Tele-Ophthalmology for Retinal Health Surveillance in Denmark

In this commentary paper, we discuss the potential of population health surveillance of retinal health in Denmark using optometrist-based opportunist retinal examination with tele-ophthalmology pathway. Using 12 months of data from 79 high-street optometrist stores, we imaged 355,818 unique individuals, which corresponds to 5.99% of the entire population of Denmark and equates to an average of 29,652 individuals each month, corresponding to 0.50% of the population. Coverage was highest among those aged 41-80 years, with coverage rates of between 8.17% and 8.68%. We also observed higher participation rates in female individuals (6.77%) than in male individuals (5.19%). Using Wilson score intervals with finite-population correction, we demonstrate that when such a large sample of the entire population is examined, prevalence estimates can be obtained with very narrow 95% confidence intervals. These results suggest that community imaging can provide stable, near real-time indicators of retinal disease at the population level. Selection bias is discussed to understand the limitations of data.

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Publication Details

Journal
Ophthalmology and Therapy
Published
2026-01-13
DOI
https://doi.org/10.1007/s40123-026-01308-1
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
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article

Tele-Ophthalmology for Retinal Health Surveillance in Denmark

Lasse Joergensen Cehofski, Y Subhi, Danson Vasanthan Muttuvelu, Josef Huemer et al.
Ophthalmology and Therapy
Retinal Imaging and Analysis
article

Tele-Ophthalmology for Retinal Health Surveillance in Denmark

Lasse Joergensen Cehofski, Y Subhi, Danson Vasanthan Muttuvelu, Josef Huemer, T. Utheim, P. J. Keane, Charles C. Wykoff, Marie L. R. Rasmussen, Goran Petrovski, Tunde Peto
article en

Abstract

In this commentary paper, we discuss the potential of population health surveillance of retinal health in Denmark using optometrist-based opportunist retinal examination with tele-ophthalmology pathway. Using 12 months of data from 79 high-street optometrist stores, we imaged 355,818 unique individuals, which corresponds to 5.99% of the entire population of Denmark and equates to an average of 29,652 individuals each month, corresponding to 0.50% of the population. Coverage was highest among those aged 41-80 years, with coverage rates of between 8.17% and 8.68%. We also observed higher participation rates in female individuals (6.77%) than in male individuals (5.19%). Using Wilson score intervals with finite-population correction, we demonstrate that when such a large sample of the entire population is examined, prevalence estimates can be obtained with very narrow 95% confidence intervals. These results suggest that community imaging can provide stable, near real-time indicators of retinal disease at the population level. Selection bias is discussed to understand the limitations of data.

Ophthalmology and TherapyVol. 15(2)
Johannes Kepler University of Linz (AT), University of Copenhagen (DK), Queen's University Belfast (GB), Oslo University Hospital (NO), Moorfields Eye Hospital NHS Foundation Trust (GB), University of Southern Denmark (DK), University of Oslo (NO), Aalborg University Hospital (DK), Vestre Viken Hospital Trust (NO), Glostrup Hospital (DK), Sykehuset i Vestfold (NO), University "St. Kliment Ohridski" - Bitola (MK), Rigshospitalet (DK), Hospital of Southern Norway (NO), Aarhus Business College (DK), Molde Hospital (NO), Methodist Hospital (US), Retina Consultants of Texas (US), Sørlandet Sykehus (NO), University College London (GB), IT University of Copenhagen (DK), University of Split (HR)
Openalex Percentile: Top 90%
Retinal Imaging and Analysis
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