Linguistic Validation of Genomic Nursing Concept Inventory to Finnish Applying Mandysova's Decision Tree Algorithm.

BACKGROUND AND PURPOSE: Currently, there is no available Finnish version of the Genomic Nursing Concept Inventory tool (GNCI). This study tested the validity, reliability, and clinical usability of a Finnish translation. METHODS: A decision tree algorithm was used to guide the translation, as per International Society for Pharmacoeconomics and Outcomes Research guidelines. Item-Content Validity Index (I-CVI), modified kappa (k*) statistics, and Cronbach's alpha were calculated. RESULTS: The I-CVI and k* values were "good" to "excellent" (I-CVI = 0.63-1.00, k* = 0.52-1.00), and Cronbach's alpha value was "good" (α = 0.816; 95% confidence interval: 0.567-0.956). CONCLUSION: The Mandysova's decision tree algorithm provided clear and rigorous direction for the translation and validity of the Finnish GNCI

Randomized controlled trial on the effectiveness of web-based Genomics Nursing Education Intervention for undergraduate nursing students: a study protocol.

AIM:To describe a randomized controlled trial protocol that will evaluate the effectiveness of two web-based genomic nursing education interventions. BACKGROUND:Preparing future nurses to be competent in genetic and genomic concepts is fundamental to ensure appropriate clinical application. However, genetics-genomics concepts are still new in the field of nursing. Little is known about what type and kind of web-based nursing education is effective in improving the knowledge of nursing students. To address these knowledge gaps, a web-based 'Genomic Nursing Education Intervention' will be developed and compared with an existing online education programme. DESIGN:A randomized controlled trial of two groups with pre-test and repeated posttesting. METHODS:The Genomic Nursing Concept Inventory, a validated tool, will be used to assess the genetics-genomics knowledge of nursing students. Participants will be randomly allocated to either a control or an intervention group. The control group will receive the standard web-based nursing education, while the intervention group will receive a newly developed web-based education intervention. Outcome measures include the students' knowledge level of nursing genetics-genomics concepts. Participants will be retested at 3 and 6 months. CONCLUSION:Current evidence shows that ensuring nurses have adequate education in genetic-genomic concepts is challenging. This study will demonstrate which of two web-based nursing education methods is more effective in teaching genetic-genomic concepts. This research project will better prepare the nursing profession in their careers for the emerging advance technologies in genetics-genomics and personalized health care. IMPACT:Current evidence shows major challenges in ensuring that nurses have adequate education in genetics-genomics concepts. Less is known about what approaches to web-based education are effective to improve the knowledge gaps of nursing students in genetics-genomics concepts. This study will determine which type of web-based nursing education is effective in improving the genetics-genomics knowledge of nursing students. This research project will help better prepare nurses in dealing with advances in genetics-genomics in their careers. TRIAL REGISTRATION: This study is registered in ClinicalTrials.gov (ID number NCT03963687) https://clinicaltrials.gov/show/NCT03963687