Aims: To explore patterns and dynamics during the co-design process of nurse practitioners' role development in three departments in a Belgian tertiary hospital.
Design: Participatory action research was utilised in conjunction with principles of a Grounded Theory approach to explore patterns and dynamics.
Methods: Sixteen meetings were conducted between January and June 2021 with interdisciplinary teams to develop the roles.
To deal with the upcoming challenges and complexity of the nursing profession, it is deemed important to reflect on our current organization of care. However, before starting to rethink the organization of nursing care, an overview of important elements concerning nursing care organization, more specifically nursing models, is necessary. The aim of this study was to conduct a mapping review, accompanied by an evidence map to map the existing literature, to map the field of knowledge on a meta-level and to identify current research gaps concerning nursing models in a hospital setting.
View Article and Find Full Text PDFIntroduction: Due to the increased prevalence of chronic conditions, multimorbidity and an increased complexity of care, the burden on healthcare teams is high resulting in unmet needs of patients and their family and a high workload on healthcare professionals. To respond to these challenges, care models integrating nurse practitioners were introduced. Despite the proven benefits, implementation in Belgium is at an early stage.
View Article and Find Full Text PDFAim: An option appraisal of different nursing care delivery models was presented, which were made in between the first and second COVID-19 waves. The authors wanted to inform colleagues on involving nursing care delivery models in the problem-solving process during a pandemic.
Local Problem: In the pre-COVID-19 hospital practice, the nursing care delivery model of primary nursing was applied in the intensive care unit (ICU).
Background: The feasibility of evaluating an objective grading of cervical intraneoplasia lesions (CIN) is attempted using an automatic computerized system able to measure several valuable parameters with special reference to epithelium differentiation.
Methods: 4 groups of 10 images each were selected at random from 68 consensus images coming from 80 archival cervical biopsies, normal (n = 10), CIN 1 (n = 10), CIN 2 (n = 10), CIN 3 (n = 10). Representative images of lesions were captured from the microscopic slides and were analyzed using mathematical morphology, with special reference toVoronoï tessellation and Delaunay triangulation.