Identification of Essential Factor in a Nursing Education Programme.
Received Date: Aug 04, 2022 / Published Date: Aug 31, 2022
Abstract
A nursing programme in southern Sweden was revised to meet future demands. The aim of this study was to explore important conceptual areas to be included in a nursing programme in order to meet long-term societal and health care requirements. Group concept mapping (GCM), a mixed-methods approach, was used. Thirty-four experienced teachers participated. Data was collected during brainstorming sessions in focus groups. Following editing and removal of duplicates, 101 statements remained to be sorted into piles that had similar conceptual representation in nursing education. The final step was then to rate each statement from 1 to 5 (higher values = more important/more feasible). Quantitative analysis using non-metric multidimensional scaling and hierarchical cluster analysis resulted in 11 clusters. Assessment and treatment and Person-centred care were rated as the most important and scientific theories and methods, Basic caregiving in nursing and Person-centred care had the highest feasibility ratings. Further analyses suggested that the content of nursing education can be seen from a systems theory perspective, represented by the macro, meso, and micro levels. These levels may increase the understanding of the complexity of nursing care. Furthermore, the cluster analysis can facilitate the development of a concept-based curriculum for nursing education.
Keywords: Concept-based curriculum; Curriculum development; Group concept mapping; Mixed-methods; Nursing education; Personcentred
Citation: Pety Z (2022) Identification of Essential Factor in a Nursing Education Programme. Glob J Nurs Forensic Stud, 6: 196. Doi: 10.4172/2572-0899.1000196
Copyright: © 2022 Pety Z. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Share This Article
Open Access Journals
Article Tools
Article Usage
- Total views: 1568
- [From(publication date): 0-2022 - Nov 21, 2024]
- Breakdown by view type
- HTML page views: 1335
- PDF downloads: 233