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534. Clostridium difficile Reduction: An Agent-Based Simulation Modeling Approach to Evaluating Intervention Comparative Effectiveness at Pediatric Hospitals

BACKGROUND: Clostridium difficile surveillance data are lacking from pediatric facilities and there are few pediatric-centered guidelines or studies evaluating C. difficile targeted pediatric interventions. Compared with the adult setting, C. difficile control in pediatric healthcare facilities is a...

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Autores principales: Barker, Anna, Scaria, Elizabeth, Alagoz, Oguzhan, Sethi, Ajay, Safdar, Nasia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6255673/
http://dx.doi.org/10.1093/ofid/ofy210.543
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author Barker, Anna
Scaria, Elizabeth
Alagoz, Oguzhan
Sethi, Ajay
Safdar, Nasia
author_facet Barker, Anna
Scaria, Elizabeth
Alagoz, Oguzhan
Sethi, Ajay
Safdar, Nasia
author_sort Barker, Anna
collection PubMed
description BACKGROUND: Clostridium difficile surveillance data are lacking from pediatric facilities and there are few pediatric-centered guidelines or studies evaluating C. difficile targeted pediatric interventions. Compared with the adult setting, C. difficile control in pediatric healthcare facilities is also further complicated by epidemiologic variability across the age spectrum and increased patient-to-patient and patient-to-family interactions. METHODS: We constructed an agent-based simulation model of C. difficile transmission at a freestanding children’s hospital. The 80-bed hospital model included interactions between the physical environment, patients, visitors, family caregivers, nurses, and physicians. The model was then used to evaluate the comparative effectiveness of nine infection control interventions and six multiple-intervention bundles at reducing hospital-onset C. difficile infections and asymptomatic C. difficile colonization. RESULTS: The most effective two-intervention bundle, composed of daily cleaning with sporicidal disinfectant and an asymptomatic C. difficile screening protocol, reduced hospital-onset C. difficile infection by 62.0% and asymptomatic colonization by 88.4%. Six of the nine single-intervention strategies also significantly reduced both outcomes, including daily and terminal cleaning, asymptomatic C. difficile screening, healthcare worker and patient hand hygiene, and reducing room transfers. The remaining three single-intervention strategies, visitor hand hygiene and visitor and healthcare worker contact precautions, did not significantly reduce either measure. CONCLUSION: This is the first mathematical model to evaluate pediatric C. difficile transmission. Hospitals can achieve a high rate of reduction for hospital-onset C. difficile infections by prioritizing implementation of a small number of interventions with high fidelity. DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-62556732018-11-28 534. Clostridium difficile Reduction: An Agent-Based Simulation Modeling Approach to Evaluating Intervention Comparative Effectiveness at Pediatric Hospitals Barker, Anna Scaria, Elizabeth Alagoz, Oguzhan Sethi, Ajay Safdar, Nasia Open Forum Infect Dis Abstracts BACKGROUND: Clostridium difficile surveillance data are lacking from pediatric facilities and there are few pediatric-centered guidelines or studies evaluating C. difficile targeted pediatric interventions. Compared with the adult setting, C. difficile control in pediatric healthcare facilities is also further complicated by epidemiologic variability across the age spectrum and increased patient-to-patient and patient-to-family interactions. METHODS: We constructed an agent-based simulation model of C. difficile transmission at a freestanding children’s hospital. The 80-bed hospital model included interactions between the physical environment, patients, visitors, family caregivers, nurses, and physicians. The model was then used to evaluate the comparative effectiveness of nine infection control interventions and six multiple-intervention bundles at reducing hospital-onset C. difficile infections and asymptomatic C. difficile colonization. RESULTS: The most effective two-intervention bundle, composed of daily cleaning with sporicidal disinfectant and an asymptomatic C. difficile screening protocol, reduced hospital-onset C. difficile infection by 62.0% and asymptomatic colonization by 88.4%. Six of the nine single-intervention strategies also significantly reduced both outcomes, including daily and terminal cleaning, asymptomatic C. difficile screening, healthcare worker and patient hand hygiene, and reducing room transfers. The remaining three single-intervention strategies, visitor hand hygiene and visitor and healthcare worker contact precautions, did not significantly reduce either measure. CONCLUSION: This is the first mathematical model to evaluate pediatric C. difficile transmission. Hospitals can achieve a high rate of reduction for hospital-onset C. difficile infections by prioritizing implementation of a small number of interventions with high fidelity. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6255673/ http://dx.doi.org/10.1093/ofid/ofy210.543 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Barker, Anna
Scaria, Elizabeth
Alagoz, Oguzhan
Sethi, Ajay
Safdar, Nasia
534. Clostridium difficile Reduction: An Agent-Based Simulation Modeling Approach to Evaluating Intervention Comparative Effectiveness at Pediatric Hospitals
title 534. Clostridium difficile Reduction: An Agent-Based Simulation Modeling Approach to Evaluating Intervention Comparative Effectiveness at Pediatric Hospitals
title_full 534. Clostridium difficile Reduction: An Agent-Based Simulation Modeling Approach to Evaluating Intervention Comparative Effectiveness at Pediatric Hospitals
title_fullStr 534. Clostridium difficile Reduction: An Agent-Based Simulation Modeling Approach to Evaluating Intervention Comparative Effectiveness at Pediatric Hospitals
title_full_unstemmed 534. Clostridium difficile Reduction: An Agent-Based Simulation Modeling Approach to Evaluating Intervention Comparative Effectiveness at Pediatric Hospitals
title_short 534. Clostridium difficile Reduction: An Agent-Based Simulation Modeling Approach to Evaluating Intervention Comparative Effectiveness at Pediatric Hospitals
title_sort 534. clostridium difficile reduction: an agent-based simulation modeling approach to evaluating intervention comparative effectiveness at pediatric hospitals
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6255673/
http://dx.doi.org/10.1093/ofid/ofy210.543
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