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http://dx.doi.org/10.1200/JCO.23.00608 | DOI Listing |
BMC Med Educ
January 2025
Research Center for Environmental Determinants of Health, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Aims: This study evaluates both financial and non-financial preferences of nursing students to choose a hospital for work in future.
Background: In Iran's healthcare system, the persistent shortage and uneven distribution of nurses have been significant challenges. Addressing such issues requires attention to nurses' preferences, which can be instrumental in designing effective interventions.
JMIR Med Educ
December 2024
Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States.
Background: Virtual reality (VR) technologies have demonstrated therapeutic usefulness across a variety of health care settings. However, graduate medical education (GME) trainee perspectives on VR acceptability and usability are limited. The behavioral intentions of GME trainees with regard to VR as an anxiolytic tool have not been characterized through a theoretical framework of technology adoption.
View Article and Find Full Text PDFBMC Psychol
December 2024
School of Nursing, Guangzhou University of Chinese Medicine, Guangzhou, 510006, China.
Purpose: This study aimed to identify social isolation latent profiles and analyze the specific mechanisms in which social support, resilience, and posttraumatic growth associated social isolation from the perspective of positive psychology. Suggestions were offered to improve the mental health status of postoperative enterostomy patients with colorectal cancer.
Methods: This was a cross-sectional survey.
BMJ Open
December 2024
Stomatologic Hospital & College, Key Lab of Oral Diseases Research of Anhui Province, Anhui Medical University, Hefei, Anhui, China
Objectives: The objective of this study is to analyse the preferences of guardians of school-aged children for children's caries prevention services (CPS) and their willingness to pay (WTP) for different levels of attributes.
Design: Four key attributes were identified through a literature review and expert consultations: preventive service time, preventive effectiveness, distance (driving time to service institution) and service cost (out-of-pocket for CPS). A D-efficient design was used to create a discrete choice experiment questionnaire, and data were collected via face-to-face interviews.
Risk Anal
December 2024
University of Liverpool Management School, University of Liverpool, Liverpool, UK.
Advances in artificial intelligence (AI) are reshaping mobility through autonomous vehicles (AVs), which may introduce risks such as technical malfunctions, cybersecurity threats, and ethical dilemmas in decision-making. Despite these complexities, the influence of consumers' risk preferences on AV acceptance remains poorly understood. This study explores how individuals' risk preferences affect their choices among private AVs (PAVs), shared AVs (SAVs), and private conventional vehicles (PCVs).
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