Specialized nursing terminology for the care of people with COVID-19

Araújo, Diego Dias de; Nascimento, Maria Naiane Rolim; Mota, Écila Campos; Ribeiro, Maíra Marques; Gonçalves, Renata Patrícia Fonseca; Gusmão, Ricardo Otávio Maia; Félix, Nuno Damácio de Carvalho

doi:10.1590/0034-7167-2020-0741

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…Two studies using clinical data showed the value of using standardised terminologies, such as Omaha and NANDA-I, when describing nursing care of COVID-19 patients (Ardic & Turan, 2021;Asghari et al, 2021). Moreover, terms relevant to the context of COVID-19-hospitalised patients have been identified from the literature (Barros et al 2020;de Souza et al 2020;Menezes et al 2021;Santos et al, 2021), official documents (Aguña et al 2021a(Aguña et al , 2021bAraújo et al 2021) and care plans (Swanson et al 2021) and mapped to the standardised nursing languages NANDA-I, Nursing Outcomes Classification (NOC), NIC and the 2019 version of ICNP. The results indicate that terms in ICNP represent the specific context of nursing practice for COVID-19 patients ( de Souza et al, 2020;Santos et al, 2021).…”

Section: Icnp As a Reference Set In Systematized Nomenclature Of Medi...mentioning

confidence: 99%

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Description of COVID‐19 patients and mapping nursing data to ICNP 2021 reference set in SNOMED CT

Thoroddsen

Rúnarsdóttir

Örlygsdóttir

2022

International Nursing Review

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Aim To describe nursing care of COVID‐19 patients with International Classification for Nursing Practice (ICNP) 2019, ICNP 2021 reference set, and Systematized Nomenclature of Medicine–Clinical Terms (SNOMED CT). Background From the beginning of the COVID‐19 pandemic, nurses have realised the importance of documenting nursing care. Introduction It is important to recognise how real nursing data match the ICNP reference set in SNOMED CT as that is the terminology to be used in Iceland. Methods A descriptive study with two methods: (a) statistical analysis of demographic and coded clinical data identified and retrieved from Electronic Health Record (EHR) and (b) mapping of documented nursing diagnoses and interventions in EHRs into ICNP 2019, ICNP 2021 and SNOMED CT 2021. Results The sample consisted of all (n = 91) adult COVID‐19 patients admitted to the National University Hospital between 28 February and 30 June 2020. Nurses used 62 different diagnoses and 79 interventions to document nursing care. Diagnoses and interventions were best represented by SNOMED CT (85.4%; 100%), then by ICNP 2019 version (79.2%; 85%) and least by the ICNP 2021 reference set (70.8; 83.3%). Ten nursing diagnoses did not have a match in the ICNP 2021 reference set. Discussion Nurses need to keep up with the development of ICNP and submit to ICN new terms and concepts deemed necessary for nursing practice for inclusion in ICNP and SNOMED CT. Conclusion Not all concepts in ICNP 2019 for COVID‐19 patients were found to have equivalence in ICNP 2021. SNOMED CT–preferred terms cover the description of COVID‐19 patients better than the ICNP 2021 reference set in SNOMED CT. Implications for nursing and health policy Through the use of ICNP, nurses can articulate the unique contribution made by the profession and make visible the specific role of nursing worldwide.

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Section: Icnp As a Reference Set In Systematized Nomenclature Of Medi...mentioning

confidence: 99%

“…2021a, 2021b; Araújo et al. 2021) and care plans (Swanson et al. 2021) and mapped to the standardised nursing languages NANDA‐I, Nursing Outcomes Classification (NOC), NIC and the 2019 version of ICNP.…”

Section: Introductionmentioning

confidence: 99%

Description of COVID‐19 patients and mapping nursing data to ICNP 2021 reference set in SNOMED CT

Thoroddsen

Rúnarsdóttir

Örlygsdóttir

2022

International Nursing Review

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Nursing terminology for the care of people with respiratory diseases and Covid-19

Oliveira,

Vasconcelos,

Veras

et al. 2024

Rev. esc. enferm. USP

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Objectives: To build a specialized nursing terminology for the care of people with respiratory diseases and Covid-19 or who have respiratory diseases after Covid-19, based on ICNP®. Method: Methodological study developed in two stages: (1) identification of the relevant concepts for the health priority chosen from the literature; (2) cross-mapping of the identified concepts with the concepts contained in ICNP® version 2019/2020. Results: 9460 terms were extracted from the literature, of which 4065 terms were excluded because they were not related to the object of study and 5395 were submitted to the mapping technique, resulting in 290 constant terms in the ICNP® and 5134 non-constant terms. The constant terms were classified into the following axes: 120 in the Focus axis, 13 in Judgment, 48 in Action, 23 in Location, 38 in Means, eight in Time and one in Client. In addition, 36 nursing diagnoses/outcomes and three nursing interventions were mapped. Conclusion: The terminology will support the quality of care provided by the nursing team and the manual and electronic recording of patient data.

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Terminologia de enfermagem para o cuidado a pessoa com doençasrespiratórias e Covid-19

Oliveira,

Vasconcelos,

Veras

et al. 2024

Rev. esc. enferm. USP

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RESUMO Objetivos: Construir uma terminologia especializada de enfermagem para o cuidado à pessoa com doenças respiratórias e Covid-19 ou que apresentou doenças respiratórias após a Covid-19, fundamentada na CIPE®. Método: Estudo metodológico desenvolvido em duas etapas: (1) identificação dos conceitos relevantes para a prioridade de saúde escolhida a partir da literatura; (2) mapeamento cruzado dos conceitos identificados com os conceitos constantes na CIPE® versão 2019/2020. Resultados: Foram extraídos 9460 termos a partir da literatura. Desse total, 4065 termos foram excluídos por não estarem relacionados ao objeto de estudo e 5395 foram submetidos à técnica de mapeamento, resultando em 290 termos constantes na CIPE® e 5134 termos não constantes. Os termos constantes foram classificados nos eixos: 120 no eixo Foco, 13 no Julgamento, 48 no Ação, 23 no Localização, 38 no Meios, oito no Tempo e um no Cliente, além disso foram mapeados 36 diagnósticos/resultados de enfermagem e três intervenções de enfermagem. Conclusão: A terminologia subsidiará na qualidade da assistência da equipe de enfermagem e nos registros manual e eletrônico dos dados dos pacientes.

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Specialized nursing terminology for the care of people with COVID-19

Cited by 7 publications

References 12 publications

Description of COVID‐19 patients and mapping nursing data to ICNP 2021 reference set in SNOMED CT

Description of COVID‐19 patients and mapping nursing data to ICNP 2021 reference set in SNOMED CT

Nursing terminology for the care of people with respiratory diseases and Covid-19

Terminologia de enfermagem para o cuidado a pessoa com doençasrespiratórias e Covid-19

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