Location-allocation model for external beam radiotherapy as an example of an evidence-based management tool implemented in healthcare sector in Poland

Radiother Oncol. 2018 Apr;127(1):154-160. doi: 10.1016/j.radonc.2018.02.005. Epub 2018 Feb 21.

Abstract

Background and purpose: External beam radiotherapy (EBRT) is one of three key treatment modalities of cancer patients. Its utilisation and outcomes depend on a plethora of variables, one of which is the distance a patient must travel to undergo the treatment. The relation between distance and utilisation is clearly visible in Poland. At the same time no strategic investment plan is observed. This work proposes a method of resolving these two issues.

Materials and methods: We propose a mixed-integer linear programming model that aims to optimise the distribution of linear accelerators among selected locations in such a way that a patient's journey to the nearest EBRT is as short as possible. The optimisation is done with observance of international guidelines concerning EBRT capacity. With the use of proposed theoretical framework, we develop a national, strategic plan for linear accelerator investments.

Results: According to model assumptions decentralisation of EBRT, together with new equipment purchases, is required to ensure optimal access to EBRT.

Conclusions: The results were incorporated into Healthcare Needs Maps for Poland. The plan based on the results of this study, implemented by 2025, should deal with the most pressing concerns of Polish EBRT.

Keywords: Cancer policy; Evidence-based management in healthcare; External beam radiotherapy; Mixed-integer linear programming.

MeSH terms

  • Evidence-Based Practice / methods
  • Female
  • Health Care Sector / organization & administration*
  • Health Services Accessibility / organization & administration*
  • Humans
  • Male
  • Middle Aged
  • Models, Organizational*
  • Needs Assessment
  • Neoplasms / radiotherapy*
  • Particle Accelerators / supply & distribution
  • Poland
  • Radiation Oncology / organization & administration*