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Cataract risk stratification and prioritisation protocol in the COVID-19 era
BACKGROUND: The COVID-19 pandemic halted non-emergency surgery across Scotland. Measures to mitigate the risks of transmitting COVID-19 are creating significant challenges to restarting all surgical services safely. We describe the development of a risk stratification tool to prioritise patients for...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887562/ https://www.ncbi.nlm.nih.gov/pubmed/33596884 http://dx.doi.org/10.1186/s12913-021-06165-1 |
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author | Cheng, Kelvin KW Anderson, Martin J Velissaris, Stavros Moreton, Robert Al-Mansour, Ahmed Sanders, Roshini Sutherland, Shona Wilson, Peter Blaikie, Andrew |
author_facet | Cheng, Kelvin KW Anderson, Martin J Velissaris, Stavros Moreton, Robert Al-Mansour, Ahmed Sanders, Roshini Sutherland, Shona Wilson, Peter Blaikie, Andrew |
author_sort | Cheng, Kelvin KW |
collection | PubMed |
description | BACKGROUND: The COVID-19 pandemic halted non-emergency surgery across Scotland. Measures to mitigate the risks of transmitting COVID-19 are creating significant challenges to restarting all surgical services safely. We describe the development of a risk stratification tool to prioritise patients for cataract surgery taking account both specific risk factors for poor outcome from COVID-19 infection as well as surgical ‘need’. In addition we report the demographics and comorbidities of patients on our waiting list. METHODS: A prospective case review of electronic records was performed. A risk stratification tool was developed based on review of available literature on systemic risk factors for poor outcome from COVID-19 infection as well as a surgical ‘need’ score. Scores derived from the tool were used to generate 6 risk profile groups to allow prioritised allocation of surgery. RESULTS: There were 744 patients awaiting cataract surgery of which 66 (8.9 %) patients were ‘shielding’. One hundred and thirty-two (19.5 %) patients had no systemic comorbidities, 218 (32.1 %) patients had 1 relevant systemic comorbidity and 316 (46.5 %) patients had 2 or more comorbidities. Five hundred and ninety patients (88.7 %) did not have significant ocular comorbidities. Using the risk stratification tool, 171 (23 %) patients were allocated in the highest 3 priority stages. Given an aging cohort with associated increase in number of systemic comorbidities, the majority of patients were in the lower priority stages 4 to 6. CONCLUSIONS: COVID-19 has created an urgent challenge to deal safely with cataract surgery waiting lists. This has driven the need for a prompt and pragmatic change to the way we assess risks and benefits of a previously regarded as low-risk intervention. This is further complicated by the majority of patients awaiting cataract surgery being elderly with comorbidities and at higher risk of mortality related to COVID-19. We present a pragmatic method of risk stratifying patients on waiting lists, blending an evidence-based objective assessment of risk and patient need combined with an element of shared decision-making. This has facilitated safe and successful restarting of our cataract service. |
format | Online Article Text |
id | pubmed-7887562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78875622021-02-17 Cataract risk stratification and prioritisation protocol in the COVID-19 era Cheng, Kelvin KW Anderson, Martin J Velissaris, Stavros Moreton, Robert Al-Mansour, Ahmed Sanders, Roshini Sutherland, Shona Wilson, Peter Blaikie, Andrew BMC Health Serv Res Research Article BACKGROUND: The COVID-19 pandemic halted non-emergency surgery across Scotland. Measures to mitigate the risks of transmitting COVID-19 are creating significant challenges to restarting all surgical services safely. We describe the development of a risk stratification tool to prioritise patients for cataract surgery taking account both specific risk factors for poor outcome from COVID-19 infection as well as surgical ‘need’. In addition we report the demographics and comorbidities of patients on our waiting list. METHODS: A prospective case review of electronic records was performed. A risk stratification tool was developed based on review of available literature on systemic risk factors for poor outcome from COVID-19 infection as well as a surgical ‘need’ score. Scores derived from the tool were used to generate 6 risk profile groups to allow prioritised allocation of surgery. RESULTS: There were 744 patients awaiting cataract surgery of which 66 (8.9 %) patients were ‘shielding’. One hundred and thirty-two (19.5 %) patients had no systemic comorbidities, 218 (32.1 %) patients had 1 relevant systemic comorbidity and 316 (46.5 %) patients had 2 or more comorbidities. Five hundred and ninety patients (88.7 %) did not have significant ocular comorbidities. Using the risk stratification tool, 171 (23 %) patients were allocated in the highest 3 priority stages. Given an aging cohort with associated increase in number of systemic comorbidities, the majority of patients were in the lower priority stages 4 to 6. CONCLUSIONS: COVID-19 has created an urgent challenge to deal safely with cataract surgery waiting lists. This has driven the need for a prompt and pragmatic change to the way we assess risks and benefits of a previously regarded as low-risk intervention. This is further complicated by the majority of patients awaiting cataract surgery being elderly with comorbidities and at higher risk of mortality related to COVID-19. We present a pragmatic method of risk stratifying patients on waiting lists, blending an evidence-based objective assessment of risk and patient need combined with an element of shared decision-making. This has facilitated safe and successful restarting of our cataract service. BioMed Central 2021-02-17 /pmc/articles/PMC7887562/ /pubmed/33596884 http://dx.doi.org/10.1186/s12913-021-06165-1 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Cheng, Kelvin KW Anderson, Martin J Velissaris, Stavros Moreton, Robert Al-Mansour, Ahmed Sanders, Roshini Sutherland, Shona Wilson, Peter Blaikie, Andrew Cataract risk stratification and prioritisation protocol in the COVID-19 era |
title | Cataract risk stratification and prioritisation protocol in the COVID-19 era |
title_full | Cataract risk stratification and prioritisation protocol in the COVID-19 era |
title_fullStr | Cataract risk stratification and prioritisation protocol in the COVID-19 era |
title_full_unstemmed | Cataract risk stratification and prioritisation protocol in the COVID-19 era |
title_short | Cataract risk stratification and prioritisation protocol in the COVID-19 era |
title_sort | cataract risk stratification and prioritisation protocol in the covid-19 era |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887562/ https://www.ncbi.nlm.nih.gov/pubmed/33596884 http://dx.doi.org/10.1186/s12913-021-06165-1 |
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