New @BJGPjournal editorial to improve understanding of the eFI2 tool for routine frailty identification & management in primary care bjgp.org/content/75/755… Original @Age_and_Ageing eFI2 paper available here academic.oup.com/ageing/article… @GeriSoc @NIHR_ARC_YH @arc_nt @NHSEnglandCHS
bjgp.org Using the new electronic frailty index (eFI2) to aid frailty identification and management in... The term ‘frailty’ describes a condition characterised by loss of reserves causing vulnerability to a range of adverse outcomes after relatively minor illnesses.1 It has a reported prevalence of... Andrew Clegg
@drandyclegg
geriatrician, eFI, CARE75+, HERO trial, PROSPER study
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Fab new job opportunity!! 4 1/2 year SRF/RF Statistician post to take a leading role in @NIHRresearch funded Individual Participant Data Meta-Analysis (IPDMA) of ageing research trials jobs.leeds.ac.uk/Vacancy.aspx?r… Joint @AUASResearch and @ComplexCTRU post, with @amanda_horler and me
Big day today!! Our @NIHR_ARC_YH eFI2 study published in @Age_and_Ageing academic.oup.com/ageing/article…
National implementation will support proactive care for older people to maximise independence leeds.ac.uk/main-index/new… Fab team @AUASResearch @CAPS_UCL @LeedsBRC @HDR_UK @GeriSoc
National implementation will support proactive care for older people to maximise independence leeds.ac.uk/main-index/new… Fab team @AUASResearch @CAPS_UCL @LeedsBRC @HDR_UK @GeriSoc
Absolutely delighted to be awarded an @NIHRresearch Professorship focusing on maximising independence for older people. Huge thanks to @LeedsMedHealth, @BTHFT, UK and international colleagues for their amazing support! Exciting times! medicinehealth.leeds.ac.uk/faculty-/news/… @NIHR_ARC_YH @HDR_UK
1 in 3 older people fall each year, with potentially devastating impact on independence, and >£2Bn NHS cost. Please read about our @NIHRresearch to support proactive falls prevention using novel prediction modelling - full paper at academic.oup.com/ageing/article… @GeriSoc @NIHR_ARC_YH
academic.oup.com Development and external validation of the eFalls tool: a multivariable prediction model for the... AbstractBackground. Falls are common in older adults and can devastate personal independence through injury such as fracture and fear of future falls. Meth As the NHS enters another busy winter, we look at how a prediction model developed with #NIHR funding can help healthcare services prevent falls among older people and reduce pressure on the NHS. Read more ⤵️View quoted post on X