J
Jonathan Benn
Researcher at University of Leeds
Publications - 49
Citations - 1636
Jonathan Benn is an academic researcher from University of Leeds. The author has contributed to research in topics: Health care & Patient safety. The author has an hindex of 19, co-authored 40 publications receiving 1415 citations. Previous affiliations of Jonathan Benn include National Patient Safety Foundation & Imperial College London.
Papers
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Journal ArticleDOI
Systematic review of the application of quality improvement methodologies from the manufacturing industry to surgical healthcare.
Christopher R. Nicolay,Sanjay Purkayastha,A Greenhalgh,Jonathan Benn,Sankalp Chaturvedi,Nelson Phillips,Ara Darzi +6 more
TL;DR: The aim of this systematic review was to identify and evaluate the application and effectiveness of quality improvement methodologies to the field of surgery.
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Feedback from incident reporting: information and action to improve patient safety
Jonathan Benn,Mary Koutantji,Louise M. Wallace,Peter Spurgeon,M. Rejman,Andrew N. Healey,Charles Vincent +6 more
TL;DR: The findings and implications of research to identify forms of effective feedback from incident reporting are discussed, to promote best practices in this area and establish best practices for feedback systems in healthcare that effectively close the safety loop.
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Improving decision making in multidisciplinary tumor boards: prospective longitudinal evaluation of a multicomponent intervention for 1,421 patients.
Benjamin W. Lamb,James S.A. Green,Jonathan Benn,Katrina F. Brown,Charles Vincent,Nick Sevdalis +5 more
TL;DR: A multicomponent intervention designed to improve the multidisciplinary tumor board-delivered treatment's ability to reach treatment decisions is efficacious and applicable to MTBs and can improve decision making and expedite cancer care.
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Studying large-scale programmes to improve patient safety in whole care systems: challenges for research.
TL;DR: The methodological approach to research in the United Kingdom Safer Patients Initiative is outlined, to exemplify how some of the challenges for research in this area can be met through a multi-method, longitudinal research design.
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Using quality indicators in anaesthesia: feeding back data to improve care
TL;DR: Considerable further work is needed to understand how information from quality indicators can be fed back in an effective way to clinicians and clinical units, in order to support revalidation and continuous improvement.