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Psychometric Properties and Validation of the Persian Version of the Health Information Technology Usability Evaluation Scale

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International Conference on Information Systems and Intelligent Applications (ICISIA 2022)

Abstract

The quality of healthcare is highly dependent on nurses’ performance and efficiency. In recent years, hospital information systems (HIS), healthcare software and applications have been introduced to enhance their ability and nurses have a key role in accepting and evaluating the HIS. This study tested psychometric properties and validation of a Persian version of the “Health Information Technology Usability Evaluation Scale” (Health-ITUES). Expert panel, which consisted of 10 nursing professors, assessed the content and face validity of the Persian Health-ITUES. Sample of the was 229 nurses employed in hospitals. Cronbach’s alpha was used to test reliability along with “confirmatory factor analysis” (CFA) was used to test construct validity. Further, both discriminant and convergent validity were assessed. Content validity index (CVI) and content validity ratio (CVR) were .93 and .75 respectively. Scale content validity index (S-CVI) and item content validity index (I-CVI) were more than thresholds (.76 and .90, respectively). Goodness of fit indexes revealed the measurement model was fitted to data well (χ2/DF = 2.49, IFI = .939, CFI = .938, GFI = .903, RMSEA = .076). Cronbach’s alpha values of the factors and total scale were ranged between .75 and .94. The results indicated that Persian version of the health-ITUES is a reliable and valid tool to measure information technology usability in nursing field. We recommend to researchers, health and nursing application developers to use iterative usability evaluation with HITUES to identify problems in early developing steps and address user-centered design.

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Correspondence to Saeed Barzegari .

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Doughikola, H.M.N., Arpaci, I., Rahmani, M., VahidAfshar, T., Barzegari, S. (2023). Psychometric Properties and Validation of the Persian Version of the Health Information Technology Usability Evaluation Scale. In: Al-Emran, M., Al-Sharafi, M.A., Shaalan, K. (eds) International Conference on Information Systems and Intelligent Applications. ICISIA 2022. Lecture Notes in Networks and Systems, vol 550. Springer, Cham. https://doi.org/10.1007/978-3-031-16865-9_36

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