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Assessing the opportunity costs of patients with multidrug-resistant organisms in hospitals

Overview of attention for article published in HEPAC Health Economics in Prevention and Care, December 2017
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Title
Assessing the opportunity costs of patients with multidrug-resistant organisms in hospitals
Published in
HEPAC Health Economics in Prevention and Care, December 2017
DOI 10.1007/s10198-017-0949-8
Pubmed ID
Authors

Claudia Hübner, Walter Ried, Steffen Flessa

Abstract

The concept of opportunity cost can be applied to the utilization of hospital beds with special focus on patients colonized or infected with multidrug-resistant organisms. Blocked beds due to isolation measures or increased length of stay may result in opportunity costs if newly arriving patients have to be rejected and the hospital is confronted with revenue foregone. However, the amount of these costs is unclear, since different approaches are used in the literature to determine the respective costs. Our paper develops a concept to assess opportunity costs from the perspective of a hospital. The analysis is two-stage. In a first step, the probability of rejecting a patient due to over-occupancy in a hospital is calculated with a queuing model and a Monte Carlo simulation taking various assumptions into account. In a second step, the amount of the opportunity costs is calculated as an expected value applying a stochastic approach based on a potential patient pool. Opportunity costs will occur only with a probability that is influenced, among others, by current bed occupancy rates. They have to be measured by average net revenue foregone, i.e., by the difference between average revenue foregone and average costs avoided. Previous studies have a tendency of overestimating the occurrence or the size of opportunity costs with regard to the use of hospital beds. Nonetheless, its influence on the hospital budget is crucial and should be determined exactly.

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X Demographics

The data shown below were collected from the profiles of 2 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 13%
Student > Ph. D. Student 2 13%
Other 1 6%
Lecturer 1 6%
Unspecified 1 6%
Other 3 19%
Unknown 6 38%
Readers by discipline Count As %
Medicine and Dentistry 3 19%
Business, Management and Accounting 1 6%
Unspecified 1 6%
Economics, Econometrics and Finance 1 6%
Engineering 1 6%
Other 0 0%
Unknown 9 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 September 2018.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#919
of 1,303 outputs
Outputs of similar age
#279,466
of 444,243 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#10
of 16 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 444,243 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.