Faculty of Dentistry, University of Toronto, Toronto, Canada.
Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
J Public Health Dent. 2017 Sep;77(4):295-301. doi: 10.1111/jphd.12205. Epub 2017 Feb 13.
To describe the validity and diagnostic accuracy of self-reported data compared with clinically assessed data for the ascertainment of clinical dental treatment needs in the Canadian population.
A secondary analysis of data from the Canadian Health Measures Survey (2007-2009) was undertaken. Clinical treatment needs were classified into preventive and diagnostic, restorative, endodontic, periodontic, surgical, and orthodontic categories. Sensitivity, specificity, positive and negative predictive values (NPVs), kappa statistics and likelihood ratios (LR) were calculated to compare self-reported and clinically determined needs. Survey weights were applied to generate nationally representative findings of the Canadian population.
Generally across most dental need categories, agreement between self-reported and clinically-determined dental need was found to be moderate to poor (kappa <0.6). For most needs, self-reported data was found to be highly specific (>90 percent) but not very sensitive. Low positive (<60 percent) and high NPVs (>80 percent) revealed that self-reported information was found to be more precise in reassuring when most dental needs were not present, opposed to confirming needs that were required. High positive LRs were obtained for endodontic (+LR = 12.15) and orthodontic needs (+LR = 14.82), indicating good diagnostic accuracy of positive self-report for these outcomes.
Our findings suggest that in general, self-reports are poor estimates for normative dental treatment needs but do have some merit in confirming non-needs. Exceptionally, self-reports do have suitable diagnostic accuracy for predicting orthodontic and endodontic needs.
描述与临床评估数据相比,自我报告数据在确定加拿大人群临床牙科治疗需求方面的有效性和诊断准确性。
对加拿大健康测量调查(2007-2009 年)的数据进行二次分析。临床治疗需求分为预防和诊断、修复、牙髓、牙周、手术和正畸类别。计算敏感性、特异性、阳性和阴性预测值(NPV)、kappa 统计和似然比(LR),以比较自我报告和临床确定的需求。应用调查权重生成加拿大人口的全国代表性发现。
总体而言,在大多数牙科需求类别中,自我报告和临床确定的牙科需求之间的一致性被发现为中等至较差(kappa<0.6)。对于大多数需求,自我报告数据被发现具有很高的特异性(>90%),但敏感性不高。低阳性率(<60%)和高 NPV(>80%)表明,自我报告信息在大多数牙科需求不存在时更精确,而不是确认需要。对于牙髓和正畸需求,获得了高阳性 LR(+LR=12.15 和+LR=14.82),表明阳性自我报告对这些结果具有良好的诊断准确性。
我们的研究结果表明,总体而言,自我报告是对规范牙科治疗需求的粗略估计,但在确认非需求方面确实具有一定价值。特殊情况下,自我报告对于预测正畸和牙髓需求具有适当的诊断准确性。