Scientometric analysis of nursing research on hip fracture: trends, topics, and profiles

Abstract

Objective: Bibliometrics, scientometrics and other related methodologies can be used to reveal the basic patterns, links to different subjects and areas, and demographic elements of a particular topic within the literature. The aim of this study is to reveal the patterns and trends in nursing research on hip fracture. Methods: This descriptive exploratory study can be classified in methodologies of bibliometrics, scientometrics and business intelligence. The Web of Science was the main data source. Related articles published between 1990 and 2020 were considered. In addition to tables, text analytics, and network models used in bibliometric mapping, Latent Dirichlet Allocation (LDA) enriched by business intelligence was utilized in the analysis of abstract data. Results: The total of 380 studies on hip fracture were identified (article=351, review=29). The number of retrieved articles exhibit an increasing trend by year, the highest number of articles was published in 2020. In terms of distribution of the 380 studies by country, the United States (n=159), Sweden (n=52) and Australia (n=32) were the top three countries. Among the ten topics identified by LDA, nursing care, mortality, and rehabilitation were the prominent ones. Nursing, delirium, and elderly were the most frequently used keywor ds. Frailty and rehabilitation were the most recently introduced keywo rds. Conclusion: The topics of nursing care, rehabilitation and care experiences have been studied intensively. Studies on issues that may occur with increasing age and where nursing care is important can be conducted in the future using business intelligence and bibliometric.