Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/33262 |
Resumo: | Background: The health area is one of the most affected systems on the perspective of decision-making with multiobjectives, thus becoming prone to errors in the final solution, however, multicriteria decision analysis (MDCA) appears as an aid tool for this process decision-making. Therefore,the present study aims to analyze and synthesize articles found in the literature, involing MCDA in health care, evaluating general issues and methodological aspects, structuring them in a single work. Methods: Surveys in the bibliographic databases SCOPUS and PUBMED indicated 1852 documents on the subject, however after a careful verificatios, 66 studies were selected to be analyzed completely. The data extracted from the included articles were organized into a spreadsheet for the preparation of analysis, and the technique used was descriptive statistics. Results: It was possible to identify a growth trend in the application of the MCDA in the health area, but no dominance was identified in relation to the authors of the publication and the periodicals where they are published, but some countries stood out in terms of the number of published researches, such as: Canada and Turkey. In defining the decision problem, and in defining criteria, the “literature” presented the greatest demand for those who wish to structure their decision problem. Finally, it was verified by the analysis of the problem, that the MCDA to solve the problems of ranking has comprehensive application and that there is a greater incidence in the use of the AHP and Logic methods Fuzzy. Conclusion: With this, it is possible to observe, through the data of this review, that more than the multicriteria methods, the multicriteria decision model has been highlighted, also in the health area. In addition, the study can guide new applications and techniques using MCDA in the health care |
id |
UFRN_ba1ed4db08e0969a2f178d3d8041c2bc |
---|---|
oai_identifier_str |
oai:https://repositorio.ufrn.br:123456789/33262 |
network_acronym_str |
UFRN |
network_name_str |
Repositório Institucional da UFRN |
repository_id_str |
|
spelling |
Frazão, Talita Dias ChagasCamilo, Deyse Gillyane GomesCabral, Eric Lucas dos SantosSouza, Ricardo Pires de2021-09-01T13:02:25Z2021-09-01T13:02:25Z2018-11-01FRAZÃO, TALITA D. C.; CAMILO, DEYSE G. G.; CABRAL, ERIC L. S.; SOUZA, RICARDO P.. Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps. BMC Medical Informatics and Decision Making, v. 18, p. 90, 2018. Disponível em: https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-018-0663-1. Acesso em 18 mai. 2021. https://doi.org/10.1186/s12911-018-0663-11472-6947https://repositorio.ufrn.br/handle/123456789/3326210.1186/s12911-018-0663-1BMC Medical Informatics and Decision MakingAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessMulticriteria decision analysisHealth careSystematic reviewMethodological aspectsMulticriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological stepsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBackground: The health area is one of the most affected systems on the perspective of decision-making with multiobjectives, thus becoming prone to errors in the final solution, however, multicriteria decision analysis (MDCA) appears as an aid tool for this process decision-making. Therefore,the present study aims to analyze and synthesize articles found in the literature, involing MCDA in health care, evaluating general issues and methodological aspects, structuring them in a single work. Methods: Surveys in the bibliographic databases SCOPUS and PUBMED indicated 1852 documents on the subject, however after a careful verificatios, 66 studies were selected to be analyzed completely. The data extracted from the included articles were organized into a spreadsheet for the preparation of analysis, and the technique used was descriptive statistics. Results: It was possible to identify a growth trend in the application of the MCDA in the health area, but no dominance was identified in relation to the authors of the publication and the periodicals where they are published, but some countries stood out in terms of the number of published researches, such as: Canada and Turkey. In defining the decision problem, and in defining criteria, the “literature” presented the greatest demand for those who wish to structure their decision problem. Finally, it was verified by the analysis of the problem, that the MCDA to solve the problems of ranking has comprehensive application and that there is a greater incidence in the use of the AHP and Logic methods Fuzzy. Conclusion: With this, it is possible to observe, through the data of this review, that more than the multicriteria methods, the multicriteria decision model has been highlighted, also in the health area. In addition, the study can guide new applications and techniques using MCDA in the health careengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALMulticriteriaDecisionAnalysis_Souza_2018.pdfMulticriteriaDecisionAnalysis_Souza_2018.pdfapplication/pdf984521https://repositorio.ufrn.br/bitstream/123456789/33262/1/MulticriteriaDecisionAnalysis_Souza_2018.pdff75500b288a40226481dd22d6eedb2ccMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/33262/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/33262/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53123456789/332622021-09-01 10:02:26.763oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2021-09-01T13:02:26Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps |
title |
Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps |
spellingShingle |
Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps Frazão, Talita Dias Chagas Multicriteria decision analysis Health care Systematic review Methodological aspects |
title_short |
Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps |
title_full |
Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps |
title_fullStr |
Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps |
title_full_unstemmed |
Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps |
title_sort |
Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps |
author |
Frazão, Talita Dias Chagas |
author_facet |
Frazão, Talita Dias Chagas Camilo, Deyse Gillyane Gomes Cabral, Eric Lucas dos Santos Souza, Ricardo Pires de |
author_role |
author |
author2 |
Camilo, Deyse Gillyane Gomes Cabral, Eric Lucas dos Santos Souza, Ricardo Pires de |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Frazão, Talita Dias Chagas Camilo, Deyse Gillyane Gomes Cabral, Eric Lucas dos Santos Souza, Ricardo Pires de |
dc.subject.por.fl_str_mv |
Multicriteria decision analysis Health care Systematic review Methodological aspects |
topic |
Multicriteria decision analysis Health care Systematic review Methodological aspects |
description |
Background: The health area is one of the most affected systems on the perspective of decision-making with multiobjectives, thus becoming prone to errors in the final solution, however, multicriteria decision analysis (MDCA) appears as an aid tool for this process decision-making. Therefore,the present study aims to analyze and synthesize articles found in the literature, involing MCDA in health care, evaluating general issues and methodological aspects, structuring them in a single work. Methods: Surveys in the bibliographic databases SCOPUS and PUBMED indicated 1852 documents on the subject, however after a careful verificatios, 66 studies were selected to be analyzed completely. The data extracted from the included articles were organized into a spreadsheet for the preparation of analysis, and the technique used was descriptive statistics. Results: It was possible to identify a growth trend in the application of the MCDA in the health area, but no dominance was identified in relation to the authors of the publication and the periodicals where they are published, but some countries stood out in terms of the number of published researches, such as: Canada and Turkey. In defining the decision problem, and in defining criteria, the “literature” presented the greatest demand for those who wish to structure their decision problem. Finally, it was verified by the analysis of the problem, that the MCDA to solve the problems of ranking has comprehensive application and that there is a greater incidence in the use of the AHP and Logic methods Fuzzy. Conclusion: With this, it is possible to observe, through the data of this review, that more than the multicriteria methods, the multicriteria decision model has been highlighted, also in the health area. In addition, the study can guide new applications and techniques using MCDA in the health care |
publishDate |
2018 |
dc.date.issued.fl_str_mv |
2018-11-01 |
dc.date.accessioned.fl_str_mv |
2021-09-01T13:02:25Z |
dc.date.available.fl_str_mv |
2021-09-01T13:02:25Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
FRAZÃO, TALITA D. C.; CAMILO, DEYSE G. G.; CABRAL, ERIC L. S.; SOUZA, RICARDO P.. Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps. BMC Medical Informatics and Decision Making, v. 18, p. 90, 2018. Disponível em: https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-018-0663-1. Acesso em 18 mai. 2021. https://doi.org/10.1186/s12911-018-0663-1 |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/33262 |
dc.identifier.issn.none.fl_str_mv |
1472-6947 |
dc.identifier.doi.none.fl_str_mv |
10.1186/s12911-018-0663-1 |
identifier_str_mv |
FRAZÃO, TALITA D. C.; CAMILO, DEYSE G. G.; CABRAL, ERIC L. S.; SOUZA, RICARDO P.. Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps. BMC Medical Informatics and Decision Making, v. 18, p. 90, 2018. Disponível em: https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-018-0663-1. Acesso em 18 mai. 2021. https://doi.org/10.1186/s12911-018-0663-1 1472-6947 10.1186/s12911-018-0663-1 |
url |
https://repositorio.ufrn.br/handle/123456789/33262 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
BMC Medical Informatics and Decision Making |
publisher.none.fl_str_mv |
BMC Medical Informatics and Decision Making |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRN instname:Universidade Federal do Rio Grande do Norte (UFRN) instacron:UFRN |
instname_str |
Universidade Federal do Rio Grande do Norte (UFRN) |
instacron_str |
UFRN |
institution |
UFRN |
reponame_str |
Repositório Institucional da UFRN |
collection |
Repositório Institucional da UFRN |
bitstream.url.fl_str_mv |
https://repositorio.ufrn.br/bitstream/123456789/33262/1/MulticriteriaDecisionAnalysis_Souza_2018.pdf https://repositorio.ufrn.br/bitstream/123456789/33262/2/license_rdf https://repositorio.ufrn.br/bitstream/123456789/33262/3/license.txt |
bitstream.checksum.fl_str_mv |
f75500b288a40226481dd22d6eedb2cc 4d2950bda3d176f570a9f8b328dfbbef e9597aa2854d128fd968be5edc8a28d9 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN) |
repository.mail.fl_str_mv |
|
_version_ |
1802117653170487296 |