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Variation in severity-adjusted resource use and outcome in intensive care units

PURPOSE: Intensive care patients have increased risk of death and their care is expensive. We investigated whether risk-adjusted mortality and resources used to achieve survivors change over time and if their variation is associated with variables related to intensive care unit (ICU) organization an...

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Autores principales: Takala, Jukka, Moser, André, Raj, Rahul, Pettilä, Ville, Irincheeva, Irina, Selander, Tuomas, Kiiski, Olli, Varpula, Tero, Reinikainen, Matti, Jakob, Stephan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724095/
https://www.ncbi.nlm.nih.gov/pubmed/34661693
http://dx.doi.org/10.1007/s00134-021-06546-4
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author Takala, Jukka
Moser, André
Raj, Rahul
Pettilä, Ville
Irincheeva, Irina
Selander, Tuomas
Kiiski, Olli
Varpula, Tero
Reinikainen, Matti
Jakob, Stephan M.
author_facet Takala, Jukka
Moser, André
Raj, Rahul
Pettilä, Ville
Irincheeva, Irina
Selander, Tuomas
Kiiski, Olli
Varpula, Tero
Reinikainen, Matti
Jakob, Stephan M.
author_sort Takala, Jukka
collection PubMed
description PURPOSE: Intensive care patients have increased risk of death and their care is expensive. We investigated whether risk-adjusted mortality and resources used to achieve survivors change over time and if their variation is associated with variables related to intensive care unit (ICU) organization and structure. METHODS: Data of 207,131 patients treated in 2008–2017 in 21 ICUs in Finland, Estonia and Switzerland were extracted from a benchmarking database. Resource use was measured using ICU length of stay, daily Therapeutic Intervention Scoring System Scores (TISS) and purchasing power parity-adjusted direct costs (2015–2017; 17 ICUs). The ratio of observed to severity-adjusted expected resource use (standardized resource use ratio; SRUR) was calculated. The number of expected survivors and the ratio of observed to expected mortality (standardized mortality ratio; SMR) was based on a mortality prediction model covering 2015–2017. Fourteen a priori variables reflecting structure and organization were used as explanatory variables for SRURs in multivariable models. RESULTS: SMR decreased over time, whereas SRUR remained unchanged, except for decreased TISS-based SRUR. Direct costs of one ICU day, TISS score and ICU admission varied between ICUs 2.5–5-fold. Differences between individual ICUs in both SRUR and SMR were up to > 3-fold, and their evolution was highly variable, without clear association between SRUR and SMR. High patient turnover was consistently associated with low SRUR but not with SMR. CONCLUSION: The wide and independent variation in both SMR and SRUR suggests that they should be used together to compare the performance of different ICUs or an individual ICU over time. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00134-021-06546-4.
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spelling pubmed-87240952022-01-13 Variation in severity-adjusted resource use and outcome in intensive care units Takala, Jukka Moser, André Raj, Rahul Pettilä, Ville Irincheeva, Irina Selander, Tuomas Kiiski, Olli Varpula, Tero Reinikainen, Matti Jakob, Stephan M. Intensive Care Med Original PURPOSE: Intensive care patients have increased risk of death and their care is expensive. We investigated whether risk-adjusted mortality and resources used to achieve survivors change over time and if their variation is associated with variables related to intensive care unit (ICU) organization and structure. METHODS: Data of 207,131 patients treated in 2008–2017 in 21 ICUs in Finland, Estonia and Switzerland were extracted from a benchmarking database. Resource use was measured using ICU length of stay, daily Therapeutic Intervention Scoring System Scores (TISS) and purchasing power parity-adjusted direct costs (2015–2017; 17 ICUs). The ratio of observed to severity-adjusted expected resource use (standardized resource use ratio; SRUR) was calculated. The number of expected survivors and the ratio of observed to expected mortality (standardized mortality ratio; SMR) was based on a mortality prediction model covering 2015–2017. Fourteen a priori variables reflecting structure and organization were used as explanatory variables for SRURs in multivariable models. RESULTS: SMR decreased over time, whereas SRUR remained unchanged, except for decreased TISS-based SRUR. Direct costs of one ICU day, TISS score and ICU admission varied between ICUs 2.5–5-fold. Differences between individual ICUs in both SRUR and SMR were up to > 3-fold, and their evolution was highly variable, without clear association between SRUR and SMR. High patient turnover was consistently associated with low SRUR but not with SMR. CONCLUSION: The wide and independent variation in both SMR and SRUR suggests that they should be used together to compare the performance of different ICUs or an individual ICU over time. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00134-021-06546-4. Springer Berlin Heidelberg 2021-10-18 2022 /pmc/articles/PMC8724095/ /pubmed/34661693 http://dx.doi.org/10.1007/s00134-021-06546-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original
Takala, Jukka
Moser, André
Raj, Rahul
Pettilä, Ville
Irincheeva, Irina
Selander, Tuomas
Kiiski, Olli
Varpula, Tero
Reinikainen, Matti
Jakob, Stephan M.
Variation in severity-adjusted resource use and outcome in intensive care units
title Variation in severity-adjusted resource use and outcome in intensive care units
title_full Variation in severity-adjusted resource use and outcome in intensive care units
title_fullStr Variation in severity-adjusted resource use and outcome in intensive care units
title_full_unstemmed Variation in severity-adjusted resource use and outcome in intensive care units
title_short Variation in severity-adjusted resource use and outcome in intensive care units
title_sort variation in severity-adjusted resource use and outcome in intensive care units
topic Original
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724095/
https://www.ncbi.nlm.nih.gov/pubmed/34661693
http://dx.doi.org/10.1007/s00134-021-06546-4
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