TY - JOUR
T1 - Understanding provider-level properties that influence the transmission of healthcare associated infections using network analysis
AU - Kang, Hyojung
AU - Waselewski, Marika E.
AU - Lobo, Jennifer M.
N1 - Funding Information:
This research was supported by the Coulter Translational Research Partnership, USA and the University of Virginia Health Center.
Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2019/12
Y1 - 2019/12
N2 - The goal of this study is to determine which provider-level properties (e.g., provider types, patient contact factors) of healthcare workers (HCW) have the greatest impact on the transmission of healthcare associated infections (HAIs). This study focused on Carbapenem-resistant Enterobacteriaceae (CRE) acquisition for patients who stayed in a long-term acute care hospital (LTACH) in central Virginia during July and August 2014. We used both patient data (e.g., bed movement, screening results for CRE) and provider activity data documented through the electronic medical record. We created a network of patients for each HCW and performed Poisson regression analysis including the network measures. A total of 204 providers saw at least one of the nine positive patients who stayed in the LTACH over the study period. From the Poisson regression, provider types, total number of patients each provider saw, LTACH workdays, average number of patients per day during LTACH workdays, and the provider's network were associated with the frequency of case contact. Our study demonstrated that in addition to patient data, provider activity logs that show provider-level properties can be used to assess the role of healthcare workers in transmitting HAIs and highlight risk mitigation opportunities.
AB - The goal of this study is to determine which provider-level properties (e.g., provider types, patient contact factors) of healthcare workers (HCW) have the greatest impact on the transmission of healthcare associated infections (HAIs). This study focused on Carbapenem-resistant Enterobacteriaceae (CRE) acquisition for patients who stayed in a long-term acute care hospital (LTACH) in central Virginia during July and August 2014. We used both patient data (e.g., bed movement, screening results for CRE) and provider activity data documented through the electronic medical record. We created a network of patients for each HCW and performed Poisson regression analysis including the network measures. A total of 204 providers saw at least one of the nine positive patients who stayed in the LTACH over the study period. From the Poisson regression, provider types, total number of patients each provider saw, LTACH workdays, average number of patients per day during LTACH workdays, and the provider's network were associated with the frequency of case contact. Our study demonstrated that in addition to patient data, provider activity logs that show provider-level properties can be used to assess the role of healthcare workers in transmitting HAIs and highlight risk mitigation opportunities.
KW - Electronic medical records
KW - Hospital associated infections
KW - Network model
KW - Poisson regression
KW - Provider activity logs
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U2 - 10.1016/j.orhc.2019.100223
DO - 10.1016/j.orhc.2019.100223
M3 - Article
AN - SCOPUS:85074127614
VL - 23
JO - Operations Research for Health Care
JF - Operations Research for Health Care
SN - 2211-6923
M1 - 100223
ER -