Bed capacity and surgical waiting lists: a simulation analysis
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Universidade da Coruña
Abstract
Waiting time for elective surgery is a key problem in the current medical world. This paper aims to reproduce, by a Monte Carlo simulation model, the relationship between hospital capacity, inpatient activity, and surgery waiting list size in teaching hospitals. Inpatient activity is simulated by fitting a Normal distribution to real inpatient activity data, and the effect of the number of beds on inpatient activity is modelled with a linear regression model. Analysis is performed with data of the University Multi-Hospital Complex of Santiago de Compostela (Santiago de Compostela, Spain), by considering two scenarios regarding the elastiticity of demand with bed increase. If demand does not grow with an increase on bed capacity, small changes lead to drastic reductions in the waiting lists. However, if demand grows as bed capacity does, adding additional capacity merely makes waiting lists worse
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Bed capacity and surgical waiting lists: a simulation analysis. (2015). European Journal of Government and Economics, 4(2), 118-133. https://doi.org/10.17979/ejge.2015.4.2.4310
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https://doi.org/10.17979/EJGE.2015.4.2.4310Sponsors
The authors thank two anonymous reviewers for useful comments and suggestions. They also acknowledge discussions with seminar participants at XV Applied Economics Meeting held in A Coruña (Spain) on June 7-8, 2012. MA acknowledges funding from the Galician Regional Government (Xunta de Galicia) through Grant GPC 2013-045. The work of AM-C was supported by the Spanish Ministry of Science and Innovation (Project MTM2008-03010), the Galician Regional Government (PGIDIT07PXIB207031PR), and the Spanish Ministry of Economy and Industry (10MDS207015PR).
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To facilitate maximum dissemination and use, all articles are licensed “Creative Commons Attribution-NonCommercial 4.0 International Public License (CC BY-NC 4.0)
Attribution-NonCommercial 4.0 International
Attribution-NonCommercial 4.0 International








