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How automatic notification of infectious disease specialists impacted the management of Staphylococcus aureus bacteremia in a community hospital setting
Objective: The objective of this study was to review the impact of an automatic email notification to infectious disease consultants. Design: Cases were identified from a community hospital system microbiology database by at least one positive blood culture. Records were reviewed both before (2013 a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292366/ https://www.ncbi.nlm.nih.gov/pubmed/30559938 http://dx.doi.org/10.1080/20009666.2018.1537462 |
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author | Roe, Nicole Wang, Michael Wisniewski, Samuel J. Douce, Richard |
author_facet | Roe, Nicole Wang, Michael Wisniewski, Samuel J. Douce, Richard |
author_sort | Roe, Nicole |
collection | PubMed |
description | Objective: The objective of this study was to review the impact of an automatic email notification to infectious disease consultants. Design: Cases were identified from a community hospital system microbiology database by at least one positive blood culture. Records were reviewed both before (2013 and 2014) and after (2015 and 2016) the implementation of the automated email system (intervention). Prior to this policy, consultation with the infectious disease (ID) specialist was at the discretion of the primary team. Results: There were no significant differences in 30-day mortality between the two groups (18 vs 20%, p = 0.10). However, a trend of shorter hospital stays (12.2 vs 9.5 days, p = 0.03) and reduced 30 day readmissions (40% vs 19%, p = 0.03) was observed and antibiotics prescribed for complicated cases was more appropriate (57% vs 85%, p = 0.004). Conclusions: In this study population, the implementation of an automatic email generator to ID specialists was associated with a shorter hospital length of stay, less 30-day readmissions and more appropriate length of antibiotics prescribed in complicated cases of SAB. The authors recommend future studies replicating the methodology employed here with larger sample sizes before consideration of employing a similar automatic email ID consult generation at other health systems. |
format | Online Article Text |
id | pubmed-6292366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-62923662018-12-17 How automatic notification of infectious disease specialists impacted the management of Staphylococcus aureus bacteremia in a community hospital setting Roe, Nicole Wang, Michael Wisniewski, Samuel J. Douce, Richard J Community Hosp Intern Med Perspect Research Article Objective: The objective of this study was to review the impact of an automatic email notification to infectious disease consultants. Design: Cases were identified from a community hospital system microbiology database by at least one positive blood culture. Records were reviewed both before (2013 and 2014) and after (2015 and 2016) the implementation of the automated email system (intervention). Prior to this policy, consultation with the infectious disease (ID) specialist was at the discretion of the primary team. Results: There were no significant differences in 30-day mortality between the two groups (18 vs 20%, p = 0.10). However, a trend of shorter hospital stays (12.2 vs 9.5 days, p = 0.03) and reduced 30 day readmissions (40% vs 19%, p = 0.03) was observed and antibiotics prescribed for complicated cases was more appropriate (57% vs 85%, p = 0.004). Conclusions: In this study population, the implementation of an automatic email generator to ID specialists was associated with a shorter hospital length of stay, less 30-day readmissions and more appropriate length of antibiotics prescribed in complicated cases of SAB. The authors recommend future studies replicating the methodology employed here with larger sample sizes before consideration of employing a similar automatic email ID consult generation at other health systems. Taylor & Francis 2018-12-11 /pmc/articles/PMC6292366/ /pubmed/30559938 http://dx.doi.org/10.1080/20009666.2018.1537462 Text en © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of Greater Baltimore Medical Center. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Roe, Nicole Wang, Michael Wisniewski, Samuel J. Douce, Richard How automatic notification of infectious disease specialists impacted the management of Staphylococcus aureus bacteremia in a community hospital setting |
title | How automatic notification of infectious disease specialists impacted the management of Staphylococcus aureus bacteremia in a community hospital setting |
title_full | How automatic notification of infectious disease specialists impacted the management of Staphylococcus aureus bacteremia in a community hospital setting |
title_fullStr | How automatic notification of infectious disease specialists impacted the management of Staphylococcus aureus bacteremia in a community hospital setting |
title_full_unstemmed | How automatic notification of infectious disease specialists impacted the management of Staphylococcus aureus bacteremia in a community hospital setting |
title_short | How automatic notification of infectious disease specialists impacted the management of Staphylococcus aureus bacteremia in a community hospital setting |
title_sort | how automatic notification of infectious disease specialists impacted the management of staphylococcus aureus bacteremia in a community hospital setting |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292366/ https://www.ncbi.nlm.nih.gov/pubmed/30559938 http://dx.doi.org/10.1080/20009666.2018.1537462 |
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