Development of a clinical data model addressing the nursing focus “anxiety”: a consensus development study

Detalhes bibliográficos
Autor(a) principal: Sampaio, Francisco
Data de Publicação: 2022
Outros Autores: Gonçalves, Patrícia, P., Vieira-Marques, Sequeira, Carlos, Lluch-Canut, Teresa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10284/10902
Resumo: Anxiety disorders are among the most prevalent mental disorders worldwide. However, anxiety is not exclusive to anxiety disorders. In fact, the nursing discipline approaches anxiety as a human response to health conditions/life processes. Health information systems should primarily contribute to improving the quality of care, patient safety, and the effectiveness of care delivery. Nevertheless, nursing information systems still fail to incorporate evidence-based clinical data models addressing the nursing focus “anxiety.” Thus, this study aimed to obtain consensus on the data to be included in a clinical data model addressing the nursing focus “anxiety,” its organization, and its interrelationships by using a brainstorming session and a modified e-Delphi technique with a panel of nurse experts from across Portugal. Eight experts participated in the brainstorming session. A total of 59 and 54 participants completed the survey in e-Delphi rounds 1 and 2, respectively. Consensus was achieved to all data presented to the participants, and these data were later included in the clinical data model. This evidence-based clinical data model, grounded on a nursing theory and with standardized nursing language, will substantially contribute to nursing documentation and, consequently, to nursing care targeted at patients with anxiety.
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spelling Development of a clinical data model addressing the nursing focus “anxiety”: a consensus development studyAnxietyConsensus developmentNursing informaticsNursing processNursing recordsAnxiety disorders are among the most prevalent mental disorders worldwide. However, anxiety is not exclusive to anxiety disorders. In fact, the nursing discipline approaches anxiety as a human response to health conditions/life processes. Health information systems should primarily contribute to improving the quality of care, patient safety, and the effectiveness of care delivery. Nevertheless, nursing information systems still fail to incorporate evidence-based clinical data models addressing the nursing focus “anxiety.” Thus, this study aimed to obtain consensus on the data to be included in a clinical data model addressing the nursing focus “anxiety,” its organization, and its interrelationships by using a brainstorming session and a modified e-Delphi technique with a panel of nurse experts from across Portugal. Eight experts participated in the brainstorming session. A total of 59 and 54 participants completed the survey in e-Delphi rounds 1 and 2, respectively. Consensus was achieved to all data presented to the participants, and these data were later included in the clinical data model. This evidence-based clinical data model, grounded on a nursing theory and with standardized nursing language, will substantially contribute to nursing documentation and, consequently, to nursing care targeted at patients with anxiety.Wolters Kluwer HealthRepositório Institucional da Universidade Fernando PessoaSampaio, FranciscoGonçalves, PatríciaP., Vieira-MarquesSequeira, CarlosLluch-Canut, Teresa2023-03-15T01:30:17Z2022-03-152022-03-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10284/10902eng1538-293110.1097/CIN.0000000000000863info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-21T02:01:24ZPortal AgregadorONG
dc.title.none.fl_str_mv Development of a clinical data model addressing the nursing focus “anxiety”: a consensus development study
title Development of a clinical data model addressing the nursing focus “anxiety”: a consensus development study
spellingShingle Development of a clinical data model addressing the nursing focus “anxiety”: a consensus development study
Sampaio, Francisco
Anxiety
Consensus development
Nursing informatics
Nursing process
Nursing records
title_short Development of a clinical data model addressing the nursing focus “anxiety”: a consensus development study
title_full Development of a clinical data model addressing the nursing focus “anxiety”: a consensus development study
title_fullStr Development of a clinical data model addressing the nursing focus “anxiety”: a consensus development study
title_full_unstemmed Development of a clinical data model addressing the nursing focus “anxiety”: a consensus development study
title_sort Development of a clinical data model addressing the nursing focus “anxiety”: a consensus development study
author Sampaio, Francisco
author_facet Sampaio, Francisco
Gonçalves, Patrícia
P., Vieira-Marques
Sequeira, Carlos
Lluch-Canut, Teresa
author_role author
author2 Gonçalves, Patrícia
P., Vieira-Marques
Sequeira, Carlos
Lluch-Canut, Teresa
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Repositório Institucional da Universidade Fernando Pessoa
dc.contributor.author.fl_str_mv Sampaio, Francisco
Gonçalves, Patrícia
P., Vieira-Marques
Sequeira, Carlos
Lluch-Canut, Teresa
dc.subject.por.fl_str_mv Anxiety
Consensus development
Nursing informatics
Nursing process
Nursing records
topic Anxiety
Consensus development
Nursing informatics
Nursing process
Nursing records
description Anxiety disorders are among the most prevalent mental disorders worldwide. However, anxiety is not exclusive to anxiety disorders. In fact, the nursing discipline approaches anxiety as a human response to health conditions/life processes. Health information systems should primarily contribute to improving the quality of care, patient safety, and the effectiveness of care delivery. Nevertheless, nursing information systems still fail to incorporate evidence-based clinical data models addressing the nursing focus “anxiety.” Thus, this study aimed to obtain consensus on the data to be included in a clinical data model addressing the nursing focus “anxiety,” its organization, and its interrelationships by using a brainstorming session and a modified e-Delphi technique with a panel of nurse experts from across Portugal. Eight experts participated in the brainstorming session. A total of 59 and 54 participants completed the survey in e-Delphi rounds 1 and 2, respectively. Consensus was achieved to all data presented to the participants, and these data were later included in the clinical data model. This evidence-based clinical data model, grounded on a nursing theory and with standardized nursing language, will substantially contribute to nursing documentation and, consequently, to nursing care targeted at patients with anxiety.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-15
2022-03-15T00:00:00Z
2023-03-15T01:30:17Z
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.uri.fl_str_mv http://hdl.handle.net/10284/10902
url http://hdl.handle.net/10284/10902
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1538-2931
10.1097/CIN.0000000000000863
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wolters Kluwer Health
publisher.none.fl_str_mv Wolters Kluwer Health
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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