Autonomous driving paper index
What influences the perceived access to healthcare services? An investigation using Structural Equation Modeling
One-line summary
Background Access to healthcare is a fundamental determinant of public health sustainability.
Engineering notes
Key topics: autonomous driving, perception, planning. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Background Access to healthcare is a fundamental determinant of public health sustainability. Current literature on healthcare access tends to focus largely on vulnerable groups and objective indicators where access is defined through service utilization. When the literature on “perceived access to healthcare” is examined, it is observed that perceived access is generally treated as a determining factor explaining health outcomes or behaviors. However, the investigation of the socioeconomic, self-rated health, health literacy and spatial features that shape this perception itself within a holistic framework remains a less focused area in the literature. Methodologically, perceived access to healthcare is often defined with a limited number of variables or specifically within particular disease groups. Especially in regions such as Trabzon, where rugged topography and geographical barriers are intertwined with socio-cultural dynamics, analyzing the factors shaping the individual’s perception of access within a comprehensive framework will offer a significant contribution to the literature. This study aims to integrate multidimensional factors -including socioeconomic status (SES), self-rated health, health literacy, health-seeking behavior, and travel time-into a comprehensive structural framework for the first time in the literature; to validate their effects through Structural Equation Modeling (SEM), and to uncover the spatial dependence patterns in access. Methods This reearch was conducted with 1,491 adults. Data were analyzed using Structural Equation Modeling (SEM) to evaluate multidimensional pathways, and geospatial analysis was performed to determine spatial dependence patterns. Results The results of the research demonstrate that health literacy and professional health-seeking behavior are the primary elements strengthening the perception of access, whereas online health-seeking and increased travel time weaken this perception. One of the most original findings of the study is that the direct negative effect of SES on access is balanced through health literacy; this indicates that cognitive capacity can mitigate socioeconomic disadvantages. Spatial models confirm that while the general perceived access to healthcare is shaped by personal factors, the “accessibility” dimension exhibits a spatial dependence tied to local topography within a 1-km radius. Conclusion Consequently, these findings scientifically support that health planning should shift from macro-scale strategies toward micro-spatial interventions aimed at minimizing physical barriers at the neighborhood and street levels. Integrating approaches that improve health literacy with interventions that minimize travel barriers will play a fundamental role in reducing health inequalities.
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