Quantifying spatial accessibility of general practitioners by applying a modified huff three-step floating catchment...

Area of Science:

• Healthcare accessibility research
• Geographic Information Systems (GIS)
• Spatial analysis

Background:

• Ensuring adequate healthcare access is crucial for public health.
• Current spatial modeling methods, including floating catchment area (FCA) techniques, aid in decision-making for healthcare planning.
• These methods consider factors like access, efficiency, budget, equity, and system utilization.

Purpose of the Study:

• To investigate and apply a spatial accessibility index using an improved Huff three-step floating catchment area (MH3SFCA) method.
• To quantify the spatial accessibility of general practitioners (GPs) with a sophisticated approach.
• To enhance existing FCA methods by incorporating a more realistic distance decay effect.

Main Methods:

• Modification and implementation of the Huff three-step floating catchment area (MH3SFCA) method.
• Application of a continuous approach for distance decay, considering individual distances between healthcare sites and populations.
• Utilizing data from Acxiom Deutschland GmbH (GP locations), OpenStreetMap (road networks), and German official census (population distribution) for Swabia and Augsburg, Germany.

Main Results:

• Spatial accessibility indices for GPs exhibit inhomogeneous and polycentric patterns, with significant differences between urban and rural areas.
• The MH3SFCA method effectively compares spatial accessibility across regions and identifies areas of over- and undersupply.
• Accessibility transitions are generally smooth, and higher index values indicate greater opportunities for the population.

Conclusions:

• The MH3SFCA method provides a valuable overview of small-scale accessibility but requires high-quality input data.
• Interpreting the complexity of accessibility indices necessitates further analysis or the application of specific constraints.
• The method is effective for detecting accessibility differences and potential healthcare supply/demand imbalances.