Inferences on countries through MCDM over pharmaceutical consumption

Kitap BölümüAçık Erişim
  • SDG 3 · Sağlık ve Kaliteli Yaşam

Özet

This chapter aims to obtain various inferences about the health systems of countries by using multi-criteria decision making (MCDM) methods on drug consumption data. Pharmaceutical consumption is seen as a useful resource for assessing the performance of health systems. This chapter aims to comprehensively analyse the health systems of countries by combining CoCoSo and TOPSIS-Sort-B methods. Pharmaceutical consumption will be used to assess the performance of countries' health systems for each group within the framework of anatomical therapeutic chemical (ATC) classification. For each ATC class, countries will be ranked by CoCoSo method and classified as good-medium-poor by TOPSIS-S ort-B method. The findings have the potential to be a valuable resource for health systems managers, policy makers, health economists, researchers, and other relevant stakeholders. It will also serve as a practical guide for researchers who want to apply MCDM in the field of health.

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AlanDeğerDil
dc.contributor.authorMeydan, Bilge
dc.contributor.authorŞimşek, Ahmet Bahadir
dc.date.accessioned2026-10-22T10:22:27.380362820Z
dc.date.available2026-10-22T10:22:27.380362820Z
dc.date.issued2024
dc.description.abstractThis chapter aims to obtain various inferences about the health systems of countries by using multi-criteria decision making (MCDM) methods on drug consumption data. Pharmaceutical consumption is seen as a useful resource for assessing the performance of health systems. This chapter aims to comprehensively analyse the health systems of countries by combining CoCoSo and TOPSIS-Sort-B methods. Pharmaceutical consumption will be used to assess the performance of countries' health systems for each group within the framework of anatomical therapeutic chemical (ATC) classification. For each ATC class, countries will be ranked by CoCoSo method and classified as good-medium-poor by TOPSIS-S ort-B method. The findings have the potential to be a valuable resource for health systems managers, policy makers, health economists, researchers, and other relevant stakeholders. It will also serve as a practical guide for researchers who want to apply MCDM in the field of health.
dc.identifier.doi10.4018/979-8-3693-6502-1.ch002
dc.identifier.endpage64
dc.identifier.isbn979-836936504-5
dc.identifier.isbn979-836936502-1
dc.identifier.scopus2-s2.0-105002628187
dc.identifier.startpage33
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/14252
dc.language.isoen
dc.publisherIGI Global
dc.relation.ispartofRecent Theories and Applications for Multi-Criteria Decision-Making
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleInferences on countries through MCDM over pharmaceutical consumption
dc.typeBook Chapter
dspace.entity.typePublication
rdl.citation.openalex0
rdl.citation.scopus0
rdl.oa.statusgreen
rdl.oa.urlhttps://hdl.handle.net/20.500.12440/6528
rdl.sdgSDG03
rdl.source.indexSCOPUS