adjusted racial/ethnic differences in mortality and readmission by hospital type. Models adjusted for demographic characteristics and comorbid conditions. CRESD indicates Collaboration to Reduce Stroke Disparities; Florida Hispanic, Hispanics living in Florida; non‐QI, non–quality improvement; PR Hispanic, Hispanics living in Puerto Rico.

Discussion

Elderly fee‐for‐service Medicare beneficiaries treated for stroke in CReSD hospitals had lower in‐hospital and 1‐year mortality compared with those treated in non‐QI hospitals, highlighting the short‐ and long‐term value of participation in QI initiatives. This was particularly true for Hispanics living in PR and for blacks. Our findings are consistent with a previous study demonstrating lower postdischarge mortality among Medicare beneficiaries treated for stroke in GWTGStroke participating hospitals compared with non–GWTGStroke hospitals in a national sample.3 A unique contribution of the current study is the finding that racial/ethnic disparities in short‐ and long‐term mortality after stroke also appeared to be more pronounced in non‐QI hospitals versus CReSD hospitals, suggesting that participation in CReSD may not only improve outcomes but may also help reduce inequality in stroke outcomes. In the FL‐PR CReSD registry, we observed racial differences in long‐term mortality following stroke, but not in in‐hospital mortality. In particular, we observed lower 30‐day mortality among blacks compared with whites, in contrast to higher 1‐year mortality in blacks compared with whites. We have previously reported racial/ethnic and geographic disparities in acute stroke care, specifically defect‐free care, such that care in PR was inferior to that provided in Florida across racial/ethnic groups. However, in the current study among elderly Medicare beneficiaries, we did not observe any differences in mortality or readmission rates for PR Hispanics. Overall, our findings underscore the importance of continued efforts to identify inequality in acute and long‐term care to eliminate disparities in stroke outcomes in this region. Racial/ethnic disparities for in‐hospital mortality were not observed in the CReSD registry, which was specifically created to target racial/ethnic disparities in stroke care, as compared with significant racial/ethnic disparities for in‐hospital mortality observed among patients treated at Florida and PR non‐QI hospitals. Adherence to evidence‐based guidelines as promoted through GWTGStroke improves overall stroke outcomes, as well as helps reduce racial/ethnic stroke disparities. There are differences among hospitals participating in quality improvement programs compared with those that do not participate. Analysis of the national GWTGStroke data set revealed that GWTGStroke participating hospitals are larger, urban teaching centers compared with non–GWTGStroke hospitals.5 Some hospitals have dedicated stroke‐focused programs with personnel trained in vascular neurology, neurosurgery, and endovascular procedures; 24/7 availability of imaging, operating room, and endovascular facilities; and expertise in treating various stroke types.7 These certified stroke centers are associated with better outcomes such as lower 30‐day and 1‐year mortality compared with noncertified centers.8 If the proportion of stroke certified centers differs between CReSD and non‐QI hospitals, this may account for some residual confounding. A greater proportion of FL‐PR CReSD hospitals may be large, academic centers9 compared with GWTGStroke hospitals.5 Although we were unable to assess non–CReSD GWTGStroke participating hospitals as a comparison group due to the data use agreement, we acknowledge that these hospitals may differ from CReSD GWTGStroke hospitals. Racial/ethnic disparities in long‐term outcomes, including mortality and rehospitalization, were also examined in a national sample of 200 900 Medicare beneficiaries age 65 and older who were treated for ischemic stroke at hospitals participating in GWTGStroke.10 This nationwide study did not focus on specific geographic areas, which is important, as there can be heterogeneity in trends across the country. However, they also demonstrated disparities in long‐term outcomes after adjusting for stroke severity and clinical and hospital characteristics. In fact, they also observed a lower 30‐day mortality and a higher 1‐year mortality among blacks compared with whites, consistent with our observations in the Florida and PR CReSD registry hospitals. Hispanics had a lower 30‐day mortality as compared with whites, although there was no difference in 1‐year mortality between whites and Hispanics in their study. In contrast, we did not observe differences in 30‐day or 1‐year mortality in Florida Hispanics compared with whites in either of the hospital groups, which may reflect regional differences in trends, as well as differences between Florida Hispanics and those in other parts of the United States. PR Hispanics treated in non‐QI hospitals had higher 30‐day and 1‐year mortality as compared with Florida whites, but the comparison was not significant among patients treated at CReSD hospitals. In the national sample of Medicare patients treated at GWTGStroke hospitals, rehospitalization in the first year was also more common among blacks and Hispanics as compared with whites.10 Our study, focused on readmission within the first 30 days, also found a higher rate among blacks compared with whites in the CReSD hospitals. In our FL‐PR CReSD registry hospitals, we observed lower 30‐day readmission for Florida Hispanics compared with whites, but no difference among the non‐QI hospitals, which is inconsistent with the trends observed in the national sample. The greater in‐hospital mortality among blacks treated at non‐QI hospitals could also have led to a greater proportion of lower‐risk patients being discharged and a subsequent lower 30‐day readmission rate. Racial/ethnic differences in posthospitalization outcomes following ischemic stroke may reflect differences in the stroke pathologies, clinical characteristics between groups, and treatments and interventions received after discharge. While it is possible that a greater proportion of small‐vessel infarcts among blacks could account for lower in‐hospital mortality, it has also been suggested that short‐term survival may be higher in blacks due to more intensive life‐sustaining interventions received.11 A 2010 study, however, using national GWTGStroke data showed that blacks received fewer evidence‐based care processes as compared with whites, including intravenous thrombolysis, deep vein thrombosis prophylaxis, smoking cessation counseling, discharge antithrombotics, anticoagulants for atrial fibrillation, and lipid therapy.12 Such differences in the quality of acute stroke care may be partly responsible for increases in 30‐day readmission rates. In the Northern Manhattan Study, blacks and Hispanics had a higher rate of all stroke subtypes as compared with whites, but the elevation was particularly apparent for intracranial atherosclerotic stroke,13 and 30‐day recurrence has been shown to be higher for patients with intracranial atherosclerotic stroke.14, 15 Future research is needed to examine racial/ethnic differences in process‐of‐care measures in relationship to postdischarge outcomes. The study has several limitations. First, the study includes elderly fee‐for‐service Medicare beneficiaries, and the results may not be generalizable to younger patients or those enrolled in Medicare Advantage. Some studies have observed greater stroke disparities among younger populations.16, 17, 18 Misclassification or coding errors are possible, as demographic and clinical information were derived from administrative data, and information regarding race/ethnicity included self‐report or recording by the admitting clinician or administrators. Historically, ethnicity data in the Centers for Medicare and Medicaid Services has been less accurate than race data.19 Consequently, Hispanic ethnicity may be underreported. This misclassification is likely nondifferential, as it is unlikely to be related to the outcomes of interest. Stroke severity is a significant predictor of mortality after stroke.20 Similarly, hospital characteristics such as larger annual volume of ischemic stroke cases,21 academic status,22 and stroke center certification8 are associated with lower mortality after stroke. These patient and hospital characteristics are not captured in the administrative Centers for Medicare and Medicaid Services data yet they may contribute to some of the observed differences between CReSD and non‐QI hospitals in our study. Finally, given the scope of our data use agreement, we were unable to include GWTGStroke/non‐CReSD hospitals as a comparison group for the analyses. In summary, 30‐day and 1‐year outcomes were better for the CReSD registry hospitals compared with non‐QI hospitals. Racial/ethnic differences for in‐hospital mortality were observed among Florida and PR non‐QI hospitals but not among hospitals participating in CReSD. Racial/ethnic disparities for postdischarge mortality were observed among patients treated in CReSD hospitals but were larger for patients treated at non‐QI hospitals. Results support the benefits of quality improvement programs, particularly those focusing on racial/ethnic disparities. These observations also demonstrate the need to design and implement evidence‐based interventions that continue beyond the acute hospitalization period in order to reduce disparities in longer‐term outcomes after stroke.

Sources of Funding

This study is supported by the NIH/NINDS Grant U54‐NS081763.

Disclosures

Dr Romano is a PI of the Florida–Puerto Rico Collaboration to Reduce Stroke Disparities (NIH/NINDS U54NS081763) and a PI for the Transition of Care Stroke Disparity Study (NIH/NIMHD 1R01MD012467). Dr Rundek is a PI for the Transition of Care Stroke Disparity Study (NIH/NIMHD 1R01MD012467). The remaining authors have no disclosures to report. Appendix S1. XXXX. Table S1. Risk Factors by Race/Ethnicity Among Patients Treated at CReSD Hospitals Table S2. Risk Factors by Race/Ethnicity Among Patients Treated at Non‐QI Hospitals Click here for additional data file.
  22 in total

1.  Disparities in stroke incidence contributing to disparities in stroke mortality.

Authors:  Virginia J Howard; Dawn O Kleindorfer; Suzanne E Judd; Leslie A McClure; Monika M Safford; J David Rhodes; Mary Cushman; Claudia S Moy; Elsayed Z Soliman; Brett M Kissela; George Howard
Journal:  Ann Neurol       Date:  2011-03-17       Impact factor: 10.422

2.  Ischemic stroke subtypes : a population-based study of functional outcome, survival, and recurrence.

Authors:  G W Petty; R D Brown; J P Whisnant; J D Sicks; W M O'Fallon; D O Wiebers
Journal:  Stroke       Date:  2000-05       Impact factor: 7.914

3.  Get With the Guidelines-Stroke is associated with sustained improvement in care for patients hospitalized with acute stroke or transient ischemic attack.

Authors:  Lee H Schwamm; Gregg C Fonarow; Mathew J Reeves; Wenqin Pan; Michael R Frankel; Eric E Smith; Gray Ellrodt; Christopher P Cannon; Li Liang; Eric Peterson; Kenneth A Labresh
Journal:  Circulation       Date:  2008-12-15       Impact factor: 29.690

4.  Recent racial/ethnic disparities in stroke hospitalizations and outcomes for young adults in Florida, 2001-2006.

Authors:  Elizabeth Barnett Pathak; Michael A Sloan
Journal:  Neuroepidemiology       Date:  2009-03-13       Impact factor: 3.282

5.  Persistent ischemic stroke disparities despite declining incidence in Mexican Americans.

Authors:  Lewis B Morgenstern; Melinda A Smith; Brisa N Sánchez; Devin L Brown; Darin B Zahuranec; Nelda Garcia; Kevin A Kerber; Lesli E Skolarus; William J Meurer; James F Burke; Eric E Adelman; Jonggyu Baek; Lynda D Lisabeth
Journal:  Ann Neurol       Date:  2013-08-13       Impact factor: 10.422

6.  Stroke Hospital Characteristics in the Florida-Puerto Rico Collaboration to Reduce Stroke Disparities Study.

Authors:  Maria A Ciliberti-Vargas; Hannah Gardener; Kefeng Wang; Chuanhui Dong; Li Yi; Jose G Romano; Mary Robichaux; Salina P Waddy; Ulises Nobo; Sandra Diaz-Acosta; Tatjana Rundek; Michael F Waters; Ralph L Sacco
Journal:  South Med J       Date:  2017-07       Impact factor: 0.954

7.  Association of Get With The Guidelines-Stroke Program Participation and Clinical Outcomes for Medicare Beneficiaries With Ischemic Stroke.

Authors:  Sarah Song; Gregg C Fonarow; DaiWai M Olson; Li Liang; Phillip J Schulte; Adrian F Hernandez; Eric D Peterson; Mathew J Reeves; Eric E Smith; Lee H Schwamm; Jeffrey L Saver
Journal:  Stroke       Date:  2016-04-14       Impact factor: 7.914

Review 8.  Early risk of recurrence by subtype of ischemic stroke in population-based incidence studies.

Authors:  J K Lovett; A J Coull; P M Rothwell
Journal:  Neurology       Date:  2004-02-24       Impact factor: 9.910

9.  Racial/Ethnic Disparities in Mortality Among Medicare Beneficiaries in the FL - PR CR eSD Study.

Authors:  Hannah Gardener; Erica C Leifheit; Judith H Lichtman; Yun Wang; Kefeng Wang; Carolina M Gutierrez; Maria A Ciliberti-Vargas; Chuanhui Dong; Sofia Oluwole; Mary Robichaux; Jose G Romano; Tatjana Rundek; Ralph L Sacco
Journal:  J Am Heart Assoc       Date:  2019-01-08       Impact factor: 5.501

10.  More accurate racial and ethnic codes for Medicare administrative data.

Authors:  Celia Eicheldinger; Arthur Bonito
Journal:  Health Care Financ Rev       Date:  2008
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1.  Approaches to Studying Determinants of Racial-Ethnic Disparities in Stroke and Its Sequelae.

Authors:  Mitchell S V Elkind; Lynda Lisabeth; Virginia J Howard; Dawn Kleindorfer; George Howard
Journal:  Stroke       Date:  2020-10-26       Impact factor: 7.914

2.  Adherence to Acute Care Measures Affects Mortality in Patients with Ischemic Stroke: The Florida Stroke Registry.

Authors:  Hannah Gardener; Tatjana Rundek; Judith Lichtman; Erica Leifheit; Kefeng Wang; Negar Asdaghi; Jose G Romano; Ralph L Sacco
Journal:  J Stroke Cerebrovasc Dis       Date:  2021-01-05       Impact factor: 2.136

3.  Racial/Ethnic Disparities in Mortality Among Medicare Beneficiaries in the FL - PR CR eSD Study.

Authors:  Hannah Gardener; Erica C Leifheit; Judith H Lichtman; Yun Wang; Kefeng Wang; Carolina M Gutierrez; Maria A Ciliberti-Vargas; Chuanhui Dong; Sofia Oluwole; Mary Robichaux; Jose G Romano; Tatjana Rundek; Ralph L Sacco
Journal:  J Am Heart Assoc       Date:  2019-01-08       Impact factor: 5.501

4.  Stroke Incidence and Survival in American Indians, Blacks, and Whites: The Strong Heart Study and Atherosclerosis Risk in Communities Study.

Authors:  Clemma J Muller; Alvaro Alonso; Jean Forster; David M Vock; Ying Zhang; Rebecca F Gottesman; Wayne Rosamond; W T Longstreth; Richard F MacLehose
Journal:  J Am Heart Assoc       Date:  2019-06-13       Impact factor: 5.501

5.  Biomarkers in Cardiovascular Disease: The Dilemma of Racial Differences.

Authors:  Toru Suzuki; Muhammad Zubair Israr; Andrea Salzano
Journal:  J Am Heart Assoc       Date:  2019-09-13       Impact factor: 5.501

6.  Thirty-six months recurrence after acute ischemic stroke among patients with comorbid type 2 diabetes: A nested case-control study.

Authors:  Lu Wang; Hongyun Li; Jiheng Hao; Chao Liu; Jiyue Wang; Jingjun Feng; Zheng Guo; Yulu Zheng; Yanbo Zhang; Hongxiang Li; Liyong Zhang; Haifeng Hou
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