"I'm Torn": Qualitative Analysis of Dental Practitioner-Perceived Barriers, Facilitators, and Solutions to HPV Vaccine Promotion.

The human papillomavirus (HPV) vaccine can prevent HPV-related oropharyngeal cancers. Dental practitioners are uniquely positioned to promote HPV vaccines during routine dental care but experience barriers to doing so. Qualitative interviews were conducted with dental practitioners to understand barriers and inform intervention strategies to promote HPV vaccines.

Periodontal treatment and subsequent clinical outcomes and medical care costs: A retrospective cohort study.

Introduction: Periodontitis is a common oral disease associated with coronary artery disease (CAD), cerebrovascular disease (CBVD) and type 2 diabetes (T2D). We studied if periodontitis treatment improves clinical outcomes and reduces medical care costs in patients with CAD, CBVD or T2D.

Methods: We used clinic records and claims data from a health care system to identify patients with periodontitis and CAD, CBVD or T2D, and to assess periodontal treatments, hospitalizations, medical costs (total, inpatient, outpatient, pharmacy), glycated hemoglobin, cardiovascular events, and death following concurrent disease diagnoses.

Bayesian Network Meta-analysis of Multiple Outcomes in Dental Research.

Objectives: Dental research typically targets multiple outcomes. Interdental cleaning devices such as interdental brushes (IB) and water jet devices (WJ) share a sizable portion of the medical device market. However, recommendations for device selection are limited by the conflicting evidence from multiple outcomes in available studies and the lack of an appropriate synthesis approach to summarize evidences taken from multiple outcomes.

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.