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Application of the whole-course care model (IWF/C Care) for postintensive care syndrome based on an early warning system in critically ill patients: a randomised controlled trial study protocol

INTRODUCTION: Critically ill patients are at risk of developing postintensive care syndrome (PICS), which is manifested by physical, psychological and cognitive impairment. Currently, there are no programmes that combine early warning systems with interventions for PICS. We hypothesise that a compre...

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Autores principales: Liu, Xiaohui, Long, Jianmei, Chang, Yonghu, Gao, Huiming, Zhang, Xia, Chen, Junxi, Hu, Rujun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364161/
https://www.ncbi.nlm.nih.gov/pubmed/37479509
http://dx.doi.org/10.1136/bmjopen-2023-073035
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author Liu, Xiaohui
Long, Jianmei
Chang, Yonghu
Gao, Huiming
Zhang, Xia
Chen, Junxi
Hu, Rujun
author_facet Liu, Xiaohui
Long, Jianmei
Chang, Yonghu
Gao, Huiming
Zhang, Xia
Chen, Junxi
Hu, Rujun
author_sort Liu, Xiaohui
collection PubMed
description INTRODUCTION: Critically ill patients are at risk of developing postintensive care syndrome (PICS), which is manifested by physical, psychological and cognitive impairment. Currently, there are no programmes that combine early warning systems with interventions for PICS. We hypothesise that a comprehensive care model for PICS based on an early warning system would reduce medical costs and the incidence of PICS. METHODS AND ANALYSIS: The Intensive Care Unit (ICU) -Ward-Family/Community whole-course care (IWF/C Care) trial will be a unicentric, randomised, controlled trial. A total of 138 ICU patients from two ICUs at a university hospital in Guizhou province, China, will be enrolled in February 2023. The inclusion criteria are an age of 18 years or older, an ICU stay of more than 48 hours, provide informed consent and the ability to communicate normally. Patients will be followed for 12 months and randomised in a 1:1:1 ratio to three groups. INTERVENTIONS: Patients in intervention group 1 will be assessed by the PICS early warning system within 24 hours of ICU discharge, and precise interventions will be carried out according to the results; that is, high-risk patients will receive care based on the IWF/C Care model and low-risk patients will receive routine care. All patients in intervention group 2 will receive care based on the IWF/C Care model. The control group will receive routine care. The primary endpoints are the incidence of PICS and quality of life. The secondary endpoints include the incidence of adverse events: the unplanned readmission rate, cost-effectiveness, and the experiences and feelings of patients receiving care based on the IWF/C Care model. The incidence of PICS will be measured at ICU discharge, general ward discharge, the home/community stage and 1 month and 3, 6, 9, and 12 months after discharge. ETHICS AND DISSEMINATION: Ethics approval was obtained from Biomedical Research Ethics Committee of the Affiliated Hospital of Zunyi Medical University (approval number: KLL-2022-780). The results of this study will be distributed through peer-reviewed journals. TRIAL REGISTRATION NUMBER: ChiCTR2300068135.
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spelling pubmed-103641612023-07-25 Application of the whole-course care model (IWF/C Care) for postintensive care syndrome based on an early warning system in critically ill patients: a randomised controlled trial study protocol Liu, Xiaohui Long, Jianmei Chang, Yonghu Gao, Huiming Zhang, Xia Chen, Junxi Hu, Rujun BMJ Open Intensive Care INTRODUCTION: Critically ill patients are at risk of developing postintensive care syndrome (PICS), which is manifested by physical, psychological and cognitive impairment. Currently, there are no programmes that combine early warning systems with interventions for PICS. We hypothesise that a comprehensive care model for PICS based on an early warning system would reduce medical costs and the incidence of PICS. METHODS AND ANALYSIS: The Intensive Care Unit (ICU) -Ward-Family/Community whole-course care (IWF/C Care) trial will be a unicentric, randomised, controlled trial. A total of 138 ICU patients from two ICUs at a university hospital in Guizhou province, China, will be enrolled in February 2023. The inclusion criteria are an age of 18 years or older, an ICU stay of more than 48 hours, provide informed consent and the ability to communicate normally. Patients will be followed for 12 months and randomised in a 1:1:1 ratio to three groups. INTERVENTIONS: Patients in intervention group 1 will be assessed by the PICS early warning system within 24 hours of ICU discharge, and precise interventions will be carried out according to the results; that is, high-risk patients will receive care based on the IWF/C Care model and low-risk patients will receive routine care. All patients in intervention group 2 will receive care based on the IWF/C Care model. The control group will receive routine care. The primary endpoints are the incidence of PICS and quality of life. The secondary endpoints include the incidence of adverse events: the unplanned readmission rate, cost-effectiveness, and the experiences and feelings of patients receiving care based on the IWF/C Care model. The incidence of PICS will be measured at ICU discharge, general ward discharge, the home/community stage and 1 month and 3, 6, 9, and 12 months after discharge. ETHICS AND DISSEMINATION: Ethics approval was obtained from Biomedical Research Ethics Committee of the Affiliated Hospital of Zunyi Medical University (approval number: KLL-2022-780). The results of this study will be distributed through peer-reviewed journals. TRIAL REGISTRATION NUMBER: ChiCTR2300068135. BMJ Publishing Group 2023-07-21 /pmc/articles/PMC10364161/ /pubmed/37479509 http://dx.doi.org/10.1136/bmjopen-2023-073035 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Intensive Care
Liu, Xiaohui
Long, Jianmei
Chang, Yonghu
Gao, Huiming
Zhang, Xia
Chen, Junxi
Hu, Rujun
Application of the whole-course care model (IWF/C Care) for postintensive care syndrome based on an early warning system in critically ill patients: a randomised controlled trial study protocol
title Application of the whole-course care model (IWF/C Care) for postintensive care syndrome based on an early warning system in critically ill patients: a randomised controlled trial study protocol
title_full Application of the whole-course care model (IWF/C Care) for postintensive care syndrome based on an early warning system in critically ill patients: a randomised controlled trial study protocol
title_fullStr Application of the whole-course care model (IWF/C Care) for postintensive care syndrome based on an early warning system in critically ill patients: a randomised controlled trial study protocol
title_full_unstemmed Application of the whole-course care model (IWF/C Care) for postintensive care syndrome based on an early warning system in critically ill patients: a randomised controlled trial study protocol
title_short Application of the whole-course care model (IWF/C Care) for postintensive care syndrome based on an early warning system in critically ill patients: a randomised controlled trial study protocol
title_sort application of the whole-course care model (iwf/c care) for postintensive care syndrome based on an early warning system in critically ill patients: a randomised controlled trial study protocol
topic Intensive Care
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10364161/
https://www.ncbi.nlm.nih.gov/pubmed/37479509
http://dx.doi.org/10.1136/bmjopen-2023-073035
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