Fluoride Content in Asian Produced Green Teas.

BACKGROUND: This study determined the fluoride content of green tea from various parts of Asia, where green tea originates. METHODS: We brewed 2.5 g each of 4 types of green tea (from China, South Korea, Japan and Sri Lanka) using deionized water heated to boiling. Water was cooled to 71°C, then tea was steeped for 2 minutes. This process was repeated 20 times, thus providing 20 samples for each tea type. In addition, 20 control samples of deionized water were brewed to the same specifications. Samples were analyzed using a fluoride probe, and statistical power was calculated. RESULTS: The tea samples from different countries varied in the amount of fluoride they contained. The Chinese sample contained the most fluoride, while the Japanese sample contained the least. Means and interquartile ranges of fluoride concentration were calculated for each sample: Sri Lanka 3.58 ppm (0.1425), Chinese 6.83 ppm (0.140), South Korean 5.36 ppm (0.0975), Japanese 1.88 ppm (0.1375) and control 0.33 ppm (0.0078). CONCLUSION: The origin of tea and environmental factors, such as pollution, groundwater, air and the soil in which it was grown appear to directly affect the amount of fluoride that accumulates in the plants. Considering the fluoride content revealed by this study, green tea consumption habits should be taken into account when prescribing adjunct fluoride therapy as part of a preventative program for patient care.

Exploratory analysis to enhance operational efficiency of new patient screenings.

OBJECTIVE: The aims of this study were to 1) evaluate patient demographic data for new patient exams (NPE) and 2) analyze lead response time for checked-in and no-show appointments in predoctoral clinics in a dental school. METHODS: The data for the study were collected from the predoctoral clinics at Tufts University School of Dental Medicine (TUSDM) for patients with NPE appointments with American Dental Association's (ADA) diagnostic code of D100. A total of 26,826 appointments and 24,419 unique patients were reviewed from January 1, 2015 to December 31, 2019. Patient demographic variables such as age, gender, zip codes, and lead response time were analyzed. RESULTS: From 26,826 total number of appointments, 10,454 appointments were categorized as no-show appointments (38.97%). In the no-show appointments, the sex distribution was 59.93% female and 40.07% male, and in checked-in category, the sex distribution was 53.75% female and 46.25% male. As the lead response time increased over 5 days, the no-show rate increased to 49.79%. Approximately 55% of the entire NPE was from Greater Boston area. CONCLUSION: The association between lead time and no-show rate was shown that when lead time was reduced, no-show rate decreased. By identifying the no-show appointments and lead time, schools and clinics can improve operational efficiency, reduce financial loss, and maintain continuation of care by supporting patients who need access to care and creating secondary automated recall system to maximize communication and chair use.

Special High-Risk Populations in Dentistry: The Adolescent Patient, the Elderly Patient, and the Woman of Childbearing Age.

Comprehensive and compassionate treatment of vulnerable patients is an important service to the community, although dental treatment of special populations can represent a challenge. The dental provider must be able to recognize the issues surrounding substance use and abuse, coordinate care with medical providers, and build a trusting provider-patient relationship to achieve success. Open conversations regarding expectations of pain, and the risks, benefits, and alternatives to opioids are important aspects of the best care of these patients.

Development of Short-Form Versions of the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R): A Proof-of-Principle Study.

BACKGROUND: The Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) is a 24-item questionnaire designed to assess risk of aberrant medication-related behaviors in chronic pain patients. The introduction of short forms of the SOAPP-R may save time and increase utilization by practitioners. OBJECTIVE: To develop and evaluate candidate SOAPP-R short forms. DESIGN: Retrospective study. SETTING: Pain centers. SUBJECTS: Four hundred and twenty-eight patients with chronic noncancer pain. METHODS: Subjects had previously been administered the full-length version of the SOAPP-R and been categorized as positive or negative for aberrant medication-related behaviors via the Aberrant Drug Behavior Index (ADBI). Short forms of the SOAPP-R were developed using lasso logistic regression. Sensitivity, specificity, and area under the curve (AUC) of all forms were calculated with respect to the ADBI using the complete data set, training-test analysis, and 10-fold cross-validation. The coefficient alpha of each form was also calculated. An external set of 12 pain practitioners reviewed the forms for content. RESULTS: In the complete data set analysis, a form of 12 items exhibited sensitivity, specificity, and AUC greater than or equal to those of the full-length SOAPP-R (which were 0.74, 0.67, and 0.76, respectively). The short form had a coefficient alpha of 0.76. In the training-test analysis and 10-fold cross-validation, it exhibited an AUC value within 0.01 of that of the full-length SOAPP-R. The majority of external practitioners reported a preference for this short form. CONCLUSIONS: The 12-item version of the SOAPP-R has potential as a short risk screener and should be tested prospectively.

Shortening the Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R): A Proof-of-Principle Study for Customized Computer-Based Testing.

BACKGROUND: The Screener and Opioid Assessment for Patients with Pain-Revised (SOAPP-R) is a 24-item self-report instrument that was developed to aid providers in predicting aberrant medication-related behaviors among chronic pain patients. Although the SOAPP-R has garnered widespread use, certain patients may be dissuaded from taking it because of its length. Administrative barriers associated with lengthy questionnaires further limit its utility. OBJECTIVE: To investigate the extent to which two techniques for computer-based administration (curtailment and stochastic curtailment) reduce the average test length of the SOAPP-R without unduly affecting sensitivity and specificity. DESIGN: Retrospective study. SETTING: Pain management centers. SUBJECTS: Four hundred and twenty-eight chronic non-cancer pain patients. METHODS: Subjects had taken the full-length SOAPP-R and been classified by the Aberrant Drug Behavior Index (ADBI) as having engaged or not engaged in aberrant medication-related behavior. Curtailment and stochastic curtailment were applied to the data in post-hoc simulation. Sensitivity and specificity with respect to the ADBI, as well as average test length, were computed for the full-length test, curtailment, and stochastic curtailment. RESULTS: The full-length SOAPP-R exhibited a sensitivity of 0.745 and a specificity of 0.671 for predicting the ADBI. Curtailment reduced the average test length by 26% while exhibiting the same sensitivity and specificity as the full-length test. Stochastic curtailment reduced the average test length by as much as 65% while always exhibiting sensitivity and specificity for the ADBI within 0.035 of those of the full-length test. CONCLUSIONS: Curtailment and stochastic curtailment have potential to improve the SOAPP-R's efficiency in computer-based administrations.