:: Volume 14, Issue 3 (Summer 2023) ::
Caspian J Intern Med 2023, 14(3): 449-453 Back to browse issues page
Psychometric properties of the Persian version of emotions and attitudes towards MRI” (MRI-EMA)
Abdorreza Naser Moghadasi , Sara Hamtaei Gashti , Mohammad Ali Sahraian , Mahsa Ghajarzadeh
Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran , m.ghajarzadeh@gmail.com
Abstract:   (1346 Views)
Background: Patients with multiple sclerosis (MS) should have magnetic resonance imaging evaluation regularly. They will experience anxiety before this examination. We conducted this study to evaluate the validity and reliability of emotions and attitudes towards MRI” (MRI-EMA).
Methods: One hundred-nine patients with MS were asked to fill the valid and reliable Persian version of Beck Anxiety Inventory (BAI), and MRI-EMA, questionnaires. Two weeks later, twenty cases were asked to fill the questionnaire again to assess reliability. The intra-class correlation coefficient (ICC) and Cronbach's alpha analysis were used. The correlation coefficient between BAI and MRI-EMA was calculated. Five neurologists assessed content validity by content validity ratio (CVR) and content validity index (CVI).
Results: The mean age was 37.2±1.2 years and 77% were females. CVI and CVR for all questions were 100%. The correlation coefficient between BAI and MRI-EMA was r=0.1, P=0.1 and only fear of MRI subscale was significantly correlated with BAI. The ICC of all questions was between 0.79 and 0.98.
Conclusion: Patients with MS have to be routinely screened with MRI which provides anxiety for them. Considering MRI related anxiety is crucial for these cases. The Persian version of the MRI-EMA questionnaire is a valid and reliable instrument for measuring MRI related anxiety in patients with multiple sclerosis.

Keywords: multiple sclerosis, magnetic resonance imaging, anxiety.
Full-Text [PDF 229 kb]   (659 Downloads)    
Type of Study: Original Article | Subject: Neurology
Received: 2021/09/20 | Accepted: 2022/03/27 | Published: 2023/05/30

XML     Print

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 14, Issue 3 (Summer 2023) Back to browse issues page