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Applying a Multicriteria Decision Analysis (MCDA) Approach to Elicit Stakeholders’ Preferences in Italy: The Case of Obinutuzumab for Rituximab-Refractory Indolent Non-Hodgkin Lymphoma (iNHL)

Overview of attention for article published in PharmacoEconomics - Open, August 2017
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Title
Applying a Multicriteria Decision Analysis (MCDA) Approach to Elicit Stakeholders’ Preferences in Italy: The Case of Obinutuzumab for Rituximab-Refractory Indolent Non-Hodgkin Lymphoma (iNHL)
Published in
PharmacoEconomics - Open, August 2017
DOI 10.1007/s41669-017-0048-x
Pubmed ID
Authors

Martina Garau, Grace Hampson, Nancy Devlin, Nicola Amedeo Mazzanti, Antonio Profico

Abstract

Healthcare decision makers need to make trade-offs between different elements of value of new treatments. Multicriteria decision analysis (MCDA) provides a framework that can help decision makers to understand stakeholders' preferences and be explicit about the trade-offs that are being made. The objective of this study was to use MCDA to obtain preferences and views on decision criteria across three stakeholder groups (patients, clinicians and payers) in Italy and to use these to assess the performance of obinutuzumab for rituximab-refractory indolent non-Hodgkin lymphoma (iNHL). We used EVIDEM V3.0, an MCDA framework, and collected participants' preferences via an online survey and structured meetings. Patients and clinicians expressed a preference for interventions targeting severe conditions. Payers expressed preference for treatments targeting areas with an unmet need, which are cheaper than the comparator, and with high-quality evidence. Obinutuzumab in combination with bendamustine, compared with bendamustine alone, received high positive scores for the criteria 'disease severity' and 'type of therapeutic benefit' by all three groups, and negative scores on the economic-related criteria, according to all stakeholder groups. MCDA can be used to elicit the views of different stakeholder groups and has the potential to structure and inform reimbursement decisions.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 17%
Student > Master 9 15%
Other 8 14%
Student > Bachelor 6 10%
Student > Ph. D. Student 4 7%
Other 7 12%
Unknown 15 25%
Readers by discipline Count As %
Nursing and Health Professions 7 12%
Medicine and Dentistry 7 12%
Social Sciences 5 8%
Business, Management and Accounting 4 7%
Agricultural and Biological Sciences 3 5%
Other 14 24%
Unknown 19 32%
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 22 August 2017.
All research outputs
#18,569,430
of 22,999,744 outputs
Outputs from PharmacoEconomics - Open
#244
of 330 outputs
Outputs of similar age
#243,397
of 317,366 outputs
Outputs of similar age from PharmacoEconomics - Open
#14
of 20 outputs
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