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Methods to construct a step-by-step beginner’s guide to decision analytic cost-effectiveness modeling

Overview of attention for article published in ClinicoEconomics and Outcomes Research: CEOR, October 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Citations

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49 Mendeley
Title
Methods to construct a step-by-step beginner’s guide to decision analytic cost-effectiveness modeling
Published in
ClinicoEconomics and Outcomes Research: CEOR, October 2016
DOI 10.2147/ceor.s113569
Pubmed ID
Authors

Tamlyn Rautenberg, Claire Hulme, Richard Edlin

Abstract

Although guidance on good research practice in health economic modeling is widely available, there is still a need for a simpler instructive resource which could guide a beginner modeler alongside modeling for the first time. To develop a beginner's guide to be used as a handheld guide contemporaneous to the model development process. A systematic review of best practice guidelines was used to construct a framework of steps undertaken during the model development process. Focused methods review supplemented this framework. Consensus was obtained among a group of model developers to review and finalize the content of the preliminary beginner's guide. The final beginner's guide was used to develop cost-effectiveness models. Thirty-two best practice guidelines were data extracted, synthesized, and critically evaluated to identify steps for model development, which formed a framework for the beginner's guide. Within five phases of model development, eight broad submethods were identified and 19 methodological reviews were conducted to develop the content of the draft beginner's guide. Two rounds of consensus agreement were undertaken to reach agreement on the final beginner's guide. To assess fitness for purpose (ease of use and completeness), models were developed independently and by the researcher using the beginner's guide. A combination of systematic review, methods reviews, consensus agreement, and validation was used to construct a step-by-step beginner's guide for developing decision analytical cost-effectiveness models. The final beginner's guide is a step-by-step resource to accompany the model development process from understanding the problem to be modeled, model conceptualization, model implementation, and model checking through to reporting of the model results.

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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 %
Student > Master 9 18%
Other 6 12%
Unspecified 5 10%
Student > Postgraduate 4 8%
Researcher 3 6%
Other 11 22%
Unknown 11 22%
Readers by discipline Count As %
Medicine and Dentistry 14 29%
Economics, Econometrics and Finance 5 10%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Business, Management and Accounting 3 6%
Nursing and Health Professions 2 4%
Other 7 14%
Unknown 14 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 02 July 2019.
All research outputs
#5,441,881
of 26,311,549 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#117
of 534 outputs
Outputs of similar age
#82,041
of 335,839 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#5
of 22 outputs
Altmetric has tracked 26,311,549 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 534 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done well, scoring higher than 78% 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 335,839 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 75% of its contemporaries.
We're also able to compare this research output to 22 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.