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A systematic review of modelling approaches in economic evaluations of health interventions for drug and alcohol problems

Overview of attention for article published in BMC Health Services Research, April 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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19 X users

Citations

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26 Dimensions

Readers on

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144 Mendeley
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Title
A systematic review of modelling approaches in economic evaluations of health interventions for drug and alcohol problems
Published in
BMC Health Services Research, April 2016
DOI 10.1186/s12913-016-1368-8
Pubmed ID
Authors

Van Phuong Hoang, Marian Shanahan, Nagesh Shukla, Pascal Perez, Michael Farrell, Alison Ritter

Abstract

The overarching goal of health policies is to maximize health and societal benefits. Economic evaluations can play a vital role in assessing whether or not such benefits occur. This paper reviews the application of modelling techniques in economic evaluations of drug and alcohol interventions with regard to (i) modelling paradigms themselves; (ii) perspectives of costs and benefits and (iii) time frame. Papers that use modelling approaches for economic evaluations of drug and alcohol interventions were identified by carrying out searches of major databases. Thirty eight papers met the inclusion criteria. Overall, the cohort Markov models remain the most popular approach, followed by decision trees, Individual based model and System dynamics model (SD). Most of the papers adopted a long term time frame to reflect the long term costs and benefits of health interventions. However, it was fairly common among the reviewed papers to adopt a narrow perspective that only takes into account costs and benefits borne by the health care sector. This review paper informs policy makers about the availability of modelling techniques that can be used to enhance the quality of economic evaluations for drug and alcohol treatment interventions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Spain 1 <1%
United States 1 <1%
Unknown 139 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 19%
Student > Ph. D. Student 18 13%
Researcher 15 10%
Student > Bachelor 14 10%
Student > Doctoral Student 11 8%
Other 26 18%
Unknown 33 23%
Readers by discipline Count As %
Medicine and Dentistry 28 19%
Nursing and Health Professions 16 11%
Economics, Econometrics and Finance 16 11%
Engineering 8 6%
Social Sciences 7 5%
Other 26 18%
Unknown 43 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 15 December 2016.
All research outputs
#3,054,635
of 23,509,982 outputs
Outputs from BMC Health Services Research
#1,365
of 7,830 outputs
Outputs of similar age
#50,066
of 302,397 outputs
Outputs of similar age from BMC Health Services Research
#20
of 90 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,830 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 82% 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 302,397 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 83% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.