Usefulness of statistical simulation to assess supply and demand for anesthesiologists in Uruguay (2011-2025)

A proposal for research and planning the need for human resources in Anesthesiology

Authors

  • Fiorella Cavalleri Universidad de la República, Facultad de Medicina, Departamento de Métodos Cuantitativos. Asistente
  • Pablo Castromán Universidad de la República, Facultad de Medicina, Departamento de Anestesiología. Prof. Agregado
  • Ana Rodríguez Universidad de la República, Facultad de Medicina, Departamento de Anestesiología. Prof. Agregado
  • Juan Riva Universidad de la República, Facultad de Medicina, Departamento de Anestesiología. Prof. Director

Keywords:

ANESTHESIOLOGY, ANESTHESIOLOGISTS, WORKFORCE, STATISTICS

Abstract

Introduction: there is a human resource shortage in Anesthesiology that mainly affects the public sub-sector.
Objectives: the study aimed at estimating the current deficit or surplus of anesthesiologists. It considered 2011 as a baseline and used statistical simulation to analyse the situation until 2025.
Method: the supply/demand of anesthesiologist was categorized by creating different scenarios according to the data collected from the Ministry of Public Health in 2010 and the National Census of 2011. This information was integrated and a simulation model was created by the system dynamics method. This method allows for the analysis of sensitivity: to incorporate different scenarios and study their impact on the model's evolution every year.
Results: deficit would disappear in a scenario with 11.28 anesthesiologists every 100,000 inhabitants. If the number of residents remains stable in 80, there would be a 50 surplus towards the end of the period (12.7 /100,000). These figures contemplate projections for the increase of surgeries. In the event of a demand that is larger and greater than the average in developed countries (15 every 100,000) it would be necessary to train as many as 113 residents. One of the main limitations for the application of the model was the absence of an appropriate organization of the practice of anesthesiology.
Conclusion: the model enabled to project the need of human resources for every year. These estimates may be adapted to changing situations and thus, allows for the design of a plan to train human resources in anesthesiology to meet needs.

References

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Published

2013-09-30

How to Cite

1.
Cavalleri F, Castromán P, Rodríguez A, Riva J. Usefulness of statistical simulation to assess supply and demand for anesthesiologists in Uruguay (2011-2025): A proposal for research and planning the need for human resources in Anesthesiology. Rev. Méd. Urug. [Internet]. 2013 Sep. 30 [cited 2024 Nov. 21];29(3):165-73. Available from: https://revista.rmu.org.uy/index.php/rmu/article/view/276

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