This study examined whether clinical experience moderates the relationship between three potential physician biases (patient characteristics; cancer-related beliefs, i.e., traditional and fatalistic beliefs; and attributed barriers to mammogram performance) and clinical decisions (recommending and discussing mammography with Arab women patients). A survey was conducted among 146 randomly sampled (cluster sampling) Arab physicians who serve the Arab population in Israel. We found that the least experienced physicians recommended and discussed mammography to a lesser extent than experienced doctors. Less experienced physicians were also less inclined to discuss and recommend mammography to women with specific characteristics (religious women, women with lower education levels, and women who expressed high fatalistic beliefs) and held significantly higher traditional beliefs concerning cancer. The correlation between patient characteristics and clinical decision making was both direct and moderated by clinical experience (stronger for the least experienced and moderately experienced physicians). Cancer-related beliefs had a direct negative effect on recommending and discussing mammography. The findings suggest that greater clinical experience with Arab women patients might reduce physician bias pertaining to patient characteristics among less experienced doctors who serve patients of the same ethnicity. Nonetheless, the findings imply that anti-stigma interventions should not rely on prolonged contact and should be implemented among all physicians, regardless of their clinical experience.
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http://dx.doi.org/10.1007/s40615-021-01008-5 | 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 Cancer
January 2025
Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
Objective: Rapid on-site evaluation (ROSE) of respiratory cytology specimens is a critical technique for accurate and timely diagnosis of lung cancer. However, in China, limited familiarity with the Diff-Quik staining method and a shortage of trained cytopathologists hamper utilization of ROSE. Therefore, developing an improved deep learning model to assist clinicians in promptly and accurately evaluating Diff-Quik stained cytology samples during ROSE has important clinical value.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
VA San Diego Healthcare System, 3350 La Jolla Village Dr., San Diego, CA, USA.
Background: 2022 survey data showed 29% of Veterans utilized Veterans Affairs (VA) paid health care at a non-VA facility, 6% higher than in 2021. Despite an increase in the number of Veterans accessing care in the community via the MISSION Act Community Care Program (CCP), there is limited information on the quality of mental health care delivered to Veterans in these settings. Further, Veterans report barriers to quality care, including poor communication between CCP and VA providers, which can result in negative patient outcomes.
View Article and Find Full Text PDFBMC Anesthesiol
January 2025
Department of Anesthesiology and Reanimation, Mardin Artuklu University School of Medicine, Diyarbakır Road, Artuklu, Mardin, 47100, Turkey.
Background: In medicine, Artificial intelligence has begun to be utilized in nearly every domain, from medical devices to the interpretation of imaging studies. There is still a need for more experience and more studies related to the comprehensive use of AI in medicine. The aim of the present study is to evaluate the ability of AI to make decisions regarding anesthesia methods and to compare the most popular AI programs from this perspective.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Department of Neurology, the First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, 518000, China.
In the modern medical education system, teaching of clinical neurology in outpatient settings is crucial for training future neurologists. The neurology outpatient clinic is a pivotal setting for both initial consultations and follow-up visits. It plays a significant role in the prevention, diagnosis, treatment, and ongoing monitoring of neurological disorders, and is a critical platform for clinical education.
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