This study aimed to examine the effects of an animated Patient Decision Aid (PtDA) about dietary choices on decisional conflict and decision regret. A prospective, observational, two-group comparative effectiveness study was conducted with patients ( = 90) from a southern Taiwan oncology inpatient unit. Data included the Malnutrition Universal Screening Tool (MUST), laboratory results, 16-item Decisional Conflict Scale (sf-DCS), and 5-item Decision Regret Scale (DRSc). Data were collected at admission (T0), after the first-cycle of chemotherapy but before discharge (T1), and after the six-cycle chemotherapy protocol (T2) (around 3 months). Group A received standardized nutrition education and a printed brochure, while Group B watched a 10-minute information video during a one-on-one inpatient consultation and engaged in a values clarification exercise between T0 and T1. The percentage of women with a MUST score ≧1 in Group A sharply increased over time, but not in Group B. Decision aid usage significantly increased patients' hemoglobin and lymphocyte values over time ( < 0.05). The digital PtDA contributed to less decisional conflict and decision regret in at-risk patients and improved their nutritional well-being. Decision-aids help patients make healthcare decisions in line with their values, and are sustainable for use by busy clinicians.
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http://dx.doi.org/10.1080/01635581.2024.2307649 | DOI Listing |
Crit Care
January 2025
División de Terapia Intensiva, Hospital Juan A. Fernández, Buenos Aires, Argentina.
The advancements in cardiovascular imaging over the past two decades have been significant. The miniaturization of ultrasound devices has greatly contributed to their widespread adoption in operating rooms and intensive care units. The integration of AI-enabled tools has further transformed the field by simplifying echocardiographic evaluations and enhancing the reproducibility of hemodynamic measurements, even for less experienced operators.
View Article and Find Full Text PDFJCO Clin Cancer Inform
January 2025
Emory University School of Medicine, Atlanta, GA.
Purpose: Immune checkpoint inhibitors (ICIs) have demonstrated promise in the treatment of various cancers. Single-drug ICI therapy (immuno-oncology [IO] monotherapy) that targets PD-L1 is the standard of care in patients with advanced non-small cell lung cancer (NSCLC) with PD-L1 expression ≥50%. We sought to find out if a machine learning (ML) algorithm can perform better as a predictive biomarker than PD-L1 alone.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Dell Medical School at The University of Texas at Austin, Austin, TX, USA.
Background: Due to the shortage of healthcare professionals with expertise in diagnosis and treatment of Alzheimer disease and related dementias, there are long wait times to be evaluated in dementia specialty clinics and no clear guidance about how to allocate limited resources. The purpose of this study was to examine utility of cognitive screening measures administered by clinic staff to determine level of cognitive impairment to aid in decisions about which patients may benefit from full diagnostic services.
Methods: Participants were 169 older adults who completed an intake interview, including a brief cognitive screening test, conducted by a neuropsychologist at a dementia specialty clinic.
J Environ Sci Health A Tox Hazard Subst Environ Eng
January 2025
Department of Agricultural Sciences, Clemson University, Clemson, South Carolina, USA.
Bacterial source characterization and allocation are imperative to watershed planning and identifying best management practices. The Spatially Explicit Load Enrichment Calculation Tool (SELECT) has been extensively utilized in watershed protection plans to evaluate the potential bacteria loads and sources in impaired watersheds. However, collecting data, compiling inputs, and spatially mapping sources can be arduous, time-intensive, expensive, and iterative until potential bacteria loads are appropriately allocated to sources based on stakeholder recommendations.
View Article and Find Full Text PDFEur J Cardiovasc Nurs
January 2025
Department of Health, Medicine and Caring Sciences, Linköping University, Linköping SE-581 83, Sweden.
Thorough consideration of user experiences and the weighing of advantages and disadvantages are essential when implementing new technology in clinical practice. This article describes a primary care nurse's experience using two technologies to monitor lung congestion in six patient cases: a remote dielectric sensing device for non-invasive lung fluid measurement and a portable handheld ultrasound device. Both can support decision-making when assessing lung congestion in heart failure patients.
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