scholarly journals Understanding Quality of Life in African Americans with Lupus (UQAN) in South Carolina

Author(s):  
Williams EM ◽  
Singleton T ◽  
Vrana C
2021 ◽  
pp. 014572172199628
Author(s):  
Jennifer A. Campbell ◽  
Alice Yan ◽  
Renee E. Walker ◽  
Lance Weinhardt ◽  
Yang Wang ◽  
...  

Purpose The purpose of this study is to examine the association of individual, community, and health system factors on quality of life among inner-city African Americans with type 2 diabetes. Methods Primary data from a cross-sectional study with a community sample of 241 inner-city African Americans with type 2 diabetes were analyzed. Paper-based surveys were administered in which the SF-12 was used to capture the physical component (PCS) and mental component (MCS) of quality of life. Four regression approaches (sequential, stepwise with backward and forward selection, and all possible subsets regression) were used to examine the influence of individual, community, and health system factors on PCS and MCS after adjusting for relevant covariates using a conceptual framework. Results In fully adjusted models, having less than a high school education and having major depression were associated with lower quality-of-life scores for MCS across all 4 regression approaches. Being employed was positively associated with better quality-of-life scores for PCS across all 4 regression approaches. PCS was higher across all 4 regression approaches for those reporting a history of trauma. At the health systems level, usual source of care was associated with better PCS across 3 regression approaches. Conclusions These results highlight key factors that influence quality of life among inner-city African Americans with type 2 diabetes that could be targets for interventions in this population. However, additional research is needed to understand existing pathways that may be driving many of these relationships.


Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Pratik Y Chhatbar ◽  
Jihad S Obeid ◽  
Yujing Zhao ◽  
Daniel T Lackland ◽  
Robert J Adams

Background: Readmissions after acute hospitalizations are a cause of both risk and expense, and many of them are potentially preventable. Importantly, risk-standardized hospital readmission rates are sometimes used as a yardstick of the quality of care offered. However, racial variability in readmissions might involve factors beyond quality of care and has not been studied extensively. Objective: To identify differences in readmissions between African Americans and other races and determine preventable readmissions from a pragmatic viewpoint. Methods: We obtained deidentified data from Medical University of South Carolina (MUSC) Electronic Data Warehouse (EDW) on adult admissions with index diagnosis considered as an ischemic stroke (or closely related) using International Classification of Diseases, Ninth Revision (ICD-9) codes 433.x, 434.x, 436.x, 437.x between January 2011 and June 2014. Of these, we determined readmission and reason for readmission over 90-day period. Readmission can be hospital or emergency room readmission. We obtained race as the only linked demographic. Results: Of the 1953 patients admitted with index diagnoses of stroke, 765 (39%), 1148 (59%) and 50 (1%) were African Americans, Caucasians and others, respectively. At 90-days, 256 patients were readmitted as in-patient, of which 128 (50%), 126 (49%) and 2 (1%) were African Americans, Caucasians and others, respectively. On the other hand, 241 patients visited Emergency Room, of which 175 (73%), 65 (26%) and 1 (1%) were African Americans, Caucasians and others, respectively. On adjusting readmissions to index admissions, 17%, 11% and 4% of African Americans, Caucasians and others, respectively, were readmitted in hospital, while 23%, 6% and 2% of African Americans, Caucasians and others, respectively, visited Emergency Room over 90-days period. Conclusions: 90-days readmission rates involve African Americans in a disproportionate manner. This demands further investigation on the etiology of readmission and the care offered.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Pratik Y Chhatbar ◽  
Jihad S Obeid ◽  
Daniel T Lackland ◽  
Suzanne P Burns ◽  
Joy N Buie ◽  
...  

Background: Readmissions after acute hospitalizations are a cause of both risk and expense, and many of them are potentially preventable. Importantly, risk-standardized hospital readmission rates are sometimes used as a yardstick of the quality of care offered. However, racial variability in readmissions might involve factors beyond quality of care and has not been studied extensively. During our pilot investigation using 90-day post-stroke readmissions data at Medical University of South Carolina (MUSC), we found significant disparities between African Americans and Caucasians. Objective: To identify differences in readmissions between African Americans and other races and determine preventable readmissions from a pragmatic viewpoint. Methods: We obtained deidentified data from Health Sciences South Carolina (HSSC) Clinical Data Warehouse (CDW). The data was comprised of three institutions: Medical University of South Carolina (MUSC), Palmetto Health and Greenville Hospital System University Medical Center. The data consisted of on adult admissions with index diagnosis considered as an ischemic stroke (or closely related) using International Classification of Diseases, Ninth and Tenth Revision (ICD-9, ICD-10) codes between January 2011 and April 2017. Of these, we will determine readmission and reason for readmission over 90-day period. Readmission can be hospital or emergency room readmission. Results: Our database contains 32,548 patients who have been provided clinical care for stroke. Out of these patients 8,308 (25.5%), 23,085 (70.9%) and 1,155 (3.5%) are African Americans, Caucasians and others, respectively. We will present weekly readmission trends over 90 days and evaluate if there are disparities across races. We will apply chi-square test and Student’s t-test to determine statistical significance. For weekly readmission trends over 90 days, we will apply Kolmogorov-Smirnov test to identify difference in readmission patterns across races. We will also identify confounders like socioeconomic status and age and their influence in the racial disparity. Conclusions: From a single center retrospective data, we found that 90-days readmission rates involve African Americans in a disproportionate manner. This multicenter data analysis will further shed light on the etiology of readmission, confounders and the care offered.


2000 ◽  
Vol 50 (4) ◽  
pp. 279-295 ◽  
Author(s):  
Virgil H. Adams ◽  
James S. Jackson

This study examined age differences between 1979–80 and 1992 in the quality of life of African Americans using panel data from the National Survey of Black Americans. Of particular interest was the role of the hope dimension of personal efficacy in accounting for variance in general well-being, beyond that contributed by social demographic and economic indicators. Hierarchical regression analyses revealed that hope and family satisfaction in 1980 consistently accounted for significant amounts of variance in general life satisfaction in the 1992 fourth wave of data among all three cohorts. For older respondents, increased frequency of contact with friends and family help were the most important contributors to high satisfaction. Across waves in all age cohorts family satisfaction and contact with friends were most important in contributing to life satisfaction. Implications for further research on well-being among African Americans were discussed.


2010 ◽  
Vol 19 (7) ◽  
pp. 1025-1033 ◽  
Author(s):  
Aluko A. Hope ◽  
Shiriki K. Kumanyika ◽  
Justine Shults ◽  
William C. Holmes

2004 ◽  
Vol 28 (5) ◽  
pp. 433-444 ◽  
Author(s):  
Lisa C. Campbell ◽  
Francis J. Keefe ◽  
Daphne C. McKee ◽  
Christopher L. Edwards ◽  
Steven H. Herman ◽  
...  

Author(s):  
Diamond Garcia ◽  
Jason Ledesma ◽  
Kristen Berube ◽  
Sarah Valdez ◽  
Eric Tamrazian ◽  
...  

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