Exploring Factors Associated With Missed Dental Appointments: A Machine Learning Analysis of Electronic Dental Records.

BACKGROUND: This study aimed to employ machine learning techniques to explore the factors that could be associated with missed dental appointments. METHODS: This cross-sectional study analyzed a total of 14,066 electronic dental records. Dental appointment adherence was categorized as attended or missed. Descriptive statistics and machine learning techniques, including conditional inference regression trees (CTree) and random forests (RFs), were employed for the analyses. RESULTS: About 31% of dental appointments were missed. Among the study population, appointments scheduled on Monday of the first week in the school year had the highest percentage of missed appointments, reaching up to 60%. Similarly, appointments scheduled on weeks 9, 10, 15-19, on Mondays, and with female dental students had slightly above 40% of missed appointments. The random forest analysis identified the week of the dental appointment, age, clinical day, and dental education level of students as the most influential variables in predicting dental appointment adherence. CONCLUSIONS: The most significant factors associated with a higher proportion of missed dental appointments were scheduled during specific weeks, on Mondays, with younger patients (<50 years), and with female dental students. Therefore, identifying these factors may assist healthcare providers and dental institutions in planning strategies to improve appointment attendance.

Dental Appointment Adherence Patterns in the College of Dentistry, King Saud Bin Abdulaziz University for Health Sciences: Insights From Electronic Dental Records.

Background The purpose of this study was to determine the pattern of dental appointment adherence in the College of Dentistry (COD), King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS).  Methodology The electronic dental record SALUD (Two-Ten Health, Dublin, Ireland; n = 15,193) was used in this cross-sectional study. The primary outcome measure was adherence to dental appointments, categorized as attended, canceled by the patient, canceled by the school, or missed. Other variables of interest were demographic and appointment-related factors. Descriptive statistics were used to describe patterns of dental appointments. In addition, the proportion of check-in time for dental appointments among those who attended was calculated. For requested dental appointments among dental specialties, we calculated the percentage of booked, canceled, and rejected appointment requests for each specialty and compared the proportions across specialties. Results The proportion of attended dental appointments was 70.92% (10,775), with 9.14% (1,388) of appointments being missed and 16.70% (2,537) being canceled. Approximately 54% (5,765) of dental appointments were checked in on time. Approximately 77% (10,115) of dental appointment requests were scheduled. Pedodontics and orthodontics had the most scheduled appointments, while restorative dentistry had the most appointment requests. Conclusions The utilization of data from electronic dental records revealed a low rate of missed dental appointments. Identifying those who were late or skipped appointments was critical to determining the possible causes.

Accuracy and precision of using partial-mouth recordings to study the prevalence, extent and risk associations of untreated periodontitis.

To study the accuracy and precision of estimating the prevalence, extent and associated risks of untreated periodontitis using partial-mouth recording protocols (PRPs) Methods: A purposive sample of 431 individuals who had never been treated for periodontal disease was recruited from screening clinics at the King Saud bin Abdul-Aziz University for Health Sciences. Data were collected using questionnaires and clinical examinations. The prevalence, extent and risk associations of periodontitis were evaluated. Three PRPs were compared to full-mouth recordings (FRPs) in terms of the sensitivity, specificity, predictive values, and absolute bias. Results: The prevalence of periodontitis was estimated with the highest accuracy and precision by examinations of the full mouth at the mesiobuccal and distolingual sites (FM)MB-DL, followed by random half-mouth (RHM) recordings. The extent of periodontitis was estimated with high precision using all the PRPs, and the absolute bias ranged from -0.6 to -2.3. The absolute bias indicated by OR for risk associations was small for the three PRPs and ranged from -0.8 to 0.8. Conclusion: (FM)MB-DL and RHM were the PRPs with moderate to high levels of accuracy and precision for estimating the prevalence and risk associations of periodontitis. The extent of periodontitis was estimated with high precision using all three PRPs. The results of this study showed that the magnitude and direction of bias were associated with the severity of periodontitis, the selected PRPs and the magnitude of the risk associations.

Accuracy of Estimating Periodontitis and Its Risk Association Using Partial-Mouth Recordings for Surveillance Studies: A Systematic Review and Meta-Analysis.

Objectives: Our aim is to conduct an up-to-date systematic review and meta-analysis pertaining to the accuracy of using the partial-mouth recording protocol (PRP) in surveillance studies to estimate the periodontitis prevalence, extent, severity, and its risk associations. Methods: Medline and Embase databases were searched for studies which assessed the periodontitis prevalence, severity, extent, or its risk associations using PRPs versus full-mouth recording protocols (FRPs); searches were conducted up until May 26, 2021. The risk of bias and the applicability of the studies were assessed using the QUADAS-2 tool. Both qualitative data synthesis and quantitative data synthesis were performed, and comparisons were done for the accuracy and precision of PRPs for different periodontitis outcomes. The study's protocol was registered through the International Platform of Registered Systematic Review and Meta-analysis Protocols (registration number: INPLASY202160032). Results: A total of 14 studies were included. The studies had a considerable degree of heterogeneity, along with a moderate risk of bias and applicability concerns. Several factors influenced the accuracy or precision of using PRPs, including the age, distribution of periodontitis in the studied population, PRP selection, total PRP sites, the threshold for minimum sites with CAL, and the severity of periodontitis case definitions. Overall, the PRP with the highest accuracy and precision mainly included (1) a full-mouth protocol at the following partial sites: mesiobuccal-midbuccal-distolingual (MB-B-DL), mesiobuccal-distolingual (MB-DL), mesiobuccal-midbuccal-distobuccal (MB-B-DB), mesiobuccal-distobuccal (MB-DB), and 84 sites using the random site selection method (RSSM) and (2) random-half-mouth (RHM) protocols. Conclusions: The PRPs with the highest overall accuracy and precision in estimating the periodontitis prevalence, extent, severity, and risk associations included the full-mouth assessment at the following partial sites: MB-B-DL, MB-DL, MB-B-DB, MB-DB, and 84 sites using RSSM and RHM protocols.

Periodontal disease prevalence, extent, and risk associations in untreated individuals.

OBJECTIVES: to examine the prevalence, extent, and risk associations of untreated periodontitis. MATERIALS AND METHODS: A purposive sample of subjects who were never treated for periodontal conditions was clinically examined after collecting information about their sociodemographic characteristics, medical conditions, oral health behaviors, perceived stress, and perceived social support. RESULTS: A total of 431 subjects were recruited (response rate, 97.0%), and their mean age (SD) was 35.4 (13.3) years. Overall, high plaque levels were observed in all untreated individuals. The prevalence of periodontitis and severe (stage III/IV) periodontitis using the American Academy of Periodontology and European Federation of Periodontology (AAP/EFP) classification were 85.4% and 48.5%, respectively. The prevalence of moderate-severe and severe periodontitis using the definitions of the Centers for Disease Control and Prevention (CDC) and AAP were 78.4% and 31.1%, respectively. The extent of periodontitis expressed as mean% of clinical attachment loss (CAL) ≥ 3 mm and CAL ≥ 5 mm were 34.9% and 14.4%, respectively, while the mean% of a periodontal probing depth (PPD) ≥4 mm and PPD ≥6 mm were 22.0% and 9.2%, respectively. Risk determinants associated with AAP/EFP periodontitis after the adjustment for other variables were age ≥35 years (odds ratio [OR] = 11.5) and lower income (OR = 2.5). Adjusted risk associations with stage II/IV periodontitis included age ≥35 years (OR = 8.2), males (OR = 2.5), lower income (OR = 2.3), and lower perceived stress (OR = 2.0). Adjusted risk associations with CDC/AAP moderate-severe periodontitis included age ≥35 years (OR = 12.0), lower income (OR = 2.1), and current cigarette smoking (OR = 4.2). Adjusted risk associations with CDC/AAP severe periodontitis included age ≥35 years (OR = 4.5), males (OR = 1.9), lower education (OR = 2.0), lower income (OR = 1.7), uncontrolled diabetes mellitus (OR = 2.0), and current cigarette smoking (OR = 2.3). CONCLUSIONS: The prevalence and extent of periodontitis were high in untreated subjects. Risk associations with untreated periodontitis included age ≥35 years, males, lower income, lower education, current cigarette smoking, uncontrolled diabetes mellitus, and lower perceived stress.

Optimization of cone beam computed tomography image quality in implant dentistry.

This study was conducted to optimize the cone beam computed tomography image quality in implant dentistry using both clinical and quantitative image quality evaluation with measurement of the radiation dose. A natural bone human skull phantom and an image quality phantom were used to evaluate the images produced after changing the exposure parameters (kVp and mA). A 10 × 5 cm2 field of view was selected for average adult. Five scans were taken with varying kVp (70-90 kVp) first at fixed 4 mA. After assessment of the scans and selecting the best kVp, nine scans were taken with 2-12 mA, and the kVp was fixed at the optimal value. A clinical assessment of the implant-related anatomical landmarks was done in random order by two blinded examiners. Quantitative image quality was assessed for noise/uniformity, artifact added value, contrast-to-noise ratio, spatial resolution, and geometrical distortion. A dosimetry index phantom and thimble ion chamber were used to measure the absorbed dose for each scan setting. The anatomical landmarks of the maxilla had good image quality at all kVp settings. To produce good quality images, the mandibular landmarks demanded higher exposure parameters than the maxillary landmarks. The quantitative image quality values were acceptable at all selected exposure settings. Changing the exposure parameters does not necessarily produce higher image quality outcomes but does affect the radiation dose to the patient. The image quality could be optimized for implant treatment planning at lower exposure settings and dose than the default settings.