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Original Article



Pharmacoeconomic Analysis of Antiepileptic Reimbursement for Neuropathic Pain in Bosnia and Herzegovina – Budget Impact Analysis of Pregabalin

Tarik Catic, Rasim Jusufovic, Vedad Tabakovic.




Abstract

Introduction: Neuropathic pain resulting from injury to the nervous system. Up to 7% to 8% of the European population is affected. A number of different treatments for neuropathic pain have been studied including antiepileptic. Pregabalin and gabapentin are often considered first-line treatments. Pregabalin provides equivalent efficacy to gabapentin, showing greater potency at much lower doses and is considered as cost-effective intervention. In Federation of Bosnia and Herzegovina (FB&H), gabapentin is fully reimbursed, while pregabalin is enlisted on list B with copayment. Aim: To develop simple budget impact (BI) model and assess BI of introducing pregabalin into full reimbursement in FB&H. Material and methods: Budget impact model was developed using Microsoft Excel 2010. Local epidemiology data and data on drug consumption from government reports in 2016 were used. Two scenarios with three-year time horizon have been developed: 1) without and 2) with pregabalin reimbursed at the same level as gabapentin. Two developed scenarios have been compared from health insurance fund (HIF) perspective. Results: In scenario 1 consider both drugs fully reimbursement and without patient switch among alternatives the total cost would be increased for 780,025 KM; 852,027 KM and 943,830 KM over a 3-year period. In scenario 2 considering both drugs fully reimbursed but with patient switch topregabalin total annual cost would be increased for 732,241 KM; 742,395 KM and 751,761 KM. Comparing scenario 1 and 2 it is found that scenario 2 is more favorable from HIF perspective. Conclusion: Implementation of pharmacoeconomic principles in reimbursement decisions in Bosnia and Herzegovina would improve access to medicines and contribute rationale resource consumption.

Key words: economics, pharmaceutical, neuralgia, health policy, decision making.






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