dc.contributor.author | Abrantes, Joana A.T. | |
dc.contributor.author | Ferreira, Fernando A.F. | |
dc.contributor.author | Zopounidis, Constantin | |
dc.contributor.author | Pereira, Leandro F. | |
dc.contributor.author | Meidutė-Kavaliauskienė, Ieva | |
dc.date.accessioned | 2023-09-18T20:34:24Z | |
dc.date.available | 2023-09-18T20:34:24Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 1057-9214 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/150969 | |
dc.description.abstract | This 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.format | PDF | |
dc.format.extent | p. 67-79 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Emerging Sources Citation Index (Web of Science) | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | ProQuest Central | |
dc.relation.isreferencedby | INSPEC | |
dc.relation.isreferencedby | Zentralblatt MATH (zbMATH) | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://onlinelibrary.wiley.com/doi/10.1002/mcda.1729 | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:74079138/datastreams/MAIN/content | |
dc.subject | N900 - Verslas ir vadyba / Business and administrative studies | |
dc.title | Analyzing ethical practices in the public healthcare sector using fuzzy cognitive mapping | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 78 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | University Institute of Lisbon | |
dc.contributor.institution | University Institute of Lisbon University of Memphis, Tennessee | |
dc.contributor.institution | Technical University of Crete Institute of Finance, Nantes | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas University Instituteof Lisbon | |
dc.contributor.faculty | Verslo vadybos fakultetas / Faculty of Business Management | |
dc.subject.researchfield | S 003 - Vadyba / Management | |
dc.subject.vgtuprioritizedfields | EV03 - Dinamiškoji vadyba / Dynamic Management | |
dc.subject.ltspecializations | L103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society | |
dc.subject.en | decision support system | |
dc.subject.en | ethical practice | |
dc.subject.en | fuzzy cognitive mapping | |
dc.subject.en | healthcare sector | |
dc.subject.en | public healthcare system | |
dcterms.sourcetitle | Journal of multi-criteriadecision analysis: Special issue: Multiple criteria decision making in health and medicine | |
dc.description.issue | iss. 1-2 | |
dc.description.volume | vol. 29 | |
dc.publisher.name | John Wiley & Sons | |
dc.publisher.city | Hoboken, New Jersey | |
dc.identifier.doi | 000594433500001 | |
dc.identifier.doi | 10.1002/mcda.1729 | |
dc.identifier.elaba | 74079138 | |