Black individuals with diabetes have high rates of emergency department (ED) use. This randomized controlled trial compared the efficacy of Diabetes Interprofessional Team to Enhance Adherence to Medical Care (DM I-TEAM) versus Usual Medical Care (UMC) to reduce number of return ED visits/hospitalizations over 12 months in 200 Black individuals with diabetes after an ED visit. DM I-TEAM consisted of community health worker-delivered diabetes education and behavior activation, telehealth visits with a diabetes nurse educator and primary care physicians, and clinical pharmacist recommendations to reduce potentially inappropriate medications (PIMs). Secondary outcomes included glycemic control, PIMs use, diabetes self-management, diabetes self-efficacy, depression, and medical trust. Participants had a mean age of 64.9 years and 73.0% were women. The 2 treatment groups were similar in baseline characteristics. Sixty-eight (69.4%) DM I-TEAM participants and 69 (67.6%) UMC participants had at least 1 incident ED visit/hospitalization over 12 months. The adjusted incidence rate ratio for DM I-TEAM versus UMC was 1.11 (95% confidence interval 0.79-1.56; = 0.54). DM I-TEAM participants attained significantly better diabetes self-management, diabetes self-efficacy, and institutional trust than UMC participants. There were no treatment group differences in hemoglobin A1c level nor PIMs use. Among Black individuals with diabetes, a novel culturally relevant intervention was no better than usual care at preventing return ED visits/hospitalizations over 1 year. Before reasonable clinical interventions such as DM I-TEAM can be effective, reducing system-level barriers to health, building community health care capacity, and designing interventions that better align with the everyday realities of patients' lives are necessary. clinicaltrials.gov NCT03393338.
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http://dx.doi.org/10.1089/pop.2022.0216 | 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 PDFBMC Public Health
January 2025
Sefako Makgatho University, Ground Floor, Clin Path Building, Room No. 37. Garankuwa, Pretoria, South Africa.
Background: Femicides, defined as the gender-based killing of women, are a pressing public health issue worldwide, with South Africa experiencing some of the highest rates globally. This study focuses on the North-west region of Tshwane, particularly the Garankuwa area, aiming to address gaps in understanding the epidemiology, demographics, circumstances, and pathology associated with femicides. The Garankuwa mortuary serves as the primary site for this investigation, providing a detailed analysis over a ten-year period, shedding light on contributing risk factors in the context of systemic gender inequality.
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.
J 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.
Sci Rep
January 2025
Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Kavli Institute for Nanoscience Discovery, Nuffield Department of Clinical Neurosciences, University of Oxford, Dorothy Crowfoot Hodgkin Building, South Parks Road, Oxford, OX1 3QU, UK.
The study of circadian rhythms has been critically dependent upon analysing mouse home cage activity, typically employing wheel running activity under different lighting conditions. Here we assess a novel method, the Digital Ventilated Cage (DVC, Tecniplast SpA, Italy), for circadian phenotyping. Based upon capacitive sensors mounted under black individually ventilated cages with inbuilt LED lighting, each cage becomes an independent light-controlled chamber.
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