Developing Children's Oral Health Assessment Toolkits Using Machine Learning Algorithm.

OBJECTIVES: Evaluating children's oral health status and treatment needs is challenging. We aim to build oral health assessment toolkits to predict Children's Oral Health Status Index (COHSI) score and referral for treatment needs (RFTN) of oral health. Parent and Child toolkits consist of short-form survey items (12 for children and 8 for parents) with and without children's demographic information (7 questions) to predict the child's oral health status and need for treatment. METHODS: Data were collected from 12 dental practices in Los Angeles County from 2015 to 2016. We predicted COHSI score and RFTN using random Bootstrap samples with manually introduced Gaussian noise together with machine learning algorithms, such as Extreme Gradient Boosting and Naive Bayesian algorithms (using R). The toolkits predicted the probability of treatment needs and the COHSI score with percentile (ranking). The performance of the toolkits was evaluated internally and externally by residual mean square error (RMSE), correlation, sensitivity and specificity. RESULTS: The toolkits were developed based on survey responses from 545 families with children aged 2 to 17 y. The sensitivity and specificity for predicting RFTN were 93% and 49% respectively with the external data. The correlation(s) between predicted and clinically determined COHSI was 0.88 (and 0.91 for its percentile). The RMSEs of the COHSI toolkit were 4.2 for COHSI (and 1.3 for its percentile). CONCLUSIONS: Survey responses from children and their parents/guardians are predictive for clinical outcomes. The toolkits can be used by oral health programs at baseline among school populations. The toolkits can also be used to quantify differences between pre- and post-dental care program implementation. The toolkits' predicted oral health scores can be used to stratify samples in oral health research. KNOWLEDGE TRANSFER STATEMENT: This study creates the oral health toolkits that combine self- and proxy- reported short forms with children's demographic characteristics to predict children's oral health and treatment needs using Machine Learning algorithms. The toolkits can be used by oral health programs at baseline among school populations to quantify differences between pre and post dental care program implementation. The toolkits can also be used to stratify samples according to the treatment needs and oral health status.

Child and Parent Demographic Characteristics and Oral Health Perceptions Associated with Clinically Measured Oral Health.

OBJECTIVE: To examine child and parent reports about the child's oral health and assess the associations of these reports with clinical assessments of oral health status by dental examiners. METHODS: Surveys with 139 items for children and 133 items for parents were administered by Audio Computer-Assisted Self-Interview Software. In addition, the Children's Oral Health Status Index (COHSI) was computed from a dental examination. RESULTS: A total of 334 families with children ages 8 to 17 y participated at 12 dental practices in Los Angeles County. Ordinary least squares regression models were estimated separately for child and parent surveys to identify items uniquely associated with the COHSI. Ten of 139 items the children reported regarding their oral health were associated with the COHSI. The strongest associations were found for child's age, aesthetic factors (straight teeth and pleased with teeth), and cognitive factors related to perception of dental appearance (pleased/happy with the look of the child's mouth, teeth, and jaws). Nine of 133 parent items about the child's oral health were associated with the COHSI in the parent model, notably being a single parent, parent's gender, parent born in the United States, pleased or happy with the look of their child's teeth, and accessing the Internet. CONCLUSION: These child and parent survey items have potential to be used to assess oral health status for groups of children in programs and practices in lieu of dental screenings. KNOWLEDGE TRANSLATION STATEMENT: The paper's results inform the development of a toolkit that can be used by schools, public health agencies, and dental programs to identify children with low oral health status based on parents' and children's responses to survey items across demographic, physical, mental, and social domains. These survey items can be used to inform parents of the desirability of proactively addressing inadequacies in their child's oral health status, enabling them to more rationally address dental needs.

Professional satisfaction among California general dentists.

Dentists' assessments of their jobs provide insights about issues in the dental profession needing attention. This study assessed professional satisfaction among 558 California general dentists using the 54-item, multi-faceted Dentist Satisfaction Survey (DSS). Although dentists tended to be satisfied with various facets of their jobs and careers, substantial variation in the levels of satisfaction was noted. The most satisfied dentists were older, reported higher incomes, attended more continuing education, and employed more dental auxiliaries than dentists who were the most dissatisfied. Fifty-eight percent of the variation in overall job satisfaction was explained by quality of nonwork life and satisfaction with five facets of the profession: respect received from being a dentist, the actual process of delivering care, income derived from dentistry, relationships with patients, and reduced levels of job-related stress. Dentists were most dissatisfied with the threat of malpractice, level of income, demands of managing the practice, and amount of personal time. Professional organizations should direct programs to address these issues. Dental educators should use these findings to counsel predoctoral students about the realities of dental practice and as an outcome measure of their programs. Moreover, these findings document the perceptions of the practicing profession and support several components of the SELECT recruitment strategy.

Development of an instrument to measure job satisfaction among dentists.

Because of the rapid changes that have occurred in the dental profession, the Dentist Satisfaction Survey (DSS) was developed to assess both facet and overall job satisfaction among dentists. The DSS was administered to a sample of 558 California general dentists. The results suggest that the DSS is a practical, reliable, and valid measure of dentists' job satisfaction. Internal consistency reliability coefficients for all facet subscales and the overall job satisfaction scale ranged from 0.60-0.92. The DSS discriminated between groups of dentists known to have different levels of job satisfaction; dentists identified by dental society presidents as being very dissatisfied scored significantly differently in the hypothesized direction on the DSS. A high correlation (r = 0.68) was found between judges' independent ratings of dentists' satisfaction based on their open-ended comments and DSS scores. While the majority of respondents were satisfied with most facets of their jobs, substantial variation was found among dentists in their levels of satisfaction.

Associations of symptoms and health-related quality of life: findings from a national study of persons with HIV infection.

BACKGROUND: Health-related quality of life refers to how well people are able to perform daily activities (functioning) and how they feel about their lives (well-being). The relationship between symptoms and health-related quality of life has not been fully explored. OBJECTIVE: To estimate the association of HIV symptoms with health-related quality of life and with disability days. DESIGN: Prospective cohort study. SETTING: HIV providers in 28 urban and 24 rural randomly selected sites throughout the United States. PATIENTS: Nationally representative sample of 2267 adults with known HIV infection who were interviewed in 1996 and again between 1997 and 1998. MEASUREMENTS: Symptoms, two single-item global measures of health-related quality of life (perceived health and perceived quality of life), and disability days. RESULTS: White patches in the mouth; nausea or loss of appetite; persistent cough, difficulty breathing, or difficulty catching one's breath; and weight loss were associated with more disability days and worse scores on both health-related quality-of-life measures. Headache; pain in the mouth, lips, or gums; dry mouth; and sinus infection, pain, or discharge were associated with worse perceived health. Pain in the mouth, lips, or gums; trouble with eyes; pain, numbness, or tingling of hands or feet; and diarrhea or loose or watery stools were associated with worse perceived quality of life. Headache and fever, sweats, or chills were associated with more disability days. CONCLUSIONS: Several symptoms are associated with worse health-related quality of life and more disability days in persons with HIV infection. In such patients, targeting specific symptoms may improve health-related quality of life and reduce disability.