qualitysafety.bmj13d
A realist review of how, why, for whom and in which contexts quality improvement in healthcare impacts inequalities
Introduction Quality improvement (QI) is aimed at improving care. Equity is one of the six domains of healthcare quality, as defined by the Institute of Medicine. If this domain is ignored, QI ...
qualitysafety.bmj5d
Table 3
At least one error at any stage 73.4 (54.4 to 89.7) No error made at any stage 26.6 (10.3 to 45.6) With error-checking at each stage At least one error at any stage ...
qualitysafety.bmj10d
Understanding patient safety during earthquakes: a phenomenological study of disaster response
Background Natural hazards, such as earthquakes, pose a significant risk to both the public and healthcare professionals, jeopardising patient safety due to the disruption of healthcare systems and ...
qualitysafety.bmj1d
Addressing the challenges of knowledge co-production in quality improvement: learning from the implementation of the researcher-in-residence model
The concept of knowledge co-production is used in health services research to describe partnerships (which can involve researchers, practitioners, managers, commissioners or service users) with the ...
qualitysafety.bmj2d
Grand rounds in methodology: key considerations for implementing machine learning solutions in quality improvement initiatives
Machine learning (ML) solutions are increasingly entering healthcare. They are complex, sociotechnical systems that include data inputs, ML models, technical infrastructure and human interactions.
qualitysafety.bmj2d
Measuring patient safety climate: a review of surveys
1 Department of Community and Family Medicine, Dartmouth Medical School, Hanover, NH, USA 2 Departments of Pediatrics and of Internal Medicine, Dartmouth Medical School, Hanover, NH, USA 3 Veterans ...
qualitysafety.bmj3d
Work system design for patient safety: the SEIPS model
1 Department of Industrial and Systems Engineering, College of Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA 2 Center for Quality and Productivity Improvement, College of ...
qualitysafety.bmj3d
International recommendations for a vascular access minimum dataset: a Delphi consensus-building study
Background Data regarding vascular access device use and outcomes are limited. In part, this gap reflects the absence of guidance on what variables should be collected to assess patient outcomes. We ...
qualitysafety.bmj3d
Finding patients before they crash: the next major opportunity to improve patient safety
Correspondence to Dr David W Bates, Division of General Internal Medicine, The Center for Patient Safety Research and Practice, Brigham and Women's Hospital, 1620 Tremont St, Boston, MA 2120, USA; ...
qualitysafety.bmj3d
A primer on PDSA: executing plan–do–study–act cycles in practice, not just in name
1 Centre for Quality Improvement and Patient Safety, University of Toronto, Toronto, Ontario, Canada Too often, however, improvement teams go through the motions of PDSA cycles without really ...
qualitysafety.bmj3d
Is there a ‘best measure’ of patient safety?
Correspondence to Dr Ann M Borzecki, Center for Healthcare Organization and Implementation Research, Bedford MA 01730, USA; amb{at}bu.edu Despite consensus that preventing patient safety events is ...