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Knowledge and use of evidence-based practice in psychology in the clinical practice of brazilian psychologists: a cross-sectional study

dc.contributor.authorMelnik, Tamara
dc.contributor.authorSinval, Jorge
dc.contributor.authorPinho, Vanessa Dordron de
dc.contributor.authorJunior, José Antônio Spencer Hartmann
dc.contributor.authorOliveira, Margareth da Silva
dc.contributor.authorLopes, Fernanda Machado
dc.date.accessioned2025-02-18T15:29:55Z
dc.date.available2025-02-18T15:29:55Z
dc.date.issued2025
dc.description© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).pt_PT
dc.description.abstractBackground/Objectives: The use of scientific evidence for the diagnosis and treatment of mental disorders is crucial for achieving optimal clinical outcomes and providing high-quality care. This study investigates the knowledge, sources of evidence, and attitudes of Brazilian clinical psychologists regarding evidence-based practice in psychology (EBPP) and discusses barriers to its implementation. Methods: A total of 696 Brazilian clinical psychologists participated in an online questionnaire designed to assess their understanding of EBPP, their familiarity with scientific platforms/databases, and their professional development investments. Latent class analysis (LCA) was conducted, which can be used to identify subgroups of psychologists with similar patterns of professional and training characteristics. Results: The results indicate that while psychologists recognized the importance of EBPP for effective patient care, there was a significant gap in understanding its fundamental principles and concepts. Many participants reported the limited use of scientific databases, missing opportunities to access the latest research advancements. A lower percentage of psychologists consistently implemented EBPP in their clinical practice, highlighting a gap between knowledge and application. Four latent classes emerged from the LCA: I—experienced/established professional psychologist; II—academic psychologist; III—supervised traditional psychologist; and IV—young professional psychologist. Conclusions: This study emphasizes the need for better integration of EBPP into psychology curricula and continuing education programs. Enhancing clinical psychologists’ understanding and proficiency in EBPP can promote evidence-based decision-making and improve the quality of mental health care in Brazil. Efforts should be made to familiarize psychologists with reliable scientific databases, equip them with skills to critically appraise research, and foster a culture of lifelong learning and professional development. Additionally, it is essential to develop strategies tailored to the distinct profiles of professionals identified in this study, considering their training sources, reference usage, and knowledge of EBPP.pt_PT
dc.description.sponsorshipThis work was produced with the support of INCD, and it was funded by FCT I.P. under the project Advanced Computing Project CPCA/A1/435377/2021, platform Cirrus (DOI: 10.54499/CPCA/A1/435377/2021).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationHealthcare 2025, 13(4), 431pt_PT
dc.identifier.doi10.3390/healthcare13040431pt_PT
dc.identifier.eissn2227-9032
dc.identifier.urihttp://hdl.handle.net/10400.5/98528
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationBayesian Structural Equation Modeling: GPU processing, is it worth it?
dc.relation.publisherversionhttps://www.mdpi.com/journal/healthcarept_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEvidence-based psychologypt_PT
dc.subjectEvidence-based practice in psychologypt_PT
dc.subjectClinical practicept_PT
dc.subjectClinical psychologypt_PT
dc.subjectBrazilpt_PT
dc.titleKnowledge and use of evidence-based practice in psychology in the clinical practice of brazilian psychologists: a cross-sectional studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleBayesian Structural Equation Modeling: GPU processing, is it worth it?
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/FCT_CPCA_2021_01/CPCA%2FA1%2F435377%2F2021/PT
oaire.citation.issue4pt_PT
oaire.citation.startPage431pt_PT
oaire.citation.titleHealthcarept_PT
oaire.citation.volume13pt_PT
oaire.fundingStreamFCT_CPCA_2021_01
person.familyNamePereira Sinval
person.givenNameJorge Fernando
person.identifierK-4431-2013
person.identifier.ciencia-idFE1D-5D0A-AC8B
person.identifier.orcid0000-0002-2855-1360
person.identifier.scopus-author-id57200328070
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication707144b0-47f1-42e2-b7c0-72a493ebfb19
relation.isAuthorOfPublication.latestForDiscovery707144b0-47f1-42e2-b7c0-72a493ebfb19
relation.isProjectOfPublicationab18c539-e500-4274-8545-056ceceed87c
relation.isProjectOfPublication.latestForDiscoveryab18c539-e500-4274-8545-056ceceed87c

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