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. 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. 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. 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.

O presente trabalho tem foco na questão da dificuldade da mensuração de dados qualitativos vis-à-vis a necessidade crescente de obter tais dados. A mensuração de dados qualitativos é complexa e necessária quando o objetivo de pesquisa é entender opiniões e percepções dos participantes. Neste caso, existe intrinsecamente a catalogação dos dados à subjetividade – desejos, anseios, percepções, expectativas, atitudes e valores. A pesquisa é descritiva, realizada a partir do estudo da literatura disponível, se utilizando fundamentalmente das contribuições de vários autores sobre a elaboração, a utilização e as limitações da escala Likert. Como resultado, percebeu-se que a popularização dos métodos estatísticos nas avaliações de desenvolvimento de questionários e escalas mostra que pensar em termos puramente quantitativos ou qualitativos é um exercício cada vez mais teórico e menos condizente com a busca de um entendimento profundo dos fenômenos sociais; assim, a escala Likert é apresentada como imprescindível na catalogação dos dados qualitativos.

O presente trabalho objetiva propor uma releitura da análise SWOT, apresentando um modelo adequado às demandas e transformações das organizações modernas, focando em uma definição mais robusta e específica das categorias da matriz SWOT – forças fraquezas, oportunidades e ameaças. A pesquisa foi dividida em duas etapas: i) pesquisa bibliográfica e documental; e ii) pesquisa-ação com observação participante. Durante o período de 2014 a 2016 em uma empresa Britânica no ramo de Business Intelligence, pôde-se avaliar o progresso do uso e da adaptação da análise SWOT às demandas de competitividade. Baseados nas evidências documentais e empíricas, os autores propuseram uma releitura da MATRIZ SWOT em que cada uma das dimensões originais é subdividida em cinco subcategorias, oferecendo assim, uma ferramenta para dar suporte a análises mais detalhadas e robustas. As forças e fraquezas são divididas nas seguintes categorias: i) sintomáticas; ii) adormecidas; iii) constantes; iv) circunstanciais; e iv) tangíveis. As oportunidades são divididas nas seguintes categorias: i) exploradas; ii) passageiras; iii) desperdiçadas; iv) inacessíveis; e v) disfarçadas. Por fim, as ameaças apresentam as seguintes subcategorias: i) constantes; ii) passageiras; iii) adormecidas; iv) provocadas; e v) disfarçadas. Este trabalho contribui com a literatura e a prática da gestão estratégica ao oferecer uma alternativa para endereçar as dificuldades de precisão na definição das categorias da Matriz SWOT, criando subcategorias até então não levantadas na literatura para que se possa mais precisamente abarcar forças e fraquezas e melhor avaliar oportunidades e ameaças, validando assim, a continuidade do uso desta ferramenta.

Background: In Brazil, many public hospitals face constant problems related to high demand vis-à-vis an overall scarcity of resources, which hinders the operations of different sectors such as the surgical centre, as it is considered one of the most relevant pillars for the proper hospital functioning, due to its complexity, criticality as well as economic and social importance. Proper asset management based on well-founded decisions is, therefore, a sine-qua-non condition for addressing such demands. However, subjectivity and other difficulties present in decisions make the management of hospital resources a constant challenge. Methods: Thus, the present work proposes the application of a hybrid approach, formed by the QFD tools, fuzzy logic and SERVQUAL as a decision support tool for the quality planning of the surgical centre of the Onofre Lopes Teaching Hospital (Hospital Universitário Onofre Lopes—HUOL). To accomplish such objective, it was necessary to discover and analyse the main needs of the medical team working in the operating room, through the application of the SERVQUAL questionnaire, associated with fuzzy logic. Results: Then, the most relevant deficiencies were transformed into entries for the QFD-fuzzy, where they were translated into project requirements. Soon after, the analysis of the existing relationships between the inputs and these requirements was carried out, generating the ranking of actions with the greatest impact on the improvement of the surgical centre overall quality. Conclusions: As a result, it was found that the proposed methodology can optimize the decision process to which hospital managers are submitted, improving the surgical centre operation efficiency.

Maintenance of offshore wind turbines is critical for expanding wind energy production, yet it presents significant challenges due to harsh operational conditions. This issue, discussed extensively in Operations and Maintenance (O&M) periodicals, can hinder the economic viability of wind energy. With European and emerging markets planning large-scale wind energy production, optimizing installation and maintenance resources is crucial. Our research focuses on numerical techniques to inform maintenance strategies and decisions, addressing key discussion areas. Our methodology involves a systematic literature review of 122 scientific works, with descriptive and content analyses revealing insights into maintenance planning. Quantitative techniques, while studied separately, can enhance understanding of technical aspects in maintenance decision-making, provided their limitations are addressed. The research underscores the importance of considering various factors in offshore wind farm maintenance planning to align with planner objectives.

Inclusive education in Brazil is part of an educational policy from the Law of Directives and Bases of National Education (LDBN 9394/96), which determines that people with special needs must be included in regular education classrooms. Overall, educational institutions lack professionals and content that favours inclusive education. The current work focused on students with Autism Spectrum Disorder (ASD), aiming to create and validate didactic sequences with the use of augmented reality (AR) to increase class engagement whilst providing to teachers and their assistants tools for the creation of other didactic sequences regardless of the curricular component. The research was exploratory, using the procedures applied in case studies. Once the bibliographic study was carried out and the AR tools pre-selected, the authors collected data with teachers and later suggested and validated the didactic sequences carried out by the students. The research showed the potential of AR as a tool to engage and make it possible to incorporate adapted school activities in order to have a greater participation of students with ASD. It was observed that training teachers and assistants to use other digital technological resources is essential for other practices to be developed and for the inclusion process to become increasingly natural.