This study examines the hypothesis that patients decide to remain committed to their primary care physicians (or to leave them and "doctor shop") primarily on the basis of the "socioemotional" aspects of the physicians' behavior. It was hypothesized that physicians' demonstrations of caring for patients as people and their openness of communication would be predictive of patient commitment to the therapeutic relationship, and that the physicians' competence and role performance (including thoroughness of information gathering) as perceived by patients would be less important. Interviews were conducted with 342 inpatients and ambulatory patients in a large urban community teaching hospital after a visit with one of 38 house officers in internal medicine. Each patient was asked to (a) rate his or her physician on nine performance variables, (b) indicate his or her intention to return to that physician in the future or seek a different one, and (c) state his or her education, occupation, age, and present illness condition. The physicians' socioemotional behavior (caring and openness to communication), as well as their accessibility, tended to weight heavily in patients' decisions to continue the physician-patient relationship. In addition, the importance of some specific physician behaviors (for example, the physician's willingness to explain the medical condition) varied among subpopulations of patients.
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Ann Intern Med
January 2025
Clinical Epidemiology and Research Center (CERC), Department of Biomedical Sciences, Humanitas University, and IRCCS Humanitas Research Hospital, Milan, Italy, and Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany (H.J.S.).
Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-to achieve specific goals." Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as "guideline enterprise." Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Psychological Institute and Network Aging Research, Heidelberg University, Heidelberg, Germany.
Background: Immersive virtual reality (iVR) has emerged as a training method to prepare medical first responders (MFRs) for mass casualty incidents (MCIs) and disasters in a resource-efficient, flexible, and safe manner. However, systematic evaluations and validations of potential performance indicators for virtual MCI training are still lacking.
Objective: This study aimed to investigate whether different performance indicators based on visual attention, triage performance, and information transmission can be effectively extended to MCI training in iVR by testing if they can discriminate between different levels of expertise.
PLoS One
January 2025
Department of Prosthodontics, Faculty of Dentistry, University of the Western Cape, Cape Town, South Africa.
Introduction: The global prevalence of antimicrobial resistance transcends geographical and economic boundaries, affecting populations worldwide. Excessive and incorrect use of antibiotics encourages antimicrobial resistance which leads to complex treatment strategies for infectious diseases and possible failure of treatment. The incorrect and unnecessary prescribing of antibiotics places a burden on healthcare costs and thus, antimicrobial resistance is evident globally as a major public health concern.
View Article and Find Full Text PDFSTAR Protoc
January 2025
Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA; Initiative for Columbia Ataxia and Tremor, Columbia University, New York, NY 10032, USA. Electronic address:
As Purkinje cells of the cerebellum have a very fast firing rate, techniques with high temporal resolution are required to capture cerebellar physiology. Here, we present a protocol to record physiological signals in humans using cerebellar electroencephalography (cEEG). We describe steps for electrode placement and recording.
View Article and Find Full Text PDFInt J Qual Health Care
January 2025
Faculdade de Medicina, Universidade de São Paulo (USP), Av. Dr. Arnaldo, 455 - Sala 4107, São Paulo, São Paulo 01246-903, Brazil.
Patients continue to suffer from preventable harm and uneven quality outcomes. Reliable clinical outcomes depend on the quality of robust administrative systems and reliable support processes. Critically ill patient handoffs from the operating room (OR) to the intensive care unit (ICU) are known to be high-risk events.
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