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Content analysis of nursing diagnoses in mental health records in Portugal

dc.contributor.authorGonçalves, P.D.B.
dc.contributor.authorSequeira, Carlos
dc.contributor.authorSilva, M.A.T.C.P.
dc.date.accessioned2020-06-01T16:38:41Z
dc.date.available2020-06-01T16:38:41Z
dc.date.issued2018
dc.description.abstractAims: To identify the diagnoses documented by nurses in Portugal to describe the nursing needs within the scope of mental health nursing and the main problems in documenting these needs. Background/Introduction: The diagnosis process is an essential step in nursing care planning. This process should be carried out by nurses in a rigorous and standardized manner, in order to ensure quality practices and to obtain indicators that can increase the visibility of nursing care. A descriptive study combining: 1. quantitative content analysis of nursing diagnosis records written by nurses working in 39 psychiatry departments of the Portuguese National Health Service, and 2. An focus group meeting with 14 nurses exploring the results of first study phase. Qualitative and quantitative data were analysed by content analysis. Findings: The 2014 initial diagnosis records were systematized into 78 final diagnostic categories, which may represent the most relevant diagnoses in the field of mental health nursing in Portugal. The main problems found in the diagnostic identification by nurses included lack of a standardized language; confusion between nursing diagnoses and focus areas and identification of incongruent clinical judgements. Discussion/Conclusion: The changes observed in the fields of behaviour, emotions and psychological process correspond to the largest concentration of nursing diagnoses and challenges in Portugal. This study revealed the lack of standardized language used by nurses in defining diagnoses. The problems identified in the diagnoses documentation suggest that more training in this area is needed. Nursing Implications: This study provides information on the most relevant diagnoses in the area of mental health nursing in Portugal and may offer an important contribution towards improving nursing informatics systems and care to patients by means of standardization of language used in diagnosis definitions. Implication for Nursing Policies: The standardization of language used by mental health nurses may contribute towards producing health indicators that provides evidence to policymakers about the contribution made by nursing care towards improved population health.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGONÇALVES P.D.B., SEQUEIRA C.A.C. & E SILVA M.A.T.C.P. (2018) Content analysis of nursing diagnoses in mental health records in Portugal. International Nursing Review 00, 1–10pt_PT
dc.identifier.doi10.1111/inr.12493pt_PT
dc.identifier.eissn1466-7657
dc.identifier.urihttp://hdl.handle.net/10400.26/32463
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/abs/10.1111/inr.12493pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectClinical Competencept_PT
dc.subjectHumanspt_PT
dc.subjectNurse's Rolept_PT
dc.subjectNursing Diagnosispt_PT
dc.subjectNursing Evaluation Researchpt_PT
dc.subjectNursing Recordspt_PT
dc.subjectNursing Staff, Hospitalpt_PT
dc.subjectPatient Care Planningpt_PT
dc.subjectPortugalpt_PT
dc.subjectPsychiatric Nursingpt_PT
dc.subjectWorkloadpt_PT
dc.titleContent analysis of nursing diagnoses in mental health records in Portugalpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage208pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage199pt_PT
oaire.citation.titleInternational Nursing Reviewpt_PT
oaire.citation.volume66pt_PT
person.familyNameCruz Sequeira
person.givenNameCarlos Alberto
person.identifierK-5026-2013
person.identifier.ciencia-idEC12-73D4-420B
person.identifier.orcid0000-0002-5620-3478
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication4d61476c-ecb9-4418-9755-b1ad9f946863
relation.isAuthorOfPublication.latestForDiscovery4d61476c-ecb9-4418-9755-b1ad9f946863

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