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Objectives To document the burden of in-hospital falls and fractures, and to identify factors that may increase the risk of these events. Design A retrospective cohort analysis Setting The study was ...
Background Literature depicts differences in ethical decision-making (EDM) between countries and intensive care units (ICU). Objectives To better conceptualise EDM climate in the ICU and to validate a ...
Purpose Misgendering of transgender and non-binary (TGNB) individuals in healthcare settings can lead to worsened mental and physical health outcomes and decreased utilisation of care. Few studies ...
Choosing Wisely (CW) identifies low-value, wasteful medical interventions whose elimination increases the quality of care and likely reduces its costs.1 Since its launch in 2012, this grassroot ...
Objectives To capture experiences of people self-reporting harm and contrast responses and actions between those who do or do not take formal action. Design Semi-structured qualitative interview study ...
Background Healthcare patient safety investigations inappropriately focus on individual culpability and the target of recommendations is often on the behaviours of individuals, rather than addressing ...
Introduction There is a growing awareness today that adverse events in the intensive care unit (ICU) are more often caused by problems related to non-technical skills than by a lack of technical, or ...
The continued use of low-value cancer screening practices not only represents healthcare waste but also a potential cascade of invasive diagnostic procedures and patient anxiety and distress. While ...
‘We need bold, fundamental change that gets at the roots of the burnout crisis.’ - US Surgeon General Vivek H. Murthy, MD, MBA. Well-being was brought into clearer focus during the COVID-19 pandemic, ...
This May, the World Health Assembly (WHA) will vote on re-establishing a mandate for the WHO to address the health consequences of nuclear weapons and war.1 Health professionals and their associations ...
The emergency department (ED) abounds with hazards that might lead to adverse events (AEs). Clinicians must make frequent, high-consequence decisions with high diagnostic uncertainty as part of ad hoc ...
Sepsis remains a leading cause of morbidity and mortality worldwide.1 The use of artificial intelligence (AI), and particularly machine-learning (ML) approaches, to predict which patients are at risk ...
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