Development of a Methodology for Hospital Beds Planning according to Population and Morbidity

Heinz Vajasdi 1 , Nona Delia Chiriac 2 ,  and Dana Galieta Minca 2
  • 1 “Carol Davila” University of Medicine and Pharmacy, , Bucharest
  • 2 “Carol Davila” University of Medicine and Pharmacy, , Bucharest

Abstract

Introduction: Most of the forecast methods for hospital beds estimate a total number of beds per region, based on demographic and utilization indicators, without allocation on specialty wards.

Objectives: Develop a forecast methodology per specialty in a county, according to the population needs.

Materials and methods: Literature review, demographic data and indicators of hospital morbidity analysis; hospitalization rates adjustment for medical migration; model the allocation of new cases according to the previous hospitalization models.

Results: the excess of hospitalization between similar counties varies between -34.71 to 96.50%; adjustment of the hospital beds for patient migration leads to increase in the number of beds in 5 of 6 counties; the allocation of new cases, based on the previous model of hospitalization, triggers the reallocation between specialties.

Conclusions: demographic indicators, hospital activity, family doctor records can be used successfully to design the number of beds at county level, according to the needs of the population.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • 1. Tate R, MacWilliam L, Finlayson G. A Methodology for Estimating Hospital Bed Need in Manitoba in 2020. Canadian journal on aging - La revue canadienne du vieillissement. 2005;24 Suppl 1:141-51. 10.1353/cja.2005.0056.

  • 2. LeTouzé D. Hospital bed planning in Canada: a survey analysis. Int J Health Serv. 1984;14(1):105-126.

  • 3. https://en.wikipedia.org/wiki/Stochastic_modelling_(insurance)#Stochastic_modelling. Accessed on. 04.09.2019.

  • 4. http://www.asecib.ase.ro/Dobre/html/capitolul-5-1.html. Accessed on 04.09.2019.

  • 5. Panait CL. Oferta vs cererea de servicii de oferta vs cererea de servicii de oferta vs cererea de servicii de sănătate în contextul demografic tate în contextul demografic tate în contextul demografic actual din România, Management în sănătate. 2011;15(4):13-20.

  • 6. Vajasdi H, Chiriac ND, Minca DG. The assessment of morbidity and the use of hospital services in a county, for better planning hospital infrastructure. Acta Medica Transilvanica. 2019;24(2):1-5.

  • 7. Langley SA, Fuller SP, Messina JP, Shortridge AM, Grady SC. A methodology for projecting hospital bed need: a Michigan case study, Biol Med. 2010 Mar 25;5:4. doi: 10.1186/1751-0473-5-4.

  • 8. Ordinul ministrului sănătăţii nr. 1.408/2010 privind aprobarea criteriilor de clasificare a spitalelor în funcţie de competenţă.

  • 9. Chiriac ND, Minca DG, Mușat SN, Ciutan M. Studiul variaţiilor în utilizarea serviciilor spitaliceşti, pe baza datelor de case mix, în anul 2008, România, Management in health. 2010;14(2).

  • 10. Chiriac ND. Aspecte evolutive, variatii ale activitatii spitalicesti si ale practicii chirurgicale -per ansamblu si din perspectiva unor grupuri vulnerabile de pacienti, Management in health. 2010;14(3).

  • 11. Drăgoescu A. Reflectarea în legislaţia românească a continuităţii ca dimensiune a calităţii serviciilor de sănătate, Acta Medica Transilvanica. 2010;2(1):4-6.

OPEN ACCESS

Journal + Issues

Search