Background: The COVID-19 pandemic created many challenges for in-patient care including patient isolation and limitations on hospital visitation. Although communication technology, such as video calling or texting, can reduce social isolation, there are challenges for implementation, particularly for older adults.
Objective/methods: This study used a mixed methodology to understand the challenges faced by in-patients and to explore the perspectives of patients, family members, and health care providers (HCPs) regarding the use of communication technology. Surveys and focus groups were used.
Findings: Patients who had access to communication technology perceived the COVID-19 pandemic to have more adverse impact on their well-beings but less on hospitalization outcomes, compared to those without. Most HCPs perceived that technology could improve programs offered, connectedness of patients to others, and access to transitions of care supports. Focus groups highlighted challenges with technology infrastructure in hospitals.
Discussion: Our study findings may assist efforts in appropriately adopting communication technology to improve the quality of in-patient and transition care.
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http://dx.doi.org/10.1017/S0714980824000060 | DOI Listing |
Sci Rep
December 2024
School of Mechanical Engineering, Liaoning Engineering Vocational College, Tieling, 112008, Liaoning, People's Republic of China.
The paper proposes a multi-rigid-body system state identification method based on self-healing model in order to improve the accuracy and reliability of CNC machine tools. Firstly, considering the influence of the joint surface, the Lagrange method is used to establish the mechanical model of the multi-rigid-body system. We input acceleration information and use the second-order modulation function to complete the online real-time identification of the joint surface parameters, thereby establishing the self-healing mechanical model of the multi-rigid-body system.
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December 2024
Department of Electrical and Electronics Engineering, Engineering Faculty, Düzce University, Düzce, Turkey.
The study suggests a better multi-objective optimization method called 2-Archive Multi-Objective Cuckoo Search (MOCS2arc). It is then used to improve eight classical truss structures and six ZDT test functions. The optimization aims to minimize both mass and compliance simultaneously.
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December 2024
Merchant Marine College, Shanghai Maritime University, Shanghai, 201306, China.
The intelligent identification of wear particles in ferrography is a critical bottleneck that hampers the development and widespread adoption of ferrography technology. To address challenges such as false detection, missed detection of small wear particles, difficulty in distinguishing overlapping and similar abrasions, and handling complex image backgrounds, this paper proposes an algorithm called TCBGY-Net for detecting wear particles in ferrography images. The proposed TCBGY-Net uses YOLOv5s as the backbone network, which is enhanced with several advanced modules to improve detection performance.
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December 2024
College of Information Engineering, SuQian University, SuQian, 223800, China.
The safety and reliability of rotating machinery hinge significantly on the proper functioning of rolling bearings. In the last few years, there have been significant advances in the algorithms for intelligent fault diagnosis of bearings. However, the vibration signals collected by machines are inevitably affected by irrelevant noise because of the complex working environments of bearings.
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December 2024
Division of Genetics, Indian Agricultural Research Institute, New Delhi, 110012, India.
The mungbean yellow mosaic India virus (MYMIV, Begomovirus vignaradiataindiaense) causes Yellow Mosaic Disease (YMD) in mungbean (Vigna radiata L.). The biochemical assays including total phenol content (TPC), total flavonoid content (TFC), ascorbic acid (AA), DPPH (2,2-diphenyl-1-picrylhydrazyl), and FRAP (Ferric Reducing Antioxidant Power) were used to study the mungbean plants defense response to MYMIV infection.
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