scholarly journals Systematic assessment of benefits and risks: study protocol for a multi-criteria decision analysis using the Analytic Hierarchy Process for comparative effectiveness research

F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 160 ◽  
Author(s):  
Nisa M Maruthur ◽  
Susan Joy ◽  
James Dolan ◽  
Jodi B Segal ◽  
Hasan M Shihab ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Decision Analysis ◽  
Study Protocol ◽  
Analytic Hierarchy ◽  
The Third ◽  
Risks And Benefits ◽  
Hierarchy Process

Background: Regulatory decision-making involves assessment of risks and benefits of medications at the time of approval or when relevant safety concerns arise with a medication. The Analytic Hierarchy Process (AHP) facilitates decision-making in complex situations involving tradeoffs by considering risks and benefits of alternatives. The AHP allows a more structured method of synthesizing and understanding evidence in the context of importance assigned to outcomes. Our objective is to evaluate the use of an AHP in a simulated committee setting selecting oral medications for type 2 diabetes. Methods:This study protocol describes the AHP in five sequential steps using a small group of diabetes experts representing various clinical disciplines. The first step will involve defining the goal of the decision and developing the AHP model. In the next step, we will collect information about how well alternatives are expected to fulfill the decision criteria. In the third step, we will compare the ability of the alternatives to fulfill the criteria and judge the importance of eight criteria relative to the decision goal of the optimal medication choice for type 2 diabetes. We will use pairwise comparisons to sequentially compare the pairs of alternative options regarding their ability to fulfill the criteria. In the fourth step, the scales created in the third step will be combined to create a summary score indicating how well the alternatives met the decision goal. The resulting scores will be expressed as percentages and will indicate the alternative medications' relative abilities to fulfill the decision goal. The fifth step will consist of sensitivity analyses to explore the effects of changing the estimates. We will also conduct a cognitive interview and process evaluation. Discussion: Multi-criteria decision analysis using the AHP will aid, support and enhance the ability of decision makers to make evidence-based informed decisions consistent with their values and preferences.

scholarly journals Using the analytic hierarchy process to prioritize alternative medicine: selecting the most suitable medicine for patients with diabetes

2016 ◽  
Vol 5 (1) ◽  
pp. 67 ◽  
Author(s):  
Mohammed A. Balubaid ◽  
Mohammed A. Basheikh
Keyword(s):  
Type 2 Diabetes ◽  
Decision Making ◽  
Side Effects ◽  
Analytic Hierarchy Process ◽  
Newly Diagnosed ◽  
Analytic Hierarchy ◽  
Patients With Diabetes ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

<p>Diabetes mellitus (DM) is emerging as a major public health problem in Saudi Arabia and this disease affects the Middle East in general. The analytic hierarchy process (AHP) was performed to select the most appropriate oral hypoglycemic agent for use as a monotherapy among newly diagnosed patients with type 2 diabetes. Eight important criteria resulted from the hierarchy structure: side effects, chronic disease, background scientific evidence, age, weight, cost, education level, and gender. The involvement of these different factors reveals that treating diabetes is a multi-criteria decision making (MCDM) problem. Thus, AHP was used because it is one of the most common MCDM tools. This project developed a mathematical decision-making model that prioritizes the available medications for patients with diabetes in terms of the aforementioned criteria. Oral type 2 diabetes medications (metformin, pioglitazone, sitagliptin, and glimepiride) were ranked 1st, 2nd, 3rd and 4th, respectively; their weights were 48.42%, 24.47%, 13.61% and 13.50%, respectively. Thus, metformin is recommended because it has the highest weight. Side effects were the most important factor affecting drug selection. The AHP provides an overall ranking to aid with final decisions. Unquestionably, the results of this project, or at least the proposed methodology, facilitate the decision-making process, which is important because it assists the decision maker in determining which oral drug to choose for newly diagnosed patients with diabetes.</p>

scholarly journals Use of the Analytic Hierarchy Process for Medication Decision-Making in Type 2 Diabetes

PLoS ONE ◽  
2015 ◽  
Vol 10 (5) ◽  
pp. e0126625 ◽  
Author(s):  
Nisa M. Maruthur ◽  
Susan M. Joy ◽  
James G. Dolan ◽  
Hasan M. Shihab ◽  
Sonal Singh
Keyword(s):  
Type 2 Diabetes ◽  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Interval Type-2 Fuzzy Analytic Hierarchy Process for Sustainable Energy Sources Selection

2017 ◽  
Vol 6 (3) ◽  
pp. 124-137 ◽  
Author(s):  
Lazim Abdullah ◽  
Liana Najib
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Sustainable Energy ◽  
Computational Method ◽  
Fuzzy Analytic Hierarchy Process ◽  
Energy Sources ◽  
Analytic Hierarchy ◽  
Interval Type ◽  
Hierarchy Process

Selecting sustainable energy sources is one of the efforts to ensuring optimum energy consumption. However, the selection process is not straight forward as it requires multi-criteria that inherited uncertainty and qualitative evaluation. Multi-criteria evaluation that based on fuzzy set theory is one of the well-known methods to handle uncertainty in decision making and vagueness of information. This paper develops a preference for sustainable energy using the linguistic evaluation of interval type-2 fuzzy analytic hierarchy process (IT2 FAHP). Seven alternatives of sustainable energy sources that closely related to nine criteria were identified as the hierarchical structure of the decision making problem. Two academicians and an engineer attached to government agencies were invited to provide linguistic evaluation. The linguistic evaluations were analyzed using the newly developed IT2 FAHP. The seven-step computational method was implemented and the results suggest that solar energy is the best alternative in selecting the viable sustainable energy.

scholarly journals Zastosowanie metody analizy hierarchicznej problemu

2006 ◽  
Vol 2 ◽  
pp. 154-162
Author(s):  
Kazimierz Winnicki ◽  
Andrzej Jurek ◽  
Marek Landowski
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Decision Analysis ◽  
Wide Area ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Hierarchy Process

This article describes AHP (Analytic Hierarchy Process), the method for multi-criterion decision analysis. The text discusses the stages of AHP. Also it presents wide area of a implementation of AHP method for a solutions to a decision-making problems with more than one criterion.

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

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