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Optimal allocation of urban nuclei to hospital birth centres in a geographical region

In: Advanced Decision Making Methods Applied to Health Care

Author

Listed:
  • Paola Facchin

    (University of Padova)

  • Anna Ferrante

    (University of Padova)

  • Elena Rizzato

    (University of Padova)

  • Giorgio Romanin-Jacur

    (University of Padova)

  • Laura Salmaso

    (University of Padova)

Abstract

We consider a geographical region with a three-tiered neonatal care network, which includes birth centres for supplying basic assistance for delivery, neonatal care and neonatal intensive care, with a design such that all higher-level centres also provide the lower levels of assistance. The region’s population is distributed in urban nuclei, the needs of which — in terms of assistance related to birth and newborn — are established on the basis of statistical analyses. Every mother-to-be is admitted to a birth centre serving the level corresponding to the needs of her pregnancy. Newborn transfers from a lower- to a higher-level centre are feasible in the event of unforeseen health issues. In this chapter we allocate urban nuclei to birth centres for what concerns all-level admissions, also allocating lower-level centres to suitable upper-level centres for any transfers, with a view to minimising the inconvenience due to the distances involved without overloading any centres; we use the results obtained for suitably resizing the network to further improve its efficiency. The allocation model is a linear program solved using GAMS algebraic language and Cplex solver. An actual application was considered.

Suggested Citation

  • Paola Facchin & Anna Ferrante & Elena Rizzato & Giorgio Romanin-Jacur & Laura Salmaso, 2012. "Optimal allocation of urban nuclei to hospital birth centres in a geographical region," International Series in Operations Research & Management Science, in: Elena Tànfani & Angela Testi (ed.), Advanced Decision Making Methods Applied to Health Care, chapter 0, pages 103-120, Springer.
  • Handle: RePEc:spr:isochp:978-88-470-2321-5_7
    DOI: 10.1007/978-88-470-2321-5_7
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