ObjectiveTo systematically map the research landscape, hotspots, and evolutionary trends of Chinese-language literature on value-based healthcare (VBHC) in China, and to provide evidence for advancing localized VBHC research and practice. Methods VBHC-related publications published between January 1, 2006 and August 30, 2024 were retrieved from the China National Knowledge Infrastructure, Wanfang Data, and VIP database. CiteSpace was used for visualized bibliometric analyses, including co-authorship, institutional collaboration, keyword co-occurrence, clustering, burst detection, and timeline mapping. Results A total of 237 articles were included. Since 2017, VBHC-related publications in China have increased markedly. Collaboration networks among institutions and authors showed low density, indicating relatively weak and fragmented cooperation. High-frequency keywords included “value co-creation” “public hospitals” and “value orientation”. Burst analysis identified “healthcare costs” “value co-creation” and “medical insurance payment” as major recent research focuses. The timeline map suggested three stages in the evolution of VBHC research: initial exploration, emerging development, and rapid growth of research hotspots. ConclusionsInterest in VBHC research in China continues to grow, yet collaborative research and interdisciplinary integration remain limited. Future efforts should strengthen cross-institutional and cross-disciplinary collaboration, promote the development of shared data platforms, and build VBHC evaluation frameworks tailored to China’s institutional context.
Transcranial magnetic stimulation (TMS), a widely used neuroregulatory technique, has been proven to be effective in treating neurological and psychiatric disorders. The therapeutic effect is closely related to the intracranial electric field caused by TMS, thus accurate measurement of the intracranial electric field generated by TMS is of great significance. However, direct intracranial measurement in human brain faces various technical, safety, ethical and other limitations. Therefore, we have constructed a brain phantom that can simulate the electrical conductivity and anatomical structure of the real brain, in order to replace the clinical trial to achieve intracranial electric field measurement. We selected and prepared suitable conductive materials based on the electrical conductivity of various layers of the real brain tissue, and performed image segmentation, three-dimensional reconstruction and three-dimensional printing processes on each layer of tissue based on magnetic resonance images. The production of each layer of tissue in the brain phantom was completed, and each layer of tissue was combined to form a complete brain phantom. The induced electric field generated by the TMS coil applied to the brain phantom was measured to further verify the conductivity of the brain phantom. Our study provides an effective experimental tool for studying the distribution of intracranial electric fields caused by TMS.
Transcranial magnetic stimulation (TMS) is widely used in the treatment of neuropsychiatric disorders, and the stimulation coil constitutes a critical component of TMS devices. Existing inductance calculations for figure-8 coils suffer from three notable shortcomings: they are mostly limited to single-layer geometries, they still rely on elliptic integrals, and they systematically overlook spatial mutual coupling among windings. To address these issues, we propose a high-precision analytical method that accommodates both flat spiral and multi-layer stacked coil configurations. Instead of adopting a conventional lumped-equivalent model, the proposed approach decoupled the total inductance into four independent contributions: self-inductance, coaxial layer-to-layer mutual inductance, coplanar mutual inductance, and non-coplanar mutual inductance. The self-inductance term was computed through a modified magnetic circuit procedure. The coaxial mutual inductance was obtained from parametric curves that incorporated the wire cross-section, built upon the geometric mean distance theory. The coplanar and non-coplanar mutual inductances were derived by combining the Maxwell–Wien series expansion with geometric perturbation theory. The overall coil inductance was then determined by analyzing the circuit connection. Finite element simulations and experimental measurements verified the accuracy and robustness of the method at both the individual-component level and the system level, laying a theoretical foundation for the optimal design of high-performance TMS coils.