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Nursing diagnoses focused on universal self-care requisites

2021Journal article Open access
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dc.contributor.authorQueirós, Carmen
dc.contributor.authorSilva, Maria Antónia
dc.contributor.authorCruz, Inês
dc.contributor.authorCardoso, Alexandrina
dc.contributor.authorMorais, Ernesto
dc.date.accessioned2021-10-08T13:30:11Z
dc.date.available2021-10-08T13:30:11Z
dc.date.issued2021
dc.description.abstractAims: (1) To identify and analyse diagnoses documented by nurses in Portugal within the scope of universal self-care requisites; (2) to determine the main problems with nursing diagnoses syntaxes for semantic interoperability purposes; and (3) to suggest unified nursing diagnoses syntaxes within the scope of universal self-care requisites. Background/Introduction: Ageing societies and the increase in chronic diseases have led to significant concern regarding individuals’ dependence to ensure self-care. ICNP is widely used by Portuguese nurses in electronic health records for documentation of nursing diagnoses and interventions. Methods: A qualitative study using inductive content analysis and focus group: 1. nursing e-documentation content analysis and 2. focus group to explore implicit criteria or insights from content analysis results. Results: From a corpus of analysis with 1793 nursing diagnoses, 432 nursing diagnoses centred on universal self-care requisites emerged from the content analysis. One hundred ten nursing diagnoses resulted from the application of new encoding criteria that emerged after a focus group meeting. Conclusion: Results reveal that nursing diagnoses related to universal self-care requisites can emphasize the impairment or potentialities of the individuals performing self-care. It also shows a lack of consensus on nominating the nursing diagnoses of people with a deficit in universal self-care requisites, resulting in different diagnoses to express the same needs. Implications for nursing practice: Representation of most relevant nursing diagnoses within the scope of universal self-care requisites. Implications for health policy: Incorporating standardized language into electronic health records is not enough for improving quality and continuity of care and semantic interoperability achievement. Electronic health records need to work with a nursing ontology in the backend to meet these requirements.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationInternational Nursing Review.Vol.68, (3) 2021pt_PT
dc.identifier.doi10.1111/inr.12654pt_PT
dc.identifier.issn1466-7657
dc.identifier.urihttp://hdl.handle.net/10400.26/37666
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherInternational Council of Nurses (ICN)pt_PT
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/epdf/10.1111/inr.12654pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectActivities of Daily Livingpt_PT
dc.subjectElectronic Health Recordspt_PT
dc.subjectFocus Groups, Modelspt_PT
dc.subjectNursing Diagnosespt_PT
dc.titleNursing diagnoses focused on universal self-care requisitespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage13pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleInternational Nursing Reviewpt_PT
oaire.citation.volume68pt_PT
person.familyNameSilva
person.familyNameCruz
person.familyNameCardoso
person.familyNameMorais
person.givenNameMaria Antónia
person.givenNameInês Maria
person.givenNameAlexandrina
person.givenNameErnesto
person.identifierhttps://scholar.google.com/citations?user=pGaSCgQAAAAJ&hl=pt-PT&oi=ao
person.identifier.ciencia-id7C1A-75A9-5B03
person.identifier.ciencia-id3D1C-DF93-29DC
person.identifier.ciencia-idBB10-6E01-0555
person.identifier.ciencia-id1C14-5545-8346
person.identifier.orcid0000-0003-3721-8540
person.identifier.orcid0000-0003-3221-0806
person.identifier.orcid0000-0002-9351-6684
person.identifier.orcid0000-0002-7232-9927
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication48b367ee-8f56-41f7-819b-cb6e28ba4735
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relation.isAuthorOfPublication.latestForDiscovery1e0cf14a-8e33-4c86-a812-af403e06c35c

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