Patient Awareness Of Association Of Diabetes And Periodontal Disease

Neel Shimpi,Ingrid Glurich, Dixie Schroeder, Callahan Katrak,Po-Huang Chyou,Amit Acharya

HEALTH PROMOTION PRACTICE(2020)

引用 7|浏览14
暂无评分
摘要
This cross-sectional study sought to assess the current awareness, knowledge, and behavior regarding diabetes mellitus (DM) and periodontal disease (PD) association among a convenience sample of patients from a large Wisconsin-based integrated medical-dental health care organization serving largely rurally based communities. An anonymous 10-question survey was distributed at regional medical and dental centers of dental and medical clinics of a single health care institution over a 4-week period, to achieve a cross-sectional sampling of patients aged 18 to 80 years. Among 946 respondents, 616 were female. Patient-reported periodicity for dental visits was highest between 6 months and 1 year (56.4%). Respondents reporting "poor-fair" knowledgeability surrounding DM-PD association correlated with highest interest in learning more about DM-PD relationship (p <.0001). While over 80% of respondents correctly answered questions about gum disease symptomology and contribution of oral health practices on diabetes prevention, only 51% knew that PD affected blood sugar control. Willingness to comply with medical screening conducted by dental providers for diseases affecting oral health was indicated by 44% of respondents (p < .0001). Study results indicated that knowledgeability levels among patients surrounding the effect of PD on DM needed improvement. Strategic educational interventions targeting improved health literacy among patients may further promote prevention of DM-PD complications. Health literacy gaps remain to be addressed in patient understanding of the importance of detecting and managing dysglycemia for maintenance of periodontal health, creating opportunities for patient education.
更多
查看译文
关键词
health literacy, health promotion, oral health, patient education, surveys, quantitative evaluation, rural health
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要