多标准决策分析(MCDA)是复杂决策情况下的有用工具,并已用于医学领域,以评估治疗方案和药物选择。本研究旨在通过考察现有研究的研究重点,为医疗保健中的MCDA提供有价值的见解,主要领域,主要应用,最有生产力的作者和国家,以及该领域最常见的期刊。
2021年7月14日,对来自WebofScienceCoreCollection(WoSCC)数据库的与医疗保健中的MCDA相关的出版物进行了文献计量分析。三个文献计量软件(VOSviewer,R-bibliometrix,和CiteSpace)用于进行分析,包括年份,国家,研究所,作者,期刊,共同引用参考文献,和关键词。
总共确定了410种出版物,平均年增长率为32%(1999-2021年),来自196种学术期刊,共有来自70个国家/地区的871家机构引用了23,637篇共引用参考文献。美国是生产力最高的国家(n=80)。Pendidikan苏丹伊德里斯大学(n=16),蒙特利尔大学(n=13),Syreon研究所(n=12)是最高的生产机构。AAZaidan,MireilleGoetghebeur和ZoltanKalo是每个作者网络集群中最大的节点。就文章数量(n=17)和引用次数(n=1,673)而言,排名靠前的期刊是《健康价值》和《医疗系统杂志》,分别。现有文献集中在四个方面,包括层次分析法(AHP),决策,卫生技术评估,和医疗废物管理。COVID-19和模糊TOPSIS最近受到了MCDA应用的关注。大数据中的MCDA,远程医疗,TOPSIS,模糊层次分析法是一个很好的发展和重要的主题,这可能是未来研究的趋势。
这项研究揭示了在医疗保健领域发表的MCDA相关文献的整体表现。MCDA在不同主题上有广泛的应用,对从业者有帮助,研究人员,以及在医疗保健领域工作的决策者,以推动医疗复杂决策的发展。可以说,改善MCDA在医疗保健中的作用的大门仍然是敞开的,无论是在其方法论中(例如,模糊TOPSIS)或应用(例如,远程医疗)。
Multicriteria decision analysis (MCDA) is a useful tool in complex decision-making situations, and has been used in medical fields to evaluate treatment options and drug selection. This study aims to provide valuable insights into MCDA in healthcare through examining the research focus of existing studies, major fields, major applications, most productive authors and countries, and most common journals in the domain.
A bibliometric analysis was conducted on the publication related to MCDA in healthcare from the Web of Science Core Collection (WoSCC) database on 14 July 2021. Three bibliometric software (VOSviewer, R-bibliometrix, and CiteSpace) were used to conduct the analysis including years, countries, institutes, authors, journals, co-citation references, and keywords.
A total of 410 publications were identified with an average yearly growth rate of 32% (1999-2021), from 196 academic journals with 23,637 co-citation references by 871 institutions from 70 countries/regions. The United States was the most productive country (n = 80). Universiti Pendidikan Sultan Idris (n = 16), Université de Montréal (n = 13), and Syreon Research Institute (n = 12) were the top productive institutions. A A Zaidan, Mireille Goetghebeur and Zoltan Kalo were the biggest nodes in every cluster of authors\' networks. The top journals in terms of the number of articles (n = 17) and citations (n = 1,673) were Value in Health and Journal of Medical Systems, respectively. The extant literature has focused on four aspects, including the analytic hierarchy process (AHP), decision-making, health technology assessment, and healthcare waste management. COVID-19 and fuzzy TOPSIS received careful attention from MCDA applications recently. MCDA in big data, telemedicine, TOPSIS, and fuzzy AHP is well-developed and an important theme, which may be the trend in future research.
This study uncovers a holistic picture of the performance of MCDA-related literature published in healthcare. MCDA has a broad application on different topics and would be helpful for practitioners, researchers, and decision-makers working in healthcare to advance the wheel of medical complex decision-making. It can be argued that the door is still open for improving the role of MCDA in healthcare, whether in its methodology (e.g., fuzzy TOPSIS) or application (e.g., telemedicine).