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AbobotulinumtoxinA in the management of cervical dystonia in the United Kingdom: a budget impact analysis

Overview of attention for article published in ClinicoEconomics and Outcomes Research: CEOR, September 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

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3 X users
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Citations

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6 Dimensions

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22 Mendeley
Title
AbobotulinumtoxinA in the management of cervical dystonia in the United Kingdom: a budget impact analysis
Published in
ClinicoEconomics and Outcomes Research: CEOR, September 2015
DOI 10.2147/ceor.s86355
Pubmed ID
Authors

Seye Abogunrin, Sarah Brand, Kamal Desai, Jerome Dinet, Sylvie Gabriel, Timothy Harrower

Abstract

Cervical dystonia (CD) can be effectively managed by a combination of botulinum neurotoxin A (BoNT-A) and conventional therapy (skeletal muscle relaxants and rehabilitative therapy), but the costs of different interventions in the UK vary. A budget impact model was developed from the UK payer perspective with a 5-year time horizon to evaluate the effects of changing market shares of abobotulinumtoxinA, onabotulinumtoxinA, and incobotulinumtoxinA, and best supportive care from the UK payer perspective. Epidemiological and resource use data were retrieved from the published literature and clinical expert opinion. Deterministic sensitivity analyses were performed to determine the parameters most influential on the budgetary findings under base case assumptions. Under base case assumptions, an increased uptake of abobotulinumtoxinA showed an accumulated savings of £2,250,992 by year 5. Treatment per patient per year with onabotulinumtoxinA and incobotulinumtoxinA costs more when compared to treatment with abobotulinumtoxinA. One-way sensitivity analyses showed that the prevalence of CD, dose per injection of each of the BoNT-As, and time to reinjection of incobotulinumtoxinA and abobotulinumtoxinA influenced the base case findings most. There is potential for cost savings associated with the greater use of abobotulinumtoxinA rather than other BoNT-A treatments, permitting more patients to benefit more from effective BoNT-A treatment with a fixed budget.

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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 18%
Other 3 14%
Student > Bachelor 3 14%
Student > Master 3 14%
Student > Postgraduate 2 9%
Other 1 5%
Unknown 6 27%
Readers by discipline Count As %
Medicine and Dentistry 7 32%
Agricultural and Biological Sciences 2 9%
Economics, Econometrics and Finance 2 9%
Business, Management and Accounting 1 5%
Unspecified 1 5%
Other 2 9%
Unknown 7 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 September 2015.
All research outputs
#14,388,554
of 25,374,647 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#251
of 531 outputs
Outputs of similar age
#124,794
of 276,791 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#6
of 10 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 531 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has gotten more attention than average, scoring higher than 51% 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 276,791 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.