Evaluation of Nursing Practice

Article Analysis 2
Author’s Name
Institutional Affiliation
Course Code and Name
Professor’s Name
Date

Article Analysis 2
Article Citation
and Permalink
(APA format)
Article 1
Moe, A., & Enmarker, I. (2020). Research utilization in municipality nursing practice in rural districts in Norway: A cross-sectional quantitative questionnaire study. BMC Nursing, 19(86), 1-10. https://doi.org/10.1186/s12912-020-00475-1.Article 2
Monteiro, R. A., Duarte-Neto, A. N., Silva, L. F., Oliveira, E. P., Nascimento, E. C., Mauad, T., … Dolhnikoff, M. (2021). Ultrasound assessment of pulmonary fibroproliferative changes in severe COVID-19: A quantitative correlation study with histopathological findings. Intensive Care Medicine, 47, 200-207. https://doi.org/10.1007/s00134-020-06328-4.PointDescriptionDescriptionBroad Topic Area/TitleResearch utilization in municipality nursing practice in rural districts in Norway: A cross-sectional quantitative study.Ultrasound assessment of pulmonary fibroproliferative changes in severe COVID-19: A quantitative correlation study with histopathological findings.Define HypothesesTo describe and compare caregivers in home-based nursing care and nursing homes and how they utilize research knowledge in their practice, particularly when dealing with older adults in rural districts in Norway.The study evaluates the importance of lung ultrasound (LUS) imaging to identify the severity and progression of lung damage for individuals affected by COVID-19. Define Independent and Dependent Variables and Types of Data for VariablesThe independent variable was nurses working in Norway municipal elderly care for at least six months. The dependent variable was patient care and how it was influenced by research knowledge. A Research Utilization Questionnaire (RUQ) was applied and the data collected were analyzed using ANCOVA, multiple linear regression, and Chi2.The independent variable was the LUS imaging and the dependent variable was the lung damage severity and progression. In other words, the LUS imaging showed how people’s lungs were damaged by COVID-19. The data was gathered from eight LUS parameters and three histological patterns, namely fibroproliferative in eight parts of the lungs, normal lung, and exudative diffuse alveolar damage. Population of Interest f...