Alongside concern about avoidable mortality, one of the key findings of the public enquiry into failings at Mid Staffordshire NHS Foundation Trust,1 which ran Stafford Hospital in England, was the ...

One of us was shown a letter received by a hospital infection control leader from the CEO congratulating her on an excellent monthly performance—for the previous month MRSA infections had decreased ...

Background Differences in contexts (eg, policies, healthcare organisation characteristics) may explain variations in the effects of patient safety practice (PSP) implementations. However, knowledge of ...

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 ...

More than 20 years since a landmark study1 documented hospitalised patients were more likely to die when their nurse cared for too many patients at a time, hundreds of rigorously conducted studies in ...

Background Voluntary assisted dying (VAD) in Victoria, Australia, is governed by a stringent legislative framework, designed and enforced by the state, as well as other forms of regulation. However, ...

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 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 ...

Objectives To assess whether, compared with previous years, hospital care became safer in 2011/2012, expressing itself in a fall in preventable adverse event (AE) rates alongside patient safety ...