BMC Health Services Research (Apr 2020)

Effect of centralization on geographic accessibility of maternity hospitals in Finland

  • Tiina Huotari,
  • Jarmo Rusanen,
  • Timo Keistinen,
  • Tero Lähderanta,
  • Leena Ruha,
  • Mikko J. Sillanpää,
  • Harri Antikainen

DOI
https://doi.org/10.1186/s12913-020-05222-5
Journal volume & issue
Vol. 20, no. 1
pp. 1 – 9

Abstract

Read online

Abstract Background In the past two decades, the number of maternity hospitals in Finland has been reduced from 42 to 22. Notwithstanding the benefits of centralization for larger units in terms of increased safety, the closures will inevitably impair geographical accessibility of services. Methods This study aimed to employ a set of location-allocation methods to assess the potential impact on accessibility, should the number of maternity hospitals be reduced from 22 to 16. Accurate population grid data combined with road network and hospital facilities data is analyzed with three different location-allocation methods: straight, sequential and capacitated p-median. Results Depending on the method used to assess the impact of further reduction in the number of maternity hospitals, 0.6 to 2.7% of mothers would have more than a two-hour travel time to the nearest maternity hospital, while the corresponding figure is 0.5 in the current situation. The analyses highlight the areas where the number of births is low, but a maternity hospital is still important in terms of accessibility, and the areas where even one unit would be enough to take care of a considerable volume of births. Conclusions Even if the reduction in the number of hospitals might not drastically harm accessibility at the level of the entire population, considerable changes in accessibility can occur for clients living close to a maternity hospital facing closure. As different location-allocation analyses can result in different configurations of hospitals, decision-makers should be aware of their differences to ensure adequate accessibility for clients, especially in remote, sparsely populated areas.

Keywords