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178: FORECASTING THE SHORTAGE OF NEUROSURGEONS IN IRAN USING A SYSTEM DYNAMICS MODEL APPROACH
  1. Mohammad Ranjbar Ezzatabadi1,
  2. Sina Abdollah Zadeh2,
  3. Sima Rafiei3
  1. 1Assistant professor, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
  2. 2Assistant professor, School of Medicine, Bam University of Medical Sciences, Bam, Iran
  3. 3Assistant professor, School of Health, Qazvin University of Medical Sciences, Qazvin, Iran.

Abstract

Background and aims: Shortage of physicians particularly in specialty levels is considered as an important issue in Iran health system. Thus in an uncertain environment, long term planning is required for health professionals as a basic priority on a national scale.

The study aimed to estimate the number of required neurosurgeons using system dynamic modelling.

Methods: System dynamic modelling was applied to predict the gap between stock and number of required neurosurgeons in Iran up to 2020. A supply and demand simulation model was constructed for neurosurgeons using system dynamic approach. The demand model included epidemiological, demographic and utilization variables. Along with, supply model incorporated current stock of neurosurgeons and flow variables such as: attrition, migration and retirement rate. Data were obtained from various governmental databases were analysed by Vensim PLE Version 3.0 to address the flow of health professionals, clinical infrastructure, population demographics and disease prevalence during the time.

Results: It was forecasted that shortage in number of neurosurgeons would disappear at 2020. The most dominant determinants on predicted number of neurosurgeons were the prevalence of neurosurgical diseases, the rate for service utilization and medical capacity of the region.

Conclusion: Results of the study suggests that shortage of neurosurgeons in some areas of the country relates to maldistribution of the specialists. Accordingly there is a need to reconsider the allocation system for health professionals within the country instead of increasing the overall number of acceptance quota in training positions.

  • Demand
  • Forecast
  • Supply
  • Shortage
  • System Dynamics.

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

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