Analysis of antibiotic purchasing service design based on SAPAD-AHP method

Miao Liu, Wenjun Wang
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In order to raise awareness of the dangers of antibiotic misuse, reduce people's choice of non-essential antibiotic medication, and expand and improve monitoring of health care institutions, this study introduces the SAPAD model and AHP to tap into users' real needs and complete a study of users' service design system for antibiotic drug purchase.The article uses observation method, user interview method and questionnaire method in the early stage to get the process of users' medicine purchase in common flu. Based on the SAPAD model framework, the user behavior is disassembled, and the people and things involved in the drug purchase process are listed to complete the mapping of behavior-object-meaning. The study obtained meaning clusters by clustering analysis of meaning layers, and combined with AHP to calculate the weight of each meaning cluster to derive core meaning clusters. The SAPAD model is a user-centered model framework for solving practical problems, which can start from the user's behavior, analyze, cluster and reorganize the meaning behind the behavior layer by layer, and finally dig into the user's real needs; the AHP method combines qualitative and quantitative analysis, and is highly logical and scientific, which can be applied to this topic The effective combination of SAPAD model and hierarchical analysis can gradually quantify the qualitative analysis and obtain more objective research results, which provides new ideas for the theoretical research framework of service design.This study completes the construction of meaning-based objects through the mapping of core meaning clusters to objects. The research process analyzes the key behaviors of users in purchasing drugs in common influenza, and obtains four semantic level meaning clusters through cluster analysis, namely \"want to buy drugs quickly and correctly\", \"want to fully understand the effects of drugs\", \"want doctors to provide advice on appropriate medication\" and \"want to raise awareness of antibiotic medications\". The study used AHP to analyze the meaning clusters and calculated the weights of each level to obtain the core meaning clusters of \"buy the right medicine quickly\", \"get the right medication diagnosis\", and \"understand the effect of the medicine\".The study reconstructed the service design system for users to purchase drugs in the process of common influenza through user requirements, summarized the key design elements, and improved the service function modules of online drug purchase and online consultation and advice.This study combines SAPAD model and AHP to design research on the user's antibiotic purchase process. Through the SAPAD model, we deeply study the user behavior, get the mapping of user behavior and meaning, and combine the quantitative research of AHP to get the core meaning cluster \"quickly buy the right medicine\", \"get the right diagnosis of medication\" and \"understand the effect of medication\", which guide the design of the service system of user's medication purchase process and the design of the APP for online medication purchase consultation. The SAPAD-AHP method in this study improved the function of the service system for antibiotic purchase process, and the designed output APP effectively improved the user's knowledge on the cautious use of antibiotics, strengthened the supervision of doctors' prescribing of antibiotics, and provided an effective solution to improve the problem of excessive use of antibacterial drugs in primary care institutions and rural areas.","PeriodicalId":389399,"journal":{"name":"Healthcare and Medical Devices","volume":"330 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Healthcare and Medical Devices","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe1002124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

In the medical field, more than half of people will choose antibiotics for self-medication, they believe that antibiotics can be used for illnesses such as colds and fevers, or even for viral infections, which accelerates bacterial immunity to antibiotics. Misuse of antibiotics is not only unhelpful, but can damage the organism in a variety of ways that can lead to drug resistance, drug toxicity and allergic reactions. Worldwide, hundreds of thousands of people die each year due to bacterial resistance. In China, the use of antibiotics is even higher in outpatient and inpatient settings. The misuse of antibiotics poses a serious threat to the effectiveness of their use. In order to raise awareness of the dangers of antibiotic misuse, reduce people's choice of non-essential antibiotic medication, and expand and improve monitoring of health care institutions, this study introduces the SAPAD model and AHP to tap into users' real needs and complete a study of users' service design system for antibiotic drug purchase.The article uses observation method, user interview method and questionnaire method in the early stage to get the process of users' medicine purchase in common flu. Based on the SAPAD model framework, the user behavior is disassembled, and the people and things involved in the drug purchase process are listed to complete the mapping of behavior-object-meaning. The study obtained meaning clusters by clustering analysis of meaning layers, and combined with AHP to calculate the weight of each meaning cluster to derive core meaning clusters. The SAPAD model is a user-centered model framework for solving practical problems, which can start from the user's behavior, analyze, cluster and reorganize the meaning behind the behavior layer by layer, and finally dig into the user's real needs; the AHP method combines qualitative and quantitative analysis, and is highly logical and scientific, which can be applied to this topic The effective combination of SAPAD model and hierarchical analysis can gradually quantify the qualitative analysis and obtain more objective research results, which provides new ideas for the theoretical research framework of service design.This study completes the construction of meaning-based objects through the mapping of core meaning clusters to objects. The research process analyzes the key behaviors of users in purchasing drugs in common influenza, and obtains four semantic level meaning clusters through cluster analysis, namely "want to buy drugs quickly and correctly", "want to fully understand the effects of drugs", "want doctors to provide advice on appropriate medication" and "want to raise awareness of antibiotic medications". The study used AHP to analyze the meaning clusters and calculated the weights of each level to obtain the core meaning clusters of "buy the right medicine quickly", "get the right medication diagnosis", and "understand the effect of the medicine".The study reconstructed the service design system for users to purchase drugs in the process of common influenza through user requirements, summarized the key design elements, and improved the service function modules of online drug purchase and online consultation and advice.This study combines SAPAD model and AHP to design research on the user's antibiotic purchase process. Through the SAPAD model, we deeply study the user behavior, get the mapping of user behavior and meaning, and combine the quantitative research of AHP to get the core meaning cluster "quickly buy the right medicine", "get the right diagnosis of medication" and "understand the effect of medication", which guide the design of the service system of user's medication purchase process and the design of the APP for online medication purchase consultation. The SAPAD-AHP method in this study improved the function of the service system for antibiotic purchase process, and the designed output APP effectively improved the user's knowledge on the cautious use of antibiotics, strengthened the supervision of doctors' prescribing of antibiotics, and provided an effective solution to improve the problem of excessive use of antibacterial drugs in primary care institutions and rural areas.
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基于SAPAD-AHP方法的抗生素采购服务设计分析
在医疗领域,超过一半的人会选择抗生素进行自我药疗,他们认为抗生素可以用于感冒、发烧等疾病,甚至可以用于病毒感染,这加速了细菌对抗生素的免疫。滥用抗生素不仅无益,而且会以各种方式损害机体,导致耐药性、药物毒性和过敏反应。在世界范围内,每年有数十万人死于细菌耐药性。在中国,门诊和住院的抗生素使用率甚至更高。抗生素的滥用对其使用的有效性构成严重威胁。为了提高人们对抗生素滥用危害的认识,减少人们对非必要抗生素药物的选择,扩大和完善医疗机构的监测,本研究引入SAPAD模型和AHP,挖掘用户的真实需求,完成用户购买抗生素药物的服务设计体系研究。本文采用观察法、用户访谈法和前期问卷调查法,对普通流感患者的药品购买过程进行了研究。基于SAPAD模型框架,对用户行为进行分解,列出药品购买过程中涉及的人和事,完成行为-对象-意义的映射。本研究通过对意义层进行聚类分析得到意义聚类,并结合层次分析法计算各意义聚类的权重,得到核心意义聚类。SAPAD模型是解决实际问题的以用户为中心的模型框架,可以从用户的行为出发,逐层分析、聚类、重组行为背后的意义,最终挖掘用户的真实需求;AHP方法将定性分析与定量分析相结合,具有高度的逻辑性和科学性,可应用于本课题,将SAPAD模型与层次分析有效结合,可逐步将定性分析量化,获得更加客观的研究结果,为服务设计的理论研究框架提供新的思路。本研究通过将核心意义聚类映射到对象,完成了基于意义的对象的构建。研究过程分析了普通流感用户购买药物的关键行为,通过聚类分析得到“希望快速正确地购买药物”、“希望充分了解药物的效果”、“希望医生提供合适的用药建议”和“希望提高对抗生素药物的认识”四个语义层次的意义聚类。本研究采用层次分析法对意义聚类进行分析,并计算各层次的权重,得到“快速买到对的药”、“得到对的药诊断”、“了解药的效果”的核心意义聚类。本研究通过用户需求重构普通流感过程中用户购药服务设计体系,总结关键设计要素,完善网上购药和网上咨询咨询服务功能模块。本研究结合SAPAD模型和AHP对用户抗生素购买过程进行设计研究。通过SAPAD模型对用户行为进行深入研究,得到用户行为与意义的映射,并结合AHP的定量研究得到“快速买到对的药”、“得到对的用药诊断”、“了解用药效果”的核心意义聚类,指导用户购药流程服务体系的设计和在线购药咨询APP的设计。本研究采用SAPAD-AHP方法完善了抗菌药物采购流程服务系统的功能,设计的输出APP有效提高了用户对抗菌药物谨慎使用的认识,加强了对医生处方抗菌药物的监管,为改善基层医疗机构和农村地区抗菌药物滥用问题提供了有效的解决方案。
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