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Accessibility of tertiary hospitals in Finland: A comparison of administrative and normative catchment areas

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  • Huotari, Tiina
  • Antikainen, Harri
  • Keistinen, Timo
  • Rusanen, Jarmo

Abstract

The determination of an appropriate catchment area for a hospital providing highly specialized (i.e. tertiary) health care is typically a trade-off between ensuring adequate client volumes and maintaining reasonable accessibility for all potential clients. This may pose considerable challenges, especially in sparsely inhabited regions. In Finland, tertiary health care is concentrated in five university hospitals, which provide services in their dedicated catchment areas. This study utilizes Geographic Information Systems (GIS), together with grid-based population data and travel-time estimates, to assess the spatial accessibility of these hospitals. The current geographical configuration of the hospitals is compared to a normative assignment, with and without capacity constraints. The aim is to define optimal catchment areas for tertiary hospitals so that their spatial accessibility is as equal as possible. The results indicate that relatively modest improvements can be achieved in accessibility by using normative assignment to determine catchment areas.

Suggested Citation

  • Huotari, Tiina & Antikainen, Harri & Keistinen, Timo & Rusanen, Jarmo, 2017. "Accessibility of tertiary hospitals in Finland: A comparison of administrative and normative catchment areas," Social Science & Medicine, Elsevier, vol. 182(C), pages 60-67.
    • Handle: RePEc:eee:socmed:v:182:y:2017:i:c:p:60-67
    DOI: 10.1016/j.socscimed.2017.04.015
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    References listed on IDEAS

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    1. Pan, Jay & Zhao, Hanqing & Wang, Xiuli & Shi, Xun, 2016. "Assessing spatial access to public and private hospitals in Sichuan, China: The influence of the private sector on the healthcare geography in China," Social Science & Medicine, Elsevier, vol. 170(C), pages 35-45.
    2. Hannu Tervo, 2005. "Regional Policy Lessons from Finland," Advances in Spatial Science, in: Daniel Felsenstein & Boris A. Portnov (ed.), Regional Disparities in Small Countries, chapter 15, pages 267-282, Springer.
    3. Jomon Aliyas Paul & Rajan Batta, 2008. "Models for hospital location and capacity allocation for an area prone to natural disasters," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 3(5), pages 473-496.
    4. Liu, Liyan & Hader, Joanne & Brossart, Bonnie & White, Robin & Lewis, Steven, 2001. "Impact of rural hospital closures in Saskatchewan, Canada," Social Science & Medicine, Elsevier, vol. 52(12), pages 1793-1804, June.
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    Cited by:

    1. Jingya Luan & Yuhong Tian & Chi Yung Jim & Xu Liu & Mengxuan Yan & Lizhu Wu, 2023. "Assessing Spatial Accessibility of Community Hospitals for the Elderly in Beijing, China," IJERPH, MDPI, vol. 20(1), pages 1-19, January.
    2. Min Cheng & Li Tao & Yuejiao Lian & Weiwei Huang, 2021. "Measuring Spatial Accessibility of Urban Medical Facilities: A Case Study in Changning District of Shanghai in China," IJERPH, MDPI, vol. 18(18), pages 1-18, September.
    3. Gerardo Carpentieri & Carmen Guida & Houshmand E. Masoumi, 2020. "Multimodal Accessibility to Primary Health Services for the Elderly: A Case Study of Naples, Italy," Sustainability, MDPI, vol. 12(3), pages 1-15, January.
    4. Min Weng & Tingting Liu & Mengjun Kang, 2017. "Liver cancer mapping based on actual medical treatment choices," Journal of Maps, Taylor & Francis Journals, vol. 13(1), pages 124-129, January.

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