2020
DOI: 10.1017/ice.2020.247
|View full text |Cite
|
Sign up to set email alerts
|

Chasing the rate: An interrupted time series analysis of interventions targeting reported hospital onset Clostridioides difficile, 2013–2018

Abstract: Objective: To assess the impact of major interventions targeting infection control and diagnostic stewardship in efforts to decrease Clostridioides difficile hospital onset rates over a 6-year period. Design: Interrupted time series. Setting: The study was conducted in an 865-bed academic medical center. Methods: Monthly hospital-onset C. difficile infection (HO-CDI) rates from January 2013 through January 2019 were analyzed around 5 major intervention… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 18 publications
0
3
0
Order By: Relevance
“…Brite 2018 [13] Low risk Low risk Unclear risk Unclear risk Unclear risk Low risk Low risk Doll 2020 [15] Low risk Low risk Unclear risk Unclear risk Unclear risk Low risk Low risk McCord 2016 [24] Low risk Low risk Unclear risk Unclear risk Unclear risk Low risk Low risk Mitchell 2014 [27] Low risk Low risk Unclear risk Unclear risk Unclear risk Low risk Low risk Murphy 2020 [29] Low risk Low risk Unclear risk Unclear risk Unclear risk Low risk Low risk Pegues 2017 [34] Unclear risk Low risk Unclear risk Unclear risk Unclear risk Low risk Low risk Schaffzin 2020 [38]…”
Section: Other Risks Of Biasmentioning
confidence: 99%
See 1 more Smart Citation
“…Brite 2018 [13] Low risk Low risk Unclear risk Unclear risk Unclear risk Low risk Low risk Doll 2020 [15] Low risk Low risk Unclear risk Unclear risk Unclear risk Low risk Low risk McCord 2016 [24] Low risk Low risk Unclear risk Unclear risk Unclear risk Low risk Low risk Mitchell 2014 [27] Low risk Low risk Unclear risk Unclear risk Unclear risk Low risk Low risk Murphy 2020 [29] Low risk Low risk Unclear risk Unclear risk Unclear risk Low risk Low risk Pegues 2017 [34] Unclear risk Low risk Unclear risk Unclear risk Unclear risk Low risk Low risk Schaffzin 2020 [38]…”
Section: Other Risks Of Biasmentioning
confidence: 99%
“…J o u r n a l P r e -p r o o f 69 Appendix I -GRADE tables [8] Morikane 2020; [28] Napolitan o 2015; [32] Raggi 2018) [35] Multicentr [8] Attia 2020; [10] Boyce 2008; [11] Boyce 2017; [12] Brite 2018; [13] Green 2017; [16] Haas 2014; [17] Horn 2015; [19] Levin 2013 [22] Manian 2013; [23] McCord 2016; [24] McMullen 2020; [25] Miller 2015; [26] Napolitano [32] Passaretti 2013; [33] Pegues 2017; [34] Sampathkum ar 2019; [37] Vianna 2016) [39] C. difficile infections per 10,000 patient days, UV-C versus standard cleaning/disinfection 1 (Doll 2020) [15] Interrupte [8] Boyce 2017; [12] Green 2017; [16] Haas 2014; [17] Horn 2015; [19] Kitagawa 2021; [20] Mitchell 2014; [27] Morikane 2020; [28] Napolitan o 2015; [32] Passaretti 2013; [33] Raggi 2018; [35] Vianna 2016) [39] Multicentre [8] Boyce 2017; [12] Brite 2018; [13] Haas 2014; [17] Horn 2015; [19] Napolitano 2015; [32] Passaretti 2013; [33] Raggi 2018; [35] S...…”
Section: Model Checking and Interpretationmentioning
confidence: 99%
“…10 , [ 101 – 116 ] patient-zone environmental surfaces are frequently contaminated with a wide range of HAPs. While the frequency of contamination is greatest close to patients, genomic epidemiology has confirmed more distance spread [ 11 , 116 ]. While documenting high level CRE contamination (88% of surfaces) associated with colonized patients, the study by Shams also found that 80% of all contamination was associated with 20% of colonized patients which they characterized as “super shedders” [ 101 , 117 ] Although many of the HAI-associated pathogens in Fig.…”
Section: Additional Benefits Of Mitigating CD Environmental Transmissionmentioning
confidence: 99%