Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, NSW, 1871, Australia.
Ingham Institute for Applied Medical Research, Liverpool, NSW, 1871, Australia.
BMC Prim Care. 2022 Aug 11;23(1):202. doi: 10.1186/s12875-022-01798-5.
People with poorly managed diabetes are at greater risk of periodontal disease. Periodontal disease that is not effectively managed can affect glycaemic levels. Diabetes care providers, including general practitioners and diabetes educators, are encouraged to promote oral health of their clients. However, valid and reliable oral health screening tools that assess the risk of poor oral health, that are easy to administer among non-dental professionals, currently do not exist. Existing screening tools are difficult to incorporate into routine diabetes consultations due to their length. Thus, this study aimed to develop and pilot a short oral health screening tool that would identify risk of existing oral diseases and encourage appropriate referrals to the dental service.
A three-item screening tool was developed after a comprehensive review of the literature and consensus from an expert panel. The tool was then piloted as part of a larger cross-sectional survey of 260 adults with diabetes who were accessing public diabetes clinics at two locations in Sydney, Australia. As part of the survey, participants completed the three-item screening tool and a 14-item validated tool, the Oral Health Impact Profile (OHIP-14), which has been used previously in the preliminary validation of screening tools. Sensitivity and specificity analyses were then undertaken comparing the results of the two tools.
A statistically significant correlation was found between the shorter screening tool and the OHIP-14 (rho = 0.453, p < 0.001), indicating adequate validity. The three-item tool had high sensitivity (90.5%, 95% CI 84.9%, 94.7%), with a specificity of 46.3% (95% CI 37.7%, 55.2%). The negative predictive value was 81.4% (95% CI 71.3, 89.3). No single item performed as well regarding sensitivity and negative predictive value when compared to the three items collectively.
The three-item screening tool developed was found to be valid and sensitive in identifying risk of poor oral health, requiring oral health referrals, among people with diabetes in this pilot. This is a simple, accessible tool that diabetes care providers could incorporate into their routine consultations. Further validation against comprehensive dental assessments is needed to reassess the tool's specificity and sensitivity in diverse settings.
糖尿病控制不佳的人群患牙周病的风险更高。未经有效治疗的牙周病会影响血糖水平。鼓励包括全科医生和糖尿病教育者在内的糖尿病护理提供者促进其患者的口腔健康。然而,目前尚不存在评估口腔健康不良风险的有效和可靠的口腔健康筛查工具,且这些工具易于非牙科专业人员操作。现有的筛查工具由于篇幅较长,难以纳入常规的糖尿病咨询。因此,本研究旨在开发并试点一种简短的口腔健康筛查工具,以确定现有口腔疾病的风险,并鼓励将患者转介至牙科服务机构。
在对文献进行全面回顾和专家小组达成共识后,开发了一个三项目的筛查工具。然后,该工具作为在澳大利亚悉尼两个地点的两个公共糖尿病诊所就诊的 260 名糖尿病患者的更大横断面调查的一部分进行了试点。作为调查的一部分,参与者完成了三项目筛查工具和已在先前的筛查工具初步验证中使用的 14 项经验证工具,即口腔健康影响简表(OHIP-14)。然后进行了敏感性和特异性分析,比较了这两种工具的结果。
较短的筛查工具与 OHIP-14 之间存在统计学显著相关性(rho=0.453,p<0.001),表明具有足够的有效性。三项目工具具有较高的敏感性(90.5%,95%CI 84.9%,94.7%),特异性为 46.3%(95%CI 37.7%,55.2%)。阴性预测值为 81.4%(95%CI 71.3%,89.3%)。与三项指标的综合结果相比,没有任何一个单项在敏感性和阴性预测值方面表现更好。
在这项试点研究中,开发的三项目筛查工具被发现可有效且敏感地识别出糖尿病患者口腔健康不良风险,需要进行口腔健康转诊。这是一种简单、可及的工具,糖尿病护理提供者可以将其纳入常规咨询。需要进一步对全面的牙科评估进行验证,以重新评估该工具在不同环境下的特异性和敏感性。