Objective: To explore pet owners' use of information and communication technologies (ICTs) during virtual veterinarian-client-patient consultations and to examine pet owners' attitudes toward virtual consultations.
Sample: 714 pet owners.
Methods: In an anonymous online survey distributed using snowball sampling, all participants were asked about utilization of ICTs, preferred method of interaction (face-to-face and 5 ICTs), opinion on virtual communication, and demographics. Sentiment toward virtual veterinarian consultations was measured for participants who had experienced a "virtual only" or "combination virtual and face-to-face" consultation in the previous 6 months using the Net Promoter Score. For these participants, multivariable logistic regression was used to explore factors associated with recommending virtual consultations.
Results: 92% (583/632) of participants resided in Ontario, Canada. Most (85.6% [611/714]) participants had experience using the telephone for veterinary care, while only 5.2% (37/714) had used live videoconferencing. Participants ranked face-to-face interactions as most preferred (P < .001), followed by telephone and then live videoconferencing. Participants were significantly (P < .001) less confident communicating during virtual consultations, particularly for building rapport. For participants experiencing a virtual consultation in the previous 6 months (n = 348), the overall Net Promoter Score was neutral at -1.43. Participants were divided about recommending virtual consultations, with 33.3% (116/348) being promoters and 34.8% (121/348) being detractors. Age of participant and comfort using videoconferencing were positively associated (P < .05) with recommending virtual consultations.
Clinical Relevance: Although participating pet owners significantly preferred face-to-face consultations with veterinarians, many appear willing to consider virtual consultations. Further exploration of pet owners' preferences and concerns around virtual care, including communication, is needed.
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http://dx.doi.org/10.2460/javma.23.02.0089 | DOI Listing |
Front Med (Lausanne)
December 2024
Division of Radiation Oncology, University of Montreal, Montreal, QC, Canada.
Mycosis fungoides (MF) is the most common type of cutaneous T-cell lymphoma (CTCL), representing the majority of all lymphomas arising in the skin. The disease treatment focuses on managing symptoms and preventing disease evolution. To date, there is no gold standard for MF-CTCL treatment.
View Article and Find Full Text PDFBMC Ophthalmol
December 2024
Genentech, Inc, South San Francisco, CA, USA.
Background: Intravitreal anti-vascular endothelial growth factor (VEGF) treatment for diabetic macular oedema (DME) may begin with several initial monthly doses. Characteristics, treatment patterns and outcomes were compared for eyes with DME that did and did not receive such initial doses.
Methods: This was a retrospective database study using American Academy of Ophthalmology Intelligent Research in Sight Registry data (01/01/15-31/12/20; index period).
Cureus
November 2024
Orthopaedics and Trauma, Russells Hall Hospital, Dudley, GBR.
Background/objective: Adequate postoperative analgesics are an essential element in the recovery and rehabilitation of large joint lower-limb arthroplasty patients in their acute postoperative phase. In this study, we will establish that strong opioids like morphine should be included as postoperative analgesics to improve patient satisfaction. Material: This retrospective cross-sectional study was conducted in the Arthroplasty Ward, Trauma, and Orthopaedics Department in a district general hospital of the United Kingdom.
View Article and Find Full Text PDFAcad Radiol
December 2024
Radiomics and Augmented Intelligence Laboratory (RAIL), Department of Radiology and the Norman Fixel Institute for Neurological Diseases, University of Florida College of Medicine, Gainesville, FL (M.H-S., H.S.S., A.G.R., S.E.M., J.C.P., E.Y.A., B.H., R.F.); Department of Radiology, University of Florida College of Medicine, Gainesville, FL (M.H-S., H.S.S., A.G.R., J.C.P., E.Y.A., B.H., R.F.); Division of Medical Physics, University of Florida College of Medicine, Gainesville, FL (R.F.); Department of Neurology, Division of Movement Disorders, University of Florida College of Medicine, Gainesville, FL (R.F.); Department of Otolaryngology - Head and Neck Surgery, McGill University, Montreal, Quebec, Canada (R.F.); Department of Radiology, AdventHealth Medical Group, Maitland, FL (R.F.). Electronic address:
Rationale And Objectives: To evaluate and compare image quality of different energy levels of virtual monochromatic images (VMIs) using standard versus strong deep learning spectral reconstruction (DLSR) on dual-energy CT pulmonary angiogram (DECT-PA).
Materials And Methods: A retrospective study was performed on 70 patients who underwent DECT-PA (15 PE present; 55 PE absent) scans. VMIs were reconstructed at different energy levels ranging from 35 to 200 keV using standard and strong levels with deep learning spectral reconstruction.
EBioMedicine
December 2024
Department of Anaesthesiology, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
Background: Clinical decision-making is increasingly shifting towards data-driven approaches and requires large databases to develop state-of-the-art algorithms for diagnosing, detecting and predicting diseases. The intensive care unit (ICU), a data-rich setting, faces challenges with high-frequency, unstructured monitor data. Here, we showcase a successful example of a data pipeline to efficiently move patient data to the cloud environment for structured storage.
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