Introduction: In general, racial and ethnic differences exist in antipsychotic prescription practices. However, little is known about such differences between individual long-acting injectable (LAI) antipsychotic formulations, specifically. This study's primary objective was to determine racial and ethnic differences among LAI antipsychotic use. Secondary objectives were to identify if discontinuation rates differed between agents and by race or ethnicity.
Methods: International Classification of Diseases, 10th edition (ICD-10) codes were used to identify patients with schizophrenia and related disorders (18-64 years) who received an LAI antipsychotic between 2016 and 2020 using Merative Multi-State Medicaid databases. Using National Drug Code numbers for LAI antipsychotics, pharmacy claims were identified and data analyzed. Cochran-Mantel-Haenszel tests and odds ratio estimators were used to investigate conditional association between race or ethnicity and medication, while controlling for age, sex, health plan, and prescription year. Kaplan-Meier survival curves were examined, and stratified log-rank tests were conducted to compare the time until discontinuation distributions by race or ethnicity.
Results: The analysis included 37 712 patients. Blacks received an LAI first-generation antipsychotic more often than Whites (OR: 1.64, 95% CI: [1.56, 1.73], Hispanics (OR: 1.46, 95% CI: [1.21, 1.75]) and others (OR: 1.44, 95% CI: [1.20, 1.73]). Aside from fluphenazine decanoate showing earlier discontinuation rates for Whites over Blacks ( = .02), no significant differences in discontinuation across race or ethnicity were identified.
Discussion: Despite no significant differences in second-generation antipsychotic LAI discontinuation rates between Blacks and other racial or ethnic groups, Blacks received second-generation antipsychotic LAIs significantly less often than other groups. Further studies are needed to determine why differences may be occurring.
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http://dx.doi.org/10.9740/mhc.2023.08.183 | DOI Listing |
BMC Public Health
January 2025
Faculty of Social Work, University of Toronto, 246 Bloor St W, Toronto, ON, M5S 1V4, Canada.
Background: Loneliness is a public health epidemic in the United States (US), with older adults being vulnerable to experiencing loneliness. Predictors of loneliness are less understood among racial/ethnic groups of US older adults, and few studies have included perceived institutional discrimination (PID), stressful life events (SLE), and perceived neighborhood characteristics (PNC) as antecedent stressors of loneliness in diverse older adult samples. Our study assessed the relationship between these stressors and loneliness among specific racial/ethnic groups of older adults.
View Article and Find Full Text PDFMatern Child Health J
January 2025
College of Nursing, University of Rhode Island, 350 Eddy St, Providence, RI, 02903, USA.
Objectives: This study examines the associations between race and ethnicity and receipt of Baby Friendly Hospital Initiative (BFHI) key clinical practices that support breastfeeding in US hospitals.
Methods: National data from 2016 to 2019 CDC PRAMS were analyzed. Our sample included 60,395 mothers who initiated breastfeeding with healthy, term newborns.
Dermatol Ther (Heidelb)
January 2025
Burkhart Pediatric and Adolescent Dermatology, Cary, NC, USA.
Objectives: Allergic contact dermatitis occurs frequently in children. The proportion of children of color in the US is increasing, and racial and ethnic minority representation is important in pediatric allergic contact dermatitis research. The objectives of our study were to identify differences in age, sex, race and ethnicity among pediatric patch tests obtained from 2017 to 2022.
View Article and Find Full Text PDFJ Racial Ethn Health Disparities
January 2025
Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Context: To evaluate algorithmic fairness in low birthweight predictive models.
Study Design: This study analyzed insurance claims (n = 9,990,990; 2013-2021) linked with birth certificates (n = 173,035; 2014-2021) from the Arkansas All Payers Claims Database (APCD).
Methods: Low birthweight (< 2500 g) predictive models included four approaches (logistic, elastic net, linear discriminate analysis, and gradient boosting machines [GMB]) with and without racial/ethnic information.
Patients that survive firearm injuries frequently require follow-up care. This study aims to explore demographic characteristics of patients presenting to the emergency department for post-firearm injury care and to understand the reasons for their return visits. This was a retrospective chart review of all emergency department and readmission patient encounters for post-firearm injury care during the study period, January 1, 2019 to December 31, 2022, at an urban safety net hospital.
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