Objective: Trust is an important aspect of physician-patient-interaction, both in terms of compliance and patient- and physician-reported outcomes. Trust-building communication is especially important in terms of severely injured patients because of severity of their injuries and frequently associated physical and psychological consequences. Patients preferences concerning medical treatment (patient type) is also regarded to be important in terms of trust. The objective of this study was to investigate the relationships between patients perceived trust, supportive communication of physicians and patient type of severely injured patients.
Methods: Seventy-one severely injured patients, who were predominantly injured in the workplace or in traffic accidents and were treated in one of four hospitals in Northrhine-Westfalia between 2001 and 2005, completed a self-administered questionnaire. "Trust in physicians_short form" (TRIP_sf) describes different aspects, such as general trust, competence of doctors and the feeling to be in good hands. "Informational support" and "emotional support" comprise verbal and non-verbal aspects, such as clear and understandable information or devotion and empathic manner. "Patient type" measures patients preferences in regard to paternalism of physician, clarification of medical facts and participation in treatment.
Results: Trust is strongly correlated with informational (.628**) and emotional support (.542**) and is less correlated with patients preferences of "paternalism" (.250*)", "clarification" (.438**) and participation" (.378**). Informational and emotional support are in general not significantly correlated with type of patient, all correlations were adjusted for age, gender, marital and socioeconomic status, length of hospital stay, and severity of injury.
Conclusions: Trust is significantly related to patient type but more related to doctor support: the results confirm the importance of supportive communication in terms of emotional and informational support.
Practice Implications: Medical education should integrate sound knowledge about the psychosocial aspects of physician patient interaction to enable doctors to provide effective social support and to identify and consider patients preferences.
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http://dx.doi.org/10.1016/j.pec.2008.03.016 | DOI Listing |
BMC Pharmacol Toxicol
January 2025
Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Objective: Cyclin-dependent kinase (CDK)-4/6 inhibitors have significantly improved outcomes in several cancers but can also induce various organ system toxicities, including musculoskeletal disorders. This study aimed to comprehensively characterize the musculoskeletal adverse events (MSAEs) associated with CDK4/6 inhibitors based on real-world data.
Methods: Reports of MSAEs linked to CDK4/6 inhibitors from the first quarter (Q1) of 2015 and 2023 Q4 were extracted from the FAERS.
Cancer Imaging
January 2025
Melbourne Theranostic Innovation Centre, Level 8, 14-20 Blackwood St, North Melbourne, VIC, 3051, Australia.
True total-body and extended axial field-of-view (AFOV) PET/CT with 1m or more of body coverage are now commercially available and dramatically increase system sensitivity over conventional AFOV PET/CT. The Siemens Biograph Vision Quadra (Quadra), with an AFOV of 106cm, potentially allows use of significantly lower administered radiopharmaceuticals as well as reduced scan times. The aim of this study was to optimise acquisition protocols for routine clinical imaging with FDG on the Quadra the prioritisation of reduced activity given physical infrastructure constraints in our facility.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA.
AI decision support systems can assist clinicians in planning adaptive treatment strategies that can dynamically react to individuals' cancer progression for effective personalized care. However, AI's imperfections can lead to suboptimal therapeutics if clinicians over or under rely on AI. To investigate such collaborative decision-making process, we conducted a Human-AI interaction study on response-adaptive radiotherapy for non-small cell lung cancer and hepatocellular carcinoma.
View Article and Find Full Text PDFInsights Imaging
January 2025
Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
Objectives: This article aims to evaluate the use and effects of an artificial intelligence system supporting a critical diagnostic task during radiology resident training, addressing a research gap in this field.
Materials And Methods: We involved eight residents evaluating 150 CXRs in three scenarios: no AI, on-demand AI, and integrated-AI. The considered task was the assessment of a multi-regional severity score of lung compromise in patients affected by COVID-19.
Evid Based Dent
January 2025
Division of Periodontics, Centre for Dental Education and Research, All India Institute of Medical Sciences, New Delhi, India.
Design: A triple-armed, double-blind randomized controlled trial with cross-over design investigated patient-reported satisfaction and objective dental evaluation of a 3-unit, monolithic zirconium dioxide (ZrO2), implant-supported fixed dental prosthesis (iFDP) fabricated with 2 completely digital workflows and 1 mixed analog-digital workflow.
Case Selection: Participants enrolled required rehabilitation of 2 dental implants in posterior region of either of the arches with a 3-unit, ZrO2 iFDP. A total of 20 participants received the 3 types of ZrO2, iFDP fabricated by 3 different methods.
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