Browsing by Author "Pungchanchaikul, Patimaporn"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    In-Review: Perspectives of Front-Line Clinicians and Remote Reviewers on Smartphone-Based Photography for Assessing Traumatic Dental Injuries: A Qualitative Study
    (Preprint, 2025) Schultz, Emily C.; Huang, Boyen; Shenouda, Margaret; Estai, Mohamed; Ranjitkar, Sarbin; Louie, Jeffrey P.; Pungchanchaikul, Patimaporn
    Background: Mobile health (mHealth) is increasingly utilized in teledentistry for telediagnosis and other services, yet the perceptions of front-line and end-line users regarding these technologies in dentistry remained unexplored. Objective: This study examined the acceptability, feasibility, and usability of an mHealth model for telediagnosis from the perspectives of front-line and end-line users. Methods: A qualitative design using focus group interviews was employed. Participants (N=15) included front-line clinicians who captured dental photos via a smartphone app and remote reviewers who assessed the photos through an mHealth platform. Transcriptions of the audio-recorded interviews were analyzed thematically using consensus coding. Results: Thematic analysis identified nine key themes: feasibility and perceived ease of use, perceived usefulness, compatibility, self-image and social influences, self-efficacy, voluntariness and behavior intention, anxiety, facilitating conditions, and attitudes toward a behavior. Participants considered smartphone-based photography acceptable, feasible, and usable for remote dental assessment. Facilitators and barriers to implementing the mHealth model were highlighted, and recommendations for improvements were proposed. Conclusion: Cyclical education and professional development are essential to boosting user self-efficacy and technology usability. Addressing resistance from patients and clinicians through targeted education, effective communication, and operational enhancements can facilitate adoption. Suggested improvements include incorporating camera grids, integrating with patient management systems, and streamlining login processes. This study highlights the significant potential of mHealth in the initial assessment of emergency cases and patient screening, particularly benefiting underserved populations and fostering interprofessional collaboration in emergency departments. Future research should explore broader clinical applications, including other oral health conditions.
  • Thumbnail Image
    Item
    Mobile Health Assessment of Traumatic Dental Injuries Using Smartphone Acquired Photographs: A Multicenter Diagnostic Accuracy Study
    (Telemedicine and e-Health, 2024) Huang, Boyen; Estai, Mohamed; Pungchanchaikul, Patimaporn; Quick, Karin; Ranjitkar, Sarbin; Fashingbauer, Emily; Askar, Abdirahim; Wang, Josiah; Diefalla, Fatma; Shenouda, Margaret; Seyffer, Danae; Louie, Jeffrey P
    Background: Mobile health (mHealth) has an emerging potential for remote assessment of traumatic dental injuries (TDI) and support of emergency care. This study aimed to determine the diagnostic accuracy of TDI detection from smartphone-acquired photographs. Methods: The upper and lower anterior teeth of 153 individuals aged ≥ 6 years were photographed using a smartphone camera app. The photos of 148 eligible participants were reviewed independently by a dental specialist, two general dentists, and two dental therapists, using predetermined TDI classification and criteria. The sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and inter-rater reliability were estimated to evaluate the diagnostic performance of the photographic method relative to the reference standard established by the dental specialist. Results: Of the 1,870 teeth screened, one-third showed TDI; and one-seventh of the participants had primary or mixed dentitions. Compared between the specialist’s reference standard and four dental professionals’ reviews, the diagnostic sensitivity and specificity for TDI versus non-TDI was 59-95% and 47-93%, respectively, with better performance for urgent types of TDI (78-89% and 99-100%, separately). The diagnostic consistency was also better for the primary/mixed dentitions than the permanent dentition. Conclusion: This study suggested a valid mHealth practice for remote assessment of TDI. A better diagnostic performance in the detection of urgent types of TDI and examination of the primary/mixed dentitions was also reported. Future directions include professional development activities involving dental photography and photographic assessment, incorporation of a machine learning technology to aid photographic reviews, and randomized controlled trials in multiple clinical settings.