Predicting Adoption of Cone Beam Computed Tomography among Pediatric Dentists
thesisposted on 2017-11-01, 00:00 authored by Saad Binsaleh
Purpose: To explain why some pediatric dentists adopt Cone Beam Computed Tomography (CBCT), using Rogers’s “Diffusion of Innovations Model.” Methods: A 20-item electronic questionnaire was distributed to 7,171 members of the American Academy of Pediatric Dentistry. Demographic questions yielded information about age, experience, dental/specialty education, board status, practice location, and practice type. The dependent variable was “adoption” versus “non-adoption” of CBCT. The independent variables were derived from Rogers’s model and include scaled questions in four domains: familiarity, availability, relative advantage, and compatibility of CBCT with pediatric dental practice. Binary logistic regression was used to predict adoption from demographics and model domains. Results: There were 533 responses (response rate 7%) following three rounds of distribution over nine weeks, 396 responses met inclusion criteria (74%); 137 responses were excluded due to additional specialty training or incomplete responses. Adopters were operationally defined as pediatric dentists who used CBCT at least once per year, and 24% of respondents were classified as adopters. Practice type was the only demographic variable associated with adoption of CBCT in preliminary analysis (p<.001). The outcome variable (adoption) was then regressed on the domain variables, and the final model showed familiarity (p<.001), availability (p<.001), and compatibility (p<.001) as predictive of CBCT use while relative advantage was not associated. The regression model explained 31% of the variance in outcome variable. Conclusions: Consistent with Rogers’ model, pediatric dentists who adopt CBCT are more familiar with and have access to it and view it as compatible with their practice.
Degree GrantorUniversity of Illinois at Chicago