SMARTp: A SMART design for nonsurgical treatments of chronic periodontitis with spatially referenced and nonrandomly missing skewed outcomes.

This paper proposes dynamic treatment regimes (DTRs) as effective individualized treatment strategies for managing chronic periodontitis. The proposed DTRs are studied via SMARTp-a two-stage sequential multiple assignment randomized trial (SMART) design. For this design, we propose a statistical analysis plan and a novel cluster-level sample size calculation method that factors in typical features of periodontal responses such as non-Gaussianity, spatial clustering, and nonrandom missingness. Here, each patient is viewed as a cluster, and a tooth within a patient's mouth is viewed as an individual unit inside the cluster, with the tooth-level covariance structure described by a conditionally autoregressive structure. To accommodate possible skewness and tail behavior, the tooth-level clinical attachment level (CAL) response is assumed to be skew-t, with the nonrandomly missing structure captured via a shared parameter model corresponding to the missingness indicator. The proposed method considers mean comparison for the regimes with or without sharing an initial treatment, where the expected values and corresponding variances or covariance for the sample means of a pair of DTRs are derived by the inverse probability weighting and method of moments. Simulation studies are conducted to investigate the finite-sample performance of the proposed sample size formulas under a variety of outcome-generating scenarios. An R package SMARTp implementing our sample size formula is available at the Comprehensive R Archive Network for free download.

A community-based oral public health approach to promote health equity.

OBJECTIVES: We explored the interrelationships among diabetes, hypertension, and missing teeth among underserved racial/ethnic minority elders. METHODS: Self-reported sociodemographic characteristics and information about health and health care were provided by community-dwelling ElderSmile participants, aged 50 years and older, who took part in community-based oral health education and completed a screening questionnaire at senior centers in Manhattan, New York, from 2010 to 2012. RESULTS: Multivariable models (both binary and ordinal logistic regression) were consistent, in that both older age and Medicaid coverage were important covariates when self-reported diabetes and self-reported hypertension were included, along with an interaction term between self-reported diabetes and self-reported hypertension. CONCLUSIONS: An oral public health approach conceptualized as the intersection of 3 domains-dentistry, medicine, and public health-might prove useful in place-based assessment and delivery of services to underserved older adults. Further, an ordinal logit model that considers levels of missing teeth might allow for more informative and interpretable results than a binary logit model.

Tooth loss and dental caries in community-dwelling older adults in northern Manhattan.

OBJECTIVE: To examine tooth loss and dental caries by sociodemographic characteristics from community-based oral health examinations conducted by dentists in northern Manhattan. BACKGROUND: The ElderSmile programme of the Columbia University College of Dental Medicine serves older adults with varying functional capacities across settings. This report is focused on relatively mobile, socially engaged participants who live in the impoverished communities of Harlem and Washington Heights/Inwood in northern Manhattan, New York City. MATERIALS AND METHODS: Self-reported sociodemographic characteristics and health and health care information were provided by community-dwelling ElderSmile participants aged 65 years and older who took part in community-based oral health education and completed a screening questionnaire. Oral health examinations were conducted by trained dentists in partnering prevention centres among ElderSmile participants who agreed to be clinically screened (90.8%). RESULTS: The dental caries experience of ElderSmile participants varied significantly by sociodemographic predictors and smoking history. After adjustment in a multivariable logistic regression model, older age, non-Hispanic Black and Hispanic race/ethnicity, and a history of current or former smoking were important predictors of edentulism. CONCLUSION: Provision of oral health screenings in community-based settings may result in opportunities to intervene before oral disease is severe, leading to improved oral health for older adults.

Does Medicaid Coverage Modify the Relationship between Glycemic Status and Teeth Present in Older Adults?

Understanding the relationships among diabetes, teeth present, and dental insurance is essential to improving primary and oral health care. Participants were older adults who attended senior centers in northern Manhattan (New York, N.Y.). Sociodemographic, health, and health care information were obtained via intake interviews, number of teeth present via clinical dental examinations, and glycemic status via measurement of glycosylated hemoglobin (HbA1c). Complete data on dental insurance coverage status for 785 participants were available for analysis (1,015 after multiple imputation). For participants with no dental insurance and any private/other dental insurance, number of teeth present is less for participants with diabetes than for participants without diabetes; however, for participants with Medicaid coverage only, the relationship is reversed. Potential explanations include the limited range of dental services covered under the Medicaid program, inadequate diabetes screening and monitoring of Medicaid recipients, and the poor oral and general health of Medicaid recipients.

Modeling social dimensions of oral health among older adults in urban environments.

In both developed and developing countries, population aging has attained unprecedented levels. Public health strategies to deliver services in community-based settings are key to enhancing the utilization of preventive care and reducing costs for this segment of the population. Motivated by concerns of inadequate access to oral health care by older adults in urban environments, this article presents a portfolio of systems science models that have been developed on the basis of observations from the ElderSmile preventive screening program operated in northern Manhattan, New York City, by the Columbia University College of Dental Medicine. Using the methodology of system dynamics, models are developed to explore how interpersonal relationships influence older adults' participation in oral health promotion. Feedback mechanisms involving word of mouth about preventive screening opportunities are represented in relation to stocks that change continuously via flows, as well as agents whose states of health care utilization change discretely using stochastic transitions. Agent-based implementations illustrate how social networks and geographic information systems are integrated into dynamic models to reflect heterogeneous and proximity-based patterns of communication and participation in the ElderSmile program. The systems science approach builds shared knowledge among an interdisciplinary research team about the dynamics of access to opportunities for oral health promotion. Using "what if" scenarios to model the effects of program enhancements and policy changes, resources may be effectively leveraged to improve access to preventive and treatment services. Furthermore, since oral health and general health are inextricably linked, the integration of services may improve outcomes and lower costs.

What contributes to self-rated oral health among community-dwelling older adults? Findings from the ElderSmile program.

OBJECTIVES: As part of ongoing efforts by the Columbia University College of Dental Medicine to devise community-based models of health promotion and care for local residents, we sought to answer the following query: "What contributes to self-rated oral health among community-dwelling older adults?" METHODS: The present study is cross sectional in design and centrally concerned with baseline data collected during community-based screenings of adults aged 50 years and older who agreed to participate in the ElderSmile program in northern Manhattan, New York City. The primary outcome measure of interest is self-rated oral health, which was assessed as follows: "Overall, how would you rate the health of your teeth and gums - excellent, good, fair, or poor?" RESULTS: More than a quarter (28.5 percent) of ElderSmile participants aged 50 years and older reported that their oral health was poor. After adjustment for age (in years), place of birth, educational level, and dental insurance status in a logistic regression model, recent visits to the dentist (within the past year versus more than a year ago) contributed to better self-rated oral health and non-Hispanic Black race/ethnicity, dentate (versus edentulous) status, tooth decay as measured by decayed missing filled teeth, and severe periodontal inflammation contributed to worse self-rated oral health in this population. CONCLUSIONS: Recent dental care contributed to better self-rated oral health among community-dwelling older adults living in northern Manhattan. Significant gradients were evident in the caries experience and periodontal inflammation of dentate adults by self-rated oral health, suggesting that untreated oral disease contributes to poor self-rated oral health.