Literature DB >> 27858368

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

Richard De Abreu Lourenco1, Marion Haas2, Jane Hall2, Rosalie Viney2.   

Abstract

OBJECTIVE: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.

Mesh:

Year:  2017        PMID: 27858368     DOI: 10.1007/s40273-016-0470-4

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  83 in total

1.  Valuing the economic benefits of complex interventions: when maximising health is not sufficient.

Authors:  Katherine Payne; Marion McAllister; Linda M Davies
Journal:  Health Econ       Date:  2012-02-06       Impact factor: 3.046

2.  Differences in preferences for obstetric care between nulliparae and their partners in the Netherlands: a discrete-choice experiment.

Authors:  Marijke Hendrix; Milena Pavlova; Marianne J Nieuwenhuijze; Johan L Severens; Jan G Nijhuis
Journal:  J Psychosom Obstet Gynaecol       Date:  2010-12       Impact factor: 2.949

3.  Benefit evaluation of mass screening for prostate cancer: willingness-to-pay measurement using contingent valuation.

Authors:  Hideo Yasunaga; Hiroo Ide; Tomoaki Imamura; Kazuhiko Ohe
Journal:  Urology       Date:  2006-11       Impact factor: 2.649

4.  Does "process utility" exist? A case study of willingness to pay for laparoscopic cholecystectomy.

Authors:  C Donaldson; P Shackley
Journal:  Soc Sci Med       Date:  1997-03       Impact factor: 4.634

5.  A cost utility analysis of treatment options for gallstone disease: methodological issues and results.

Authors:  J Cook; J Richardson; A Street
Journal:  Health Econ       Date:  1994 May-Jun       Impact factor: 3.046

6.  Patient and health professional preferences for organ allocation and procurement, end-of-life care and organization of care for patients with chronic kidney disease using a discrete choice experiment.

Authors:  Sara N Davison; Seija K Kromm; Gillian R Currie
Journal:  Nephrol Dial Transplant       Date:  2010-03-05       Impact factor: 5.992

7.  A discrete choice conjoint experiment to evaluate parent preferences for treatment of young, medication naive children with ADHD.

Authors:  Daniel A Waschbusch; Charles E Cunningham; William E Pelham; Heather L Rimas; Andrew R Greiner; Elizabeth M Gnagy; James Waxmonsky; Gregory A Fabiano; Jessica A Robb; Lisa Burrows-Maclean; Mindy Scime; Martin T Hoffman
Journal:  J Clin Child Adolesc Psychol       Date:  2011

8.  Patient and community preferences for treatments and health states in multiple sclerosis.

Authors:  Lisa A Prosser; Karen M Kuntz; Amit Bar-Or; Milton C Weinstein
Journal:  Mult Scler       Date:  2003-06       Impact factor: 6.312

9.  Feasibility, reliability, and validity of three health-state valuation methods using multiple-outcome vignettes on moderate-risk pregnancy at term.

Authors:  Denise Bijlenga; Erwin Birnie; Gouke J Bonsel
Journal:  Value Health       Date:  2009 Jul-Aug       Impact factor: 5.725

10.  Investigating preferences for support with life after stroke: a discrete choice experiment.

Authors:  Christopher R Burton; Emily Fargher; Catrin Plumpton; Gwerfyl W Roberts; Heledd Owen; Eryl Roberts
Journal:  BMC Health Serv Res       Date:  2014-02-08       Impact factor: 2.655

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