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A multi-center nested case-control study on hospitalization costs and length of stay due to healthcare-associated infection

Overview of attention for article published in Antimicrobial Resistance & Infection Control, August 2018
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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 (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

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2 news outlets
twitter
3 X users
facebook
1 Facebook page

Citations

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27 Dimensions

Readers on

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49 Mendeley
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Title
A multi-center nested case-control study on hospitalization costs and length of stay due to healthcare-associated infection
Published in
Antimicrobial Resistance & Infection Control, August 2018
DOI 10.1186/s13756-018-0386-1
Pubmed ID
Authors

Yu Lü, Min Hong Cai, Jian Cheng, Kun Zou, Qian Xiang, Jia Yu Wu, Dao Qiong Wei, Zhong Hua Zhou, Hui Wang, Chen Wang, Jing Chen

Abstract

In 2018, the Chinese government demanded nationwide implementation of medical insurance payment methods based on Single-Disease Payment (SDP), but during the operation process the medical insurance system did not fully consider the extra economic burden caused by healthcare-associated infection (HAI). HAIs can prolong the length of stay and increase the hospitalization costs, but only a few studies have been conducted in Sichuan province, China. We evaluated the hospitalization costs and length of stay due to HAI in Sichuan province based on the prevalence survey, and provided data reference for China's medical insurance reform. In the hospitals surveyed on the prevalence of HAI, a multi-center nested case-control study was performed by a paired method. The study period was from 6 September 2016 to 30 November 2016. Binary outcomes were tested using χ2 test, continuous outcomes were tested using Wilcoxon matched-pairs signed rank test, intra-group comparisons were tested using multiple linear regression analysis. A total of 225 pairs/450 patients were selected in 51 hospitals, and 170 pairs/350 patients were successfully matched. The case fatality rate was 5.14% for the HAIs patients and 3.43% for non-HAs patients, there was no significant difference (χ2 = 0.627, P = 0.429); the median length of stay in patients with HAIs was 21 days, longer than that of patients with non-HAI 16 days, the median of the difference between matched-pairs was 5 days, the difference was statistically significant (Z = 4.896, P = 0.000). The median hospitalization costs of patients with HAI were €1732.83, higher than that of patients with non-HAI €1095.29, the median of the difference between matched-pairs were €431.34, the difference was statistically significant (Z = 6.413, P = 0.000). Multiple linear regression results showed that HAIs at different sites have caused different economic burdens, but in different economic regions, the difference was not statistically significant. In Sichuan, the hospitalization costs and length of stay caused by HAI should be given special attention in the current medical insurance reform. The proportion and scope of medical payment for patients with HAI at different sites should be different. Efforts need to be taken to incentivize reduction of HAI rates which will reduce hospitalization costs and length of stay.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 12%
Student > Bachelor 5 10%
Student > Postgraduate 5 10%
Student > Master 5 10%
Student > Doctoral Student 3 6%
Other 6 12%
Unknown 19 39%
Readers by discipline Count As %
Medicine and Dentistry 13 27%
Nursing and Health Professions 8 16%
Immunology and Microbiology 3 6%
Social Sciences 2 4%
Arts and Humanities 1 2%
Other 3 6%
Unknown 19 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 17 August 2018.
All research outputs
#1,886,957
of 24,003,070 outputs
Outputs from Antimicrobial Resistance & Infection Control
#214
of 1,347 outputs
Outputs of similar age
#39,626
of 334,562 outputs
Outputs of similar age from Antimicrobial Resistance & Infection Control
#16
of 37 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 83% 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 334,562 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 88% 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 56% of its contemporaries.