Introduction: This study conducted a comparative analysis between two large data repositories, the All of Us (AoU) medical data and BigMouth dental data repositories.
Methods: The comparison analysis includes variables related to behavioral and systemic health, health literacy, and overall health status across race, ethnicity, and gender. The analytic approach used descriptive statistics, Chi-square, odds ratio, and 95% confidence intervals; significant comparisons were measured with Cohen's D effect sizes.
Big data has emerged as a pivotal asset in addressing oral health disparities in recent years. Big data encompasses the vast pool of health care-related biomedical information sourced from diverse channels, such as claims data, patient registries, and electronic health records (EHRs). This study is a critical review that synthesizes the evidence, identifies gaps in knowledge, and discusses future implications regarding big data analytics and oral health disparities.
View Article and Find Full Text PDFJDR Clin Trans Res
October 2024
The goal of this editorial and following supplement articles is to present different perspectives on the implementation of medical-dental-behavioral integration to provide comprehensive, whole-person care. Through a discussion of barriers to and opportunities that emerge from this type of integrated care, this editorial and supplement provide strong evidence for the importance, feasibility, and necessity of integrated health care and concept of overall health.
View Article and Find Full Text PDFHybrid populations of Africanized honey bees (-hybrids), notable for their defensive behaviour, have spread rapidly throughout South and North America since their unintentional introduction. Although their migration has slowed, the large-scale trade and movement of honey bee queens and colonies raise concern over the accidental importation of -hybrids to previously unoccupied areas. Therefore, developing an accurate and robust assay to detect -hybrids is an important first step toward mitigating risk.
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