Научно-практический журнал Медицинские технологии. Оценка и выбор
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Issue № 3 | 2014 (17)

Abstract

This article presents a set of current methods applied in personalized medicine including those of molecular genetics, pharmacokinetics, immunological methods and population models. Attention focuses on analytical methods of therapies drug monitoring.

Keywords

personalized medicine, methods, pharmacogenomics, pharmacokinetics, therapies drug monitoring.

For citations

Miroshnichenko I.I., Ptitsina S.N., Simonov A.N. Methodology of Personalized Medicine. Medical Technologies. Assessment and Choice. 2014; 3(17): 18–24.

Issue № 3 | 2014 (17)

Abstract

Economic evaluation is an accepted method for the appraisal of health technologies. This review article aims to provide an introduction to the methodology of the health economic evaluation of a health technology. Attention is paid to defining the fundamental concepts and terms related to health technology assessment, health economics and pharmacoeconomics. The article describes the methodology underlining health outcomes and costs, pros and cons of different types of economic studies and a review of economic evaluation methods. Key references are provided for those who wish for a more advance understanding of health economic assessment.

Keywords

health economics, health technology assessment, outcomes, cost, economic evaluation methods and types of economic studies.

For citations

Djalalov S.Ch., Djalalova D.K., Hoch J.S. Introduction to Economic Evaluation of Health Technologies. Medical Technologies. Assessment and Choice. 2014; 3(17): 10–17.

Issue № 2 | 2014 (16)

Abstract

The article briefly reviews the modern view of early health technology assessment (HTA), including its role for national and private investment in the development of new technologies. This approach appears to be comparatively novel for most countries, and in the author’s opinion it should be implemented when the 2020 program for the development of medical and pharmaceutical industry is realized in Russia. One of the practical objectives of this review is to inform the experts responsible for making key decisions about the methods which can be used at early stages of the assessment of new products and technologies, as well as to explore the avenues for further methodological improvements in this emerging branch of HTA.

Keywords

health technology assessment, early health technology assessment, return on investment, investment appeal.

For citations

Omelyanovsky V.V. Early Health Technology Assessment as a Tool for Evaluating and Steering the Creation of New Medical Products. Medical Technologies. Assessment and Choice. 2014; 2(16): 23–29.

Issue № 2 | 2014 (16)

Abstract

The development of model for use in health technology assessment begins with an understanding of the clinical problem and basic concept of the research question. The goal of this paper is to introduce best practices for model conceptualization. The conceptualization process has two separate components: 1) the conceptualization of the problem and 2) the conceptualization of the model. Recommendations are made regarding the statement of the clinical problem, perspective and target population of the model, selection of comparators, time horizon, valuing outcomes, unit of representation, interaction between individuals and other model components.

Keywords

modeling, conceptualization, methods, state-transition model, discrete event simulation dynamic transition model.

For citations

Djalalov S.Ch., Djalalova D.K., Hoch J.S. Model Conceptialization in Health Technology Assessment. Medical Technologies. Assessment and Choice. 2014; 2(16): 16–22.

Issue № 1 | 2014 (15)

Abstract

This paper discusses the key elements of decision modeling for the economic evaluation of health interventions. The main stages of building a decision tree are considered. An example of the expected value calculation for treating patients with Non-Small Cell Lung Cancer along with sensitivity analysis to test for the robustness of the correct decision are shown. A review of recommendations for building decision trees is also conducted.

Keywords

decision analysis, decision tree, chance nodes, expected value, probability, outcomes, sensitivity analysis.

For citations

Djalalov S.Ch., Djalalova D.K., Hoch J.S. Clinical Decision Making: Principles of Building a Decision Tree. Medical Technologies. Assessment and Choice. 2014; 1(15): 29–36.

Issue № 1 | 2014 (15)

Abstract

In 1998 our review «Application of statistical methods in cardiology (based on publications in «Cardiology» journal in 1993–1995)» has been published in the journal «Cardiology». Low level of statistics use and the description was ascertained. In this review we present results of the analysis of 150 articles published in another cardiology journal «The pathology of blood circulation and cardiosurgery» during 1997–2013. Also some publications from other medical journals are analysed. Examples of excellent and good statistical methods description and use are given. However incorrect description of statistical methods was found in most articles. Economic aspects of statistical methods improvement are considered in the specialsection of the article («Data + Statistics = Knowledge + Economy»). The measures aimed at the improvement of the statistical analysis in cardiology are proposed. Better quality and efficiency of the collected data implementation is the goal for such measures.

Keywords

cardiology, biometrics, biostatistics, editorial requirements, medical economy, quality of medical technologies.

For citations

Leonov V.P. Statistics in Cardiology. 15 Years Later. Medical Technologies. Assessment and Choice. 2014; 1(15): 17–28.

Issue № 1 | 2014 (15)

Abstract

This is a brief review of the current status of the problem of ensuring the quality of statistical analysis in medical studies and presenting their results. Peer reviewing of the statistical analysis is almost completely absent in scientific medical journals in Russia. This article contains references to documents and other sources of recommendations for authors, reviewers, and editors of scientific journals.

Keywords

statistical analysis, mistakes, recommendations, SAMPL.

For citations

Rebrova O.Yu. Once Again, on the Quality of Statistical Analysis in Medical Publications: Current Status of the Problem, Recommendations, Peer Reviewing. Medical Technologies. Assessment and Choice. 2014; 1(15): 8–10.