Division of Public Health and Community Dentistry, UCLA School of Dentistry, Los Angeles, CA 90095-1668,USA.
Community Dent Oral Epidemiol. 2010 Dec;38(6):527-39. doi: 10.1111/j.1600-0528.2010.00562.x.
Self-report of oral health is an inexpensive approach to assessing an individual's oral health status, but it is heavily influenced by personal views and usually differs from that of clinically determined oral health status. To assist researchers and clinicians in estimating oral health self-report, we summarize clinically determined oral health measures that can objectively measure oral health and evaluate the discrepancies between self-reported and clinically determined oral health status. We test hypotheses of trends across covariates, thereby creating optimal calibration models and tools that can adjust self-reported oral health to clinically determined standards.
Using National Health and Nutrition Examination Survey (NHANES) data, we examined the discrepancy between self-reported and clinically determined oral health. We evaluated the relationship between the degree of this discrepancy and possible factors contributing to this discrepancy, such as patient characteristics and general health condition. We used a regression approach to develop calibration models for self-reported oral health.
The relationship between self-reported and clinically determined oral health is complex. Generally, there is a discrepancy between the two that can best be calibrated by a model that includes general health condition, number of times a person has received health care, gender, age, education, and income.
The model we developed can be used to calibrate and adjust self-reported oral health status to that of clinically determined standards and for oral health screening of large populations in federal, state, and local programs, enabling great savings in resources used in dental care.
自我报告的口腔健康状况是评估个体口腔健康状况的一种廉价方法,但它受到个人观点的严重影响,通常与临床确定的口腔健康状况不同。为了帮助研究人员和临床医生评估口腔健康自我报告,我们总结了可以客观测量口腔健康的临床确定的口腔健康测量方法,并评估了自我报告的口腔健康状况与临床确定的口腔健康状况之间的差异。我们检验了协变量趋势的假设,从而创建了可以将自我报告的口腔健康调整为临床确定标准的最佳校准模型和工具。
使用国家健康和营养检查调查(NHANES)数据,我们检查了自我报告和临床确定的口腔健康之间的差异。我们评估了这种差异的程度与可能导致这种差异的因素之间的关系,例如患者特征和一般健康状况。我们使用回归方法为自我报告的口腔健康开发了校准模型。
自我报告和临床确定的口腔健康之间的关系很复杂。一般来说,两者之间存在差异,可以通过包括一般健康状况、个人接受医疗保健的次数、性别、年龄、教育程度和收入在内的模型来最佳校准。
我们开发的模型可用于校准和调整自我报告的口腔健康状况,以达到临床确定的标准,并可用于联邦、州和地方计划中对大量人群进行口腔健康筛查,从而大大节省了在牙科保健中使用的资源。