Cargando…

Modeling Interventions to Reduce the Spread of Multidrug-Resistant Organisms Between Health Care Facilities in a Region

IMPORTANCE: Multidrug-resistant organisms (MDROs) can spread across health care facilities in a region. Because of limited resources, certain interventions can be implemented in only some facilities; thus, decision-makers need to evaluate which interventions may be best to implement. OBJECTIVE: To i...

Descripción completa

Detalles Bibliográficos
Autores principales: Bartsch, Sarah M., Wong, Kim F., Mueller, Leslie E., Gussin, Gabrielle M., McKinnell, James A., Tjoa, Thomas, Wedlock, Patrick T., He, Jiayi, Chang, Justin, Gohil, Shruti K., Miller, Loren G., Huang, Susan S., Lee, Bruce Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339938/
https://www.ncbi.nlm.nih.gov/pubmed/34347060
http://dx.doi.org/10.1001/jamanetworkopen.2021.19212
_version_ 1783733702839238656
author Bartsch, Sarah M.
Wong, Kim F.
Mueller, Leslie E.
Gussin, Gabrielle M.
McKinnell, James A.
Tjoa, Thomas
Wedlock, Patrick T.
He, Jiayi
Chang, Justin
Gohil, Shruti K.
Miller, Loren G.
Huang, Susan S.
Lee, Bruce Y.
author_facet Bartsch, Sarah M.
Wong, Kim F.
Mueller, Leslie E.
Gussin, Gabrielle M.
McKinnell, James A.
Tjoa, Thomas
Wedlock, Patrick T.
He, Jiayi
Chang, Justin
Gohil, Shruti K.
Miller, Loren G.
Huang, Susan S.
Lee, Bruce Y.
author_sort Bartsch, Sarah M.
collection PubMed
description IMPORTANCE: Multidrug-resistant organisms (MDROs) can spread across health care facilities in a region. Because of limited resources, certain interventions can be implemented in only some facilities; thus, decision-makers need to evaluate which interventions may be best to implement. OBJECTIVE: To identify a group of target facilities and assess which MDRO intervention would be best to implement in the Shared Healthcare Intervention to Eliminate Life-threatening Dissemination of MDROs in Orange County, a large regional public health collaborative in Orange County, California. DESIGN, SETTING, AND PARTICIPANTS: An agent-based model of health care facilities was developed in 2016 to simulate the spread of methicillin-resistant Staphylococcus aureus (MRSA) and carbapenem-resistant Enterobacteriaceae (CRE) for 10 years starting in 2010 and to simulate the use of various MDRO interventions for 3 years starting in 2017. All health care facilities (23 hospitals, 5 long-term acute care hospitals, and 74 nursing homes) serving adult inpatients in Orange County, California, were included, and 42 target facilities were identified via network analyses. EXPOSURES: Increasing contact precaution effectiveness, increasing interfacility communication about patients’ MDRO status, and performing decolonization using antiseptic bathing soap and a nasal product in a specific group of target facilities. MAIN OUTCOMES AND MEASURES: MRSA and CRE prevalence and number of new carriers (ie, transmission events). RESULTS: Compared with continuing infection control measures used in Orange County as of 2017, increasing contact precaution effectiveness from 40% to 64% in 42 target facilities yielded relative reductions of 0.8% (range, 0.5%-1.1%) in MRSA prevalence and 2.4% (range, 0.8%-4.6%) in CRE prevalence in health care facilities countywide after 3 years, averting 761 new MRSA transmission events (95% CI, 756-765 events) and 166 new CRE transmission events (95% CI, 158-174 events). Increasing interfacility communication of patients’ MDRO status to 80% in these target facilities produced no changes in the prevalence or transmission of MRDOs. Implementing decolonization procedures (clearance probability: 39% in hospitals, 27% in long-term acute care facilities, and 3% in nursing homes) yielded a relative reduction of 23.7% (range, 23.5%-23.9%) in MRSA prevalence, averting 3515 new transmission events (95% CI, 3509-3521 events). Increasing the effectiveness of antiseptic bathing soap to 48% yielded a relative reduction of 39.9% (range, 38.5%-41.5%) in CRE prevalence, averting 1435 new transmission events (95% CI, 1427-1442 events). CONCLUSIONS AND RELEVANCE: The findings of this study highlight the ways in which modeling can inform design of regional interventions and suggested that decolonization would be the best strategy for the Shared Healthcare Intervention to Eliminate Life-threatening Dissemination of MDROs in Orange County.
format Online
Article
Text
id pubmed-8339938
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher American Medical Association
record_format MEDLINE/PubMed
spelling pubmed-83399382021-08-09 Modeling Interventions to Reduce the Spread of Multidrug-Resistant Organisms Between Health Care Facilities in a Region Bartsch, Sarah M. Wong, Kim F. Mueller, Leslie E. Gussin, Gabrielle M. McKinnell, James A. Tjoa, Thomas Wedlock, Patrick T. He, Jiayi Chang, Justin Gohil, Shruti K. Miller, Loren G. Huang, Susan S. Lee, Bruce Y. JAMA Netw Open Original Investigation IMPORTANCE: Multidrug-resistant organisms (MDROs) can spread across health care facilities in a region. Because of limited resources, certain interventions can be implemented in only some facilities; thus, decision-makers need to evaluate which interventions may be best to implement. OBJECTIVE: To identify a group of target facilities and assess which MDRO intervention would be best to implement in the Shared Healthcare Intervention to Eliminate Life-threatening Dissemination of MDROs in Orange County, a large regional public health collaborative in Orange County, California. DESIGN, SETTING, AND PARTICIPANTS: An agent-based model of health care facilities was developed in 2016 to simulate the spread of methicillin-resistant Staphylococcus aureus (MRSA) and carbapenem-resistant Enterobacteriaceae (CRE) for 10 years starting in 2010 and to simulate the use of various MDRO interventions for 3 years starting in 2017. All health care facilities (23 hospitals, 5 long-term acute care hospitals, and 74 nursing homes) serving adult inpatients in Orange County, California, were included, and 42 target facilities were identified via network analyses. EXPOSURES: Increasing contact precaution effectiveness, increasing interfacility communication about patients’ MDRO status, and performing decolonization using antiseptic bathing soap and a nasal product in a specific group of target facilities. MAIN OUTCOMES AND MEASURES: MRSA and CRE prevalence and number of new carriers (ie, transmission events). RESULTS: Compared with continuing infection control measures used in Orange County as of 2017, increasing contact precaution effectiveness from 40% to 64% in 42 target facilities yielded relative reductions of 0.8% (range, 0.5%-1.1%) in MRSA prevalence and 2.4% (range, 0.8%-4.6%) in CRE prevalence in health care facilities countywide after 3 years, averting 761 new MRSA transmission events (95% CI, 756-765 events) and 166 new CRE transmission events (95% CI, 158-174 events). Increasing interfacility communication of patients’ MDRO status to 80% in these target facilities produced no changes in the prevalence or transmission of MRDOs. Implementing decolonization procedures (clearance probability: 39% in hospitals, 27% in long-term acute care facilities, and 3% in nursing homes) yielded a relative reduction of 23.7% (range, 23.5%-23.9%) in MRSA prevalence, averting 3515 new transmission events (95% CI, 3509-3521 events). Increasing the effectiveness of antiseptic bathing soap to 48% yielded a relative reduction of 39.9% (range, 38.5%-41.5%) in CRE prevalence, averting 1435 new transmission events (95% CI, 1427-1442 events). CONCLUSIONS AND RELEVANCE: The findings of this study highlight the ways in which modeling can inform design of regional interventions and suggested that decolonization would be the best strategy for the Shared Healthcare Intervention to Eliminate Life-threatening Dissemination of MDROs in Orange County. American Medical Association 2021-08-04 /pmc/articles/PMC8339938/ /pubmed/34347060 http://dx.doi.org/10.1001/jamanetworkopen.2021.19212 Text en Copyright 2021 Bartsch SM et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Bartsch, Sarah M.
Wong, Kim F.
Mueller, Leslie E.
Gussin, Gabrielle M.
McKinnell, James A.
Tjoa, Thomas
Wedlock, Patrick T.
He, Jiayi
Chang, Justin
Gohil, Shruti K.
Miller, Loren G.
Huang, Susan S.
Lee, Bruce Y.
Modeling Interventions to Reduce the Spread of Multidrug-Resistant Organisms Between Health Care Facilities in a Region
title Modeling Interventions to Reduce the Spread of Multidrug-Resistant Organisms Between Health Care Facilities in a Region
title_full Modeling Interventions to Reduce the Spread of Multidrug-Resistant Organisms Between Health Care Facilities in a Region
title_fullStr Modeling Interventions to Reduce the Spread of Multidrug-Resistant Organisms Between Health Care Facilities in a Region
title_full_unstemmed Modeling Interventions to Reduce the Spread of Multidrug-Resistant Organisms Between Health Care Facilities in a Region
title_short Modeling Interventions to Reduce the Spread of Multidrug-Resistant Organisms Between Health Care Facilities in a Region
title_sort modeling interventions to reduce the spread of multidrug-resistant organisms between health care facilities in a region
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339938/
https://www.ncbi.nlm.nih.gov/pubmed/34347060
http://dx.doi.org/10.1001/jamanetworkopen.2021.19212
work_keys_str_mv AT bartschsarahm modelinginterventionstoreducethespreadofmultidrugresistantorganismsbetweenhealthcarefacilitiesinaregion
AT wongkimf modelinginterventionstoreducethespreadofmultidrugresistantorganismsbetweenhealthcarefacilitiesinaregion
AT muellerlesliee modelinginterventionstoreducethespreadofmultidrugresistantorganismsbetweenhealthcarefacilitiesinaregion
AT gussingabriellem modelinginterventionstoreducethespreadofmultidrugresistantorganismsbetweenhealthcarefacilitiesinaregion
AT mckinnelljamesa modelinginterventionstoreducethespreadofmultidrugresistantorganismsbetweenhealthcarefacilitiesinaregion
AT tjoathomas modelinginterventionstoreducethespreadofmultidrugresistantorganismsbetweenhealthcarefacilitiesinaregion
AT wedlockpatrickt modelinginterventionstoreducethespreadofmultidrugresistantorganismsbetweenhealthcarefacilitiesinaregion
AT hejiayi modelinginterventionstoreducethespreadofmultidrugresistantorganismsbetweenhealthcarefacilitiesinaregion
AT changjustin modelinginterventionstoreducethespreadofmultidrugresistantorganismsbetweenhealthcarefacilitiesinaregion
AT gohilshrutik modelinginterventionstoreducethespreadofmultidrugresistantorganismsbetweenhealthcarefacilitiesinaregion
AT millerloreng modelinginterventionstoreducethespreadofmultidrugresistantorganismsbetweenhealthcarefacilitiesinaregion
AT huangsusans modelinginterventionstoreducethespreadofmultidrugresistantorganismsbetweenhealthcarefacilitiesinaregion
AT leebrucey modelinginterventionstoreducethespreadofmultidrugresistantorganismsbetweenhealthcarefacilitiesinaregion