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Objective: To characterize emergency optometrist referrals triaged at a tertiary ophthalmology care centre by physical examination findings and provisional diagnosis accuracy.
Design: Prospective case review.
Participants: Consecutive patients referred to a tertiary eye care clinic for an after-hours ocular consult.
Methods: Variables extracted from the patient charts included date of referral, age, sex, eye(s) under examination, referral visual acuity (VA), referral intraocular pressure (IOP), the referring optometrist's provisional diagnosis, VA at the time of the ophthalmologist consultation, IOP at the time of the ophthalmologist consultation, number of days between referral and ophthalmic consultation, and the ophthalmologist's diagnosis. Optometrist VA measures were correlated against ophthalmologist measures for left eye, right eye, diseased eye, and nondiseased eye. The independent t test was used to compare IOP measures between clinicians, and the absolute frequency of agreement between localization of eye pathology was reported.
Results: After categorizing disease by anatomic location, absolute agreement between optometrist provisional diagnosis and ophthalmologist diagnosis was 60.0%. Strong correlations were found between optometrist and ophthalmologist VA measurements. IOP measurements were reported less frequently by optometrists. In cases in which referral IOP was documented, no significant difference was observed between clinician measures.
Conclusions: VA and IOP measurements by optometrists are reliable, although IOP measurements were included less frequently in optometrist referrals. Optometrist referrals correctly localized eye pathology in 60.0% of cases. Two cases of retinal tear and 2 cases of retinal detachment, for which a precise reason for referral is ideal, were referred for other reasons.
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http://dx.doi.org/10.1016/j.jcjo.2018.01.003 | DOI Listing |
JMIR Med Inform
September 2025
Global Health Economics Centre, Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Background: Artificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagnostic performance and its application when deployed in real-world conditions.
Objective: This study aimed to assess the technical feasibility of integration and diagnostic performance of validated DR screening (DRS) AI algorithms in real-world outpatient public health settings.
BMJ Open
September 2025
Department of Ophthalmology, Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Objectives: This study aimed to assess eye check-up practice and associated factors among patients with diabetes attending primary hospitals in the Central Gondar Zone, Northwest Ethiopia.
Design: A multicentre hospital-based cross-sectional study.
Setting: This study was conducted at primary hospitals in Central Gondar Zone, Northwest Ethiopia, from 10 June 2024 to 10 July 2024.
Indian J Ophthalmol
September 2025
Cataract and Glaucoma Services, Trinity Eye Hospital, Calicut, Kerala, India.
This study evaluates the impact of teleconsultation services in rural communities across India through a retrospective analysis. Teleconsultation units, also referred to as vision centres (VCs), are established in multiple rural regions, each serving a population of 20,000 to 50,000. These units are equipped with a slit lamp and a fundus photography system, and are managed by trained optometrists.
View Article and Find Full Text PDFInquiry
August 2025
RICORS-REI, Project Exp. RD21/0002/0011, ISCIII, Sevilla, Spain.
The triage classification and diagnosis of eye diseases in primary care patients through teleophthalmology were performed by ophthalmologists, optometrists, and family physicians. The agreement in and diagnosis between observers, as well as the quality of referrals from primary care to ophthalmology, were evaluated. Study to compare methods using a non-inferiority method approach.
View Article and Find Full Text PDFBMC Health Serv Res
August 2025
Center for Experimental Economics in Education, Faculty of Education, Shaanxi Normal, Xi'an, China.
Background: Diagnostic errors remain a pressing challenge in health systems with uneven provider capacity and limited diagnostic standardization. In such environments, cognitive biases, particularly anchoring effect, may compromise diagnostic independence and reinforce structural disparities in care quality.
Methods: We conducted a randomized field experiment in western China using standardized patients (SPs) to examine how prior spectacle diagnostic prescriptions influence the behavior and accuracy of second-opinion optometrists.