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    Objectives To evaluate whether the Acute Frailty Network (AFN) was more effective than usual practice in supporting older people living with frailty to return home from hospital sooner and healthier. Design Staggered difference-in-difference panel event study allowing for differential effects across intervention cohorts. Setting All English National Health Service (NHS) acute hospital sites. Participants All 1 410 427 NHS patients aged 75+ with high frailty risk who had an emergency hospital admission to acute, general or geriatric medicine departments between 1 January 2012 and 31 March 2019. Intervention Membership of the AFN, a quality improvement collaborative designed to support acute hospitals in England deliver evidence-based care for older people with frailty. 66 hospital sites joined the AFN in six sequential cohorts, the first starting in January 2015, the sixth in May 2018. Usual care was delivered in the remaining 248 control sites. Main outcome measures Length of hospital

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    • Did the @NHSEngland Acute Frailty Network improve outcomes for older people living with frailty? A staggered difference-in-difference panel event study https://t.co/ZH1HjnyYil via @andrewdstreet et al https://t.co/2XpfZkseqS

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    The patient safety movement of the early 21st century rode into town on the ‘systems’ horse. The Institute of Medicine report confidently declared that ‘The problem is not bad people; the problem is that the system needs to be made safer.’1 Recognising humans as inherently fallible, advocates for patient safety proposed that it was wrong to blame individual clinicians for poorly designed systems that were full of error traps.2 Iconic examples—such as administration of vincristine via the wrong route—were used to show how punishing doctors one at a time did nothing to prevent catastrophic errors from recurring.2 ,3 Individual blame was, therefore, deemed the wrong solution to the problem of patient safety; as long as specific individuals were deemed culpable, the significance of other hazards would go unnoticed. The systems approach sought to make better diagnosis and treatment of where the real causes of patient safety problems lay: in the ‘latent conditions’ of healthcare organisation

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    • 'Bad apples’: time to redefine as a type of systems problem? https://t.co/QLu1Vy1per via @kgshojania & @MaryDixonWoods

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    Background Diagnostic errors cause substantial preventable harms worldwide, but rigorous estimates for total burden are lacking. We previously estimated diagnostic error and serious harm rates for key dangerous diseases in major disease categories and validated plausible ranges using clinical experts. Objective We sought to estimate the annual US burden of serious misdiagnosis-related harms (permanent morbidity, mortality) by combining prior results with rigorous estimates of disease incidence. Methods Cross-sectional analysis of US-based nationally representative observational data. We estimated annual incident vascular events and infections from 21.5 million (M) sampled US hospital discharges (2012–2014). Annual new cancers were taken from US-based registries (2014). Years were selected for coding consistency with prior literature. Disease-specific incidences for 15 major vascular events, infections and cancers (‘Big Three’ categories) were multiplied by literature-based rates to der

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    • Medicine is a humbling field... Questions: can AI help reduce cognitive errors? And do other countries with different health care delivery systems have similar rates? Role of burnout, financial pressure on docs....? https://t.co/T5DMpS9QA6