Publications by authors named "J Tim Hoffman"
Background: Currently, there is no mathematical model used nationally to determine the medical urgency of patients on the heart transplant waitlist in the United States. While the current organ distribution system accounts for many patient factors, a truly objective model is needed to more reliably stratify patients by their medical acuity.
Objectives: The aim of the study was to develop risk scores (Colorado Heart failure Acuity Risk Model [CHARM] score) to predict mortality in adults waitlisted for heart transplant.
Background: Artificial intelligence (AI) has the potential to address growing logistical and economic pressures on the health care system by reducing risk, increasing productivity, and improving patient safety; however, implementing digital health technologies can be disruptive. Workforce perception is a powerful indicator of technology use and acceptance, however, there is little research available on the perceptions of allied health professionals (AHPs) toward AI in health care.
Objective: This study aimed to explore AHP perceptions of AI and the opportunities and challenges for its use in health care delivery.
Objective: To determine whether there are differences in healthcare utilization for chronic pain based on location (rural vs urban/suburban) or healthcare system (civilians vs Military Service Members and Veterans [SMVs]) after moderate-severe TBI.
Setting: Eighteen Traumatic Brain Injury Model Systems (TBIMS) Centers.
Participants: A total of 1,741 TBIMS participants 1 to 30 years post-injury reporting chronic pain at their most recent follow-up interview.
Purpose: This study examined the effect of resistance training (RT) by itself and in combination with supraphysiological administration of nandrolone decanoate (ND) on the inflammatory, apoptotic, and oxidative stress response in cardiac tissue. The effect of the training and androgen intervention on adiponectin expression, a potential cardio protectant was also examined.
Methods: Forty male C57Bl/6J mice, 3 months of age were randomized into four groups (n = 10 per group).
Older women's well-being during the COVID-19 pandemic: individual, community, and contextual factors.
Front Glob Womens Health
December 2024
Objective: This article aims to examine the influence of individual and community-contextual factors on the well-being of older women in Zambia during the COVID-19 pandemic, drawing on Bronfenbrenner's process-person-context-time model.
Methods: Secondary data from the nationally representative 2021 SEIA were used, and bivariate and logistic regression analyses were performed to determine factors associated with the well-being of older women during the COVID-19 pandemic.
Results: Overall, 29% (613) of older women reported a decline in their well-being due to COVID-19.