Developing decision support tools incorporating personalised predictions of likely visual benefit versus harm for cataract surgery:research programme

Autor: John M Sparrow, Mariusz Grzeda, Andrew Frost, Christopher Liu, Robert L Johnston, Peter Scanlon, Christalla Pithara, Daisy Elliott, Jenny Donovan, Natalie Joseph-Williams, Daniella Holland-Hart, Paul HJ Donachie, Padraig Dixon, Rebecca Kandiyali, Hazel Taylor, Katie Breheny, Jonathan Sterne, William Hollingworth, David Evans, Fiona Fox, Sofia Theodoropoulou, Rachael Hughes, Matthew Quinn, Daniel Gray, Larry Benjamin, Abi Loose, Lara Edwards, Pippa Craggs, Frances Paget, Ketan Kapoor, Jason Searle

Publikováno v: Sparrow, J M, Grzeda, M T, Frost, A, Liu, C, Johnston, R L, Scanlon, P, Pithara-McKeown, C, Elliott, D, Donovan, J L, Joseph-Williams, N, Holland-Hart, D, Donachie, P HJ, Dixon, P C, Kandiyali, R, Taylor, H, Breheny, K, Sterne, J A C, Hollingworth, W, Evans, D, Fox, F E, Theodoropoulou, S, Hughes, R, Quinn, M, Gray, D, Benjamin, L, Loose, A, Edwards, L, Craggs, P, Paget, F V, Kapoor, K & Searle, J 2022, ' Developing decision support tools incorporating personalised predictions of likely visual benefit versus harm for cataract surgery : research programme ', NIHR Open Research, vol. 10, no. 9 . https://doi.org/10.3310/BAGA4188

Background Surgery for established cataract is highly cost-effective and uncontroversial, yet uncertainty remains for individuals about when to proceed and when to delay surgery during the earlier stages of cataract. Objective We aimed to improve dec

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https://research-information.bris.ac.uk/en/publications/36d293ad-5938-415d-b0e8-793208d64dc3