A Framework for Integrating Digital Technology Adoption in Pediatric Dentistry Practices

Thesis Abstract

The integration of digital technology into pediatric dentistry practices is increasingly recognized as essential for enhancing clinical outcomes, improving patient experiences, and maintaining competitiveness within the evolving healthcare landscape. However, the adoption process remains inconsistent, characterized by barriers such as limited practitioner awareness, technological complexity, and organizational resistance, which collectively impede the development of a cohesive framework for effective integration. This study aims to develop a comprehensive framework that guides the systematic adoption of digital technologies—such as digital radiography, 3D imaging, intraoral scanners, and telehealth—within pediatric dental clinics. The specific objectives are to (1) identify the key factors influencing digital technology adoption in pediatric dentistry, (2) examine the relationship between these factors and practitioners’ readiness, and (3) formulate a practical integration framework grounded in empirical evidence. The research adopts a mixed-methods approach, combining quantitative and qualitative methodologies to ensure a holistic understanding of the complex adoption landscape. The quantitative phase utilizes a cross-sectional survey design targeting pediatric dentists practicing within Metropolitan City, with a sample size of 250 practitioners selected through stratified random sampling to ensure representativeness across private and public sectors. Data collection instruments include a validated structured questionnaire assessing key variables such as technological readiness, perceived benefits and barriers, organizational support, and perceived ease of use. Quantitative data will be analyzed using descriptive statistics, exploratory and confirmatory factor analysis, and multiple regression analysis to identify predictive factors influencing adoption behaviors. Complementing this, the qualitative phase involves semi-structured interviews with a purposive sample of 20 senior pediatric dentists and dental technology managers to explore contextual factors, perceived challenges, and facilitators of technology integration. Thematic analysis, utilizing NVivo software, will be employed to interpret interview data, providing nuanced insights into the subjective experiences and organizational culture influencing digital adoption. The study hypothesizes that practitioners' technological readiness and perceived organizational support significantly predict the likelihood of adopting digital technologies. It also posits that barriers such as financial constraints and lack of training impede adoption, while facilitators such as continuing education and institutional incentives promote it. The expected findings include a set of empirically validated factors forming the foundation for the proposed framework, which will delineate stages, stakeholder roles, critical success factors, and recommended implementation strategies for integrating digital tools within pediatric dental clinics effectively. This research contributes to existing knowledge by bridging theoretical models—such as the Technology Acceptance Model (TAM) and Diffusion of Innovations Theory—with empirical insights specific to pediatric dentistry, thereby extending their applicability. The resulting framework is anticipated to serve as a practical guide for practitioners, administrators, and policymakers seeking to foster systematic, sustainable digital transformation in pediatric dental care. The main conclusion underscores the importance of strategic planning, organizational support, and targeted training in facilitating technology adoption. Recommendations include the development of tailored training programs, the establishment of institutional policies that incentivize adoption, and further research to evaluate the framework's implementation in varied clinical settings. Overall, this study aims to support pediatric dentistry practices in navigating the digital transition, ultimately elevating patient care standards and operational efficiencies through evidence-based strategies.