Background: Self-care and patient engagement are important elements of heart failure (HF) care, endorsed in the guidelines. Digital health tools may improve quality of life (QOL) in HF patients by promoting care, knowledge, and engagement. This manuscript describes the rationale and challenges of the design and implementation of a pragmatic randomized controlled trial to evaluate the efficacy of three digital health technologies in improving QOL for patients with HF.
Hypothesis: We hypothesize that digital health interventions will improve QOL of HF patients through the early detection of warning signs of disease exacerbation, the opportunity of self-tracking symptoms, and the education provided, which enhances patient empowerment.
Methods: Using a fully electronic enrollment and consent platform, the trial will randomize 200 patients across HF clinics in the Yale New Haven Health system to receive either usual care or one of three digital technologies designed to promote self-management and provide critical data to clinicians. The primary outcome is the change in QOL as assessed by the Kansas City Cardiomyopathy Questionnaire at 3 months.
Results: First enrollment occurred in September 2021. Recruitment was anticipated to last 6-8 months and participants were followed for 6 months after randomization. Our recruitment efforts have highlighted the large digital divide in our population of interest.
Conclusion: Assessing clinical outcomes, patient usability, and ease of clinical integration of digital technologies will be beneficial in determining the feasibility of the integration of such technologies into the healthcare system.
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http://dx.doi.org/10.1002/clc.23848 | DOI Listing |
J Orthop Surg Res
January 2025
Center of Medical Genetics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Background: Delta large-channel endoscopy and unilateral biportal endoscopy (UBE) are prominent minimally invasive techniques for treating lumbar spinal stenosis, known for minimal tissue damage, clear visualization, and quick recovery. However, rigorous controlled research comparing these procedures is scarce, necessitating further investigation into their respective complications and long-term effectiveness. This randomized controlled trial aims to compare their perioperative outcomes, focusing on postoperative recovery and complications over time.
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January 2025
Digital Health Africa, Abuja, Nigeria.
BMC Cancer
January 2025
Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Objective: Rapid on-site evaluation (ROSE) of respiratory cytology specimens is a critical technique for accurate and timely diagnosis of lung cancer. However, in China, limited familiarity with the Diff-Quik staining method and a shortage of trained cytopathologists hamper utilization of ROSE. Therefore, developing an improved deep learning model to assist clinicians in promptly and accurately evaluating Diff-Quik stained cytology samples during ROSE has important clinical value.
View Article and Find Full Text PDFBMC Med Educ
January 2025
School of Nursing, Xiangnan University, 889 Chenzhou Avenue, Suxian District, Chenzhou, 423000, Hunan, People's Republic of China.
Background: In the backdrop of the ongoing global digital revolution in education, the digital literacy of teachers stands out as a pivotal determinant within the educational milieu. This study aims to explore the current status and associated factors of digital literacy among academic nurse educators.
Methods: A cross-sectional design study utilizing an online questionnaire platform (Wenjuanxing) to collect data from August to October 2023.
BMC Public Health
January 2025
Murdoch Children's Research Institute, 50 Flemington Road, Parkville, VIC, 3052, Australia.
Background: In a world confronted with new and connected challenges, novel strategies are needed to help children and adults achieve their full potential, to predict, prevent and treat disease, and to achieve equity in services and outcomes. Australia's Generation Victoria (GenV) cohorts are designed for multi-pronged discovery (what could improve outcomes?) and intervention research (what actually works, how much and for whom?). Here, we describe the key features of its protocol.
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