Investigating Accessibility of Hospitals in Cold Regions: A Case Study of Harbin in China

HERD. 2023 Jan;16(1):142-160. doi: 10.1177/19375867221120201. Epub 2022 Aug 30.

Abstract

Objective: The objective of this study is to explore healthcare resource accessibility in Harbin, a typical city in a cold region in China.

Background: Recently, investments in the construction of medical resources have been increasing annually in China, and consequently, the allocation of these resources has improved. Snow and ice on surfaces in China's cold regions have certain effects on the traffic capacity of urban roads, leading to a great difference in the accessibility of medical resources in winter and summer.

Methods: The basic spatial data, including spatial road data, medical facility data, and population distribution data, are analyzed using geographic information system. Then, a spatial barrier model is used to measure healthcare accessibility based on geographic and population weighting; we explore the accessibility of hospitals under the influence of weather by defining a novel distance attenuation function. Finally, the accessibility of medical institutions in the study area is explored by analyzing data about the related separation factors.

Results: It was found that the spatial distribution of medical resources was not equal, and the dominant resources were concentrated in the city center. Some regions are always in an advantageous position regardless of traffic conditions. In contrast, in areas far from the city center, the accessibility of medical resources significantly decreases in winter.

Conclusions: These results will help optimize the layout of medical institutions and improve medical equality and propose strategies for the optimization of the accessibility of urban medical institutions in cold regions of China.

Keywords: cold cities; distribution; medical institutions; weighted spatial separation model.

MeSH terms

  • China
  • Cities
  • Health Facilities
  • Health Services Accessibility*
  • Hospitals*
  • Humans