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Showing 2 results for Human Factors

S. Tarzimoghadam, S. A. Zakerian,
Volume 5, Issue 4 (12-2015)
Abstract

Introduction: The healthcare system is one of the largest sectors in most countries and is a socio-technical system in which people play a preponderant role. Nowadays medical work systems are facing three major challenges: 1) Healthcare costs, 2) Quality and patient demands and 3) complexity of healthcare. These problems show the necessity of applying ergonomic models in the healthcare sector. The aim of this study was to review the practical ergonomic models in healthcare system.
 

Material and method: For this review article, the authors searched through ScienceDirect, PubMed, ProQuest internet databases from 2005-2014 using the following keywords: Healthcare, Ergonomics, Human factors and model.
 

Result: Overall, 85 articles were reviewed. By evaluating articles' titles, 30 articles related to the study subject were chosen. Then, reviewing the abstracts resulted in 15 articles and in the final step 5 full-text articles were selected which described practical models of ergonomics in healthcare: 1) SEIPS, 2) DIAL-F, 3) Extended Patient-Staff-Machine-Interaction, 4) Adapted Medical-Task and 5) Recursive Hierarchical Task-Process-Task-Model.
 

Conclusion: Most of the published studies emphasize on application of ergonomic models in healthcare centers since these models may reduce their problems. These ergonomics approaches support patient-centered treatment processes, user-oriented design of medical environments, efficient utilization of resources and increase motivation of clinical staff.


Fakhradin Ghasemi, Sepideh Nourian, Mohammad Babamiri,
Volume 12, Issue 4 (12-2022)
Abstract

Introduction: Affinity for Technology Interaction (ATI) refers to the users’ tendency to actively interact with a digital system. ATI is a personal characteristic affecting many aspects of human-technology interaction. The present study aimed to assess the psychometric properties of the Persian version of the ATI scale.
Material and Methods: The Persian version of the scale was developed in accordance with the forward-backward translation approach. The construct validity of the scale was assessed using exploratory and confirmatory factor analyses. The correlation of the scale with the Big-five personality traits, need for cognition (NFC), age, gender, and field of study was also investigated.
Results: In contrast to the original scale, the Persian ATI had two components, confirmed by the exploratory and confirmatory factor analyses. The first component contained eight items and the second contained one item, item 3. So, this item was removed from the scale. The 8-item scale demonstrated excellent reliability (coefficient=0.90). The Persian ATI was not significantly correlated with extraversion, agreeableness, conscientiousness, and neuroticism (p>0.05). In contrast, it was significantly correlated with openness to experience (0.175, p<0.01) and NFC (0.36, p<0.01). The Persian ATI score for men was higher than for women. Various age groups were not significantly different in terms of the Persian ATI score.
Conclusion: In contrast to the original version, the Persian version of ATI is composed of eight items. Other characteristics, including unidimensionality and correlation with other personality traits, are similar to the original version.

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