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BMJ Quality & Safety|May 13, 2022
Documenting the indication for antimicrobial prescribing: a scoping reviewSharon Saini, Valerie Leung, Elizabeth Si, et al.BMJ Quality & Safety|June 1, 2022
Outcome differences between surgeons performing first and subsequent coronary artery bypass grafting procedures in a day: a retrospective comparative cohort studyDanwei Zhang, Dachuan Gu, Chenfei Rao, et al.BMJ Quality & Safety|June 1, 2022
Striving for high reliability in healthcare: a qualitative study of the implementation of a hospital safety programmeLeahora Rotteau, Joanne Goldman, Kaveh G Shojania, et al.BMJ Quality & Safety|January 24, 2018
Symptom-Disease Pair Analysis of Diagnostic Error (SPADE): a conceptual framework and methodological approach for unearthing misdiagnosis-related harms using big dataAva L Liberman, David E Newman-TokerBMJ Quality & Safety|January 24, 2018
Patient experience of general practice and use of emergency hospital services in England: regression analysis of national cross-sectional time series dataThomas E Cowling, Azeem Majeed, Matthew J HarrisBMJ Quality & Safety|December 6, 2018
Nurse staffing, nursing assistants and hospital mortality: retrospective longitudinal cohort studyPeter Griffiths, Antonello Maruotti, Alejandra Recio Saucedo, et al.BMJ Quality & Safety|March 21, 2018
Can first-year medical students acquire quality improvement knowledge prior to substantial clinical exposure? A mixed-methods evaluation of a pre-clerkship curriculum that uses education as the context for learningAllison Brown, Aditya Nidumolu, Alexandra Stanhope, et al.BMJ Quality & Safety|February 8, 2020
De-implementing wisely: developing the evidence base to reduce low-value careJeremy M Grimshaw, Andrea M Patey, Kyle R Kirkham, et al.BMJ Quality & Safety|January 25, 2020
Novel quality improvement method to reduce cost while improving the quality of patient care: retrospective observational studyKedar S Mate, Jeffrey Rakover, Kay Cordiner, et al.BMJ Quality & Safety|April 10, 2015
The PRONE score: an algorithm for predicting doctors' risks of formal patient complaints using routinely collected administrative dataMatthew J Spittal, Marie M Bismark, David M StuddertPageof 150