SHS Web Conf.
Volume 51, 20186th International Interdisciplinary Scientific Conference SOCIETY. HEALTH. WELFARE (Part II)
|Number of page(s)||10|
|Published online||07 November 2018|
Multi-criteria decision analysis as a tool for evaluation of unmet needs in health care
Rıga Stradiņš University, Latvia
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 Multi-criteria 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.
© The Authors, published by EDP Sciences 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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