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It's a risky business: use of the QCovid risk calculator in a psychiatric rehabilitation population to enhance prevention

AIMS: Serious mental illness (SMI) is now accepted as a significant risk factor for contracting COVID-19, increasing the rates of adverse outcomes, including hospitalisation and mortality. Risk assessments are the cornerstone of protecting vulnerable groups of individuals. The QCovid risk calculator...

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Autores principales: Patel, Jinal, Scott, Fraser, Mohan, Rajesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771659/
http://dx.doi.org/10.1192/bjo.2021.172
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author Patel, Jinal
Scott, Fraser
Mohan, Rajesh
author_facet Patel, Jinal
Scott, Fraser
Mohan, Rajesh
author_sort Patel, Jinal
collection PubMed
description AIMS: Serious mental illness (SMI) is now accepted as a significant risk factor for contracting COVID-19, increasing the rates of adverse outcomes, including hospitalisation and mortality. Risk assessments are the cornerstone of protecting vulnerable groups of individuals. The QCovid risk calculator is a newly developed tool to predict the risk of death or hospitalisation from COVID-19. It has not been applied in SMI populations. We aimed to use the QCovid risk calculator in an inpatient rehabilitation setting to identify and mitigate risk for people with SMI with personalised COVID-19 prevention plans. METHOD: Clinical and sociodemographic characteristics were obtained for 22 inpatients. Firstly, the QCovid risk calculator was used to ascertain the absolute and relative risks to patients (Odds Ratios (OR) of mortality and/or hospitalisation) from COVID-19. Patients were stratified as high (OR > 10), moderate (OR 5-10) and low (OR < 5) risk. Secondly, personalised COVID-19 prevention plans were coproduced by patients and clinicians addressing 1) risk factors contributing to increased QCovid risk, 2) patient's personal goals, concerns, and preferences 3) maximizing patient engagement in COVID-19 infection prevention strategies. Finally, uptake of personalised COVID-19 prevention plans was evaluated after four weeks using a customised patient feedback questionnaire. RESULT: Of the 22 inpatients (68% male), 14 patients (64%) had schizophrenia and 3 patients (14%) had schizoaffective disorder as primary diagnosis. 13 (59%) patients were prescribed clozapine. QCovid risk stratification showed 10% of patients as high risk, 29% as moderate risk, and 61% as low risk. Apart from SMI in all 22 inpatients, the most common QCovid risk factors were increased body mass index (64%, n = 14; 23% overweight and 41% obese), diabetes mellitus type 1 or 2 (27%, n = 6) and epilepsy (n = 4, 18%). 19 of the 22 patients provided feedback on their personalised COVID-19 prevention plans. Most patients (79%) felt they had “contributed significantly” to their COVID-19 prevention plans, and their individual goals and concerns were valued. 79% were “satisfied” with their COVID-19 prevention plans. Subjective perception of safety from COVID-19 was high, with 95% of patients feeling “safe and well-protected from COVID-19”. CONCLUSION: Comprehensive assessment of COVID-19 risks in vulnerable groups enables personalised risk mitigation, both at an individual and service level. Our findings show the importance of applying current knowledge to protect vulnerable patients with SMI through personalised prevention plans. This approach can be scaled up to understand risks for services and teams, while allowing clinicians to adapt their use for individualised COVID-19 prevention.
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spelling pubmed-87716592022-01-31 It's a risky business: use of the QCovid risk calculator in a psychiatric rehabilitation population to enhance prevention Patel, Jinal Scott, Fraser Mohan, Rajesh BJPsych Open Rapid-Fire Poster Presentations AIMS: Serious mental illness (SMI) is now accepted as a significant risk factor for contracting COVID-19, increasing the rates of adverse outcomes, including hospitalisation and mortality. Risk assessments are the cornerstone of protecting vulnerable groups of individuals. The QCovid risk calculator is a newly developed tool to predict the risk of death or hospitalisation from COVID-19. It has not been applied in SMI populations. We aimed to use the QCovid risk calculator in an inpatient rehabilitation setting to identify and mitigate risk for people with SMI with personalised COVID-19 prevention plans. METHOD: Clinical and sociodemographic characteristics were obtained for 22 inpatients. Firstly, the QCovid risk calculator was used to ascertain the absolute and relative risks to patients (Odds Ratios (OR) of mortality and/or hospitalisation) from COVID-19. Patients were stratified as high (OR > 10), moderate (OR 5-10) and low (OR < 5) risk. Secondly, personalised COVID-19 prevention plans were coproduced by patients and clinicians addressing 1) risk factors contributing to increased QCovid risk, 2) patient's personal goals, concerns, and preferences 3) maximizing patient engagement in COVID-19 infection prevention strategies. Finally, uptake of personalised COVID-19 prevention plans was evaluated after four weeks using a customised patient feedback questionnaire. RESULT: Of the 22 inpatients (68% male), 14 patients (64%) had schizophrenia and 3 patients (14%) had schizoaffective disorder as primary diagnosis. 13 (59%) patients were prescribed clozapine. QCovid risk stratification showed 10% of patients as high risk, 29% as moderate risk, and 61% as low risk. Apart from SMI in all 22 inpatients, the most common QCovid risk factors were increased body mass index (64%, n = 14; 23% overweight and 41% obese), diabetes mellitus type 1 or 2 (27%, n = 6) and epilepsy (n = 4, 18%). 19 of the 22 patients provided feedback on their personalised COVID-19 prevention plans. Most patients (79%) felt they had “contributed significantly” to their COVID-19 prevention plans, and their individual goals and concerns were valued. 79% were “satisfied” with their COVID-19 prevention plans. Subjective perception of safety from COVID-19 was high, with 95% of patients feeling “safe and well-protected from COVID-19”. CONCLUSION: Comprehensive assessment of COVID-19 risks in vulnerable groups enables personalised risk mitigation, both at an individual and service level. Our findings show the importance of applying current knowledge to protect vulnerable patients with SMI through personalised prevention plans. This approach can be scaled up to understand risks for services and teams, while allowing clinicians to adapt their use for individualised COVID-19 prevention. Cambridge University Press 2021-06-18 /pmc/articles/PMC8771659/ http://dx.doi.org/10.1192/bjo.2021.172 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Rapid-Fire Poster Presentations
Patel, Jinal
Scott, Fraser
Mohan, Rajesh
It's a risky business: use of the QCovid risk calculator in a psychiatric rehabilitation population to enhance prevention
title It's a risky business: use of the QCovid risk calculator in a psychiatric rehabilitation population to enhance prevention
title_full It's a risky business: use of the QCovid risk calculator in a psychiatric rehabilitation population to enhance prevention
title_fullStr It's a risky business: use of the QCovid risk calculator in a psychiatric rehabilitation population to enhance prevention
title_full_unstemmed It's a risky business: use of the QCovid risk calculator in a psychiatric rehabilitation population to enhance prevention
title_short It's a risky business: use of the QCovid risk calculator in a psychiatric rehabilitation population to enhance prevention
title_sort it's a risky business: use of the qcovid risk calculator in a psychiatric rehabilitation population to enhance prevention
topic Rapid-Fire Poster Presentations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8771659/
http://dx.doi.org/10.1192/bjo.2021.172
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