Evidence map›Paper›PMID 26152122›Full record

SynthesisBMC health services research2015

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

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

Abstract readSystematic Review
In one paragraph

Synthesis in BMC health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  4. Multi-criteria decision analysis for health technology assessment: addressing methodological challenges to improve the state of the art.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
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  6. Health technology assessment and innovation: here to help or hinder?International journal of technology assessment in health care · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Philip WahlsterInterdisciplinary Centre for Health Technology Assessment (HTA) and Public Health (IZPH), Friedrich-Alexander-University of Erlangen-Nuremberg (FAU), National Cluster of Excellence "Medical Technologies - Medical Valley EMN", Bavaria, Germany. philip.wahlster@uni-bremen.de.
Mireille GoetghebeurSchool of Public Health, Universiy of Montreal & LASER Analytica, 1405 TransCanada Highway, Suite 310, Montréal, QC, H9P 2V9, Canada. mgoetghebeur@evidem.org.
Christine KrizaInterdisciplinary Centre for Health Technology Assessment (HTA) and Public Health (IZPH), Friedrich-Alexander-University of Erlangen-Nuremberg (FAU), National Cluster of Excellence "Medical Technologies - Medical Valley EMN", Bavaria, Germany. christine.kriza@uk-erlangen.de.
Charlotte NiederländerInterdisciplinary Centre for Health Technology Assessment (HTA) and Public Health (IZPH), Friedrich-Alexander-University of Erlangen-Nuremberg (FAU), National Cluster of Excellence "Medical Technologies - Medical Valley EMN", Bavaria, Germany. charlotte.niederlaender@fau.de.
Peter Kolominsky-RabasInterdisciplinary Centre for Health Technology Assessment (HTA) and Public Health (IZPH), Friedrich-Alexander-University of Erlangen-Nuremberg (FAU), National Cluster of Excellence "Medical Technologies - Medical Valley EMN", Bavaria, Germany. peter.kolominsky@uk-erlangen.de.
National Leading-Edge Cluster Medical Technologies ‘Medical Valley EMN’

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsUsing 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.

results22 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.

conclusionsIn 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.

Indexed as

Biomedical TechnologyCost-Benefit AnalysisDecision Support TechniquesDiffusion of InnovationConsensusDecision MakingDelivery of Health CareFemaleHumans

Identifiers

PMID26152122
PMCPMC4495941

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.