Patient preferences in diabetes care: a bibliometric analysis

Abstract

Background: The purpose of the study was to explore patient preferences in diabetes care by analyzing network visualization, overlay visualization, and density visualization. Main body: The study used bibliometric analysis for assessing related topics and patient preferences in diabetes care based on the repetition terms received. The data sources were based on online searches via https://app.dimensions.ai/ collected on August 22, 2023. The literature search was restricted to publications years 2015-2023, focused on the fields of Health sciences, biomedical and clinical science, nursing, public health, psychology, human society, nutrition and diabetes. Data were analysed using VOSviewer, The type of analysis is selected to create a map based on text data, further reviewed by co-occurrence and co-authors. From the network visualization, it was identified that there were 172 terminology items which were divided into 8 clusters with 6247 links with a strength of 34258. From each cluster, patient preferences among patients with diabetes were identified. Through overlay visualization analysis, it identified that a new topic being researched by scholars in various countries was racism toward patients with diabetes. Furthermore, in density visualization, a topic that few researchers have explored related to fulfilling patient preferences in diabetes care by maximizing telemedicine technology. Conclusion: Patient preferences in diabetes care are necessary. If patient preferences are considered, patients will feel involved in every decision-making as a result, they will be more responsible for the behaviour changes they have to make in diabetes care.