Telehealth has emerged as a vital alternative to traditional healthcare delivery, particularly for rural and underserved populations. While efforts to enhance telehealth accessibility have primarily focused on technological solutions, the effectiveness of its telehealth and the role of physician training in bridging racial and ethnic disparities in telehealth usage remains underexplored. This study evaluates the impact of a trained-physician-delivered, age-friendly telehealth model on healthcare accessibility and outcomes. A retrospective analysis was conducted on 214 older patients (60+) at an urban primary care facility in Nevada, USA. Patients received telehealth services from either trained or non-trained physicians, with the trained group utilizing a 4M-based telehealth model focusing on Medication, Mentation, Mobility, and What Matters. Findings revealed lower exposure to both general and 4M-based telehealth among Hispanic and Asian patients compared to their white counterparts. Telehealth usage did not significantly reduce hospital or emergency department visits overall. However, certain types of 4M-based telehealth, such as What Matters and Medications, reduced hospital and ED visits. The development and implementation of telehealth education curricula for healthcare providers could make telehealth more accessible to minority patients, potentially reducing unnecessary emergency department visits and addressing disparities in telehealth access.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11403561 | PMC |
http://dx.doi.org/10.1177/23337214241277045 | DOI Listing |
Cureus
December 2024
College of Medicine, Jazan University, Jazan, SAU.
Overcrowding in emergency departments (EDs) is a global challenge, leading to prolonged waiting times and adverse patient outcomes. Telemedicine has emerged as a promising solution, enabling remote consultation, triage, and real-time specialist input. Despite its growing application, limited systematic research exists on its specific role in ED triage and care.
View Article and Find Full Text PDFDiabetes Metab Syndr Obes
January 2025
School of Marxism, Capital Normal University, Beijing, People's Republic of China.
With the aging of China's population and lifestyle changes, the number of patients with type 2 diabetes (T2D) has surged, posing a significant challenge to the public health system. This study explores the application and effectiveness of artificial intelligence (AI) technology in T2D management from a Chinese perspective. AI demonstrates substantial potential in personalized treatment planning, real-time monitoring and early warning, telemedicine, and health management.
View Article and Find Full Text PDFJACC Adv
January 2025
Department of Cardiology, University Heart Centre, University Hospital Zürich, Zürich, Switzerland.
Background: Patients in many underserved geographies lack access to invasive coronary angiography (ICA).
Objectives: This preclinical study explored the feasibility of telerobotic ICA between separate continents.
Methods: Using a novel robotic system, attempts were made to navigate a magnetic guidewire and diagnostic catheter from the aortic arch into a target coronary artery ostium in a fluid-filled cardiac model.
Digit Health
January 2025
Centre for Online Health, The University of Queensland, Brisbane, Australia.
Aim: To explore preferences, experience and trust in digital health in people living with chronic kidney disease (CKD), and tailor these findings towards solutions that may enhance uptake of digital health services.
Methods: Mixed methods study, with cross-sectional survey and individual interviews with adults living with CKD attending specialist appointments at an Australian metropolitan hospital. Descriptive statistics and Wilcoxon matched-pairs test were used for survey responses and thematic analysis of interview transcripts, both reported on a theme-by-theme basis provided an overall understanding of trust in digital healthcare.
Actas Esp Psiquiatr
January 2025
Institute of Psychological Medicine, Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal; Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), University of Coimbra, 3000-548 Coimbra, Portugal; Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, 3000-548 Coimbra, Portugal; Department of Psychiatry, Coimbra Hospital and University Centre, 3004-561 Coimbra, Portugal.
Background: The increasingly fast development of mobile health technologies holds significant value for individuals dealing with mental health conditions. However, inadequate consideration of patients' preferences and expectations undermines real-world outcomes, including sustained adherence. Driven by the belief that specific characteristics, such as youth and higher education, of individuals with obsessive-compulsive disorder make them suitable for digital adoption, we investigated mHealth-related desirability factors within this patient group.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!