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首页> 外文期刊>International Journal of Basic and Applied Sciences >Using the analytic hierarchy process to prioritize alternative medicine: selecting the most suitable medicine for patients with diabetes
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Using the analytic hierarchy process to prioritize alternative medicine: selecting the most suitable medicine for patients with diabetes

机译：使用层次分析法对替代药物进行优先排序：为糖尿病患者选择最合适的药物

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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.
机译：糖尿病（DM）在沙特阿拉伯正成为一个主要的公共健康问题，并且该疾病总体上影响中东。在新诊断的2型糖尿病患者中，进行了层次分析法（AHP），以选择最合适的口服降糖药作为单一疗法。等级结构产生了八个重要标准：副作用，慢性病，背景科学证据，年龄，体重，费用，教育水平和性别。这些不同因素的参与表明，治疗糖尿病是一个多标准决策（MCDM）问题。因此，使用AHP是因为它是最常见的MCDM工具之一。该项目开发了一个数学决策模型，该模型根据上述标准对糖尿病患者的可用药物进行了优先排序。口服2型糖尿病药物（二甲双胍，吡格列酮，西他列汀和格列美脲）分别排名第一，第二，第三和第四。它们的重量分别为48.42％，24.47％，13.61％和13.50％。因此，推荐使用二甲双胍，因为它的重量最高。副作用是影响药物选择的最重要因素。 AHP提供总体排名，以协助最终决策。毫无疑问，该项目的结果，或至少是所提出的方法，有助于决策过程，这很重要，因为它有助于决策者确定为新诊断的糖尿病患者选择哪种口服药物。

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