A VOSviewer-Based Bibliometric Analysis of Prescription Refills

Abstract

PurposePrescription refills are long-term prescriptions for chronic patients in stable status, which varies from country to country. A well-established prescription refill system is beneficial for chronic patients’ medication management and facilitates the efficacy of clinical care. Therefore, we carried out a bibliometric analysis to examine the development of this field.SummaryPublications on prescription refills from 1970 to 2021 were collected in the Web of Science Core Collection (WoSCC). Search strategy TS = “prescri* refill*” OR “medi* refill*” OR “repeat prescri*” OR “repeat dispens*” OR TI = refill* was used for search. VOSviewer was applied to visualize the bibliometric analysis. A total of 319 publications were found in WoSCC. Study attention on prescription refills has shown a steady rise but is still low in recent years. The United States was the most productive country, which had the highest total citations, average citations per publication, and the highest H-index, and participated in international collaboration most frequently. The University of California system was the most productive institution. The U.S. Department of Veterans Affairs was the institution with the most citations, most average citation, and highest H-index. Sundell was the most productive author, and Steiner J. F. was the most influential author. “Adherence,” “medication,” and “therapy” were the most prominent keywords.ConclusionPublications on prescription refills have increased rapidly and continue to grow. The United States had the leading position in the area. It is recommended to pay closer attention to the latest hotspots, such as “Opioids,” “Surgery,” “Differentiated care,” and “HIV.”

Mapping trends and hotspot regarding gastrointestinal microbiome and neuroscience: A bibliometric analysis of global research (2002–2022)

“…The bibliometric analysis is one method for measuring the development of an area of study ( Flay, 1986 ; Milat et al, 2011 ), and it may be applied to explore, analyze, and summarize the formation of knowledge’s structure in the spatiotemporal dimensions. This approach, which has been used in a variety of domestic and international fields, offers a diverse perspective that traditional literature reviews and systematic reviews cannot ( Chen et al, 2014 ; Cesarano et al, 2021 ; Ma S. et al, 2021 ; Pan et al, 2021 ; Pasin and Pasin, 2021 ; Shi et al, 2021 ; Wu et al, 2021a ; Fu et al, 2022 ). Bibliometric analysis has been widely used in the field of microbial science, such as microbiome and COVID-19 ( Xavier-Santos et al, 2022 ), gut microbiota and host immune response ( Ni et al, 2022 ), gut microbiota and atherosclerosis ( Wang Y. et al, 2022 ), microbiome-gut-brain axis ( Wang H. et al, 2022 ), gut microbiota and heart failure ( Mu et al, 2022 ), gut microbiome and cancer ( Zyoud et al, 2022 ), the intestinal microbiome and inflammatory bowel disease ( Xu et al, 2022 ), gut microbiota and Parkinson’s disease ( Cabanillas-Lazo et al, 2022 ), and gut microbiota and depression ( Zhu et al, 2021 ).…”

Research hotspots and trends of complementary and alternative therapy for neuropathic pain: A bibliometric analysis

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Global status of research on cutaneous squamous cell carcinoma and its programmed cell death: Bibliometric and visual analysis from 2012 to middle 2022

“…Up to now, knowledge graph has become one of the frontiers of visualization research in various fields. Among them, VOSviewer ( 12 , 13 ), a visualization software developed by Van Eck and Waltman of Leiden University in the Netherlands, and CiteSpace ( 14 – 16 ), a visualization software developed by Chen Chaomei, a professor of computer and Information science at Drexel University in the United States, using the Java language, have attracted much attention. In this study, CiteSpace (Version 6.1.R2), VOSviewer (Version 1.6.10) and the literature statistics tools of WoSCC database were used to sort out and analyze CSCC related literatures, and verify the results of each other to ensure the accuracy of analysis.…”