Calibration of Self-Reported Oral Health to Clinically Determined Standard

描述(申请人提供)：口腔健康对一个人的整体健康至关重要，但牙科问题和口腔疾病的发病率和流行率仍然相当高。统计数据显示，严重的牙周病影响着近15%的成年人，很大一部分成年人至少表现出一些牙周病的迹象。此外，初步证据还表明，口腔健康通过血液循环等多种途径与系统性疾病密切相关；由于临床接触的过程和程序涉及的复杂性以及医疗保健总成本的增加，牙科检查和治疗更加复杂和昂贵。现实情况是，服务不足的人口没有能力确定通常的护理来源，缺乏支持提供护理的牙科保险，并受到相互竞争的需求的负担。自我报告是获得患者健康结果的最有效、非侵入性和成本效益高的方法，将是评估口腔健康状况的理想方法，特别是在人口众多的口腔健康筛查中。然而，由于个人认知、文化背景、与现有系统性疾病的优先顺序竞争以及对口腔健康重要性的理解程度等因素，自我报告的口腔健康状况往往与临床确定的口腔健康状况有很大不同。自我报告的口腔健康状况和临床确定的口腔健康状况之间的这种差异严重限制了自我报告的口腔健康在牙科检查、治疗、预防和研究中的直接使用。因此，能够利用和校准自我报告的口腔健康措施来临床确定口腔健康标准的方法和工具在牙科保健中将特别有价值。为了创建这些有用的工具，我们建议使用国家健康和营养检查调查(NHANES)具有代表性的口腔健康数据来：(1)评估自报口腔健康、临床确定的口腔健康和总体总体健康的分布；(2)评估上述健康指标之间的关系以及这些指标与学科特征之间的关系；(3)建立能够客观、完整地测量口腔健康的自我报告和临床评估的综合指标；(3)分析自报和临床确定的口腔健康之间的差异，并确定这些差异的决定因素；以及(4)创建和选择能够将自我报告的口腔健康校准到临床确定的口腔健康标准的最佳校准模型和工具。项目描述：使用具有全国代表性的口腔健康数据，本研究检查了自我报告的口腔健康和临床确定的口腔健康之间的差异，确定了差异的决定因素，并创建了模型和工具，可以将自我报告的口腔健康措施校准为临床确定的标准。本研究中创建的模型和工具将在联邦、州和地方口腔健康筛查计划、牙齿预防和大人口研究中特别有用，并可以节省大量的牙齿护理资源。

DESCRIPTION (provided by applicant): Oral health is vital to a person's overall health, and yet the incidence and prevalence of dental problems and oral diseases remain quite high. Statistics show that severe gum disease affects almost 15% of adults, and a large proportion of adults show at least some signs of gum disease. Furthermore, preliminary evidence also indicates that oral health is closely related to systemic diseases through a number of routes such as blood circulation; due the complexity involved with the process and procedures of clinical encounters and the increasing overall costs of health care, dental exam and treatment are more complicated and expensive. The reality is that underserved populations do not have the ability to identify a usual source of care, lack dental insurance to support the provision of care, and are burdened by competing needs. Self-report is the most efficient, non-invasive and cost-effective method for obtaining patient health outcomes and would be ideal for evaluating oral health status, particularly for oral health screening with large populations. However, due to factors such as personal perceptions, cultural background, competing priorities with existing systemic diseases, and the level of understanding of the importance of oral health, self-reported oral health status often differs significantly from clinically determined oral health status. This discrepancy between self-reported and clinically determined oral health status severely limits the direct use of self-reported oral health in dental examination, treatment, prevention, and research. Therefore, methods and tools that can leverage and calibrate self- reported oral health measures to clinically determine oral health standards would be particularly valuable in dental care. To create such useful tools, we propose to use the nationally representative oral health data of National Health and Nutrition Examination Survey (NHANES) to: (1) evaluate the distribution of self-reported oral health, clinically determined oral health, and general overall health; (2) evaluate the relationship between the aforementioned health measures as well as the relationship between those measures and subject characteristics; (3) create summarized indices for self-report and clinical assessment that can objectively and completely measure oral health; (3) analyze the discrepancies between self-reported and clinically determined oral health and identify the determinants of these discrepancies; and (4) create and select optimal calibration models and tools that can calibrate self-reported oral health to the standard of clinically determined oral health. Project Narrative: Using nationally representative oral health data, this study examines the discrepancy between self-reported and clinically determined oral health, identifies the determinants of the discrepancy, and creates models and tools that can calibrate self-reported oral health measures to clinically determined standards. The models and tools created in this study will be particularly useful in federal, state and local oral health screening programs, dental prevention and research with large populations, and can save a significant amount of resources in dental care.