Introduction: The electronic collection of patient data is used for a large variety of conditions. The boundaries of its use in initial diagnostics and the extent to which it can replace specialist contact, however, remain vague. Our newly developed virtual diagnostic process for common sleep disorders involves digital questionnaire administration, neurophysiological diagnostic studies, and virtual consultation with a sleep specialist. In this study, we evaluated patients' virtual diagnostic process experiences as part of a full evaluation of this process.
Methods: Patients who completed the virtual diagnostic process participated in online semi-structured interviews based on the following criteria: age ≥ 18 years, no obvious cognitive deficits, and access to the internet. Patients who did not complete the virtual diagnostic process were contacted by telephone and given the opportunity to explain why.
Results: Of the 24 patients included, 14 completed the virtual diagnostic process. Most participants understood the concept of the virtual diagnostic process, could navigate the process, and felt that the combined use of a questionnaire and virtual consultation was meaningful. Although participants could provide information as free text, the simplified closed questions, required for diagnostic classification, triggered feelings of insecurity and the inability to sufficiently describe symptoms, thereby evoking concern. All patients deemed the complementary personal contact important.
Discussion: The findings demonstrate that the virtual diagnostic process is feasible and highly accepted by most patients. However, (virtual) personal (telephone or video) contact is mandatory to address patients' concerns. The virtual diagnostic process application evaluated here likely represents the outer limit of the use of electronic data collection in virtual diagnostic procedures.
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http://dx.doi.org/10.1177/1357633X221149457 | DOI Listing |
Front Behav Neurosci
January 2025
Economic, Psychological and Communication Sciences Department, Niccolò Cusano University, Rome, Italy.
This mini-review examines the available papers about virtual reality (VR) as a tool for the diagnosis or therapy of neurodevelopmental disorders, focusing on Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), and Specific Learning Disorders (SLD). Through a search on literature, we selected 62 studies published between 1998 and 2024. After exclusion criteria, our synoptic table includes 32 studies on ADHD (17 were on diagnostic evaluation and 15 were on therapeutic interventions), 2 on pure ASD, and 2 on pure SLD.
View Article and Find Full Text PDFBMJ Nutr Prev Health
September 2024
Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Objectives: Disease-related malnutrition (DRM) presents in up to half of adults and one-third of children admitted to Canadian hospitals and significantly impacts health outcomes. Strategies to screen, diagnose and treat DRM exist but policy to facilitate implementation and sustainability are lacking. The purpose of this study was to explore gaps, opportunities, barriers and enablers for DRM policy in Canada.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Fundación INTRAS, Valladolid, Spain.
Background: This review explores the potential of virtual reality (VR) and artificial intelligence (AI) to identify preclinical cognitive markers of Alzheimer disease (AD). By synthesizing recent studies, it aims to advance early diagnostic methods to detect AD before significant symptoms occur.
Objective: Research emphasizes the significance of early detection in AD during the preclinical phase, which does not involve cognitive impairment but nevertheless requires reliable biomarkers.
BMC Cancer
January 2025
Peter MacCallum Cancer Centre, Parkville, Victoria, Australia.
Background: People with malignancy of undefined primary origin (MUO) have a poor prognosis and may undergo a protracted diagnostic workup causing patient distress and high cancer related costs. Not having a primary diagnosis limits timely site-specific treatment and access to precision medicine. There is a need to improve the diagnostic process, and healthcare delivery and support for these patients.
View Article and Find Full Text PDFEur Radiol Exp
January 2025
Department of Neuroradiology, University hospital RWTH Aachen, Aachen, Germany.
Background: To define optimal parameters for the evaluation of vessel visibility in intracranial stents (ICS) and flow diverters (FD) using photon-counting detector computed tomography angiography (PCD-CTA) with spectral reconstructions.
Methods: We retrospectively analyzed consecutive patients with implanted ICS or FD, who received a PCD-CTA between April 2023 and March 2024. Polyenergetic, virtual monoenergetic, pure lumen, and iodine reconstructions with different keV levels (40, 60, and 80) and reconstruction kernels (body vascular [Bv]48, Bv56, Bv64, Bv72, and Bv76) were evaluated by two radiologists with regions of interests and Likert scales.
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