Calibration of self-reported oral health to clinically determined standards
Calibration of self-reported oral health to clinically determined standards
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DOI：
10.1111/j.1600-0528.2010.00562.x
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发表时间：
2010-12-01
影响因子：
2.3
通讯作者：
Marcus, Marvin
中科院分区：
文献类型：
--
作者：
Liu, Honghu;Maida, Carl A.;Marcus, Marvin
目的：口腔健康自评是评价个体口腔健康状况的一种廉价方法，但它受个人观点的影响较大，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，我们总结了临床决定的口腔健康指标，这些措施可以客观地测量口腔健康，并评估自我报告和临床确定的口腔健康状态之间的差异。我们测试了协变量之间的趋势假设，从而创建了最优的校准模型和工具，可以将自我报告的口腔健康调整到临床确定的标准。方法：使用国家健康和营养检查调查(NHANES)数据，我们检验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。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，例如患者的特征和一般健康状况。我们使用回归方法建立了口腔健康自报告的校正模型。结果：口腔健康自报告与临床确定的口腔健康之间的关系复杂。结论：我们开发的模型可用于将口腔健康状况自我报告调整为临床确定的标准，并用于联邦、州和地方项目中对大量人群的口腔健康筛查，从而节省了大量用于牙科保健的资源。
Objective: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.Methods: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.Results: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.Conclusion: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.