[Identifying the Regional Features in the Visiting Nursing Station Trade Area Using GIS]

Gan To Kagaku Ryoho. 2018 Mar;45(Suppl 1):27-28.
[Article in Japanese]

Abstract

In order to clarify the characteristics of the area where the visiting nursing station is located, we conducted a study to identify the regional characteristics of the visiting nursing station in Ishikawa Prefecture, using geographical information system(GIS). We mapped the elderly population, aging rate, and location data for the visiting nursing station using QGIS, and created trade areas(Voronoi diagrams). The aging rate for each trade area is 22.4%(min 8.8% to max 44.6%), about 5 times. The difference in area is about 850 times as large as the central value of 9.2 km2(min 0.5 km2 to max 423.2 km2). In addition, there was a tendency for stations with a large trade area to have a higher aging rate than that of smaller stations. Understanding the characteristics of the area surrounding visiting nursing stations using GIS facilitates the clarification of potential needs and opportunities for providing visiting nursing services that are suitable for each area.

MeSH terms

  • Aged
  • Geographic Information Systems*
  • Humans
  • Nursing Stations*