Pharmacoeconomic evaluation of providing pharmacist-managed anticoagulation service to patients on warfarin

Stojković, Tatjana; Marinković, Valentina; Lakic, Dragana; Bogavac-Stanojević, Nataša

doi:10.5937/arhfarm1602103s

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…The application of decision trees in clinical practice in Serbia has been recognized in different areas, including screening procedures (12), pharmacotherapy of infectious diseases (13,14), labour for singleton pregnancy (15) and pharmacist service (16).…”

Section: Decision Treesmentioning

confidence: 99%

Modelling in economic evaluations of medicines

Lakic¹,

Stević²,

Odalović³

et al. 2021

Arhiv za farmaciju

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Economic evaluation in health (also known as pharmacoeconomic in case of medicines) identifies, measures, and values costs and outcomes of alternative healthcare technologies, and can be performed alongside controlled clinical trials, but analytical modelling is usually used. Decision trees and Markov models are the two most common approaches used in economic evaluation. The biggest advantages of a decision tree are clarity, simplicity, and straightforwardness. On the other hand, the main advantage of the Markov model is its ability to incorporate complex events into the simulation, which is practically impossible to do with a decision tree. Reimbursement policy in Serbia mandatorily incorporates economic evaluations to promote availability and accessibility of the prescription medicines. To show current pharmacoeconomic value of a medicine, budget impact analysis and the cost-effectiveness analysis should be included. The latter should be conducted using appropriate modelling techniques. However, since no official methodological guidelines about the modelling and economic analysis exist, the submissions by marketing authorization holders vary greatly. The future of pharmacoeconomic modelling depends on the research area of interest, with new frameworks and approaches being developed.

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Section: Decision Treesmentioning

confidence: 99%