Evidence map›Paper›PMID 42800845›Full record

ArticleOphthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)2026

Who Gets Referred for What? Large Scale Analysis of Clinical, Socioeconomic and Demographic Drivers Within Electronic Optometry Referrals.

Abdullah F Alotaibi, Matthew Jinkinson, Ketan R Parmar, Glen P Martin, Philip B Morgan, Robert A Harper

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Article in Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Abdullah F AlotaibiDivision of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK. Abdullah.Alotaibi@postgrad.manchester.ac.uk.ORCID http://orcid.org/0000-0002-6343-9091
Matthew JinkinsonGreater Manchester Eye Health Network, NHS Greater Manchester Integrated Care, Manchester, UK.
Ketan R ParmarDivision of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Glen P MartinDivision of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Philip B MorganDivision of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Robert A HarperDivision of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0001-5437-2553

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo provide the first large-scale analysis of Electronic Eyecare Referral System (EeRS) data, examining referral patterns, demographic differences and geographical variation by socioeconomic deprivation overall.

methodsA retrospective analysis was conducted of 104,190 referrals submitted via the National Health Service (NHS) England North West's EeRS between June 2022 and May 2024. Descriptive analyses summarised referral destinations and putative optometric diagnoses. Chi-squared tests with Bonferroni correction examined sex differences across referral endpoints. Multivariable logistic regression assessed associations between deprivation (Index of Multiple Deprivation (IMD) decile) and condition-specific referral odds, adjusting for age, sex and ethnicity.

resultsMost referrals were directed to ophthalmology in secondary care (71.6%). The most common referral endpoints were glaucoma (12.2%), other medical retina (11.6%) and YAG laser capsulotomy (11.1%). Referrals within primary care accounted for 18.2%, predominantly referrals to general practice (15.0%), while referrals to glaucoma referral filtering comprised 3.0% of all referrals. Significant sex differences in referral distribution across several subspecialty endpoints were observed (p < 0.003). Deprivation-related and geographical variation was evident, with higher odds of cataract (Odds Ratio (OR) per IMD decile 0.97, 95% CI 0.97-0.98) and paediatric binocular vision referrals (OR 0.96, 95% CI 0.94-0.98) in more deprived areas, whereas vitreoretinal, adult binocular vision and other medical retina referrals were more common in less deprived areas.

conclusionsElectronic optometry referrals showed substantial variation by condition and area-level socioeconomic context. Linking referral data to deprivation measures may help identify variation in referral activity and support strategies to improve eye examination uptake and optimise referral pathways.

Indexed as

DeprivationElectronic referralEthnicityGlaucomaOptometryReferral pathways

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.