Background: The concept of patient navigation was first established in the USA to support vulnerable patient groups in receiving timely and comprehensive access to cancer care. It has recently gained increasing interest in Germany to support patients with chronic diseases in a fragmented healthcare system. The aim of this paper is to present the development of such a model adapted to the German context based on the results of mixed-methods studies investigating the need for and barriers to patient-oriented care.
Methods: In a process adapted from Delphi rounds, we conducted regular structured workshops with investigators of the project to discuss results of their studies and identify content and structure of the model based on the data. Workshop discussions were structured along seven core components of a navigation model including target patient groups, navigator tasks, occupational background and education of navigators, and patient-navigator interaction mode.
Results: Using an approach based on empirical data of current care practices with special focus on patients' perspectives, we developed a patient-oriented navigation model for patients who have experienced stroke and lung cancer in the German healthcare context. Patients without personal social support were viewed as struggling most with the healthcare system, as well as multimorbid and elderly patients. Navigators should serve as a longer-term contact person with a flexible contact mode and timing based on the individual situation and preferences of patients. Navigator tasks include the provision of administrative and organizational support as well as referral and guidance to available resources and beneficial health programs with special forms of knowledge. Implementation of the navigator should be flexibly located to ensure a reliable outreach to vulnerable patients for first contact in settings like specialized in-patient and out-patient settings, while navigation itself focuses on care coordination in the out-patient setting.
Conclusion: Flexibility of navigator tasks needed to be a core characteristic of a navigation model to be perceived as supportive from patients' perspectives. In a subsequent feasibility study, an intervention based on the model will be evaluated according to its acceptance, demand, and practicality.
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http://dx.doi.org/10.1186/s12913-022-08063-6 | DOI Listing |
Oral Surg Oral Med Oral Pathol Oral Radiol
October 2024
Department of Biomedical Engineering, Ankara University, Ankara, Turkey.
Objective: The production of 3-dimensional models and materials according to preoperative virtual surgical planning is a time-consuming process and causes high costs. We aimed to demonstrate the navigation mediated reconstruction of the patients who underwent the removal of a tumoral mass in midfacial region according to their preoperatively prepared surgical plannings.
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J Stomatol Oral Maxillofac Surg
December 2024
Department of Plastic, Hand, and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany.
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December 2024
Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium. Electronic address:
Descartes' systematic physics had little to do with his quantitative accounts of natural phenomena. The former was metaphysical and was concerned with uncovering the causes operating in nature, while the latter dealt with establishing mathematical relations between various natural quantities. I reconstruct a dominant interpretation in recent literature which argues that the two practices are autonomous, and that quantitative problem-solving is normatively subordinated to metaphysical physics.
View Article and Find Full Text PDFSci Rep
December 2024
New Technology Research Institute, BYD Auto Industry Co., Ltd., Shenzhen, 518118, China.
Effective road terrain recognition is crucial for enhancing the driving safety, passability, and comfort of autonomous vehicles. This study addresses the challenges of accurately identifying diverse road surfaces using deep learning in complex environments. We introduce a novel end-to-end Tire Noise Recognition Residual Network (TNResNet) integrated with a time-frequency attention module, designed to capture and leverage time-frequency information from tire noise signals for road terrain classification.
View Article and Find Full Text PDFBiomimetics (Basel)
December 2024
School of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China.
Three-dimensional (3D) path planning is a crucial technology for ensuring the efficient and safe flight of UAVs in complex environments. Traditional path planning algorithms often find it challenging to navigate complex obstacle environments, making it challenging to quickly identify the optimal path. To address these challenges, this paper introduces a Nutcracker Optimizer integrated with Hyperbolic Sine-Cosine (ISCHNOA).
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