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Indicators of intensive care unit capacity strain: a systematic review
BACKGROUND: Strained intensive care unit (ICU) capacity represents a fundamental supply-demand mismatch in ICU resources. Strain is likely to be influenced by a range of factors; however, there has been no systematic evaluation of the spectrum of measures that may indicate strain on ICU capacity. ME...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870068/ https://www.ncbi.nlm.nih.gov/pubmed/29587816 http://dx.doi.org/10.1186/s13054-018-1975-3 |
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author | Rewa, Oleksa G. Stelfox, Henry T. Ingolfsson, Armann Zygun, David A. Featherstone, Robin Opgenorth, Dawn Bagshaw, Sean M. |
author_facet | Rewa, Oleksa G. Stelfox, Henry T. Ingolfsson, Armann Zygun, David A. Featherstone, Robin Opgenorth, Dawn Bagshaw, Sean M. |
author_sort | Rewa, Oleksa G. |
collection | PubMed |
description | BACKGROUND: Strained intensive care unit (ICU) capacity represents a fundamental supply-demand mismatch in ICU resources. Strain is likely to be influenced by a range of factors; however, there has been no systematic evaluation of the spectrum of measures that may indicate strain on ICU capacity. METHODS: We performed a systematic review to identify indicators of strained capacity. A comprehensive peer-reviewed search of MEDLINE, EMBASE, CINAHL, Cochrane Library, and Web of Science Core Collection was performed along with selected grey literature sources. We included studies published in English after 1990. We included studies that: (1) focused on ICU settings; (2) included description of a quality or performance measure; and (3) described strained capacity. Retrieved studies were screened, selected and extracted in duplicate. Quality was assessed using the Newcastle-Ottawa Quality Assessment Scale (NOS). Analysis was descriptive. RESULTS: Of 5297 studies identified in our search; 51 fulfilled eligibility. Most were cohort studies (n = 39; 76.5%), five (9.8%) were case-control, three (5.8%) were cross-sectional, two (3.9%) were modeling studies, one (2%) was a correlational study, and one (2%) was a quality improvement project. Most observational studies were high quality. Sixteen measures designed to indicate strain were identified 110 times, and classified as structure (n = 4, 25%), process (n = 7, 44%) and outcome (n = 5, 31%) indicators, respectively. The most commonly identified indicators of strain were ICU acuity (n = 21; 19.1% [process]), ICU readmission (n = 18; 16.4% [outcome]), after-hours discharge (n = 15; 13.6% [process]) and ICU census (n = 13; 11.8% [structure]). There was substantial heterogeneity in the operational definitions used to define strain indicators across studies. CONCLUSIONS: We identified and characterized 16 indicators of strained ICU capacity across the spectrum of healthcare quality domains. Future work should aim to evaluate their implementation into practice and assess their value for evaluating strategies to mitigate strain. SYSTEMATIC REVIEW REGISTRATION: This systematic review was registered at PROSPERO (March 27, 2015; CRD42015017931). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13054-018-1975-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5870068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58700682018-03-29 Indicators of intensive care unit capacity strain: a systematic review Rewa, Oleksa G. Stelfox, Henry T. Ingolfsson, Armann Zygun, David A. Featherstone, Robin Opgenorth, Dawn Bagshaw, Sean M. Crit Care Research BACKGROUND: Strained intensive care unit (ICU) capacity represents a fundamental supply-demand mismatch in ICU resources. Strain is likely to be influenced by a range of factors; however, there has been no systematic evaluation of the spectrum of measures that may indicate strain on ICU capacity. METHODS: We performed a systematic review to identify indicators of strained capacity. A comprehensive peer-reviewed search of MEDLINE, EMBASE, CINAHL, Cochrane Library, and Web of Science Core Collection was performed along with selected grey literature sources. We included studies published in English after 1990. We included studies that: (1) focused on ICU settings; (2) included description of a quality or performance measure; and (3) described strained capacity. Retrieved studies were screened, selected and extracted in duplicate. Quality was assessed using the Newcastle-Ottawa Quality Assessment Scale (NOS). Analysis was descriptive. RESULTS: Of 5297 studies identified in our search; 51 fulfilled eligibility. Most were cohort studies (n = 39; 76.5%), five (9.8%) were case-control, three (5.8%) were cross-sectional, two (3.9%) were modeling studies, one (2%) was a correlational study, and one (2%) was a quality improvement project. Most observational studies were high quality. Sixteen measures designed to indicate strain were identified 110 times, and classified as structure (n = 4, 25%), process (n = 7, 44%) and outcome (n = 5, 31%) indicators, respectively. The most commonly identified indicators of strain were ICU acuity (n = 21; 19.1% [process]), ICU readmission (n = 18; 16.4% [outcome]), after-hours discharge (n = 15; 13.6% [process]) and ICU census (n = 13; 11.8% [structure]). There was substantial heterogeneity in the operational definitions used to define strain indicators across studies. CONCLUSIONS: We identified and characterized 16 indicators of strained ICU capacity across the spectrum of healthcare quality domains. Future work should aim to evaluate their implementation into practice and assess their value for evaluating strategies to mitigate strain. SYSTEMATIC REVIEW REGISTRATION: This systematic review was registered at PROSPERO (March 27, 2015; CRD42015017931). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13054-018-1975-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-27 /pmc/articles/PMC5870068/ /pubmed/29587816 http://dx.doi.org/10.1186/s13054-018-1975-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Rewa, Oleksa G. Stelfox, Henry T. Ingolfsson, Armann Zygun, David A. Featherstone, Robin Opgenorth, Dawn Bagshaw, Sean M. Indicators of intensive care unit capacity strain: a systematic review |
title | Indicators of intensive care unit capacity strain: a systematic review |
title_full | Indicators of intensive care unit capacity strain: a systematic review |
title_fullStr | Indicators of intensive care unit capacity strain: a systematic review |
title_full_unstemmed | Indicators of intensive care unit capacity strain: a systematic review |
title_short | Indicators of intensive care unit capacity strain: a systematic review |
title_sort | indicators of intensive care unit capacity strain: a systematic review |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870068/ https://www.ncbi.nlm.nih.gov/pubmed/29587816 http://dx.doi.org/10.1186/s13054-018-1975-3 |
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