| 英文摘要 |
This study evaluates medical diversity and medical spatial gaps by comparing two research methodologies: Multi-Stage Spatial Data Mining (MSDM) and Two-Step Floating Catchment Area (2SFCA) methods. Medical spatial gaps encompass horizontal resource distribution and vertical disparities based on the different medical levels people seek for various medical needs. Medical diversity refers to the variety of healthcare institutions individuals choose due to their diverse services. Previous research in Taiwan has not sufficiently addressed the assessment of vertical medical resource gaps, so it is crucial to compare the spatial coverage of these methods across multiple medical levels. Both methodologies aim to reveal medical distribution and disparities. The findings indicate that northern Taiwan exhibits a spatial coverage of 55% to 68%, with pharmacies encompassing the lowest coverage. MSDM yields higher medical coverage than 2SFCA, with differences of approximately 20.06% to 40.52% in the coverage area. Pearson correlation coefficients and Kappa statistics show a positive correlation of over sixty percent between the two methods. The primary distinction between these two methods lies in their underlying approaches. 2SFCA primarily examines the spatial relationships between resource supply and demand, focusing on the interplay between these factors. In contrast, MSDM delves into medical diversity in specific locations or regions, capturing vast datasets and identifying intricate geographic patterns and trends. Importantly, MSDM offers insights into the diverse medical tiers in Taiwan, thereby addressing the gaps in vertical medical assessment methodologies. |