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  • 标题:Multi-criteria decision analysis as a tool for evaluation of unmet needs in health care
  • 本地全文:下载
  • 作者:Diana Araja
  • 期刊名称:SHS Web of Conferences
  • 印刷版ISSN:2416-5182
  • 电子版ISSN:2261-2424
  • 出版年度:2018
  • 卷号:51
  • 页码:1-10
  • DOI:10.1051/shsconf/20185102001
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The United Nations Sustainable Development Goals appoint that all Member States have agreed to try to achieve Universal Health Coverage by 2030. This includes financial risk protection, access to quality essential health-care services and access to safe, effective, quality and affordable essential medicines for all. The World Health Organisation has defined the Universal Health Coverage as a priority, which means that all people can use the preventive, curative, rehabilitative and palliative health care services they need, of sufficient quality to be effective, while also ensuring that the use of these services does not expose the user to financial hardship. The classic approach of the unmet medical needs is defined as the total self-reported unmet needs for medical care for the following three reasons: financial barriers, waiting times, too far to travel. According to the Eurostat data, overall range of unmet medical needs in Latvia is the highest of the European Union countries, however, the accessibility of health services depends on a multitude of factors that relate to the health system and also to the patients themselves. Therefore the Multicriteria decision analysis approach could be acceptable for assessment of the unmet medical needs. The data on unmet medical needs for Latvia should be additionally evaluated, taking into account the “therapeutic need”, which refers to the need for a better treatment than the treatment currently reimbursed, from the perspective of the patient. Apart from therapeutic need, the concept of societal need should be investigated, which refers to the need for a better treatment than the currently available treatment for societal reasons.
  • 关键词:health care;unmet needs;multi-criteria decision analysis
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