Seirawan Hazem
University of Southern California School of Dentistry, Los Angeles, CA, USA.
Community Dent Oral Epidemiol. 2008 Oct;36(5):401-8. doi: 10.1111/j.1600-0528.2007.00420.x.
To analyze the prevalence of dental visits within the last year in the Behavioral Risk Factor Surveillance System or BRFSS (2003) national database by simple sociodemographic factors, and to predict prevalence in States that have not participated in BRFSS 2003.
Behavioral Risk Factor Surveillance System is a cross-sectional telephone survey conducted by the state-level authorities in the United States and based on a standardized questionnaire to determine the distribution of risk behaviors and health practices among noninstitutionalized adults. A multivariable logistic regression model considers the complex sample design of the BRFSS was used to predict the prevalence of dental visits based on four nonclinic parsimonious variables.
White race, high income (>or=$35 000), education above high school, and marital status were associated with an annual dental visit with odds ratios of 1.38, 2.09, 1.61, and 1.18, respectively. Utah had the highest percentage (78%) of estimated annual users, while 'Virgin Islands' had the lowest percentage (59%). The model's correct classification rate was 61.5%.
State and local governments, health promotion organizations, insurance companies, and organizations that administer public health programs (such as Medicare and Medicaid in the U.S.) will benefit by applying this model to the available nonclinical databases, and will be able to improve planning of dental health services and required dental workforce.
通过简单的社会人口统计学因素分析行为危险因素监测系统（BRFSS，2003）国家数据库中过去一年的牙科就诊率，并预测未参与2003年BRFSS的州的就诊率。
行为危险因素监测系统是美国州级当局开展的一项横断面电话调查，基于标准化问卷确定非机构化成年人中危险行为和健康行为的分布情况。使用考虑了BRFSS复杂样本设计的多变量逻辑回归模型，基于四个非临床简约变量预测牙科就诊率。
白人种族、高收入（≥35000美元）、高中以上学历和婚姻状况与每年的牙科就诊相关，比值比分别为1.38、2.09、1.61和1.18。犹他州估计每年就诊者的比例最高（78%），而美属维尔京群岛最低（59%）。该模型的正确分类率为61.5%。
州和地方政府、健康促进组织、保险公司以及管理公共卫生项目的组织（如美国的医疗保险和医疗补助）通过将此模型应用于可用的非临床数据库将有所获益，并能够改善牙科保健服务规划和所需的牙科劳动力。
