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. 2014 Apr 1;22(1):34.
doi: 10.1186/2008-2231-22-34.

A system dynamics model for national drug policy

Akbar Abdollahiasl  1 , Abbas Kebriaeezadeh, Rassoul Dinarvand, Mohammad Abdollahi, Abdol Majid Cheraghali, Mona Jaberidoost, Shekoufeh Nikfar
Affiliations

A system dynamics model for national drug policy

Akbar Abdollahiasl et al. Daru. .

Abstract

Background: Data modeling techniques can create a virtual world to analyze decision systems. National drug authorities can use such techniques to take care of their deficiencies in decision making processes. This study was designed to build a system dynamics model to simulate the effects of market mix variables (5 P's) on the national drug policy (NDP) indicators including availability, affordability, quality, and rationality. This was aimed to investigate how to increase the rationality of decision making, evaluate different alternatives, reduce the costs and identify the system obstacles.System dynamics is a computer-based approach for analyzing and designing complex systems over time. In this study the cognitive casualty map was developed to make a concept about the system then the stock-flow model was set up based on the market demand and supply concept.

Results: The model demonstrates the interdependencies between the NDP variables through four cognitive maps. Some issues in availability, willingness to pay, rational use and quality of medicines are pointed in the model. The stock-flow diagram shows how the demand for a medicine is formed and how it is responded through NDP objectives. The effects of changing variables on the other NDP variables can be studied after running the stock-flow model.

Conclusion: The model can initiate a fundamental structure for analyzing NDP. The conceptual model made a cognitive map to show many causes' and effects' trees and reveals some relations between NDP variables that are usually forgotten in the medicines affairs. The model also provides an opportunity to be expanded with more details on a specific disease for better policy making about medication.

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Figures

Figure 1
Figure 1
The primary summarized conceptual model for main variables in NDP.
Figure 2
Figure 2
The expanded conceptual model for NDP.
Figure 3
Figure 3
The conceptual model for availability.
Figure 4
Figure 4
The causes tree for “out of pocket”.
Figure 5
Figure 5
The causes tree for “willingness to pay”.
Figure 6
Figure 6
The conceptual model based on affordability.
Figure 7
Figure 7
The causes tree for quality.
Figure 8
Figure 8
The conceptual model for quality.
Figure 9
Figure 9
The conceptual model for rationality.
Figure 10
Figure 10
The stock flow model for NDP.
See this image and copyright information in PMC

References

    1. World Health Organization. How to develop and implement a national drug policy. Geneva: World Health Organization; 2002.
    1. World Health Organization. WHO medicines strategy: framework for action in essential drugs and medicines policy 2000–2003. Geneva: WHO; 2000.
    1. Kaplan A. Using the components of the marketing mix to market emergency services. Health Mark Q. 1984;2:53–62. - PubMed
    1. Nikfar S, Kebriaeezadeh A, Majdzadeh R, Abdollahi M. Monitoring of National Drug Policy (NDP) and its standardized indicators; conformity to decisions of the national drug selecting committee in Iran. BMC Int Health Hum Rights. 2005;5:5. doi: 10.1186/1472-698X-5-5. - DOI - PMC - PubMed
    1. Kruk ME, Freedman LP. Assessing health system performance in developing countries: a review of the literature. Health Policy. 2008;85:263–276. doi: 10.1016/j.healthpol.2007.09.003. - DOI - PubMed

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