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Balancing costs and benefits at different stages of medical innovation: a systematic review of Multi-criteria decision analysis (MCDA)

Overview of attention for article published in BMC Health Services Research, July 2015
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Title
Balancing costs and benefits at different stages of medical innovation: a systematic review of Multi-criteria decision analysis (MCDA)
Published in
BMC Health Services Research, July 2015
DOI 10.1186/s12913-015-0930-0
Pubmed ID
Authors

Philip Wahlster, Mireille Goetghebeur, Christine Kriza, Charlotte Niederländer, Peter Kolominsky-Rabas, on behalf of the National Leading-Edge Cluster Medical Technologies ‘Medical Valley EMN’

Abstract

The diffusion of health technologies from translational research to reimbursement depends on several factors included the results of health economic analysis. Recent research identified several flaws in health economic concepts. Additionally, the heterogeneous viewpoints of participating stakeholders are rarely systematically addressed in current decision-making. Multi-criteria Decision Analysis (MCDA) provides an opportunity to tackle these issues. The objective of this study was to review applications of MCDA methods in decisions addressing the trade-off between costs and benefits. Using basic steps of the PRISMA guidelines, a systematic review of the healthcare literature was performed to identify original research articles from January 1990 to April 2014. Medline, PubMed, Springer Link and specific journals were searched. Using predefined categories, bibliographic records were systematically extracted regarding the type of policy applications, MCDA methodology, criteria used and their definitions. 22 studies were included in the analysis. 15 studies (68 %) used direct MCDA approaches and seven studies (32 %) used preference elicitation approaches. Four studies (19 %) focused on technologies in the early innovation process. The majority (18 studies - 81 %) examined reimbursement decisions. Decision criteria used in studies were obtained from the literature research and context-specific studies, expert opinions, and group discussions. The number of criteria ranged between three up to 15. The most frequently used criteria were health outcomes (73 %), disease impact (59 %), and implementation of the intervention (40 %). Economic criteria included cost-effectiveness criteria (14 studies, 64 %), and total costs/budget impact of an intervention (eight studies, 36 %). The process of including economic aspects is very different among studies. Some studies directly compare costs with other criteria while some include economic consideration in a second step. In early innovation processes, MCDA can provide information about stakeholder preferences as well as evidence needs in further development. However, only a minority of these studies include economic features due to the limited evidence. The most important economic criterion cost-effectiveness should not be included from a technical perspective as it is already a composite of costs and benefit. There is a significant lack of consensus in methodology employed by the various studies which highlights the need for guidance on application of MCDA at specific phases of an innovation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 <1%
Unknown 217 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 39 18%
Researcher 31 14%
Student > Ph. D. Student 28 13%
Student > Bachelor 17 8%
Other 13 6%
Other 37 17%
Unknown 53 24%
Readers by discipline Count As %
Engineering 30 14%
Medicine and Dentistry 29 13%
Nursing and Health Professions 19 9%
Business, Management and Accounting 16 7%
Pharmacology, Toxicology and Pharmaceutical Science 16 7%
Other 49 22%
Unknown 59 27%
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 11 July 2015.
All research outputs
#17,765,638
of 22,816,807 outputs
Outputs from BMC Health Services Research
#6,286
of 7,636 outputs
Outputs of similar age
#176,256
of 262,224 outputs
Outputs of similar age from BMC Health Services Research
#95
of 111 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,636 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.