Journal: BMJ quality & safety
To determine the association of hospital nursing skill mix with patient mortality, patient ratings of their care and indicators of quality of care.
Studies finding higher mortality rates for patients admitted to hospital at weekends rely on routine administrative data to adjust for risk of death, but these data may not adequately capture severity of illness. We examined how rates of patient arrival at accident and emergency (A&E) departments by ambulance-a marker of illness severity-were associated with in-hospital mortality by day and time of attendance.
Problems of quality and safety persist in health systems worldwide. We conducted a large research programme to examine culture and behaviour in the English National Health Service (NHS).
The identification and articulation of programme theory can support effective design, execution and evaluation of quality improvement (QI) initiatives. Programme theory includes an agreed aim, potential interventions to achieve this aim, anticipated cause/effect relationships between the interventions and the aim and measures to monitor improvement. This paper outlines the approach used in a research and improvement programme to support QI initiatives in identifying and articulating programme theory: the action effect method.
Patient safety measurement remains a global challenge. Patients are an important but neglected source of learning; however, little is known about what patients can add to our understanding of safety. We sought to understand the incidence and nature of patient-reported safety concerns in hospital.
The UK Government has introduced several national policies to improve access to primary care. We examined associations between patient experience of general practice and rates of visits to accident and emergency (A&E) departments and emergency hospital admissions in England.
Little is known about patient/family comfort voicing care concerns in real time, especially in the intensive care unit (ICU) where stakes are high and time is compressed. Experts advocate patient and family engagement in safety, which will require that patients/families be able to voice concerns. Data on patient/family attitudes and experiences regarding speaking up are sparse, and mostly include reporting events retrospectively, rather than pre-emptively, to try to prevent harm. We aimed to (1) assess patient/family comfort speaking up about common ICU concerns; (2) identify patient/family-perceived barriers to speaking up; and (3) explore factors associated with patient/family comfort speaking up.
There is strong evidence to show that lower nurse staffing levels in hospitals are associated with worse patient outcomes. One hypothesised mechanism is the omission of necessary nursing care caused by time pressure-‘missed care’.
BACKGROUND: Interest in human factors has increased across healthcare communities and institutions as the value of human centred design in healthcare becomes increasingly clear. However, as human factors is becoming more prominent, there is growing evidence of confusion about human factors science, both anecdotally and in scientific literature. Some of the misconceptions about human factors may inadvertently create missed opportunities for healthcare improvement. METHODS: The objective of this article is to describe the scientific discipline of human factors and provide common ground for partnerships between healthcare and human factors communities. RESULTS: The primary goal of human factors science is to promote efficiency, safety and effectiveness by improving the design of technologies, processes and work systems. As described in this article, human factors also provides insight on when training is likely (or unlikely) to be effective for improving patient safety. Finally, we outline human factors specialty areas that may be particularly relevant for improving healthcare delivery and provide examples to demonstrate their value. CONCLUSIONS: The human factors concepts presented in this article may foster interdisciplinary collaborations to yield new, sustainable solutions for healthcare quality and patient safety.
Plan-do-study-act (PDSA) cycles provide a structure for iterative testing of changes to improve quality of systems. The method is widely accepted in healthcare improvement; however there is little overarching evaluation of how the method is applied. This paper proposes a theoretical framework for assessing the quality of application of PDSA cycles and explores the consistency with which the method has been applied in peer-reviewed literature against this framework.