↓ Skip to main content

Antibiotic resistance in Swiss nursing homes: analysis of National Surveillance Data over an 11-year period between 2007 and 2017

Overview of attention for article published in Antimicrobial Resistance & Infection Control, July 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

news
1 news outlet
twitter
7 X users
reddit
1 Redditor

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
54 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Antibiotic resistance in Swiss nursing homes: analysis of National Surveillance Data over an 11-year period between 2007 and 2017
Published in
Antimicrobial Resistance & Infection Control, July 2018
DOI 10.1186/s13756-018-0378-1
Pubmed ID
Authors

Philipp Kohler, Rosamaria Fulchini, Werner C. Albrich, Adrian Egli, Carlo Balmelli, Stephan Harbarth, Delphine Héquet, Christian R. Kahlert, Stefan P. Kuster, Christiane Petignat, Matthias Schlegel, Andreas Kronenberg

Abstract

We evaluated data from isolates of nursing home (NH) patients sent to the Swiss centre for antibiotic resistance (ANRESIS). We focussed on carbapenem-resistance (CR) among Gram-negative pathogens, extended-spectrum cephalosporin-resistant (ESC-R) Escherichia coli/Klebsiella pneumoniae, methicillin-resistant Staphylococcus aureus (MRSA), and glycopeptide-resistant enterococci (GRE). NH patient isolates from 01/2007 to 10/2017 were extracted. Temporal trends in resistance were described and risk factors associated with ESC-R and MRSA were assessed. For every administrative subdivision in Switzerland (i.e. canton), we calculated a coverage rate, defined as number of beds of governmentally-supported nursing homes, which sent ≥1 isolate in each 2014, 2015, and 2016, divided by the total number of supported beds. We identified 16'804 samples from 9'940 patients. A majority of samples (12'040; 71.6%) originated from the French/Italian speaking part of Switzerland. ESC-R E. coli increased from 5% (16/299) in 2007 to 22% (191/884) in 2017 (P < 0.01), whereas MRSA decreased from 34% (35/102) to 26% (21/81) (P < 0.01). Provenience from the German (vs. French/Italian) speaking part of Switzerland was associated with decreased risk for ESC-R (OR 0.5, 95% CI 0.4-0.7) and for MRSA (OR 0.1, 95% CI 0.1-0.2). CR among Pseudomonas aeruginosa was 10% (105/1096) and showed an increasing trend over time; CR among Enterobacteriaceae (37/12'423, 0.3%) and GRE (5/1'273, 0.4%) were uncommon. Overall coverage rate was 9% (range 0-58% per canton). There was a significant difference between the French/Italian (median 13%, interquartile range [IQR] 4-43%) and the German speaking cantons (median 0%, IQR 0-5%) (P = 0.02). ESC-R among E. coli is emerging in Swiss NHs, whereas MRSA show a declining trend over time. A minority of NHs are represented in ANRESIS, with a preponderance of institutions from the French/Italian speaking regions. Efforts should be undertaken to improve resistance surveillance in this high-risk setting.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 17%
Student > Master 6 11%
Student > Bachelor 5 9%
Student > Postgraduate 4 7%
Student > Doctoral Student 3 6%
Other 8 15%
Unknown 19 35%
Readers by discipline Count As %
Medicine and Dentistry 12 22%
Immunology and Microbiology 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Nursing and Health Professions 2 4%
Agricultural and Biological Sciences 2 4%
Other 10 19%
Unknown 21 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 August 2018.
All research outputs
#2,722,220
of 25,377,790 outputs
Outputs from Antimicrobial Resistance & Infection Control
#330
of 1,456 outputs
Outputs of similar age
#53,033
of 340,056 outputs
Outputs of similar age from Antimicrobial Resistance & Infection Control
#19
of 37 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 340,056 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.