P-369. Skilled Nursing Facility Characteristics Associated with <i>Candida auris</i> Transmission in Maryland

Abstract Background C. auris is a multi-drug resistant organism with high morbidity and mortality that is increasing throughout the United States. Skilled nursing facilities (SNFs) play a large role in transmission of this pathogen in healthcare settings. In this study, we compare characteristics of SNFs with and without C. auris transmission in Maryland. Comparison of Resident Characteristics Between Facilities with and without C. auris Transmission Methods We conducted a retrospective analysis of all 226 Maryland SNFs to identify characteristics associated with C. auris transmission from June 2019, when transmission was first detected in the state, to December 2022. C. auris transmission was defined as ≥ 2 cases that were epidemiologically linked to the same SNF. SNF resident and facility characteristics were obtained from the public database Long Term Care Focus (LTCFocus) and the Maryland Health Care Commission (MHCC). A Maryland-specific patient transfer network was built using data derived from Centers for Medicare and Medicaid Services (CMS) fee for service beneficiary claims data linked to the CMS Data Set (Figure 1). Centrality measures were calculated based upon patient transfer networks. We used bivariate analyses to compare facilities with and without C. auris transmission. Comparison of Centrality Measures (Connectedness)Between Facilities with and without C. auris Transmission. Results Fifteen SNFs had transmission of C. auris during the study period. SNFs with transmission had a greater number of residents (mean 141 v 95), higher resident acuity, higher percentage of black residents (64% v 34%) and higher percentage of residents on Medicaid (74% v 59%) (Table 1). The patient transfer network of SNFs with transmission generally had higher measures of centrality, including Betweenness Centrality and PageRank (Table 2). Based on the network analysis, facilities that influence and serves as a bridge between other facilities have a higher likelihood of transmission. Network Characterization of Patient Transfer Network in Maryland Using CMS Data. Conclusion Maryland SNFs with more central patient transfer networks and with a higher proportion of residents on Medicaid, Black residents, and acutely ill were more likely to have C. auris transmission. Additional analyses on interactions between facility characteristics and transfer networks are needed to help direct infection prevention efforts. Disclosures All Authors: No reported disclosures

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Journal
Open Forum Infectious Diseases
Published
2025-01-29
DOI
https://doi.org/10.1093/ofid/ofae631.570
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
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article
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article

P-369. Skilled Nursing Facility Characteristics Associated with Candida auris Transmission in Maryland

Surbhi Leekha, Rebecca Perlmutter, Lauren L. Smith, Mary‐Claire Roghmann et al.
1 links
Open Forum Infectious Diseases
Health Systems, Economic Evaluations, Quality of Life
article

P-369. Skilled Nursing Facility Characteristics Associated with Candida auris Transmission in Maryland

Surbhi Leekha, Rebecca Perlmutter, Lauren L. Smith, Mary‐Claire Roghmann, Jamie Rubin, Jason R. Falvey, Elisabeth Vaeth, Gary Lin, Brittany Grace
article en

Abstract

Abstract Background C. auris is a multi-drug resistant organism with high morbidity and mortality that is increasing throughout the United States. Skilled nursing facilities (SNFs) play a large role in transmission of this pathogen in healthcare settings. In this study, we compare characteristics of SNFs with and without C. auris transmission in Maryland. Comparison of Resident Characteristics Between Facilities with and without C. auris Transmission Methods We conducted a retrospective analysis of all 226 Maryland SNFs to identify characteristics associated with C. auris transmission from June 2019, when transmission was first detected in the state, to December 2022. C. auris transmission was defined as ≥ 2 cases that were epidemiologically linked to the same SNF. SNF resident and facility characteristics were obtained from the public database Long Term Care Focus (LTCFocus) and the Maryland Health Care Commission (MHCC). A Maryland-specific patient transfer network was built using data derived from Centers for Medicare and Medicaid Services (CMS) fee for service beneficiary claims data linked to the CMS Data Set (Figure 1). Centrality measures were calculated based upon patient transfer networks. We used bivariate analyses to compare facilities with and without C. auris transmission. Comparison of Centrality Measures (Connectedness)Between Facilities with and without C. auris Transmission. Results Fifteen SNFs had transmission of C. auris during the study period. SNFs with transmission had a greater number of residents (mean 141 v 95), higher resident acuity, higher percentage of black residents (64% v 34%) and higher percentage of residents on Medicaid (74% v 59%) (Table 1). The patient transfer network of SNFs with transmission generally had higher measures of centrality, including Betweenness Centrality and PageRank (Table 2). Based on the network analysis, facilities that influence and serves as a bridge between other facilities have a higher likelihood of transmission. Network Characterization of Patient Transfer Network in Maryland Using CMS Data. Conclusion Maryland SNFs with more central patient transfer networks and with a higher proportion of residents on Medicaid, Black residents, and acutely ill were more likely to have C. auris transmission. Additional analyses on interactions between facility characteristics and transfer networks are needed to help direct infection prevention efforts. Disclosures All Authors: No reported disclosures

Open Forum Infectious DiseasesVol. 12(Supplement_1)
University of Maryland, Baltimore (US), Johns Hopkins University Applied Physics Laboratory (US), Maryland Department of Health (US), Baltimore City Health Department (US)
Openalex Percentile: Top 98%
Health Systems, Economic Evaluations, Quality of Life
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