Study: Meta-analysis finds teacher-led vision screening highly specific for refractive error

A systematic review and meta-analysis published in Ophthalmic and Physiological Optics found that teacher-administered school vision screening had high specificity but more moderate sensitivity for identifying refractive errors in children.¹

Across 19 articles encompassing approximately 5.7 million children, teacher screening achieved pooled sensitivity of 76.8% and specificity of 93.6% compared with visual examinations performed by eye care professionals. The findings support teacher-led screening as a potentially scalable approach, particularly where access to eye care personnel is limited, while also indicating that screening protocols and training may substantially influence performance.

“Vision screening by teachers is a viable strategy with high potential. Studies using a 6/12 cutoff demonstrated more consistent diagnostic performance, although this may reflect differences in study quality,” the study authors, led by Mariana Cunha, BSc, of the Health Sciences Research Centre at University of Beira Interior in Covilhã, Portugal, stated. “The success of the program depends on solid practical training and rigorous validation protocols. Involving all classroom teachers proves to be the preferred strategy for maximizing early detection, while the selected teachers model stands out for its greater logistical feasibility. Continuous teacher training remains essential for the sustainability of vision screening programs.”

Study overview

Investigators searched PubMed, Web of Science, and Scopus for diagnostic accuracy studies involving children aged 4 to 18 years. Eligible studies compared vision screening conducted by teachers with a reference-standard examination performed by eye care professionals.

The review included 19 articles representing 24 study arms and approximately 34,500 teachers. Methodological quality was evaluated with the QUADAS-2 tool, and diagnostic performance was synthesized using a bivariate random-effects model.¹ The principal outcomes were sensitivity, specificity, and area under the receiver operating characteristic curve for detecting refractive errors.

Teacher screening showed high specificity

In the global meta-analysis, pooled sensitivity was 76.8% (95% CI, 62.4%-86.9%), and pooled specificity was 93.6% (95% CI, 85.7%-97.3%). The area under the curve was 0.92, indicating strong overall discrimination.¹

Clinically, the pooled sensitivity suggests that teacher-administered screening identified approximately 3 of every 4 children with refractive error, while potentially missing about 1 in 4. The pooled specificity indicates that most children without refractive error screened negative, although approximately 6% could be referred despite not having the target condition. Actual referral yield would also depend on refractive error prevalence in the screened population.

Results differed according to study quality. Studies judged to have low risk of bias produced sensitivity of 72.1% (95% CI, 57.2%-83.4%) and specificity of 96.0% (95% CI, 89.3%-98.5%). Studies at high or unclear risk of bias reported higher sensitivity at 80.1% but lower specificity at 90.8%, with wider confidence intervals.

A visual acuity cutoff of 6/12 was associated with more consistent diagnostic performance, with minimum sensitivity of 72.6%. Sensitivity was also substantially higher among younger children than adolescents—89.29% vs 45.45%, respectively. Studies specifying cycloplegia in the reference examination reported sensitivity exceeding 92.0% and specificity exceeding 72.0%. However, the researchers cautioned that overlapping confidence intervals and variation in risk of bias limited firm conclusions about subgroup differences.

Clinical context and interpretation

Uncorrected refractive error remains an important cause of visual impairment, and childhood visual impairment can adversely affect quality of life.^2,3 School-based programs can bring case detection closer to children who might otherwise have limited contact with eye care services. Recent reviews have identified several implementation models, along with persistent challenges involving training, referral completion, and access to treatment.⁴

The current findings suggest that teachers can serve as effective initial screeners rather than substitutes for optometrists or ophthalmologists. Children who fail screening still require professional examination to confirm refractive error, assess ocular health, and determine management.

The authors favored involving all classroom teachers to maximize early detection, although selecting a smaller group of designated teachers may be more logistically feasible. They emphasized practical training, continued competency support, and rigorous validation against standardized professional examinations.

Limitations and next steps

The broad confidence intervals and variability in study quality, age groups, referral thresholds, teacher preparation, and reference standards indicate meaningful heterogeneity. The particularly large contribution of some screening programs may also mean that the overall sample size does not reflect equally precise evidence across all settings.

Future research should prospectively compare training models, screening thresholds, and all-teacher vs selected-teacher strategies using consistent cycloplegic reference protocols. Studies should also evaluate referral attendance, spectacle uptake, cost-effectiveness, and whether screening ultimately improves visual and educational outcomes.

References

1. Cunha M, Nunes AF, Miguel M, et al. Diagnostic accuracy of teacher-administered school vision screening: a systematic review and meta-analysis. Ophthalmic Physiol Opt. Published August 5, 2026. https://doi.org/10.1007/s44402-026-00145-w

2. Resnikoff S, Pascolini D, Mariotti SP, Pokharel GP. Global magnitude of visual impairment caused by uncorrected refractive errors in 2004. Bull World Health Organ. 2008;86:63-70. https://doi.org/10.2471/BLT.07.041210

3. Chadha RK, Subramanian A. The effect of visual impairment on quality of life of children aged 3-16 years. Br J Ophthalmol. 2011;95:642-645. https://doi.org/10.1136/bjo.2010.182386

4. Little JA, Chan VF, Saw SM, et al. Current status of school vision screening—rationale, models, impact and challenges: a review. Br J Ophthalmol. 2025;109:1207-1214. https://doi.org/10.1136/bjo-2024-326726