Assessment of patients’ dental anxiety levels in the context of infectious diseases: development and validation of Musa Kazim’s Dental Anxiety Scale (MK-DAS)

Abstract

Abstract Objectives The study aimed to develop and validate a new scale called Musa Kazim’s Dental Anxiety Scale (MK-DAS) to measure dental anxiety in relation to infectious diseases. Methods The study utilized a cross-sectional design and recruited participants from Faculty of Dentistry, Altinbas University. The sample included 289 participants who were seeking dental treatment. The Modified Dental Anxiety Scale (MDAS) was employed for the purpose of assessing levels of dental anxiety. In contrast, the MK-DAS, comprised a series of seven inquiries specifically targeting concerns regarding the treatment procedure and the fear of contagion. The data was analyzed using various statistical methods, including descriptive statistics, exploratory factor analysis, criterion validity, cluster analysis for cut-off points, and test-retest reliability. Results The factor analysis revealed that MK-DAS had a two-factor structure. The first factor consisted of five items related to various aspects of the treatment process (α:0.837), while the second factor included two items related to the fear of infectious diseases (α:0.747). The scale showed good reliability, as indicated by high Cronbach’s alpha coefficients for both factors. Strong positive correlations were found between MDAS and the first factor of MK-DAS (r = 0.857; p < 0.01), moderate positive correlations between MDAS and the second factor (r = 0.323; p < 0.01), and a strong positive correlation between MDAS and the overall of MK-DAS (r = 0.782; p < 0.01). Additionally, the cluster analysis yielded a cut-off score of 17 based on the k-means analysis. Moreover, test-retest reliability analyses indicated that dimension 1 (ICC: 0.904), dimension 2 (ICC: 0.840), and overall MK-DAS (ICC: 0.944) demonstrated high internal consistency. Conclusion The MK-DAS is an innovative and modern dental anxiety scale that has been proven to be reliable and valid, surpassing the comprehensiveness of the MDAS.