This work is published under the responsibility of the Secretary-General of the OECD. The opinions expressed and arguments employed herein do not necessarily reflect the official views of OECD member countries.This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area. ISBN 978-92-64-25253-0 (print) ISBN 978-92-64-25254-7 (PDF) ISBN 978-92-64-25331-5 (epub) Series: OECD Reviews of School Resources ISSN 2413-4333 (print) ISSN 2413-3841 (online) The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of international law.Photo credits: Cover © VLADGRIN/Shutterstock.com.Corrigenda to OECD publications may be found on line at: www.oecd.org/about/publishing/corrigenda.htm. © OECD 2016You can copy, download or print OECD content for your own use, and you can include excerpts from OECD publications, databases and multimedia products in your own documents, presentations, blogs, websites and teaching materials, provided that suitable acknowledgement of OECD as source and copyright owner is given. All requests for public or commercial use and translation rights should be submitted to rights@oecd.org. Requests for permission to photocopy portions of this material for public or commercial use shall be addressed directly to the Copyright Clearance Center (CCC) at info@copyright.com or the Centre français d'exploitation du droit de copie (CFC) at contact@cfcopies.com. Shewbridge, C. et al. (2016) Please cite this publication as: Lithuania was one of the education systems which opted to participate in the country review strand and host a visit by an external review team. Members of the OECD review team were Claire Shewbridge (OECD Secretariat), co-ordinator of the review; Katrina Godfrey (Department of Education in Northern Ireland); Deborah Nusche (OECD Secretariat); and Zoltán Hermann (Hungarian Academy of Sciences). The biographies of the members of the OECD review team are provided in Annex C. This publication is the report from the OECD review team. It provides, from an international perspective, an independent analysis of major issues facing the use of school resources in Lithuania, current policy initiatives, and possible future approaches. The report serves three purposes: i) to provide insights and advice to the Lithuanian education authorities; ii) to help OECD countries understand the Lithuanian approach to the use of school resources; and iii) to provide input for the final comparative analysis of the OECD School Resources Review. The scope for the analysis in this report includes early childhood education and school education. At the request of the Lithuanian authorities, the focus areas of the Review of School Resources in...
Background In the Central and Eastern European region, the British EQ-5D-3L value set is used commonly in quality of life (QoL) studies. Only Poland and Slovenia have country-specific weights. Our study aimed to investigate the impact of value set choice on the evaluation of 18 chronic conditions in Hungary. Methods Patients’ EQ-5D-3L index scores were calculated using the VAS-based Slovenian and European and the time-trade-off-based Polish and British value sets. We performed pairwise comparisons of mean index values by dimensions, diagnoses and age groups. We evaluated disease burden by comparing index values matched by age and gender in each condition with those of the general population of the CEE region in all four value sets. Results Altogether, 2421 patients (55% female) were included in our sample with the average age of 55.87 years (SD = 17.75). The average Slovenian, European, Polish and British EQ-5D-3L scores were 0.598 (SD = 0.279), 0.661 (SD = 0.257), 0.770 (SD = 0.261) and 0.644 (SD = 0.279), respectively. We found highly significant differences in most diagnoses, with the greatest difference between the Polish and Slovenian index values in Parkinson’s disease (0.265). Systematic pairwise comparison across all conditions and value sets revealed greatest differences between the time-trade-off (TTO) and VAS-based value sets as well as varying sensitivity of the disease burden evaluations of chronic disease conditions to the choice of value sets. Conclusions Our results suggest that the choice of value set largely influences the health state utility results in chronic diseases, and might have a significant impact on health policy decisions.
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