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A model for priority setting of health technology assessment: the experience of AHP-TOPSIS combination approach

BACKGROUND: In recent times, the use of health technologies in the diagnosis and treatment of diseases experienced considerable and accelerated growth. The goal of the present study was to describe the designated pilot MCDM (Multiple Criteria Decision Making) model for priority setting of health tec...

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Autores principales: Mobinizadeh, Mohammadreza, Raeissi, Pouran, Nasiripour, Amir Ashkan, Olyaeemanesh, Alireza, Tabibi, Seyed Jamaleddin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4827190/
https://www.ncbi.nlm.nih.gov/pubmed/27068692
http://dx.doi.org/10.1186/s40199-016-0148-7
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author Mobinizadeh, Mohammadreza
Raeissi, Pouran
Nasiripour, Amir Ashkan
Olyaeemanesh, Alireza
Tabibi, Seyed Jamaleddin
author_facet Mobinizadeh, Mohammadreza
Raeissi, Pouran
Nasiripour, Amir Ashkan
Olyaeemanesh, Alireza
Tabibi, Seyed Jamaleddin
author_sort Mobinizadeh, Mohammadreza
collection PubMed
description BACKGROUND: In recent times, the use of health technologies in the diagnosis and treatment of diseases experienced considerable and accelerated growth. The goal of the present study was to describe the designated pilot MCDM (Multiple Criteria Decision Making) model for priority setting of health technology assessment in Iran. METHODS: Relevant articles were sought and retrieved from the most appropriate medical databases, including the Cochrane Library, PubMed and Scopus via three separate search strategies, using MESH and free text until March, 2015. Retrieved criteria were questioned from health technology assessment experts in two rounds and the relative weight for valid criteria was finally obtained from paired wise comparison method. After extraction of relative weights based on the aforementioned procedure, TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) priority setting model was designed. The stated model was applied for assessing three technologies (adenosine, tissue plasminogen activator and mechanical thrombectomy) which were available for projects call of Iranian health technology assessment department in order to determine applicability of the model for practical purpose. RESULTS: Nine criteria, including efficiency/effectiveness, safety, population size, vulnerable population size, availability of alternative technologies, cost effectiveness in other countries, budget impact, financial protection, quality of evidence, were extracted by the Iranian health technology assessment experts. The relative weights of these criteria were as follows 0.12, 0.2, 0.06, 0.08, 0.08, 0.13, 0.08, 0.09, and 0.15, respectively. Finally TOPSIS pilot model was designed by three health technologies and nine criteria relative weights. Results showed that, the applicability of the stated model was suitable and as the pilot testing, tissue plasminogen activator was the first priority, adenosine was second and mechanical thrombectomy was third for performing health technology assessment by the Iranian ministry of health and medical education. CONCLUSION: According to the results of this study, this model with nine effective criteria and their relative weights and in combination with TOPSIS approach could be used with suitable applicability by health technology assessment department in deputy of curative affairs and food and drug organization for determination of research priorities in health technology assessment.
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spelling pubmed-48271902016-04-12 A model for priority setting of health technology assessment: the experience of AHP-TOPSIS combination approach Mobinizadeh, Mohammadreza Raeissi, Pouran Nasiripour, Amir Ashkan Olyaeemanesh, Alireza Tabibi, Seyed Jamaleddin Daru Research Article BACKGROUND: In recent times, the use of health technologies in the diagnosis and treatment of diseases experienced considerable and accelerated growth. The goal of the present study was to describe the designated pilot MCDM (Multiple Criteria Decision Making) model for priority setting of health technology assessment in Iran. METHODS: Relevant articles were sought and retrieved from the most appropriate medical databases, including the Cochrane Library, PubMed and Scopus via three separate search strategies, using MESH and free text until March, 2015. Retrieved criteria were questioned from health technology assessment experts in two rounds and the relative weight for valid criteria was finally obtained from paired wise comparison method. After extraction of relative weights based on the aforementioned procedure, TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) priority setting model was designed. The stated model was applied for assessing three technologies (adenosine, tissue plasminogen activator and mechanical thrombectomy) which were available for projects call of Iranian health technology assessment department in order to determine applicability of the model for practical purpose. RESULTS: Nine criteria, including efficiency/effectiveness, safety, population size, vulnerable population size, availability of alternative technologies, cost effectiveness in other countries, budget impact, financial protection, quality of evidence, were extracted by the Iranian health technology assessment experts. The relative weights of these criteria were as follows 0.12, 0.2, 0.06, 0.08, 0.08, 0.13, 0.08, 0.09, and 0.15, respectively. Finally TOPSIS pilot model was designed by three health technologies and nine criteria relative weights. Results showed that, the applicability of the stated model was suitable and as the pilot testing, tissue plasminogen activator was the first priority, adenosine was second and mechanical thrombectomy was third for performing health technology assessment by the Iranian ministry of health and medical education. CONCLUSION: According to the results of this study, this model with nine effective criteria and their relative weights and in combination with TOPSIS approach could be used with suitable applicability by health technology assessment department in deputy of curative affairs and food and drug organization for determination of research priorities in health technology assessment. BioMed Central 2016-04-11 /pmc/articles/PMC4827190/ /pubmed/27068692 http://dx.doi.org/10.1186/s40199-016-0148-7 Text en © Mobinizadeh et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Mobinizadeh, Mohammadreza
Raeissi, Pouran
Nasiripour, Amir Ashkan
Olyaeemanesh, Alireza
Tabibi, Seyed Jamaleddin
A model for priority setting of health technology assessment: the experience of AHP-TOPSIS combination approach
title A model for priority setting of health technology assessment: the experience of AHP-TOPSIS combination approach
title_full A model for priority setting of health technology assessment: the experience of AHP-TOPSIS combination approach
title_fullStr A model for priority setting of health technology assessment: the experience of AHP-TOPSIS combination approach
title_full_unstemmed A model for priority setting of health technology assessment: the experience of AHP-TOPSIS combination approach
title_short A model for priority setting of health technology assessment: the experience of AHP-TOPSIS combination approach
title_sort model for priority setting of health technology assessment: the experience of ahp-topsis combination approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4827190/
https://www.ncbi.nlm.nih.gov/pubmed/27068692
http://dx.doi.org/10.1186/s40199-016-0148-7
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