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一项关于在医疗监测下管理麻风病患者药物的研究：基于层次分析法- ELECTRE 决策方法的解决方案。

A study about management of drugs for leprosy patients under medical monitoring: A solution based on AHP-Electre decision-making methods.

机构信息

Technology Institute, Federal University of Para, Belém, PA, Brazil.

Dermato-Immunology Laboratory, Federal University of Para, Marituba, PA, Brazil.

出版信息

PLoS One. 2023 Feb 13;18(2):e0276508. doi: 10.1371/journal.pone.0276508. eCollection 2023.

DOI:10.1371/journal.pone.0276508
PMID:36780451
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9924998/
Abstract

Leprosy, also known as Hansen's, is one of the listed neglected tropical diseases as a major health problem global. Treatment is one of the main alternatives, however, the scarcity of medication and its poor distribution are important factors that have driven the spread of the disease, leading to irreversible and multi-resistant complications. This paper uses a distribution methodology to optimize medication administration, taking into account the most relevant attributes for the epidemiological profile of patients and the deficit in treatment via Polychemotherapy. Multi-criteria Decision Methods were applied based on AHP-Electre model in a database with information from patients in the state of Para between 2015 and 2020. The results pointed out that 84% of individuals did not receive any treatment and, among these, the method obtained a gain in the distribution of 68% in patients with positive diagnosis for leprosy.

摘要

麻风病，也称为汉森病，是全球主要健康问题之一，被列为被忽视的热带病之一。治疗是主要的选择之一，然而，药物的稀缺和分布不均是导致疾病传播的重要因素，导致不可逆转和多耐药性并发症。本文使用一种分配方法来优化药物管理，考虑到患者流行病学特征和多药化疗治疗不足的最相关属性。多标准决策方法基于 AHP-Electre 模型应用于一个包含 2015 年至 2020 年来自帕拉州患者信息的数据库。结果表明，84%的个体未接受任何治疗，其中该方法在麻风病阳性诊断患者的分布中获得了 68%的增益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c31/9924998/cc7c185f9e60/pone.0276508.g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c31/9924998/2075e9436974/pone.0276508.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c31/9924998/cc7c185f9e60/pone.0276508.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c31/9924998/95f302b8369a/pone.0276508.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c31/9924998/1b3510499fd4/pone.0276508.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c31/9924998/663f2f7fe516/pone.0276508.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c31/9924998/dc4245c952cc/pone.0276508.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c31/9924998/2075e9436974/pone.0276508.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c31/9924998/cc7c185f9e60/pone.0276508.g006.jpg

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本文引用的文献

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Awareness of Leprosy in an urban slum of Western Maharashtra Post 35 Years of the National Leprosy Eradication Program (NLEP).在国家麻风病消除计划（NLEP）实施35年后，马哈拉施特拉邦西部一个城市贫民窟对麻风病的认知情况。
Med J Armed Forces India. 2022 Apr;78(2):175-179. doi: 10.1016/j.mjafi.2020.11.009. Epub 2021 Mar 2.
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An application of multi-criteria decision-making approach to sustainable drug shortages management: evidence from a developing country.多标准决策方法在可持续药品短缺管理中的应用：来自一个发展中国家的证据。
J Pharm Health Care Sci. 2021 Apr 2;7(1):14. doi: 10.1186/s40780-021-00200-3.
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Operational failures of leprosy control in household social networks with overlapping cases in endemic areas in Brazil.
巴西流行地区家庭社交网络中重叠病例导致麻风病控制的运作失败。
Epidemiol Serv Saude. 2020;29(4):e2019465. doi: 10.5123/s1679-49742020000400004. Epub 2020 Jul 29.
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Multi-Criteria Decision Analysis to prioritize hospital admission of patients affected by COVID-19 in low-resource settings with hospital-bed shortage.多准则决策分析在医疗资源匮乏且床位短缺的情况下对 COVID-19 患者进行住院优先级排序。
Int J Infect Dis. 2020 Sep;98:494-500. doi: 10.1016/j.ijid.2020.06.082. Epub 2020 Jun 30.
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Comprehensive value assessment of drugs using a multi-criteria decision analysis: An example of targeted therapies for metastatic colorectal cancer treatment.采用多准则决策分析对药物进行综合价值评估：以转移性结直肠癌治疗的靶向治疗为例。
PLoS One. 2019 Dec 12;14(12):e0225938. doi: 10.1371/journal.pone.0225938. eCollection 2019.
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Risk Factors for Physical Disability in Patients With Leprosy: A Systematic Review and Meta-analysis.麻风病患者身体残疾的危险因素：系统评价与荟萃分析
JAMA Dermatol. 2019 Oct 1;155(10):1120-1128. doi: 10.1001/jamadermatol.2019.1768.
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