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Valuing Meta-Health Effects for Use in Economic Evaluations to Inform Reimbursement Decisions: A Review of the Evidence

Overview of attention for article published in PharmacoEconomics, November 2016
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Title
Valuing Meta-Health Effects for Use in Economic Evaluations to Inform Reimbursement Decisions: A Review of the Evidence
Published in
PharmacoEconomics, November 2016
DOI 10.1007/s40273-016-0470-4
Pubmed ID
Authors

Richard De Abreu Lourenco, Marion Haas, Jane Hall, Rosalie Viney

Abstract

This review explores the evidence from the literature regarding how meta-health effects (effects other than health resulting from the consumption of health care) are valued for use in economic evaluations. A systematic review of the published literature (the EMBASE, MEDLINE, PsycINFO, CINAHL, EconLit and SocINDEX databases were searched for publications in March 2016, plus manual searching) investigated the associations between study methods and the resulting values for meta-health effects estimated for use in economic evaluations. The review considered which meta-health effects were being valued and how this differed by evaluation approach, intervention investigated, source of funds and year of publication. Detailed reasons for differences observed between values for comparable meta-health effects were explored, accounting for the method of valuation. The search of the literature revealed 71 studies of interest; 35% involved drug interventions, with convenience, information and process of care the three meta-health effects most often investigated. Key associations with the meta-health effects were the evaluation method, the intervention, and the source of funds. Relative values for meta-health effects ranged from 0.9% to 68% of the overall value reported in a study. For a given meta-health effect, the magnitude of the effect evaluated and how the meta-health effect was described and framed relative to overall health explained the differences in relative values. Evidence from the literature shows variability in how meta-health effects are being measured for use in economic evaluations. Understanding the sources of that variability is important if decision makers are to have confidence in how meta-health effects are valued.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 28%
Student > Doctoral Student 2 11%
Student > Master 2 11%
Student > Ph. D. Student 2 11%
Researcher 2 11%
Other 2 11%
Unknown 3 17%
Readers by discipline Count As %
Medicine and Dentistry 4 22%
Computer Science 3 17%
Social Sciences 3 17%
Biochemistry, Genetics and Molecular Biology 1 6%
Economics, Econometrics and Finance 1 6%
Other 3 17%
Unknown 3 17%
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 17 November 2016.
All research outputs
#18,482,034
of 22,901,818 outputs
Outputs from PharmacoEconomics
#1,600
of 1,817 outputs
Outputs of similar age
#303,967
of 417,510 outputs
Outputs of similar age from PharmacoEconomics
#25
of 29 outputs
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