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      Framework Development for Clinical Comprehensive Evaluation of Drugs–a Study Protocol Using the Delphi Method and Analytic Hierarchy Process

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          Abstract

          Measuring the value of drugs to help make health-care decisions is a complex process which involves confronting trade-offs among multiple objectives. Although guidelines have been released for clinical comprehensive evaluation of drugs, refinement is required when considering a specific drug used in a specific disease. In this study, a two-level framework for clinical comprehensive evaluation of drugs will be developed. Six first-level indicators, including safety, efficacy, costs/cost-effectiveness, novelty, suitability, and accessibility will be evaluated according to the Chinese Guideline for Clinical Comprehensive Evaluation of Drugs. The second-level components involved in the framework will be first validated by the Delphi method and subsequently compared with one another to get the index weight based on the Analytic Hierarchy Process (AHP). The scoring criteria of each component in the framework will also be determined by the Delphi method and AHP. The scoring criteria of components representing therapeutic effects will involve both score of therapeutic effects and score of evidence quality. With the evidence of the drug to be evaluated, the score of each component will be obtained according to the established scoring criteria, and the overall comprehensive score value of the drug will be calculated, which will assist the evidence-based decision making.

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          Most cited references33

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          GRADE: an emerging consensus on rating quality of evidence and strength of recommendations.

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            GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables.

            This article is the first of a series providing guidance for use of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system of rating quality of evidence and grading strength of recommendations in systematic reviews, health technology assessments (HTAs), and clinical practice guidelines addressing alternative management options. The GRADE process begins with asking an explicit question, including specification of all important outcomes. After the evidence is collected and summarized, GRADE provides explicit criteria for rating the quality of evidence that include study design, risk of bias, imprecision, inconsistency, indirectness, and magnitude of effect. Recommendations are characterized as strong or weak (alternative terms conditional or discretionary) according to the quality of the supporting evidence and the balance between desirable and undesirable consequences of the alternative management options. GRADE suggests summarizing evidence in succinct, transparent, and informative summary of findings tables that show the quality of evidence and the magnitude of relative and absolute effects for each important outcome and/or as evidence profiles that provide, in addition, detailed information about the reason for the quality of evidence rating. Subsequent articles in this series will address GRADE's approach to formulating questions, assessing quality of evidence, and developing recommendations. Copyright © 2011 Elsevier Inc. All rights reserved.
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              The Delphi method as a research tool: an example, design considerations and applications

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                Author and article information

                Contributors
                Journal
                Front Pharmacol
                Front Pharmacol
                Front. Pharmacol.
                Frontiers in Pharmacology
                Frontiers Media S.A.
                1663-9812
                19 May 2022
                2022
                : 13
                : 869319
                Affiliations
                [1] 1 School of Medicine , Tongji University , Shanghai, China
                [2] 2 Department of Pharmacy , Ren Ji Hospital , Shanghai Jiao Tong University School of Medicine , Shanghai, China
                [3] 3 Shanghai Anticoagulation Pharmacist Alliance , Shanghai Pharmaceutical Association , Shanghai, China
                [4] 4 Shanghai Pharmaceutical Association , Shanghai, China
                Author notes

                Edited by: Luciane Cruz Lopes, University of Sorocaba, Brazil

                Reviewed by: Xing Liao, China Academy of Chinese Medical Sciences, China

                Fernanda Machado, Federal University of Rio de Janeiro, Brazil

                *Correspondence: Bin Wu, scilwsjtu-wb@ 123456yahoo.com ; Zhi-Chun Gu, guzhichun213@ 123456163.com

                This article was submitted to Drugs Outcomes Research and Policies, a section of the journal Frontiers in Pharmacology

                Article
                869319
                10.3389/fphar.2022.869319
                9161709
                35662698
                3c510263-3103-462c-9864-56627ef180e0
                Copyright © 2022 Zhang, Ma, Liu, Wu, Gu and Lin.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 04 February 2022
                : 06 April 2022
                Categories
                Pharmacology
                Methods

                Pharmacology & Pharmaceutical medicine
                clinical comprehensive evaluation of drugs,framework,delphi method,analytic hierarchy process,protocol

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