Despite dealing with biomedical practices, infection prevention and control (IPC) is essentially a behavioural science. Human behaviour is influenced by various factors, including culture. Hofstede's model of cultural dimensions proposes that national cultures vary along consistent dimensions which can be grouped and scored as specific constructs. Studies have reported that three Hofstede constructs--power distance, uncertainty avoidance, and masculinity--show significant association with several key performance indicators relevant to IPC and antibiotic stewardship. In addition, national meticillin-resistant Staphylococcus aureus (MRSA) levels within Europe correlate well with general quality-of-care indices, including preventive strategies and patient rights. This suggests that IPC may be simply a microcosm of overall quality and safety standards within hospitals and countries. Effective improvement would therefore need to address underlying and embedded core cultural values relevant to patient safety and quality of care. Successful IPC strategies are likely to be those that are compatible with the cultural background where they are implemented. To this end, content analysis of many current IPC improvement tools identifies elements of strong compatibility with cultures that are low in uncertainty avoidance and power distance, and high in individualism and masculinity. However, this cultural combination is largely restricted to Anglo-Saxon countries, where most of the recent improvements in healthcare-associated infection (HCAI) incidence have taken place. There is a paucity of research on IPC behaviour change in different cultural backgrounds, especially countries that score high for power distance and/or uncertainty avoidance. This information is vital to inform IPC campaigns in these countries, which often show high HCAI prevalence.
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http://dx.doi.org/10.1016/j.jhin.2013.12.006 | DOI Listing |
Background: COVID-19 is a transmissible and infectious disease with symptoms similar to pneumonia, ranging from moderate to severe. This study investigated the psychological experiences of patients both during their illness and after their recovery.
Methods: The study employed purposive sampling and semi-structured interviews to gather insights from 13 COVID-19 survivors (7 women and 6 men).
ISA Trans
January 2025
School of Information Science and Technology, Beijing University of Technology, Beijing 100124, China. Electronic address:
This study endeavors to develop a predefined-time adaptive neural network decentralized controller for large-scale interconnected nonlinear systems with input hysteresis. Within the framework of the backstepping technique, the proposed control scheme guarantees that the tracking error converges to a small bounded set within a predefined settling time. The upper limit of this convergence time is determined by a single adjustable control parameter.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Care Ethics, University of Humanistic Studies, Utrecht, The Netherlands.
Background: People with the chronic disease Multiple Sclerosis are subjected to different degrees of profound uncertainty. Uncertainty has been linked to adverse psychological effects such as feelings of heightened vulnerability, avoidance of decision-making, fear, worry, anxiety disorders, and even depression. Research into Multiple Sclerosis has a predominant focus on the scientific, practical, and psychosocial issues of uncertainty.
View Article and Find Full Text PDFPan Afr Med J
January 2025
College of Medicine, Qatar University, Doha, Qatar.
Patient engagement and shared decision-making (SDM) between patients and clinicians is the foundation of patient-centered care. It aims to reach a treatment option that fits the patient's preference and is guideline-concordant. We sought to evaluate the possible causes and outcomes of patient's non-guideline-concordant care choices.
View Article and Find Full Text PDFSensors (Basel)
January 2025
InViLab, Department of Electromechanical Engineering, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium.
Laser-based systems, essential in diverse applications, demand accurate geometric calibration to ensure precise performance. The calibration process of the system requires establishing a reliable relationship between input parameters and the corresponding 3D description of the outgoing laser beams. The quality of the calibration depends on the quality of the dataset of measured laser lines.
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