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Aim An increase in average temperatures and acute heat events has been observed, which has led to an increase in hospital treatments. In the course of climate change, this may lead to a temporary overload of the healthcare system in the future. The aim of this review was to find out how digital health planning tools can be used to optimize the distribution of available resources and counteract overloads. In addition, the review sought to gather comprehensive insights to develop a corresponding tool as part of the project Medical Informatics Hub in Saxony (MiHUBx). Subjects and methods Six scientists from different disciplines were involved in the study, which was carried out as part of MiHUBx. The inclusion and exclusion criteria, based on the PICOS-scheme, guided the selection of relevant studies. The search was conducted in the Medline, IEEE and Web of Science databases and limited to the last ten years. Results We identified 21 studies published between 2013 and 2022. A connection was found between heat and use of the health system. These studies presented a conceptual framework, but none described the implementation of the instruments in standard care. However, it was shown that statistic models based on weather and health data can be suitable for predicting resource utilization and can optimize health supply. Conclusion It was shown that statistic models are suitable for predicting the use of resources to optimize healthcare provision and can therefore be developed in the project. In addition, requirements for the development of a resource allocation and planning tool were identified.
Aim An increase in average temperatures and acute heat events has been observed, which has led to an increase in hospital treatments. In the course of climate change, this may lead to a temporary overload of the healthcare system in the future. The aim of this review was to find out how digital health planning tools can be used to optimize the distribution of available resources and counteract overloads. In addition, the review sought to gather comprehensive insights to develop a corresponding tool as part of the project Medical Informatics Hub in Saxony (MiHUBx). Subjects and methods Six scientists from different disciplines were involved in the study, which was carried out as part of MiHUBx. The inclusion and exclusion criteria, based on the PICOS-scheme, guided the selection of relevant studies. The search was conducted in the Medline, IEEE and Web of Science databases and limited to the last ten years. Results We identified 21 studies published between 2013 and 2022. A connection was found between heat and use of the health system. These studies presented a conceptual framework, but none described the implementation of the instruments in standard care. However, it was shown that statistic models based on weather and health data can be suitable for predicting resource utilization and can optimize health supply. Conclusion It was shown that statistic models are suitable for predicting the use of resources to optimize healthcare provision and can therefore be developed in the project. In addition, requirements for the development of a resource allocation and planning tool were identified.
Despite the globalization of health information, collaborations between high-income countries (HICs) and low/middle-income countries (LMICs), while present, could still increase. This study builds on previous research highlighting LMIC underrepresentation in neurosurgery literature. We conducted a comprehensive bibliometric analysis using the Scopus database to investigate collaborative neurosurgical research between HIC institutions and those in low-income country (LIC)/LMICs. Articles published between 2018 and 2020 were examined. Articles were categorized into 3 groups: guidelines, conferences, and consensus statements; articles related to training and collaborations; and other articles. We categorized articles and authors by country, role, and specific subtopic. We included 238 reports from 34 neurosurgical journals for analysis. Geographic distribution indicated that India led LIC/LMIC contributions (25.21%). Among HICs, the United States had the highest contribution (47.76%). In collaborative studies, Uganda, Cameroon, Tanzania, Indonesia, and Nigeria made significant contributions. LICs and LMICs accounted for 446 authors, while HICs contributed with 592. India has presented the highest number of authors in significant positions. In HICs, significant positions are recognized in USA articles. When scoring authors' position in collaborative papers, still HICs had a clear prevalence. The highest number of collaborations between HICs and LICs/LMICs has been observed in articles related to training and collaborations. Kenya matched India's contributions in training and collaborations. Global guidelines and consensus papers can enhance patient care, but LMICs' involvement remains limited. Further attention to training and collaboration initiatives is needed. This study emphasizes the importance of promoting collaboration and training between countries with varying resources to advance neurosurgical care globally.
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