Objective Overconfidence is an important source of medical error. This review analyses experimental studies of confidence in ...

Objectives The aim of this article is to provide an estimate of the proportion of the general public reporting healthcare-related harm in Great Britain, its location, impact, responses post-harm and ...

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 ...

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 ...

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Centre for Safety Research, Department of Psychology, Leiden University, Leiden, Netherlands Correspondence to: P Hudson Centre for Safety Research, Department of Psychology, Leiden University, Leiden ...

Background Surgical complications represent a significant cause of morbidity and mortality with the rate of major complications after inpatient surgery estimated at 3–17% in industrialised countries.

Correspondence to Dr Daren K Heyland, Medicine and Community Health and Epidemiology, Queen's University, Kingston General Hospital, Angada 4, 76 Stuart St, Kingston, ON, Canada K7L 2V7; ...

Introduction: Care home residents are at particular risk from medication errors, and our objective was to determine the prevalence and potential harm of prescribing, monitoring, dispensing and ...

Evaluating the effects of increasing nursing numbers on quality of newborn care in understaffed neonatal units in Kenya: a prospective intervention study ...

Background Patient complaints are associated with adverse events and malpractice claims but underused in patient safety improvement. Objective To systematically evaluate the use of patient complaint ...

Objective Hospital care comprises nearly a third of US healthcare expenditures. Fifteen to 20 per cent of this spending is considered to be potentially preventable. Risk prediction models have ...