IntroductionSupply of medicine as a strategic product in any health system is a top priority. Pharmaceutical companies, a major player of the drug supply chain, are subject to many risks. These risks disrupt the supply of medicine in many ways such as their quantity and quality and their delivery to the right place and customers and at the right time. Therefore risk identification in the supply process of pharmaceutical companies and mitigate them is highly recommended.ObjectiveIn this study it is attempted to investigate pharmaceutical supply chain risks with perspective of manufacturing companies.MethodsScopus, PubMed, Web of Science bibliographic databases and Google scholar scientific search engines were searched for pharmaceutical supply chain risk management studies with 6 different groups of keywords. All results found by keywords were reviewed and none-relevant articles were excluded by outcome of interests and researcher boundaries of study within 4 steps and through a systematic method.ResultsNine articles were included in the systematic review and totally 50 main risks based on study outcome of interest extracted which classified in 7 categories. Most of reported risks were related to supply and supplier issues. Organization and strategy issues, financial, logistic, political, market and regulatory issues were in next level of importance.ConclusionIt was shown that the majority of risks in pharmaceutical supply chain were internal risks due to processes, people and functions mismanagement which could be managed by suitable mitigation strategies.

BackgroundSo far, no detailed study of the Iranian pharmaceutical market has been conducted, and only a few studies have analyzed medicine consumption and expenditure in Iran. Pharmaceutical market trend analysis remains one of the most useful instruments to evaluate the pharmaceutical systems efficiency. An increase in imports of medicines, and a simultaneous decrease in domestic production prompted us to investigate the pharmaceutical expenditure structure. On the other hand, analyzing statistics provides a suitable method to assess the outcomes of national pharmaceutical policies and regulations.MethodsThis is a descriptive and cross-sectional study which investigates the Iranian pharmaceutical market over a 13-year period (1997–2010). This study used the Iranian pharmaceutical statistical datasheet published by the Iranian Ministry of Health. Systematic searches of the relevant Persian and English research literature were made. In addition, official government documents were analyzed as sources of both data and detailed statements of policy.ResultsAnalysis of the Iranian pharmaceutical market in the 13-year period shows that medicine consumption sales value growth has been 28.38% annually. Determination of domestic production and import reveals that 9.3% and 42.3% annual growth, respectively, have been experienced.ConclusionsThe Iranian pharmaceutical market has undergone great growth in comparison with developing countries and the pharmerging group, and the market is expanding quickly while a major share goes to biotechnology drugs, which implies the need to commercialization activities in novel fields like pharmaceutical biotechnology. This market expansion has been in favor of imported medicine in sales terms, caused by the reinforcement of suspicious policies of policy makers that necessitates fundamental rearrangements.

BackgroundData 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.ResultsThe 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.ConclusionThe 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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Background and purpose of the studyIntractable seizures are a subgroup of epileptic disorders challenging the physicians’ skills to become controlled. Showing resistance towards common pharmacotherapy, they demand newer antiepileptic drugs acquired at higher costs. 0.06% of children around the world are estimated to suffer from epilepsy and its consequences. The aim of the present study has been to evaluate the cost-effectiveness of these drugs in the treatment of intractable seizures in children.MethodsClinical and cost data were collected from medical and cost records preserved at a neurologist office and a referral pharmacy respectively. Based on the new AED which are accessible in Iran, regimens were categorized into eight groups. The first group consisting of conventional AEDs was considered as comparator and the effectiveness of other groups was compared with it. Incremental Cost-effectiveness Ratio (ICER) of adding-on each new antiepileptic drug was calculated in terms of Rials per consequence (Rls/consq) and compared with each other. Furthermore ICER of the regimens was compared with the GDP per capita (Gross Domestic Product) of the year (2010).Resultsthe ICER of the adding-on regimens range from negative values for Gabapentin, Levetiracetam and Zonisamide to low values for Lamotrigine (~ 6.4 million Rials/consequence [mil Rls/consq]) and Oxcarbazepine (~7.7 mil Rls/consq) and followed by high values for Topiramate (~21 mil Rls/consq) and Vigabatrin (~43.7 mil Rls/consq) considering the three months of remaining on regimen. By increasing the limit of remaining time to six months, the previously mentioned regimens persist on negative values. However Oxcarbazepine (~28.7 mil Rls/consq) and Lamotrigine (~13.8 mil Rls/consq) show a steep increase. Topiramate (~23.6 mil Rls/consq) displays a less change. Opposite to other regimens, the ICER value of Vigabatrin (~17.26 mil Rls/consq) has shown an important increase.Major conclusionsAdding-on new antiepileptics to conventional regimens are cost-effective and justified considering the GDP per capita.