Integrating patients' views into health technology assessment: Analytic hierarchy process (AHP) as a method to elicit patient preferences

Danner, Marion; Hummel, J. Marjan; Volz, Fabian; Manen, Jeannette G. van; Wiegard, Beate; Dintsios, Charalabos-Markos; Bastian, Hilda; Gerber, Andreas; IJzerman, Maarten J.

doi:10.1017/s0266462311000523

Cited by 144 publications

(135 citation statements)

References 22 publications

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“…Budgetingiii. Interventions for chronic non-cancer painDiaby et al [18]Tony et al [19]GermanyIncorporation of patient involvement with MCDA quantitative approaches, IQWIGDanner et al [20]Swedeni. Orphan drug coverage, TLVii.…”

Section: Real-world Examplesmentioning

confidence: 99%

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Utilization of multiple-criteria decision analysis (MCDA) to support healthcare decision-making FIFARMA, 2016

Drake¹,

Hart²,

Monleón

et al. 2017

Journal of Market Access & Health Policy

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Background and objectives: MCDA is a decision-making tool with increasing use in the healthcare sector, including HTA (Health Technology Assessment). By applying multiple criteria, including innovation, in a comprehensive, structured and explicit manner, MCDA fosters a transparent, participative, consistent decision-making process taking into consideration values of all stakeholders.This paper by FIFARMA (Latin American Federation of Pharmaceutical Industry) proposes the deliberative (partial) MCDA as a more pragmatic, agile approach, especially when newly implemented. Methods: Literature review including real-world examples of effective MCDA implementation in healthcare decision making in both the public and private sector worldwide and in LA. Results and conclusion: It is the view of FIFARMA that MCDA should strongly be considered as a tool to support HTA and broader healthcare decision making such as the contracts and tenders process in order to foster transparency, fairness, and collaboration amongst stakeholders.

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Section: Real-world Examplesmentioning

confidence: 99%

“…The results of all of these choices were analyzed using logistic regression models to estimate the importance (weighting) of the individual treatment attributes. Overall, MCDA was carried out in a real-world context and was successfully used to increase rational, transparent, and fair priority-setting [20].

…”

mentioning

confidence: 99%

Utilization of multiple-criteria decision analysis (MCDA) to support healthcare decision-making FIFARMA, 2016

Drake¹,

Hart²,

Monleón

et al. 2017

Journal of Market Access & Health Policy

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“…A number of researchers highlighted the benefits of using AHP to explore user needs in healthcare (Hummel and IJzerman, 2009;Pecchia et al, 2013) particularly for HTA (Danner et al, 2011;Bridges, 2005), for choosing treatments (Dolan, 1995), and to improve patient centered healthcare (Dolan, 2010;Bridges, 2008). Other methods that have attempted to elicit and quantify user needs in healthcare as the conjoint analysis (CA) , discrete choice experiments (de BekkerGrob, et al, 2012) and best-worst scaling (Gallego et al, 2011).…”

Section: The Analytic Hierarchy Process Methodsmentioning

confidence: 99%

Government policy and healthcare management: proposal of a shared decision-making model

Petrillo

Felice

Vanzanella

et al. 2015

IJMDM

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(2015) Government policy and healthcare management: proposal of a shared decisionmaking model. International Journal of Management and Decision Making, 14 (3). pp. 183-204. ISSN 1741-5187 Access from the University of Nottingham repository: http://eprints.nottingham.ac.uk/31734/1/Petrillo%202015%20IJMDM%20Government %20Policy%20and%20Health%20Care%20management-%20proposal%20of%20a %20shared%20decision-making%20model%20-%20final%20post-review%20author %20version%20with%20h.pdf Copyright and reuse:The Nottingham ePrints service makes this work by researchers of the University of Nottingham available open access under the following conditions. This article is made available under the University of Nottingham End User licence and may be reused according to the conditions of the licence. For more details see: http://eprints.nottingham.ac.uk/end_user_agreement.pdf A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription. Vol. 14, No. 3. pp.183 -204. doi: 10.1504/IJMDM.2015 Fabio De Felice, Professor at the University of Cassino and Southern Lazio, board member of several international organizations and responsible for scientific research and training in industrial plants. The scientific activity developed through studies and researches on problems concerning industrial plant engineering such as improvement of quality in productive processes, simulation of industrial plants, multicriteria techniques, RAMS Analysis and Human Reliability Analysis. General Secretary of the Analytic Hierarchy Process -AHP Academy -International Association for the promotion of multi-criteria decision making methods.Carmela Vanzanella, Researcher at Italian Council of National Researches in Rome (Italy), the largest public research institution in Italy. She conducts research activities on Medical Technology, Neuroradiolgy, Health technology assessment in order to provide technologies and solutions to emerging public and private needs, to advice Government and other public bodies, and to contribute to the qualification of human resources.Filippo Crispino, works as an entrepreneur and engineer in information technology for over 10 years. He has been CTO and CEO of several companies. In the last three years has been delegated to the "Research, Innovation and Technology Transfer" and chairman of the Young Entrepreneurs of Confindustria Campania, he has been researcher in the field of Operations Research at the Faculty of Engineering at the University of Sannio, has participated in several research projects with universities and government agencies, has designed information systems and developed software for the Province of Rome, Avellino, University Nottingham and several companies. Stephen Morgan, is Professor of Biomedical Engineering at the University of Nottingham....

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“…O grau com que uma opção é preferida em relação às demais é representado pela comparação de escores numéricos, inicialmente para cada critério, e depois integrados em um escore global 11 . Alguns exemplos de métodos estabelecidos que utilizam essa abordagem são: os métodos baseados na multi-atribute utility theory (MAUT) 15,19,20 e os baseados em análise hierárquica (AHP) 21,22 .…”

Section: Principais Abordagens Em Análise De Decisão Multicritériounclassified

Análise de decisão multicritério para alocação de recursos e avaliação de tecnologias em saúde: tão longe e tão perto?

et al. 2017

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Análise de decisão multicritério para alocação de recursos e avaliação de tecnologias em saúde: tão longe e tão perto?Multi-criteria decision analysis for health technology resource allocation and assessment: so far and so near?Análisis de decisión multicriterio para la asignación de recursos y evaluación de tecnologías en salud: ¿tan lejos y tan cerca? Este é um artigo publicado em acesso aberto (Open Access) sob a licença Creative Commons Attribution, que permite uso, distribuição e reprodução em qualquer meio, sem restrições, desde que o trabalho original seja corretamente citado.

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Integrating patients' views into health technology assessment: Analytic hierarchy process (AHP) as a method to elicit patient preferences

Cited by 144 publications

References 22 publications

Utilization of multiple-criteria decision analysis (MCDA) to support healthcare decision-making FIFARMA, 2016

Utilization of multiple-criteria decision analysis (MCDA) to support healthcare decision-making FIFARMA, 2016

Government policy and healthcare management: proposal of a shared decision-making model

Análise de decisão multicritério para alocação de recursos e avaliação de tecnologias em saúde: tão longe e tão perto?

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