| Abstract [eng] |
Over the past decade, natural and human-caused disasters have increased in frequency and intensity, resulting in significant human losses and the widespread deterioration of health. These critical events threaten the healthcare sector, making it challenging to operate safely and continuously. This paper aims to review and assess the international scientific landscape on healthcare resilience during critical events. The research was based on scientific documents published in high-quality scientific journals indexed in the Scopus database. The search for relevant documents was conducted by using the keywords ‘critical events, healthcare, and resilience’ in the titles, abstracts, and keywords of the articles. The research sample comprises 720 publications in the fields of medicine, psychology, nursing, and health. The study period covers 2000-2023 (to 1 June 2023). This study followed a logical sequence to achieve its research goal. The first stage involved searching for, collecting, and pre-processing relevant articles. Next, various bibliometric techniques were used to analyse and visualise the findings. The bibliometric analysis involved the biblioshiny and VOSviewer 1.6.16 software toolkit and Scopus analytical tools. In the third stage, the results were integrated, and directions for future research were discussed. The bibliometric analysis reveals a growing trend in research on healthcare resilience during critical events. The findings determined that the key themes in the analysed scope of scientific literature are resilience, climate change, and emerging research areas. Furthermore, the research emphasises the need for further investigation into strengthening healthcare resilience during human-caused critical events such as crime, terrorism, wars, and cyber-attacks, which have been on the rise. The theoretical implications of the paper contribute to understanding the patterns and developments in the scientific literature, while the practical implications offer guidance for conducting bibliometric analyses and insights for future research. It should be noted that the findings of this study are limited to data from the Scopus database; future studies should incorporate a broader range of data sources for a more comprehensive analysis. |
