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Alan J Poots
Researcher at Imperial College London
Publications - 45
Citations - 662
Alan J Poots is an academic researcher from Imperial College London. The author has contributed to research in topics: Population & Poison control. The author has an hindex of 14, co-authored 42 publications receiving 509 citations. Previous affiliations of Alan J Poots include Picker Institute Europe & National Institute for Health Research.
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Quantifying the prevalence of frailty in English hospitals
TL;DR: This study provides a novel methodology to reliably quantify clinically significant frailty within hospital settings, and measures trends and geospatial variation using English secondary care data set Hospital Episode Statistics (HES).
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Developing and validating a risk prediction model for acute care based on frailty syndromes
TL;DR: Frailty syndromes are a valid predictor of outcomes relevant to acute care and are a simple, clinically relevant and potentially more acceptable measurement for use in the acute care setting.
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Deprescribing medicines in the acute setting to reduce the risk of falls
Vanessa Marvin,Emily Ward,Alan J Poots,Katie L Heard,Arvind Rajagopalan,Barry Jubraj,Barry Jubraj +6 more
TL;DR: Inappropriate prescribing and polypharmacy are found frequently in elderly patients at admission following a fall and involvement of a pharmacist in medication review led to a significant reduction in the number of falls-risk medicines per patient.
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A pilot survey of junior doctors' attitudes and awareness around medication review: time to change our educational approach?
Barry Jubraj,Vanessa Marvin,Alan J Poots,Shreena Patel,Iñaki Bovill,Nina Barnett,Laurel Issen,Derek Bell +7 more
TL;DR: A ‘bottom-up’ educational approach should be given to provide early experience of and change the culture around medication review, to include the education of undergraduate and foundation doctors and pharmacists.
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Model-driven approach to data collection and reporting for quality improvement
TL;DR: In this article, the improvement data model (IDMDSM) is used for data collection and reporting for local improvement in healthcare processes and WISH, a prototype software tool based on MDSM is used by over 600 users in 50+ improvement projects.