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

Author:

Vajasdi Heinz1,Chiriac Nona Delia2,Minca Dana Galieta2

Affiliation:

1. PhDStudent, “Carol Davila” University of Medicine and Pharmacy , Bucharest

2. “Carol Davila” University of Medicine and Pharmacy , Bucharest

Abstract

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.

Publisher

Walter de Gruyter GmbH

Reference11 articles.

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2. 2. LeTouzé D. Hospital bed planning in Canada: a survey analysis. Int J Health Serv. 1984;14(1):105-126.10.2190/VP12-1P1E-HTWU-B9UH

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

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