Defining Criteria Weights By AHP In Health Technology Assessment

Öztürk, Nzzz; Karacan, İlknur; Tozan, Hakan; Vayvay, Özalp

doi:10.1016/j.jval.2017.08.1802

Cited by 7 publications

(5 citation statements)

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“…Among the six vaccine selections included in this case study, mRNA-based vaccines (Pfizer-BioNTech and NIH-Moderna) and non-replicating viral vector-based vaccines (Oxford-AstraZeneca and Janssen) were considered [ 26 ]. A health technology assessment approach based on AHP showed that decision makers gave priority to treatment effectiveness and patient safety when deciding on best treatment alternatives in dialysis [ 1 ]. An AHP-based approach was used to evaluate priority for the standardization of traditional medicine and included variables such as technology evolution, political importance, and economic efficiency [ 18 ].…”

Section: Discussionmentioning

confidence: 99%

“…Decision making in healthcare includes a complex set of pragmatic interactions among many stakeholders [ 1 ]. Limited mathematical models or techniques are currently used to support the selection of a suitable vaccine for fighting pandemics/epidemics.…”

Section: Introductionmentioning

confidence: 99%

“…A prioritization approach for health technology assessment was developed based on AHP and results highlighted the importance of treatment effectiveness, patient safety, and societal aspects in the decision-making process for best treatment alternatives in dialysis [ 1 ] and Korean medicine [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

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A Novel Vaccine Selection Decision-Making Model (VSDMM) for COVID-19

Abdelwahab

Issa

2021

Vaccines

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Selecting a vaccine for fighting a pandemic is one of the serious issues in healthcare. Novel decision models for vaccine selection need to be developed. In this study, a novel vaccine selection decision-making model (VSDMM) was proposed and developed, based on the analytic hierarchy process (AHP) technique, which assesses many alternatives (vaccines) using multi-criteria to support decision making. To feed data to the VSDMM, six coronavirus disease-19 (COVID-19) vaccines were selected in a case study to highlight the applicability of the proposed model. Each vaccine was compared to the others with respect to six criteria and all criteria were compared to calculate the relative weights. The proposed criteria include (1) vaccine availability; (2) vaccine formula; (3) vaccine efficacy; (4) vaccine-related side effects; (5) cost savings, and (6) host-related factors. Using the selected criteria, experts responded to questions and currently available COVID-19 vaccines were ranked according to their weight in the model. A sensitivity analysis was introduced to assess the model robustness and the impacts of changing criteria weights on the results. The VSDMM is flexible in terms of its ability to accept more vaccine alternatives and/or more criteria. It could also be applied to other current or future pandemics/epidemics in the world. In conclusion, this is the first report to propose a VSDMM for selecting the most suitable vaccines in pandemic/epidemic situations or any other situations in which vaccine selection and usage may be deemed necessary.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel Vaccine Selection Decision-Making Model (VSDMM) for COVID-19

Abdelwahab

Issa

2021

Vaccines

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“…A country’s capacity to reach the herd immunity threshold is critical to its ability to return to some semblance of order or the “new normal” ( Becchetti et al, 2021 ). In healthcare, decision-making entails a complicated series of pragmatic interactions involving a large number of stakeholders ( Oztürk et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Vaccine selection for COVID-19 by AHP and novel VIKOR hybrid approach with interval type-2 fuzzy sets

Özkan

2023

Engineering Applications of Artificial Intelligence

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“…Ziemba (2019) analyzed the weights of criteria of a decision problem that consists of selecting the location and design of a wind farm by means of the ANP method with the considered cluster of alternatives and without it and demonstrates that taking into consideration the cluster of alternatives in the decision model influences the result of criteria weights [18]. In the cases of research problems without ranking the alternatives, AHP and ANP are widely used to analyze the weights of indicators [19][20][21][22][23].…”

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confidence: 99%

Analysis of the Weights of Service Quality Indicators for Drone Filming and Photography by the Fuzzy Analytic Network Process

Liu

Chen

2019

Applied Sciences

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The service of drone filming and photography has been getting more and more popular. However, the service provider does not have enough information about service quality indicators and its weights. Analyzing the weights of service quality indicators by the Fuzzy Analytic Network Process (FANP) combined with Similarity Aggregation Method (SAM) is an important research topic. Therefore, in order to solve this real life problem, based on the SERVQUAL scale, this research analyzes the weights and the rankings from a comprehensive consensus by FANP combined with geometric mean and SAM, and then compares the differences between them. The results reveal that both the comprehensive consensus of experts’ opinions deemed that the most important dimension and indicator are reliability and “Employees are professional and get adequate support to do their jobs well.” The 2nd to 4th indicators from a comprehensive consensus of experts’ opinions are the same but the order is different. They are: “Drone service team’s employees give custom personal attention,” “Drone service team has up-to-date equipment,” and “Drone service team provides service legally, safely, and reliably.” The findings of the research reveal the weights of dimensions and indicators and help us to keep good service quality of filming and photography by drone.

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Defining Criteria Weights By AHP In Health Technology Assessment

Cited by 7 publications

References 0 publications

A Novel Vaccine Selection Decision-Making Model (VSDMM) for COVID-19

A Novel Vaccine Selection Decision-Making Model (VSDMM) for COVID-19

Vaccine selection for COVID-19 by AHP and novel VIKOR hybrid approach with interval type-2 fuzzy sets

Analysis of the Weights of Service Quality Indicators for Drone Filming and Photography by the Fuzzy Analytic Network Process

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