Estimating the prevalence of visual impairment in the Netherlands, with forecasts up to 2050: a meta-analysis of national databases

Background: Current prevalence estimates of visual impairment (i.e., low vision and blindness) in the Netherlands are lacking. Based on representative databases, we aimed to estimate the prevalence of visual impairment among Dutch adults and to forecast estimates to 2050. Methods: We undertook a meta-analysis of national databases. Databases were primarily identified through expert consultation and included when representative of the Dutch population and containing recent (≥2010) data on vision (visual acuity <6/18, self-reported visual functioning, or relevant International Classification of Primary Care [ICPC] codes). We classified self-reported visual functioning according to four definitions: A) only near vision difficulties; B) only distance vision difficulties; C) both near and distance vision difficulties; D) any vision difficulties (combining A-C). Population-based prevalences were calculated and pooled using four meta-analyses, including heterogeneity assessment and subgroup analyses. Age-effects were modelled using logistic mixed-effects models. Findings: statistic >98%, p < 0.0001). The pooled prevalence of visual impairment was 0.28% (95% CI: 0.11-0.73) for visual acuity (2 databases), whereas it was 0.51% (95% CI: 0.50-0.52) for ICPC (1 database). The prevalence for self-report (five databases) depended on the definition. For only near vision difficulties (A), prevalence was 1.81% (95% CI: 1.01-3.21); for only distance vision difficulties (B), prevalence was 0.63% (95% CI: 0.50-0.80); for both near and vision difficulties (C), prevalence was 0.51% (95% CI: 0.31-0.83); and for any vision difficulties (D), prevalence was 3.21% (95% CI: 2.15-4.77). After applying age-specific and assessment-specific prevalence estimates to projected population structures, we estimate that 39,100-406,400 Dutch adults have visual impairment in 2025, and this is estimated to increase to 48,800-489,100 by 2050 owing to population growth and ageing, depending on definitions. Interpretation: Despite inherent limitations (including databases mostly containing self-reported data on visual functioning) and substantial uncertainty in estimates, this study provides population-level estimates of visual impairment in the Netherlands. Although these estimates span a wide range of values, they reveal trends and plausible uncertainty intervals, illustrating the potential magnitude of the current and future burden of visual impairment. Funding: Dutch Eye Foundation (Oogfonds).

Authors

Institutions

Publication Details

Journal
EClinicalMedicine
Published
2026-04-01
DOI
https://doi.org/10.1016/j.eclinm.2026.103858
Primary Topic
Ophthalmology and Visual Impairment Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimating the prevalence of visual impairment in the Netherlands, with forecasts up to 2050: a meta-analysis of national databases

Hilde PA van der Aa, Joost W. Vanhommerig, Wishal D. Ramdas, Jeroen Hoogland et al.
EClinicalMedicine
Ophthalmology and Visual Impairment Studies
article

Estimating the prevalence of visual impairment in the Netherlands, with forecasts up to 2050: a meta-analysis of national databases

Hilde PA van der Aa, Joost W. Vanhommerig, Wishal D. Ramdas, Jeroen Hoogland, Martijn Huisman, Victor A. de Vries, T. Petra Rausch-Koster, Marc B. Muijzer, Tamara Brussee, Cees van der Windt, Petra Van Es, Caroline C.W. Klaver, Ellen B.M. Elsman, Tos TJM Berendschot, W.M. Monique Verschuren, Jan E.E. Keunen, Robert P.L. Wisse, Ruth MA. van Nispen, H. Susan J Picavet
article en

Abstract

Background: Current prevalence estimates of visual impairment (i.e., low vision and blindness) in the Netherlands are lacking. Based on representative databases, we aimed to estimate the prevalence of visual impairment among Dutch adults and to forecast estimates to 2050. Methods: We undertook a meta-analysis of national databases. Databases were primarily identified through expert consultation and included when representative of the Dutch population and containing recent (≥2010) data on vision (visual acuity <6/18, self-reported visual functioning, or relevant International Classification of Primary Care [ICPC] codes). We classified self-reported visual functioning according to four definitions: A) only near vision difficulties; B) only distance vision difficulties; C) both near and distance vision difficulties; D) any vision difficulties (combining A-C). Population-based prevalences were calculated and pooled using four meta-analyses, including heterogeneity assessment and subgroup analyses. Age-effects were modelled using logistic mixed-effects models. Findings: statistic >98%, p < 0.0001). The pooled prevalence of visual impairment was 0.28% (95% CI: 0.11-0.73) for visual acuity (2 databases), whereas it was 0.51% (95% CI: 0.50-0.52) for ICPC (1 database). The prevalence for self-report (five databases) depended on the definition. For only near vision difficulties (A), prevalence was 1.81% (95% CI: 1.01-3.21); for only distance vision difficulties (B), prevalence was 0.63% (95% CI: 0.50-0.80); for both near and vision difficulties (C), prevalence was 0.51% (95% CI: 0.31-0.83); and for any vision difficulties (D), prevalence was 3.21% (95% CI: 2.15-4.77). After applying age-specific and assessment-specific prevalence estimates to projected population structures, we estimate that 39,100-406,400 Dutch adults have visual impairment in 2025, and this is estimated to increase to 48,800-489,100 by 2050 owing to population growth and ageing, depending on definitions. Interpretation: Despite inherent limitations (including databases mostly containing self-reported data on visual functioning) and substantial uncertainty in estimates, this study provides population-level estimates of visual impairment in the Netherlands. Although these estimates span a wide range of values, they reveal trends and plausible uncertainty intervals, illustrating the potential magnitude of the current and future burden of visual impairment. Funding: Dutch Eye Foundation (Oogfonds).

EClinicalMedicineVol. 94
Radboud University Nijmegen (NL), University of Applied Sciences Utrecht (NL), Erasmus MC (NL), Radboud University Medical Center (NL), Maastricht University (NL), National Institute for Public Health and the Environment (NL), Amsterdam Neuroscience (NL), Netherlands Institute for Health Services Research (NL), Dutch Healthcare Authority (NL), Ziekenhuis Rivierenland (NL), Amsterdam University Medical Centers (NL), Bartiméus (NL), Pension Fund for Care and Well-Being (NL), Vrije Universiteit Amsterdam (NL)
Ögonfonden, Oogfonds
Openalex Percentile: Top 38%
Ophthalmology and Visual Impairment Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.