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The aim of this study is to evaluate the effect of incorporation of outcome information in the Intensive Care Unit (ICU) decision-making process on patient and family reported outcomes and experiences of patients, relatives and ICU clinicians in a randomized clinical trial design in the Jeroen Bosch Ziekenhuis and Radboudumc in the Netherlands.
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Background Due to advances in critical care medicine, more patients survive their critical illness. However, many Intensive Care Unit (ICU) survivors suffer from physical, cognitive and/or mental problems impacting patients' quality of life (QoL). Because of a lack of long-term outcome information, ICU physicians make decisions regarding ICU treatment based on their clinical experience and intuition. Moreover, patients and relatives are often not involved in the decision-making process.
To improve the ICU decision-making process and to make it more substantiated, the use of patient-reported outcome measures (PROMs) is of utmost importance. Therefore, the Radboudumc, in collaboration with six regional hospitals, including Jeroen Bosch Ziekenhuis (JBZ), set up a large-scale prospective cohort study, MONITOR-IC (www.monitor-ic.nl), to study long-term outcomes of ICU survivors', their QoL and their needs.
This research sets out to evaluate the effect of incorporation of outcome information in the ICU decision-making process on patient and family reported outcomes and experiences of patients, relatives and ICU clinicians in a randomized clinical trial design in the Jeroen Bosch Ziekenhuis and Radboudumc in the Netherlands.
Methods A prediction model for long-term QoL was previously developed using physiological, pathological, drug and treatment data from patients' electronic health record combined with PROMs from one centre of the MONITOR-IC. It was externally validated with the data of six other centres and an E-health tool was developed, incorporating this prediction model. For this research, the E-health tool will be incorporated in family meetings.
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160 participants in 2 patient groups
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Marieke Zegers, PhD; Mark van den Boogaard, PhD
Data sourced from clinicaltrials.gov
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