Assessment of Turkish junior male physicians' exposure to mobbing behavior.

Croat Med J

Hacettepe University, Faculty of Economics and Administrative Sciences, Department of Healthcare Management, Beytepe Campus, 06100 Ankara, Turkey.

Published: August 2012

Aim: To determine the extent of Turkish junior male physicians' exposure to mobbing behavior and its correlation with physicians' characteristics.

Methods: The study included physicians recruited for compulsory military service in April 2009. No sampling method was used, questionnaires were delivered to all physicians, and 278 of 292 (95%) questionnaires were returned. We used Leymann Inventory of Psychological Terror including 45 items for data collection and structural equation model for data analysis.

Results: A total of 87.7% of physicians experienced mobbing behavior. Physicians who worked more than 40 hours a week, single physicians, physicians working in university hospitals and private hospitals, and physicians who did not have occupational commitment were more exposed to mobbing (P<0.05). Mobbing was not associated with specialty status, service period, age, and personality variables (P>0.05). All goodness-of- fit indices of the model were acceptable (χ(2)=1.449, normed fit index=0.955, Tucker Lewis index=0.980, comparative fit index=0.985, and root mean square error of approximation=0.040).

Conclusions: Workplace mobbing is a critical problem for junior male physicians in Turkey. We suggest an introduction of a reporting system and education activities for physicians in high-risk groups.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3428823PMC
http://dx.doi.org/10.3325/cmj.2012.53.357DOI Listing

Publication Analysis

Top Keywords

junior male
12
mobbing behavior
12
physicians
9
turkish junior
8
male physicians'
8
physicians' exposure
8
exposure mobbing
8
mobbing
5
assessment turkish
4
behavior aim
4

Similar Publications

Health literacy status and associated factors among residents in Anhui Province, China: a cross-sectional study.

Front Public Health

January 2025

Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.

Background: Health literacy (HL) is a critical determinant of health outcomes. Improving HL stands as one of the most essential, cost-effective, and efficacious strategies for enhancing the overall health of the population. This study aims to analyze the status of HL among urban and rural residents in Anhui Province, explore the associated factors, and provide a scientific basis for the formulation of targeted health education and promotion strategies.

View Article and Find Full Text PDF

Efforts to improve healthcare services have been ongoing, particularly in equipping emergency departments (EDs) to handle pediatric cases. However, many EDs continue to lack specialized equipment and adequately trained personnel, exposing children to significant health risks. This study aimed to identify self-reported barriers among emergency physicians in managing pediatric patients and assess their confidence levels in pediatric care.

View Article and Find Full Text PDF

Introduction: Iron-mediated cell death (ferroptosis) is a proposed mechanism of Alzheimer's disease (AD) pathology. While iron is essential for basic biological functions, its reactivity generates oxidants which contribute to cell damage and death.

Methods: To further resolve mechanisms of iron-mediated toxicity in AD, we analyzed post mortem human brain and ApoEFAD mice.

View Article and Find Full Text PDF

Background: Myelomeningocele (MMC) is the most common type of congenital spinal malformation, typically requiring surgical intervention. While prenatal repair is increasingly favored, postnatal repair remains the standard in many settings. This study aims to evaluate the antibiotics prescribed to neonates with MMC and their correlation with central nervous system (CNS) infection rates following postnatal surgical repair.

View Article and Find Full Text PDF

Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis.

J Med Internet Res

January 2025

Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.

Background: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accuracy of AI systems in identifying and measuring lung nodules on chest computed tomography (CT) scans remains unclear, which requires further evaluation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!