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http://dx.doi.org/10.3238/arztebl.m2022.0209 | DOI Listing |
BMC Psychiatry
January 2025
Department of Psychology, Faculty of Education Sciences and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran.
Backgrounds: Dissociative experiences are described as crucial psychological mechanisms involving the organism's responses to severe psychological traumas and unpleasant past experiences. This research was conducted to examine the psychometric properties of the Dissociative Experiences Measure, Oxford (DEMO) in the Iranian general population.
Methods: This study used cross-sectional correlation, and the statistical population consisted of Iranians over 15 years old.
BMC Health Serv Res
January 2025
Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine,, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
The primary objective of this study was to perform a psychometric evaluation of the Persian adaptation of the Assessment of Interprofessional Team Collaboration Scale (P-AITCS-II). This methodological study aimed to assess the validity and reliability of the AITCS-II for practitioners within the Iranian healthcare context. Data were collected from a sample of 230 Iranian healthcare providers between May and June 2024.
View Article and Find Full Text PDFSci Rep
January 2025
Department of urinary surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan, China.
Alexithymia, a cognitive and emotional deficit characterized by difficulty in expressing emotions and identifying feelings, poses significant challenges in healthcare settings. Developing a reliable and valid tool to measure alexithymia in post-prostatectomy patients would not only aid healthcare professionals in identifying at-risk individuals but also facilitate early intervention and targeted support. This study aimed to translate the Brief Form of the Normative Male Alexithymia Scale (NMAS-BF) into Simplified Chinese, evaluate the reliability and validity of the Chinese version, and explore its influencing factors.
View Article and Find Full Text PDFJMIR Form Res
December 2024
Pharmacy Department, Gold Coast Hospital and Health Service, Southport, Australia.
Background: Artificial intelligence (AI) has the potential to address growing logistical and economic pressures on the health care system by reducing risk, increasing productivity, and improving patient safety; however, implementing digital health technologies can be disruptive. Workforce perception is a powerful indicator of technology use and acceptance, however, there is little research available on the perceptions of allied health professionals (AHPs) toward AI in health care.
Objective: This study aimed to explore AHP perceptions of AI and the opportunities and challenges for its use in health care delivery.
Heart Lung
January 2025
Department of Radiology, Rehabilitation and Physiotherapy, Faculty of Nursing, Physiotherapy and Podiatry, Complutense University of Madrid, Madrid, Spain; Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain. Electronic address:
Background: Fatigue is one of the most limiting symptoms in individuals with heart disease (HD). However, valid and reliable instruments for assessing fatigue in clinical practice still need to be improved.
Objective: To assess the dimensional structure of the self-reported Spanish Multidimensional Fatigue Inventory (MFI) and analyze its psychometric properties in individuals with HD.
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