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Estimating extra length of stay due to healthcare-associated infections before and after implementation of a hospital-wide infection control program

INTRODUCTION: Healthcare-associated infections (HAIs) are a major health concern and have substantial effects on morbidity and mortality and increase healthcare costs. We investigated the effect of a hospital-wide program for the prevention of HAIs on additional length of stay (LOS). METHODS: We ana...

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Autores principales: Arefian, Habibollah, Hagel, Stefan, Fischer, Dagmar, Scherag, André, Brunkhorst, Frank Martin, Maschmann, Jens, Hartmann, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6524816/
https://www.ncbi.nlm.nih.gov/pubmed/31100094
http://dx.doi.org/10.1371/journal.pone.0217159
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author Arefian, Habibollah
Hagel, Stefan
Fischer, Dagmar
Scherag, André
Brunkhorst, Frank Martin
Maschmann, Jens
Hartmann, Michael
author_facet Arefian, Habibollah
Hagel, Stefan
Fischer, Dagmar
Scherag, André
Brunkhorst, Frank Martin
Maschmann, Jens
Hartmann, Michael
author_sort Arefian, Habibollah
collection PubMed
description INTRODUCTION: Healthcare-associated infections (HAIs) are a major health concern and have substantial effects on morbidity and mortality and increase healthcare costs. We investigated the effect of a hospital-wide program for the prevention of HAIs on additional length of stay (LOS). METHODS: We analyzed data from a prospective, single-center, quasi-experimental study with two surveillance periods before and after implementation of an infection prevention intervention program. HAI diagnosis was made according to surveillance definition criteria established by the US Centers for Disease Control and Prevention. A multistate model was used to estimate additional LOS for patients with HAI in both surveillance periods. RESULTS: During the first and second periods, 1,568 and 2,336 HAIs were identified among 26,943 and 35,211 patients, respectively. For HAI patients exclusively treated in a general ward, additional LOS was 8.4 (95% confidence interval, CI: 6.8–10.0) days in the first period and 9.6 (95% CI: 8.3–11.0) days in the second period (p = 0.26). For HAI patients treated in both an intensive care unit (ICU) and a general ward, additional LOS was 8.1 (95% CI: 6.3–9.9) days in the first period to 7.3 (95% CI: 6.1–8.5) days in the second period (p = 0.47). CONCLUSIONS: Healthcare-associated infections prolong LOS. A hospital-wide infection control program did not alter the prolongation of LOS.
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spelling pubmed-65248162019-05-31 Estimating extra length of stay due to healthcare-associated infections before and after implementation of a hospital-wide infection control program Arefian, Habibollah Hagel, Stefan Fischer, Dagmar Scherag, André Brunkhorst, Frank Martin Maschmann, Jens Hartmann, Michael PLoS One Research Article INTRODUCTION: Healthcare-associated infections (HAIs) are a major health concern and have substantial effects on morbidity and mortality and increase healthcare costs. We investigated the effect of a hospital-wide program for the prevention of HAIs on additional length of stay (LOS). METHODS: We analyzed data from a prospective, single-center, quasi-experimental study with two surveillance periods before and after implementation of an infection prevention intervention program. HAI diagnosis was made according to surveillance definition criteria established by the US Centers for Disease Control and Prevention. A multistate model was used to estimate additional LOS for patients with HAI in both surveillance periods. RESULTS: During the first and second periods, 1,568 and 2,336 HAIs were identified among 26,943 and 35,211 patients, respectively. For HAI patients exclusively treated in a general ward, additional LOS was 8.4 (95% confidence interval, CI: 6.8–10.0) days in the first period and 9.6 (95% CI: 8.3–11.0) days in the second period (p = 0.26). For HAI patients treated in both an intensive care unit (ICU) and a general ward, additional LOS was 8.1 (95% CI: 6.3–9.9) days in the first period to 7.3 (95% CI: 6.1–8.5) days in the second period (p = 0.47). CONCLUSIONS: Healthcare-associated infections prolong LOS. A hospital-wide infection control program did not alter the prolongation of LOS. Public Library of Science 2019-05-17 /pmc/articles/PMC6524816/ /pubmed/31100094 http://dx.doi.org/10.1371/journal.pone.0217159 Text en © 2019 Arefian et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Arefian, Habibollah
Hagel, Stefan
Fischer, Dagmar
Scherag, André
Brunkhorst, Frank Martin
Maschmann, Jens
Hartmann, Michael
Estimating extra length of stay due to healthcare-associated infections before and after implementation of a hospital-wide infection control program
title Estimating extra length of stay due to healthcare-associated infections before and after implementation of a hospital-wide infection control program
title_full Estimating extra length of stay due to healthcare-associated infections before and after implementation of a hospital-wide infection control program
title_fullStr Estimating extra length of stay due to healthcare-associated infections before and after implementation of a hospital-wide infection control program
title_full_unstemmed Estimating extra length of stay due to healthcare-associated infections before and after implementation of a hospital-wide infection control program
title_short Estimating extra length of stay due to healthcare-associated infections before and after implementation of a hospital-wide infection control program
title_sort estimating extra length of stay due to healthcare-associated infections before and after implementation of a hospital-wide infection control program
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6524816/
https://www.ncbi.nlm.nih.gov/pubmed/31100094
http://dx.doi.org/10.1371/journal.pone.0217159
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