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BACKGROUND: The purpose of this study was to gather information regarding current practices in the care of carpometacarpal (CMC) arthroplasty including the use of hand therapy, immobilization, and surgical technique, and to determine which factors influence these patterns. METHODS: We conducted a survey from February 24, 2022, through March 26, 2022, of 3648 currently practicing members of the American Society for Surgery of the Hand. We developed an 11-item questionnaire that contained questions about surgical technique, immobilization, and postoperative therapy utilization. Results were analyzed using chi-square analysis and a Bonferroni correction was applied to account for multiple comparisons. Statistical significance was set at a P-value of less than .05. RESULTS: A total of 811 hand surgeons completed the survey (22% response rate). Surgeons who are employed by the same medical center as their hand therapist use more in-person hand therapy than surgeons with other types of business relationships. Surgeons with more than 25 years of experience are less likely to recommend therapy routinely, more likely to use ligament reconstruction and tendon interposition, and less likely to be an employee of the same medical center as their hand therapist. The length of immobilization and the time at which hand therapy began were related to surgical technique. CONCLUSIONS: Variability in hand therapy usage after CMC arthroplasty is at least partially explained by business relationships with hand therapists and surgeon experience. Variability in the length of immobilization and the beginning of hand therapy postoperatively was more associated with surgical technique.
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Following the COVID-19 outbreak, the health sector is undergoing a deep transformation that is increasingly pushing it towards the exploitation of technology, thus fostering the growth of digital health (eHealth). Cellular networks play a pivotal role in promoting the digitalization of healthcare, and researchers are banking on beyond fifth-generation (B5G) and sixth-generation (6G) technologies to reach the turning point, given that, according to forecasts, 5G will not be able to meet future expectations. Security is an aspect that definitely should not be overlooked for the success of eHealth to occur. This work aims to address the security issue from a poorly explored viewpoint, namely that of economics. In this paper, we first describe the main eHealth services, highlighting the key stakeholders involved. Then, we discuss how next-generation technologies could support these services to identify possible business relationships and, therefore, to realize an innovative business-oriented security analysis. A qualitative assessment of the impact of specific security breaches in diverse business conditions is provided. Moreover, we examine a case study in order to show the effects of security attacks in a definite scenario and discuss their impact on business dynamics.
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Inter-domain routing systems is an important complex network in the Internet. Research on the vulnerability of inter-domain routing network nodes is of great support to the stable operation of the Internet. For the problem of node vulnerability, we proposed a method for identifying key nodes in inter-domain routing systems based on cascading failures (IKN-CF). Firstly, we analyzed the topology of inter-domain routing network and proposed an optimal valid path discovery algorithm considering business relationships. Then, the reason and propagation mechanism of cascading failure in the inter-domain routing network were analyzed, and we proposed two cascading indicators, which can approximate the impact of node failure on the network. After that, we established a key node identification model based on improved entropy weight TOPSIS (EWT), and the key node sequence in the network can be obtained through EWT calculation. We compared the existing three methods in two real inter-domain routing networks. The results indicate that the ranking results of IKN-CF are high accuracy, strong stability, and wide applicability. The accuracy of the top 100 nodes of the ranking result can reach 83.6%, which is at least 12.8% higher than the average accuracy of the existing three methods.