Background: Although an emphasis has been placed on protecting patients by improving health care worker compliance with infection control techniques, challenges associated with patient isolation do exist. To address these issues, a more consistent mechanism to evaluate specific clinical behaviors safely is needed.
Methods: The research method described in this study used a high fidelity simulation using a live standardized patient recorded by small cameras. Immediately after the simulation experience, nurses were asked to view and comment on their performance. A demographic survey and a video recorded physical evaluation provided participant description. A questionnaire component 1 month after the simulation experience offered insight into the timing of behavior change in clinical practice.
Results: Errors in behaviors related to donning and doffing equipment for isolation care were noted among the nurses in the study despite knowing they were being video recorded. This simulation-based approach to clinical behavior analysis provided rich data on patient care delivery.
Conclusion: Standard educational techniques have not led to ideal compliance, and this study demonstrated the potential for using video feedback to enhance learning and ultimately reduce behaviors, which routinely increase the likelihood of disease transmission. This educational research method could be applied to many complicated clinical skills.
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http://dx.doi.org/10.1016/j.ajic.2014.08.001 | DOI Listing |
Infect Dis Ther
December 2024
Department of Respiratory Medicine, The First Affiliated Hospital of Wannan Medical College, No 2 Zheshan West Road, Wuhu, 241000, Anhui, China.
Introduction: Stenotrophomonas maltophilia is an opportunistic pathogen associated with various nosocomial infections and is known for its intrinsic multidrug resistance. This study aims to provide a comprehensive overview of the epidemiology and resistance patterns of S. maltophilia in China from 2014 to 2021.
View Article and Find Full Text PDFScand J Occup Ther
January 2025
Department of Health Sciences, Mental Health, Activity and Participation (MAP), Lund University, Lund, Sweden.
Background: Existing research has shown that those ageing with severe mental illness face significant challenges in daily life. Attendance at community-based day centres (DCs) is offered to support daily structure and break isolation. However, little is known about the experiences of those receiving this type of support while transitioning into retirement age.
View Article and Find Full Text PDFMalays J Pathol
December 2024
Tengku Ampuan Rahimah Hospital, Department of Paediatrics, Ministry of Health, Klang, Selangor, Malaysia.
Introduction: To determine the epidemiology of blood culture-positive late-onset sepsis (LOS, >72 hours of age) in 44 Malaysian neonatal intensive care units (NICUs).
Materials And Methods: Study Design: Multicentre retrospective observational study using data from the Malaysian National Neonatal Registry.
Participants: 739486 neonates (birthweight ≥500g, gestation ≥22 weeks) born and admitted in 2015-2020.
Syst Rev
December 2024
Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Metagenomic next-generation sequencing (mNGS) has emerged as a promising tool in clinical practice due to its unbiased approach to pathogen detection. Its diagnostic performance in pulmonary tuberculosis (PTB), however, remains to be fully evaluated.
Objective: This study aims to systematically review and Meta-analyze the diagnostic accuracy of mNGS in patients with PTB.
BMC Infect Dis
December 2024
Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zürich, Zurich, 8097, Switzerland.
Introduction: The ability to detect pathogenic bacteria before the onsets of severe respiratory symptoms and to differentiate bacterial infection allows to improve patient-tailored treatment leading to a significant reduction in illness severity, comorbidity as well as antibiotic resistance. As such, this study refines the application of the non-invasive Secondary Electrospray Ionization-High Resolution Mass Spectrometry (SESI-HRMS) methodology for real-time and early detection of human respiratory bacterial pathogens in the respiratory tract of a mouse infection model.
Methods: A real-time analysis of changes in volatile metabolites excreted by mice undergoing a lung infection by Staphylococcus aureus or Streptococcus pneumoniae were evaluated using a SESI-HRMS instrument.
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