Psychometrics of the Attitude Scale towards the use of Artificial Intelligence Technologies in Nursing

Abstract

BACKGROUND: It is clear that nursing practice is directly affected by artificial intelligence (AI), and in this regard, a need is felt for more information on the knowledge and attitudes of nurses to the use of AI technology in nursing care practice. However, no inclusive measurement instrument tested for validity and reliability evaluating the attitudes of nurses to the use of AI technology was found. The aim of this research was to develop and test the validity of the Attitude Scale Towards the Use of Artificial Intelligence Technologies in Nursing (ASUAITIN) in the Turkish language. METHODS: The research was a methodological and cross-sectional study, designed to develop and test the validity of the ASUAITIN. STROBE guidelines were followed in the study. In order to create the starting materials, the researchers made a scan of the literature. Two hundred nurses working in the internal medicine, surgical and intensive care departments of a university hospital in the Marmara Region of Turkey were included in the study. Items were assessed for content validity. ASUAITIN was tested for construct validity and internal consistency reliability. RESULTS: ASUAITIN consists of 15 items. It has two dimensions, positive attitude, and negative attitude to AI technology in nursing practice, and practice and explains 67.762% of total variance. Item loads were between 0.529 and 0.866. Cronbach alpha values were calculated to be 0.910 for the total scale, 0.933 for Factor 1, and 0.917 for Factor 2. CONCLUSIONS: The results of this study show that the ASUAITIN scale are validated and reliable measurement tool. ASUAITIN can be used as an instrument to assess the attitudes to AI technology in practice among nurses working in the clinical field. CLINICAL TRIAL NUMBER: Not applicable.

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