Rodyti trumpą aprašą

dc.contributor.authorAbrantes, Joana A.T.
dc.contributor.authorFerreira, Fernando A.F.
dc.contributor.authorZopounidis, Constantin
dc.contributor.authorPereira, Leandro F.
dc.contributor.authorMeidutė-Kavaliauskienė, Ieva
dc.date.accessioned2023-09-18T20:34:24Z
dc.date.available2023-09-18T20:34:24Z
dc.date.issued2022
dc.identifier.issn1057-9214
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/150969
dc.description.abstractThis study focused on some of the most important aspects of ethics in the healthcare industry and examined the relevance of the system created to evaluate ethical healthcare practices in the public sector. The research included developing a conceptual model representing variables that influence ethics in public healthcare services in Portugal, using fuzzy cognitive mapping to facilitate the identification of the most significant variables. This method is a well-established decision problem-structuring tool that allows experts to define cause-and-effect relationships between variables and make decisions. The insights obtained were generated in face-to-face group meetings with experts in the public healthcare sector, showing that professional profiles, management, team relationships, external factors, equity principles, and respect are among the most relevant determinants of ethical healthcare. That is, these criteria are the most commonly applied standards in analyses of ethical practices in public healthcare services. The resulting assessment framework and its applicability were validated by both the panel of experts and the chairperson of the board of directors of S. Francisco Xavier Hospital in Lisbon, Portugal. The advantages and limitations of the analysis developed in this study are also discussed.eng
dc.formatPDF
dc.format.extentp. 67-79
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyEmerging Sources Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyProQuest Central
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyZentralblatt MATH (zbMATH)
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://onlinelibrary.wiley.com/doi/10.1002/mcda.1729
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:74079138/datastreams/MAIN/content
dc.subjectN900 - Verslas ir vadyba / Business and administrative studies
dc.titleAnalyzing ethical practices in the public healthcare sector using fuzzy cognitive mapping
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references78
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionUniversity Institute of Lisbon
dc.contributor.institutionUniversity Institute of Lisbon University of Memphis, Tennessee
dc.contributor.institutionTechnical University of Crete Institute of Finance, Nantes
dc.contributor.institutionVilniaus Gedimino technikos universitetas University Instituteof Lisbon
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.vgtuprioritizedfieldsEV03 - Dinamiškoji vadyba / Dynamic Management
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.endecision support system
dc.subject.enethical practice
dc.subject.enfuzzy cognitive mapping
dc.subject.enhealthcare sector
dc.subject.enpublic healthcare system
dcterms.sourcetitleJournal of multi-criteriadecision analysis: Special issue: Multiple criteria decision making in health and medicine
dc.description.issueiss. 1-2
dc.description.volumevol. 29
dc.publisher.nameJohn Wiley & Sons
dc.publisher.cityHoboken, New Jersey
dc.identifier.doi000594433500001
dc.identifier.doi10.1002/mcda.1729
dc.identifier.elaba74079138


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