Langeslag-Smith Miriam A, Vandal Alain C, Briane Vincent, Thompson Benjamin, Anstice Nicola S
Department of Ophthalmology, Counties Manukau District Health Board, Auckland, New Zealand.
Ko Awatea, Counties Manukau District Health Board, Auckland, New Zealand Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand.
BMJ Open. 2015 Nov 27;5(11):e009207. doi: 10.1136/bmjopen-2015-009207.
To assess the accuracy of preschool vision screening in a large, ethnically diverse, urban population in South Auckland, New Zealand.
Retrospective longitudinal study.
B4 School Check vision screening records (n=5572) were compared with hospital eye department data for children referred from screening due to impaired acuity in one or both eyes who attended a referral appointment (n=556). False positive screens were identified by comparing screening data from the eyes that failed screening with hospital data. Estimation of false negative screening rates relied on data from eyes that passed screening. Data were analysed using logistic regression modelling accounting for the high correlation between results for the two eyes of each child.
Positive predictive value of the preschool vision screening programme.
Screening produced high numbers of false positive referrals, resulting in poor positive predictive value (PPV=31%, 95% CI 26% to 38%). High estimated negative predictive value (NPV=92%, 95% CI 88% to 95%) suggested most children with a vision disorder were identified at screening. Relaxing the referral criteria for acuity from worse than 6/9 to worse than 6/12 improved PPV without adversely affecting NPV.
The B4 School Check generated numerous false positive referrals and consequently had a low PPV. There is scope for reducing costs by altering the visual acuity criterion for referral.
评估新西兰南奥克兰一个种族多样的大型城市人口中,学龄前视力筛查的准确性。
回顾性纵向研究。
将“入学前视力检查”的视力筛查记录(n = 5572)与因一只或两只眼睛视力受损而从筛查中转介至医院眼科就诊的儿童的医院眼科数据(n = 556)进行比较。通过将筛查未通过的眼睛的筛查数据与医院数据进行比较,确定假阳性筛查。假阴性筛查率的估计依赖于筛查通过的眼睛的数据。使用逻辑回归模型分析数据,该模型考虑了每个孩子两只眼睛结果之间的高度相关性。
学龄前视力筛查项目的阳性预测值。
筛查产生了大量假阳性转介,导致阳性预测值较低(PPV = 31%,95% CI 26%至38%)。估计的高阴性预测值(NPV = 92%,95% CI 88%至95%)表明,大多数视力障碍儿童在筛查时被识别出来。将视力转诊标准从低于6/9放宽到低于6/12可提高PPV,且不会对NPV产生不利影响。
“入学前视力检查”产生了大量假阳性转介,因此PPV较低。通过改变转诊的视力标准,有降低成本的空间。