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Evaluation of bed vacancy and occupancy times as governance parameters in patients admitted to a public intensive care unit
OBJECTIVE: To evaluate the vacancy and occupancy times of intensive care unit beds; to analyze differences in these times between the day and night shifts and weekdays, weekends, and holidays; and to identify predictors of vacancy and occupancy times. METHODS: This was a cross-sectional, observation...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação de Medicina Intensiva Brasileira - AMIB
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595712/ https://www.ncbi.nlm.nih.gov/pubmed/33053031 http://dx.doi.org/10.5935/0103-507X.20200070 |
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author | Alves Júnior, Marcos Antonio Passos, Taciana Silveira Almeida-Santos, Marcos Antonio |
author_facet | Alves Júnior, Marcos Antonio Passos, Taciana Silveira Almeida-Santos, Marcos Antonio |
author_sort | Alves Júnior, Marcos Antonio |
collection | PubMed |
description | OBJECTIVE: To evaluate the vacancy and occupancy times of intensive care unit beds; to analyze differences in these times between the day and night shifts and weekdays, weekends, and holidays; and to identify predictors of vacancy and occupancy times. METHODS: This was a cross-sectional, observational, descriptive, analytical, inferential study. A total of 700 vacancy-to-occupancy records from 54 beds of an adult intensive care unit of a public hospital in Sergipe, Brazil, dated between January and December 2018 were analyzed. The nonparametric Mann-Whitney test was used for comparisons between groups. Several predictive models of length of stay were constructed. The incidence rate ratio was used to estimate the effect size. RESULTS: During the study period, there were 13,477 requests for the 54 intensive care unit beds, and only 5% (700 patients) were granted. The vacancy-to-occupancy times were shorter when beds were occupied at night (incidence rate ratio of 0.658; 95%CI 0.550 - 0.787; p < 0.0001) or on weekends (incidence rate ratio of 0.566; 95%CI 0.382 - 0.838; p = 0.004). Female sex (incidence rate ratio of 0.749; 95%CI 0.657 - 0.856; p < 0.0001) was a predictor of shorter vacancy-to-occupancy time. This time tended to increase with patient age (incidence rate ratio of 1.006; 95% CI 1.003 - 1.009; p < 0.0001). CONCLUSION: Disparities in the waiting time for intensive care unit beds were identified, as the time was greater in the daytime and on weekdays, and women and younger patients experienced shorter vacancy-to-occupancy times. |
format | Online Article Text |
id | pubmed-7595712 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Associação de Medicina Intensiva Brasileira - AMIB |
record_format | MEDLINE/PubMed |
spelling | pubmed-75957122020-11-03 Evaluation of bed vacancy and occupancy times as governance parameters in patients admitted to a public intensive care unit Alves Júnior, Marcos Antonio Passos, Taciana Silveira Almeida-Santos, Marcos Antonio Rev Bras Ter Intensiva Original Article OBJECTIVE: To evaluate the vacancy and occupancy times of intensive care unit beds; to analyze differences in these times between the day and night shifts and weekdays, weekends, and holidays; and to identify predictors of vacancy and occupancy times. METHODS: This was a cross-sectional, observational, descriptive, analytical, inferential study. A total of 700 vacancy-to-occupancy records from 54 beds of an adult intensive care unit of a public hospital in Sergipe, Brazil, dated between January and December 2018 were analyzed. The nonparametric Mann-Whitney test was used for comparisons between groups. Several predictive models of length of stay were constructed. The incidence rate ratio was used to estimate the effect size. RESULTS: During the study period, there were 13,477 requests for the 54 intensive care unit beds, and only 5% (700 patients) were granted. The vacancy-to-occupancy times were shorter when beds were occupied at night (incidence rate ratio of 0.658; 95%CI 0.550 - 0.787; p < 0.0001) or on weekends (incidence rate ratio of 0.566; 95%CI 0.382 - 0.838; p = 0.004). Female sex (incidence rate ratio of 0.749; 95%CI 0.657 - 0.856; p < 0.0001) was a predictor of shorter vacancy-to-occupancy time. This time tended to increase with patient age (incidence rate ratio of 1.006; 95% CI 1.003 - 1.009; p < 0.0001). CONCLUSION: Disparities in the waiting time for intensive care unit beds were identified, as the time was greater in the daytime and on weekdays, and women and younger patients experienced shorter vacancy-to-occupancy times. Associação de Medicina Intensiva Brasileira - AMIB 2020 /pmc/articles/PMC7595712/ /pubmed/33053031 http://dx.doi.org/10.5935/0103-507X.20200070 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Alves Júnior, Marcos Antonio Passos, Taciana Silveira Almeida-Santos, Marcos Antonio Evaluation of bed vacancy and occupancy times as governance parameters in patients admitted to a public intensive care unit |
title | Evaluation of bed vacancy and occupancy times as governance parameters in patients admitted to a public intensive care unit |
title_full | Evaluation of bed vacancy and occupancy times as governance parameters in patients admitted to a public intensive care unit |
title_fullStr | Evaluation of bed vacancy and occupancy times as governance parameters in patients admitted to a public intensive care unit |
title_full_unstemmed | Evaluation of bed vacancy and occupancy times as governance parameters in patients admitted to a public intensive care unit |
title_short | Evaluation of bed vacancy and occupancy times as governance parameters in patients admitted to a public intensive care unit |
title_sort | evaluation of bed vacancy and occupancy times as governance parameters in patients admitted to a public intensive care unit |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595712/ https://www.ncbi.nlm.nih.gov/pubmed/33053031 http://dx.doi.org/10.5935/0103-507X.20200070 |
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