School of Dentistry, International Medical University, Kuala Lumpur, Malaysia.
Department of Oral Medicine and Oral Radiology, Faculty of Dentistry, Manipal University College Malaysia, Melaka, Malaysia.
Cochrane Database Syst Rev. 2022 Jul 27;7(7):CD012595. doi: 10.1002/14651858.CD012595.pub4.
In school dental screening, a dental health professional visually inspects children's oral cavities in a school setting and provides information for parents on their child's current oral health status and treatment needs. Screening at school aims to identify potential problems before symptomatic disease presentation, hence prompting preventive and therapeutic oral health care for the children. This review evaluates the effectiveness of school dental screening for improving oral health status. It is the second update of a review originally published in December 2017 and first updated in August 2019.
To assess the effectiveness of school dental screening programmes on overall oral health status and use of dental services.
An information specialist searched four bibliographic databases up to 15 October 2021 and used additional search methods to identify published, unpublished and ongoing studies.
We included randomised controlled trials (RCTs; cluster- or individually randomised) that evaluated school dental screening compared with no intervention, or that compared two different types of screening.
We used standard methodological procedures expected by Cochrane.
The previous version of this review included seven RCTs, and our updated search identified one additional trial. Therefore, this update included eight trials (six cluster-RCTs) with 21,290 children aged 4 to 15 years. Four trials were conducted in the UK, two in India, one in the USA and one in Saudi Arabia. We rated two trials at low risk of bias, three at high risk of bias and three at unclear risk of bias. No trials had long-term follow-up to ascertain the lasting effects of school dental screening. The trials assessed outcomes at 3 to 11 months of follow-up. No trials reported the proportion of children with treated or untreated oral diseases other than caries. Neither did they report on cost-effectiveness or adverse events. Four trials evaluated traditional screening versus no screening. We performed a meta-analysis for the outcome 'dental attendance' and found an inconclusive result with high heterogeneity. The heterogeneity was partly due to study design (three cluster-RCTs and one individually randomised trial). Due to this inconsistency, and unclear risk of bias, we downgraded the evidence to very low certainty, and we are unable to draw conclusions about this comparison. Two cluster-RCTs (both four-arm trials) evaluated criteria-based screening versus no screening, suggesting a possible small benefit (pooled risk ratio (RR) 1.07, 95% confidence interval (CI) 0.99 to 1.16; low-certainty evidence). There was no evidence of a difference when comparing criteria-based screening to traditional screening (RR 1.01, 95% CI 0.94 to 1.08; very low-certainty evidence). One trial compared a specific (personalised) referral letter to a non-specific letter. Results favoured the specific referral letter for increasing attendance at general dentist services (RR 1.39, 95% CI 1.09 to 1.77; very low-certainty evidence) and attendance at specialist orthodontist services (RR 1.90, 95% CI 1.18 to 3.06; very low-certainty evidence). One trial compared screening supplemented with motivation to screening alone. Dental attendance was more likely after screening supplemented with motivation (RR 3.08, 95% CI 2.57 to 3.71; very low-certainty evidence). One trial compared referral to a specific dental treatment facility with advice to attend a dentist. There was no evidence of a difference in dental attendance between these two referrals (RR 0.91, 95% CI 0.34 to 2.47; very low-certainty evidence). Only one trial reported the proportion of children with treated dental caries. This trial evaluated a post-screening referral letter based on the common-sense model of self-regulation (a theoretical framework that explains how people understand and respond to threats to their health), with or without a dental information guide, compared to a standard referral letter. The findings were inconclusive. Due to high risk of bias, indirectness and imprecision, we assessed the evidence as very low certainty.
AUTHORS' CONCLUSIONS: The evidence is insufficient to draw conclusions about whether there is a role for school dental screening in improving dental attendance. We are uncertain whether traditional screening is better than no screening (very low-certainty evidence). Criteria-based screening may improve dental attendance when compared to no screening (low-certainty evidence). However, when compared to traditional screening, there is no evidence of a difference in dental attendance (very low-certainty evidence). For children requiring treatment, personalised or specific referral letters may improve dental attendance when compared to non-specific referral letters (very low-certainty evidence). Screening supplemented with motivation (oral health education and offer of free treatment) may improve dental attendance in comparison to screening alone (very low-certainty evidence). We are uncertain whether a referral letter based on the 'common-sense model of self-regulation' is better than a standard referral letter (very low-certainty evidence) or whether specific referral to a dental treatment facility is better than a generic advice letter to visit the dentist (very low-certainty evidence). The trials included in this review evaluated effects of school dental screening in the short term. None of them evaluated its effectiveness for improving oral health or addressed possible adverse effects or costs.
在学校牙科筛查中,牙科保健专业人员在学校环境中目视检查儿童的口腔,并为家长提供有关其子女当前口腔健康状况和治疗需求的信息。在学校进行筛查旨在在出现症状性疾病之前识别潜在问题,从而为儿童提供预防性和治疗性口腔保健。本次综述评估了学校牙科筛查在改善口腔健康状况方面的有效性。这是最初于 2017 年 12 月发布的综述的第二次更新,首次更新于 2019 年 8 月。
评估学校牙科筛查方案对整体口腔健康状况和牙科服务利用的影响。
信息专家检索了四个文献数据库,截至 2021 年 10 月 15 日,并使用其他搜索方法来确定已发表、未发表和正在进行的研究。
我们纳入了随机对照试验(RCT;簇或个体随机),比较了学校牙科筛查与无干预、或两种不同类型的筛查。
我们使用了 Cochrane 预期的标准方法学程序。
上一版本的综述包括 7 项 RCT,我们更新的检索确定了另外一项试验。因此,本次更新包括 8 项试验(6 项簇 RCT),共 21290 名 4 至 15 岁的儿童。其中四项试验在英国进行,两项在印度,一项在美国,一项在沙特阿拉伯。我们将两项试验评定为低偏倚风险,三项试验评定为高偏倚风险,三项试验评定为不确定偏倚风险。没有试验进行长期随访以确定学校牙科筛查的持久效果。试验在 3 至 11 个月的随访期评估结果。没有试验报告除龋齿以外的患有或未患有口腔疾病的儿童比例。也没有报告成本效益或不良事件。四项试验评估了传统筛查与无筛查。我们对“牙科就诊”这一结局进行了荟萃分析,结果存在高度异质性,结论不确定。异质性部分归因于研究设计(三项簇 RCT 和一项个体随机试验)。由于存在不一致性和不确定的偏倚,我们将证据质量降级为非常低,因此无法对这一比较得出结论。两项簇 RCT(均为四臂试验)评估了基于标准的筛查与无筛查,提示可能有较小的获益(汇总风险比(RR)1.07,95%置信区间(CI)0.99 至 1.16;低质量证据)。当比较基于标准的筛查与传统筛查时,没有证据表明存在差异(RR 1.01,95%CI 0.94 至 1.08;极低质量证据)。一项试验比较了特定(个性化)转诊信与非特定转诊信。结果表明,个性化转诊信更有利于增加普通牙医服务的就诊率(RR 1.39,95%CI 1.09 至 1.77;极低质量证据)和专科正畸医生服务的就诊率(RR 1.90,95%CI 1.18 至 3.06;极低质量证据)。一项试验比较了筛查辅以动机与单纯筛查。在辅以动机的情况下,接受筛查的可能性更高(RR 3.08,95%CI 2.57 至 3.71;极低质量证据)。一项试验比较了将患者转诊至特定牙科治疗机构与建议去看牙医。这两种转诊之间在牙科就诊方面没有差异(RR 0.91,95%CI 0.34 至 2.47;极低质量证据)。只有一项试验报告了患有治疗性龋齿的儿童比例。这项试验评估了基于常识自我调节模型(一种解释人们如何理解和应对健康威胁的理论框架)的筛查后转诊信,与单独的转诊信相比,是否有牙科信息指南。结果不确定。由于高偏倚风险、间接性和不精确性,我们将证据质量评估为非常低。
目前证据不足以得出关于学校牙科筛查在改善口腔健康方面是否发挥作用的结论。我们不确定传统筛查是否优于无筛查(极低质量证据)。与无筛查相比,基于标准的筛查可能会提高口腔就诊率(低质量证据)。然而,与传统筛查相比,在口腔就诊率方面没有证据表明存在差异(极低质量证据)。对于需要治疗的儿童,个性化或特定的转诊信可能比非特定转诊信更有利于提高口腔就诊率(极低质量证据)。筛查辅以动机(口腔健康教育和提供免费治疗)可能比单纯筛查更能提高口腔就诊率(极低质量证据)。我们不确定基于“常识自我调节模型”的转诊信是否优于标准转诊信(极低质量证据),或者特定转诊至牙科治疗机构是否优于建议去看牙医的一般建议(极低质量证据)。本综述纳入的试验评估了学校牙科筛查在短期内的效果。它们都没有评估其改善口腔健康的有效性,也没有解决可能的不良影响或成本问题。