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Prioritizing factors influencing nurses' satisfaction with hospital information systems: a fuzzy analytic hierarchy
Khalil Kimiafar1, Farahnaz Sadoughi, Abbas Sheikhtaheri
1Author Affiliations: School of Health Management and Information Sciences, Department of Health Information Management, (Mr Kimiafar and Dr Sadoughi), and School of Allied Medical Sciences, Department of Health Information Management, (Dr Sheikhtaheri), Tehran University of Medical Sciences, Tehran; and School of Paramedical Sciences, Faculty of Medicine and Medical Records Department, Department of Medical Informatics, Mashhad University of Medical Sciences, Mashhad (Ms Sarbaz), Iran.
Abstract:
Our aim was to use the fuzzy analytic hierarchy process approach to prioritize the factors that influence nurses' satisfaction with a hospital information system. First, we reviewed the related literature to identify and select possible factors. Second, we developed an analytic hierarchy process framework with three main factors (quality of services, of systems, and of information) and 22 subfactors. Third, we developed a questionnaire based on pairwise comparisons and invited 10 experienced nurses who were identified through snowball sampling to rate these factors. Finally, we used Chang's fuzzy extent analysis method to compute the weights of these factors and prioritize them. We found that information quality was the most important factor (58%), followed by service quality (22%) and then system quality (19%). In conclusion, although their weights were not similar, all factors were important and should be considered in evaluating nurses' satisfaction.
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