Background: Widespread transmission of COVID-19 continues to threaten public health, particularly of rural, American Indian communities. Although COVID-19 risk factors for severe disease and clinical characteristics are well described in the general population, there has been little shared on hospitalized American Indian populations.
Methods: In this observational study, we performed chart extractions on all persons hospitalized with COVID-19 from April 1 through July 31, 2020 among an exclusively American Indian population living on or near Tribal lands in eastern Arizona. We provide descriptive statistics for the cohort stratified by presentation, comparing those who self-presented or were referred by an outreach program. Exploratory analyses were performed to identify risk factors for morbidity and mortality.
Results: During the observation period, 2262 persons were diagnosed with COVID-19 and 490 (22%) were hospitalized. Hospitalized persons had a median age of 54 years; 92% had at least one comorbidity, 72% had greater than one comorbidity, and 60% had a BMI of > 30. Most persons required supplemental oxygen (83%), but the majority (62%) only required nasal cannula and only 11% were intubated. The case fatality rates were 1.7% for the population, 7.1% among hospitalizations, and 9.3% among hospitalized patients 50 years and older. All rates that are significantly lower than those reported nationally during the same period.
Conclusions: We observed a cohort of American Indian patients hospitalized secondary to COVID-19 with greater number of comorbidities compared to the general population but with lower mortality rates. We posit that the primary driver of mortality reduction for this population and the hospitalized cohort was a community-based referral program that led to disproportionately lower fatality rates among the oldest persons.
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http://dx.doi.org/10.1186/s12889-024-18098-5 | DOI Listing |
BMC Med Inform Decis Mak
January 2025
Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Facultad de Odontología, Universidad de los Andes, Chile, Las Condes, Chile.
Introduction: Certain aspects of indigenous communities, such as cultural practices and access to care, have been discussed as potential determinants of oral health. However, research on this topic remains limited. Understanding the factors influencing oral health and their perceptions is crucial for developing culturally appropriate interventions.
View Article and Find Full Text PDFJ Gen Intern Med
January 2025
Program On Policy Evaluation and Learning in the Pacific Northwest, University of Washington, Seattle, WA, USA.
J Am Acad Orthop Surg Glob Res Rev
January 2025
From the Oakland University William Beaumont School of Medicine (Bitar, Zamzam, and Dr. Saleh), Rochester, MI; the Department of Orthopedic Surgery, University of Toledo Medical Center (Dr. Hasan), Toledo, OH; and Department of Orthopedic Surgery, Corewell Health (Dr. Saleh).
Background: Despite increasing diversity among medical students, pediatric orthopaedic surgery remains underrepresented regarding gender and ethnic diversity. Previous studies highlight notable underrepresentation of women and minorities in orthopaedic subspecialty fellowships.
Methods: This study analyzed data from 2013 to 2023 on pediatric orthopaedic surgery fellows, collected through the Accreditation Council for Graduate Medical Education and Graduate Medical Education Consensus.
J Prev Health Promot
September 2024
Montana State University, Bozeman, USA.
Complicated grief is both a cause and a consequence of health inequities in Native (American Indian/Alaska Native [AI/AN]) communities. Given disproportionately high rates of physical (e.g.
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