Care Recommendations for the Chronic Risk of COVID-19: Nursing Intervention for Behaviour Changes

Alexandra González Aguña, Marta Fernández Batalla, Blanca Gonzalo de Diego, María Lourdes Jiménez Rodríguez, María Lourdes Martínez Muñoz and José María Santamaría García
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Alexandra González Aguña: Henares University Hospital, Community of Madrid Health Service (SERMAS), 28822 Madrid, Spain
Marta Fernández Batalla: Research Group MISKC, Department of Computer Science, University of Alcala, Polytechnic Building, University Campus, Barcelona Road Km. 33.6, 28805 Alcalá de Henares, Spain
Blanca Gonzalo de Diego: Research Group MISKC, Department of Computer Science, University of Alcala, Polytechnic Building, University Campus, Barcelona Road Km. 33.6, 28805 Alcalá de Henares, Spain
María Lourdes Jiménez Rodríguez: Research Group MISKC, Department of Computer Science, University of Alcala, Polytechnic Building, University Campus, Barcelona Road Km. 33.6, 28805 Alcalá de Henares, Spain
María Lourdes Martínez Muñoz: Care Management, Community of Madrid Health Service (SERMAS), 28020 Madrid, Spain
José María Santamaría García: Research Group MISKC, Department of Computer Science, University of Alcala, Polytechnic Building, University Campus, Barcelona Road Km. 33.6, 28805 Alcalá de Henares, Spain

IJERPH, 2022, vol. 19, issue 14, 1-15

Abstract: The COVID-19 pandemic is a challenge for health systems. The absence of prior evidence makes it difficult to disseminate consensual care recommendations. However, lifestyle adaptation is key to controlling the pandemic. In light of this, nursing has its own model and language that allow these recommendations to be combined from global and person-centred perspectives. The purpose of the study is to design a population-oriented care recommendation guide for COVID-19. The methodology uses a group of experts who provide classified recommendations according to Gordon’s functional patterns, after which a technical team unifies them and returns them for validation through the content validity index (CVI). The experts send 1178 records representing 624 recommendations, which are unified into 258. In total, 246 recommendations (95.35%) are validated, 170 (65.89%) obtain high validation with CVI > 0.80, and 12 (4.65%) are not validated by CVI < 0.50. The mean CVI per pattern is 0.84 (0.70–0.93). These recommendations provide a general framework from a nursing care perspective. Each professional can use this guide to adapt the recommendations to each individual or community and thus measure the health impact. In the future, this guideline could be updated as more evidence becomes available.

Keywords: community health nursing; COVID-19; counselling; nursing care (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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