Despite the association between polypharmacy and undesired health outcomes being well established, very little is known about epidemiology of polypharmacy in the African American community. We are not aware of any nationally representative studies that have described the socioeconomic, behavioral, and health determinants of polypharmacy among African Americans. We aimed to investigate the socioeconomic and health correlates of polypharmacy in a national sample of African American adults in the US. The National Survey of American Life (NSAL, 2003⁻2004) included 3,570 African American adults. Gender, age, socioeconomic status (SES; education attainment, poverty index, and marital status), access to the healthcare system (health insurance and having a usual source of care), and health (self-rated health [SRH], chronic medical disease, and psychiatric disorders) in addition to polypharmacy (5 + medications) as well as hyper-polypharmacy (10 + medications) were measured. Logistic regressions were applied for statistical analysis. that About 9% and 1% of all African American adults had polypharmacy and hyper-polypharmacy, respectively. Overall, higher age, higher SES (education and poverty index), and worse health (poor SRH, more chronic medical disease, and psychiatric disorders) were associated with polypharmacy and hyper-polypharmacy. Individuals with insurance and those with a routine place for healthcare also had higher odds of polypharmacy and hyper-polypharmacy. Given the health risks associated with polypharmacy, there is a need for systemic evaluation of medication use in older African Americans with multiple chronic conditions. Such policies may prevent medication errors and harmful drug interactions, however, they require effective strategies that are tailored to African Americans.
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http://dx.doi.org/10.3390/pharmacy7020033 | DOI Listing |
Proceedings (IEEE Int Conf Bioinformatics Biomed)
December 2024
Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, USA.
Lung cancer remains a predominant cause of cancer-related deaths, with notable disparities in incidence and outcomes across racial and gender groups. This study addresses these disparities by developing a computational framework leveraging explainable artificial intelligence (XAI) to identify both patient- and cohort-specific biomarker genes in lung cancer. Specifically, we focus on two lung cancer subtypes, Lung Adenocarcinoma (LUAD) and Lung Squamous Cell Carcinoma (LUSC), examining distinct racial and sex-specific cohorts: African American males (AAMs) and European American males (EAMs).
View Article and Find Full Text PDFFront Public Health
January 2025
Johns Hopkins University School of Nursing, Baltimore, MD, United States.
Background: Despite increased insurance coverage since 2010, racial and ethnic minorities in the United States still receive less medical care than White counterparts. The Johns Hopkins School of Nursing's Center for Community Programs, Innovation, and Scholarship (COMPASS Center) provides free wellness services, aiming to address healthcare disparities in the neighborhoods.
Objective: To delineate the types and cost of wellness services provided by the COMPASS Center.
Background: Polycystic ovary syndrome (PCOS) is a complex endocrinopathy, which leads to ovulation dysfunction and infertility, as well as metabolic and mental disorders. Women with PCOS exhibit several characteristic symptoms, with marked heterogeneity across different races and ethnicities.
Methods: In this review, the author outlines the phenotypic disparities of PCOS among various racial and ethnic populations.
JAAD Case Rep
February 2025
Dermatology Department, NYC Health + Hospital/Metropolitan, New York, New York.
Surg Pract Sci
March 2024
Department of Surgery, Division of Multiorgan Transplant and Hepatobiliary Surgery, University of Texas Medical Branch, 301 University Boulevard, Galveston, TX, 77555-0655, USA.
Introduction: In renal transplantation, donor hepatitis C virus (HCV) status is crucial to consider when selecting a recipient given the high likelihood of transmission. We analyzed the effect of donor HCV status on post-renal transplant rejection and virologic infectious outcomes using electronic health record data from multiple US health care organizations.
Methods: Using real world data from electronic health records of renal transplant recipients, a propensity score-matched case-control study of one-year renal transplant outcomes was conducted on cohorts of HCV-negative recipients who received an organ from an HCV-positive donor (HCV D+/R-) versus from an HCV-negative donor (HCV D-/R-).
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