ArticleFrontiers in digital health2026
Assessing nurses' attitudes toward artificial intelligence in Kazakhstan: psychometric validation of a nine-item scale.
Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Artificial intelligence (AI) is increasingly integrated into healthcare, yet the attitudes and knowledge of nurses, who are the key mediators of AI implementation, remain underexplored. This study aimed to evaluate the psychometric properties of a previously validated nine-item scale measuring nurses' knowledge and attitudes toward AI and to describe preliminary findings from primary healthcare centre (PHC) nurses in Almaty, Kazakhstan. Methods: A cross-sectional survey was conducted among 400 nurses from eight randomly selected PHCs in Almaty. The English version of the questionnaire assessing sociodemographic characteristics, knowledge of AI, and attitudes toward AI among nurses was translated and adapted in Kazakh and Russian languages. Exploratory factor analysis (EFA) was performed on 60% of the sample ( Results: Most participants were female (94%, Conclusions: The validated scale demonstrated excellent psychometric properties in Kazakhstani context and has the potential to be used more broadly across the Central Asian region. While nurses exhibited positive perceptions of AI's clinical and operational benefits, gaps in specific knowledge suggest a need for targeted educational interventions.
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