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973. Inter-facility Patient Sharing and Clostridium difficile Incidence in the Ontario Hospital Network: A 13-Year Longitudinal Cohort Study of 116 Hospitals

BACKGROUND: Inter-facility patient movement plays an important role in the dissemination of antimicrobial resistance and C. difficile infection (CDI) throughout healthcare systems. However, the relative performance of different patient sharing metrics for predicting CDI incidence is not known. We co...

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Autores principales: Brown, Kevin, Daneman, Nick, Schwartz, Kevin, Langford, Bradley, Johnstone, Jennie, Adomako, Kwaku, Etches, Jacob, Garber, Gary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6252980/
http://dx.doi.org/10.1093/ofid/ofy209.089
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author Brown, Kevin
Daneman, Nick
Schwartz, Kevin
Langford, Bradley
Johnstone, Jennie
Adomako, Kwaku
Etches, Jacob
Garber, Gary
author_facet Brown, Kevin
Daneman, Nick
Schwartz, Kevin
Langford, Bradley
Johnstone, Jennie
Adomako, Kwaku
Etches, Jacob
Garber, Gary
author_sort Brown, Kevin
collection PubMed
description BACKGROUND: Inter-facility patient movement plays an important role in the dissemination of antimicrobial resistance and C. difficile infection (CDI) throughout healthcare systems. However, the relative performance of different patient sharing metrics for predicting CDI incidence is not known. We compared 3 different measures of inter-facility patient sharing as they relate to CDI incidence in Ontario facilities. METHODS: A retrospective cohort analysis was used to predict incident CDI (ICD-10 = A04.7 identified from Discharge Abstract Database records) across Ontario hospitals (N(hospitals) = 116) between April 1, 2003 to March 31, 2016. Patients with a stay of <3 days and those with a history of CDI in the prior 90 days were excluded from the risk set but not from patient sharing metrics. Poisson regression models with facility-level random effects were used to predict facility CDI incidence (per 1,000 admissions) and measure the percent change in facility-level variance (PCV). The 3 metrics of inter-facility patient sharing included: (1) “importation”—the rate of patients with a discharge from another distinct facility in prior 90 days, (2) “incidence-weighted importation”—equal to importation weighted by the incidence of CDI in the previous facility, and (3) “case importation”—importation of patients with a history of CDI. RESULTS: Over the 13-year period, we observed 58,427 cases of healthcare-associated CDI among 12,750,000 admissions. Facility CDI incidence ranged from 2.9 to 19.6 per 1,000 admissions (6.8-fold range). Patient sharing metrics were strongly related to facility CDI incidence (figure). In models adjusting for facility risk factors, all 3 measures still explained an important portion of inter-facility variation in CDI incidence: importation (PCV = 5%, P = 0.01), incidence-weighted importation (PCV = 15%, P < 0.001), and “case importation” (PCV = 48%, P < 0.001). CONCLUSION: We observed a substantial variation in facility CDI incidence that was explained by linkages between acute care facilities, especially linkage to other facilities with a high incidence of CDI. Facility infection prevention staff should consider incorporating the facility CDI incidence into risk stratification assessments of patient transfers. [Image: see text] DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-62529802018-11-28 973. Inter-facility Patient Sharing and Clostridium difficile Incidence in the Ontario Hospital Network: A 13-Year Longitudinal Cohort Study of 116 Hospitals Brown, Kevin Daneman, Nick Schwartz, Kevin Langford, Bradley Johnstone, Jennie Adomako, Kwaku Etches, Jacob Garber, Gary Open Forum Infect Dis Abstracts BACKGROUND: Inter-facility patient movement plays an important role in the dissemination of antimicrobial resistance and C. difficile infection (CDI) throughout healthcare systems. However, the relative performance of different patient sharing metrics for predicting CDI incidence is not known. We compared 3 different measures of inter-facility patient sharing as they relate to CDI incidence in Ontario facilities. METHODS: A retrospective cohort analysis was used to predict incident CDI (ICD-10 = A04.7 identified from Discharge Abstract Database records) across Ontario hospitals (N(hospitals) = 116) between April 1, 2003 to March 31, 2016. Patients with a stay of <3 days and those with a history of CDI in the prior 90 days were excluded from the risk set but not from patient sharing metrics. Poisson regression models with facility-level random effects were used to predict facility CDI incidence (per 1,000 admissions) and measure the percent change in facility-level variance (PCV). The 3 metrics of inter-facility patient sharing included: (1) “importation”—the rate of patients with a discharge from another distinct facility in prior 90 days, (2) “incidence-weighted importation”—equal to importation weighted by the incidence of CDI in the previous facility, and (3) “case importation”—importation of patients with a history of CDI. RESULTS: Over the 13-year period, we observed 58,427 cases of healthcare-associated CDI among 12,750,000 admissions. Facility CDI incidence ranged from 2.9 to 19.6 per 1,000 admissions (6.8-fold range). Patient sharing metrics were strongly related to facility CDI incidence (figure). In models adjusting for facility risk factors, all 3 measures still explained an important portion of inter-facility variation in CDI incidence: importation (PCV = 5%, P = 0.01), incidence-weighted importation (PCV = 15%, P < 0.001), and “case importation” (PCV = 48%, P < 0.001). CONCLUSION: We observed a substantial variation in facility CDI incidence that was explained by linkages between acute care facilities, especially linkage to other facilities with a high incidence of CDI. Facility infection prevention staff should consider incorporating the facility CDI incidence into risk stratification assessments of patient transfers. [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6252980/ http://dx.doi.org/10.1093/ofid/ofy209.089 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
Brown, Kevin
Daneman, Nick
Schwartz, Kevin
Langford, Bradley
Johnstone, Jennie
Adomako, Kwaku
Etches, Jacob
Garber, Gary
973. Inter-facility Patient Sharing and Clostridium difficile Incidence in the Ontario Hospital Network: A 13-Year Longitudinal Cohort Study of 116 Hospitals
title 973. Inter-facility Patient Sharing and Clostridium difficile Incidence in the Ontario Hospital Network: A 13-Year Longitudinal Cohort Study of 116 Hospitals
title_full 973. Inter-facility Patient Sharing and Clostridium difficile Incidence in the Ontario Hospital Network: A 13-Year Longitudinal Cohort Study of 116 Hospitals
title_fullStr 973. Inter-facility Patient Sharing and Clostridium difficile Incidence in the Ontario Hospital Network: A 13-Year Longitudinal Cohort Study of 116 Hospitals
title_full_unstemmed 973. Inter-facility Patient Sharing and Clostridium difficile Incidence in the Ontario Hospital Network: A 13-Year Longitudinal Cohort Study of 116 Hospitals
title_short 973. Inter-facility Patient Sharing and Clostridium difficile Incidence in the Ontario Hospital Network: A 13-Year Longitudinal Cohort Study of 116 Hospitals
title_sort 973. inter-facility patient sharing and clostridium difficile incidence in the ontario hospital network: a 13-year longitudinal cohort study of 116 hospitals
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6252980/
http://dx.doi.org/10.1093/ofid/ofy209.089
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