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Titlebook: Health Reforms in Post-Communist Eastern Europe; The Politics of Poli Tamara Popic Book 2023 The Editor(s) (if applicable) and The Author(s

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發(fā)表于 2025-3-21 16:06:04 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Health Reforms in Post-Communist Eastern Europe
副標(biāo)題The Politics of Poli
編輯Tamara Popic
視頻videohttp://file.papertrans.cn/425/424752/424752.mp4
概述Provides the first in-depth study of healthcare reforms in Eastern Europe in the aftermath of communism.Uses empirical data from over fifty interviews conducted in Slovenia, the Czech Republic, and Po
圖書(shū)封面Titlebook: Health Reforms in Post-Communist Eastern Europe; The Politics of Poli Tamara Popic Book 2023 The Editor(s) (if applicable) and The Author(s
描述This book provides the first in-depth study of healthcare reforms in post-communist Eastern Europe. Combining insights from comparative politics and public policy analysis, it examines health reforms in Slovenia, the Czech Republic, and Poland between 1989 and 2019. The book argues that the post-communist transformation of healthcare policy has entailed a process of policy learning, and that the countries‘ reform pathways were shaped by a series of initiatives aimed at applying market-oriented policy ideas in healthcare. The success of these initiatives has been influenced by three factors: policy legacies, political competition, and institutional configurations. The book offers a novel comparison of health reform in the region and policy changes more generally. It will appeal to scholars and students of public policy, health policy, and European politics..
出版日期Book 2023
關(guān)鍵詞health policy; post-Communism; Eastern European public policy; policy learning; COVID-19; privatization; n
版次1
doihttps://doi.org/10.1007/978-3-031-15497-3
isbn_softcover978-3-031-15499-7
isbn_ebook978-3-031-15497-3
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Tamara Popicunderground pipes and human cavity. Miniature-sized objects like kidney stone and industrial waste products like slags can easily be monitored using 3D endoscope. In this paper, we present a technique to track small objects in 3D endoscopic vision using feature detectors. The proposed methodology us
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Tamara Popicuted system is typically high. There exist works that handle this issue but to a limited extent. In this paper, we propose a new symmetric algorithm for mutual exclusion. The proposed approach is essentially a prioritized version of the well-known Ricart–Agrawala algorithm for mutual exclusion in di
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