Content Validity of A Questionnaire Exploring the Knowledge Translation Network Among Nursing Professionals

Autor: Gema Escobar-Aguilar, Nélida Fernández-Martínez, Pilar Marqués-Sánchez, Jose-Alberto Benítez-Andrades, María-Lara Martínez-Gimeno, María-Antonia Ovalle-Perandones
Rok vydání: 2021
Předmět:
Popis: Background: For more than four decades, studies have reported the existence of a large gap between research and clinical practice. This means that research results are not contributing to the improvement of care, and there is a high level of variability which complicates deciding on and implementing the “best care” available. In this context, it is important to understand how nurses use the research by generating different knowledge translation networks in clinical practice. Therefore, a tool is required to detect the structure of the links that are generated during the research utilization. Aim: to validate the content of a questionnaire for exploring the knowledge translation networks established among nursing professionals. Methods: A descriptive cross-sectional content validity study of an instrument created to explore the knowledge translation network between nurses was carried out. The participants were divided into two groups: experts in Social Network Analysis (SNA) and practicing nurses. The instrument was a questionnaire with items that collected both the network's variables, and those of the individual. The content of the items of the questionnaire was validated as set out in the Content Validity Index (CVI). Results: The total Content Validity Index (CVI) of the survey was 0.91. All items received an excellent rating (K*>0.81). The modified kappa coefficient for the whole scale was 0.9. Conclusions: The validated questionnaire has good content validity for exploring social networks for knowledge translation and research utilization among nursing professionals.
Databáze: OpenAIRE