Alexandra González-Aguña1, María Lourdes Jiménez-Rodríguez2, Marta Fernández-Batalla3, Sara Herrero-Jaén4, Enrique Monsalvo-San Macario5, Verónica Real-Martínez6, José María Santamaría-García7. 1. Henares University Hospital, Research Group MISKC, PhD candidate at University of Alcala, Community of Madrid Health Service (SERMAS), University of Alcala, Madrid, Spain. 2. Associate Professor in Computer Science Department, Research Group MISKC of UAH, University of Alcala, Alcalá de Henares, Madrid, Spain. 3. Torres de la Alameda Health Center, Research Group MISKC, Community of Madrid Health Service (SERMAS), University of Alcala, Madrid, Spain. 4. Severo Ochoa University Hospital, Research Group MISKC, PhD candidate at University of Alcala, Community of Madrid Health Service (SERMAS), University of Alcala, Madrid, Spain. 5. La Garena Health Center, Research Group MISKC, PhD candidate at University of Alcala, Community of Madrid Health Service (SERMAS), University of Alcala, Madrid, Spain. 6. Nursing Director of COVID-19 IFEMA Hospital, Madrid Emergency Medical Service (SUMMA 112), Community of Madrid Health Service (SERMAS), Madrid, Spain. 7. COVID-19 IFEMA Hospital, Meco Health Center, Research Group MISKC, Community of Madrid Health Service (SERMAS), University of Alcala, Madrid, Spain.
Abstract
PURPOSE: To identify the nursing care problems related to the clinical process of disease by COVID-19. METHOD: The study applied the taxonomic triangulation technique on a clinical management guide to coronavirus disease, COVID-19, from the World Health Organization. The technique is divided into the phases: extraction of knowledge in natural language about assessment, planning and intervention, translation into standard language NOC and NIC, linking to NANDA-I diagnoses, triangulation looking for diagnostic matches in the three sets, and, finally, validation by a panel of experts from a hospital and a university. FINDINGS: The extraction identified 159 terms in natural language that were translated into 173 variables: 34 NOC for assessment, 19 NOC for planning, and 120 NIC for intervention. The relationships to NANDA-I diagnoses recorded 2,182 links and the triangulation returned 109 diagnoses, 54 of them for a critical situation. The panel of experts unanimously validated the 29 diagnoses with the highest number of links. CONCLUSION: Coronavirus disease, COVID-19, involves a complex situation with multiple associated care problems that can be identified using the taxonomic triangulation technique. IMPLICATIONS FOR NURSING PRACTICE: The links between taxonomies and the taxonomic triangulation technique are an important tool for generating knowledge. The results of this study may guide the diagnosis and treatment of coronavirus disease, COVID-19, as well as similar processes that occur with acute respiratory distress syndrome.
PURPOSE: To identify the nursing care problems related to the clinical process of disease by COVID-19. METHOD: The study applied the taxonomic triangulation technique on a clinical management guide to coronavirus disease, COVID-19, from the World Health Organization. The technique is divided into the phases: extraction of knowledge in natural language about assessment, planning and intervention, translation into standard language NOC and NIC, linking to NANDA-I diagnoses, triangulation looking for diagnostic matches in the three sets, and, finally, validation by a panel of experts from a hospital and a university. FINDINGS: The extraction identified 159 terms in natural language that were translated into 173 variables: 34 NOC for assessment, 19 NOC for planning, and 120 NIC for intervention. The relationships to NANDA-I diagnoses recorded 2,182 links and the triangulation returned 109 diagnoses, 54 of them for a critical situation. The panel of experts unanimously validated the 29 diagnoses with the highest number of links. CONCLUSION:Coronavirus disease, COVID-19, involves a complex situation with multiple associated care problems that can be identified using the taxonomic triangulation technique. IMPLICATIONS FOR NURSING PRACTICE: The links between taxonomies and the taxonomic triangulation technique are an important tool for generating knowledge. The results of this study may guide the diagnosis and treatment of coronavirus disease, COVID-19, as well as similar processes that occur with acute respiratory distress syndrome.
Authors: Vanessa Cortinhal; António Pereira; Sofia Correia; Sérgio Deodato Journal: Int J Environ Res Public Health Date: 2022-05-23 Impact factor: 4.614
Authors: Alexandra González Aguña; Marta Fernández Batalla; Javier Díaz-Tendero Rodríguez; Juan Antonio Sarrión Bravo; Blanca Gonzalo de Diego; José María Santamaría García Journal: Nurs Open Date: 2021-05-06
Authors: Alexandra González Aguña; Marta Fernández Batalla; Blanca Gonzalo de Diego; María Lourdes Jiménez Rodríguez; María Lourdes Martínez Muñoz; José María Santamaría García Journal: Int J Environ Res Public Health Date: 2022-07-12 Impact factor: 4.614