title: The accuracy of the Edinburgh visual loss diagnostic algorithm.
abstract: OBJECTIVE
  To assess the diagnostic accuracy of the Edinburgh visual loss algorithm.
  
  
  METHODS
  This was a prospective study. Patients referred to the Edinburgh Eye Pavilion with visual loss were assessed using the Edinburgh Visual Loss Algorithm by either a medical student, an inexperienced ophthalmology trainee or an optometrist in the Lothian Optometry Treat and Teach clinic. Accuracy of this 'algorithm-assisted' diagnosis was then compared with the 'gold-standard' diagnosis, made by an experienced ophthalmologist. Accuracy of the pre-algorithm diagnosis, made by the referrer, was also compared with the algorithm-assisted diagnosis.
  
  
  RESULTS
  All patients referred with visual loss were eligible for inclusion. Seventy patients were assessed; two were excluded. Pre-algorithm accuracy of referral of patients with visual loss was 51% (30/59). Overall, the algorithm-assisted diagnosis was correct 84% (57/68) of the time. The algorithm correctly diagnosed: retina in 71% of cases (5/7), macula in 86% (25/29), peripheral retina in 100% (2/2), optic nerve in 71% (5/7), media opacity in 89% (16/18), post chiasmal in 100% (4/4), and refractive error in 0% (0/1). Accuracy of diagnosis was similar for each algorithm user; medical student 81%, inexperienced ophthalmology trainee 84% and optometrist 92%.
  
  
  CONCLUSIONS
  The baseline diagnostic accuracy of clinicians who are inexperienced in ophthalmology rose from 51 to 84% when patients were assessed using the algorithm. This algorithm significantly improves the diagnostic accuracy of referrals to the hospital eye service, regardless of the user's previous ophthalmic experience. We hope we have demonstrated its potential as a learning tool for inexperienced clinicians.
authors: Department of Ophthalmology, Princess Alexandra Eye Pavilion, Edinburgh, Scotland.
authors: C
authors: C
authors: Goudie
authors: Department of Ophthalmology, Princess Alexandra Eye Pavilion, Edinburgh, Scotland.
authors: A
authors: A
authors: Khan
authors: College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, Scotland.
authors: C
authors: C
authors: Lowe
authors: Department of Ophthalmology, Princess Alexandra Eye Pavilion, Edinburgh, Scotland.|College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, Scotland.
authors: M
authors: M
authors: Wright
mesh_terms: D000465:Algorithms; D003941:Diagnostic Techniques, Ophthalmological / Q000592:standards*; D004503:Education, Medical, Graduate; D006801:Humans; D009885:Ophthalmology / Q000193:education; D009907:Optometry; D011446:Prospective Studies; D012017:Referral and Consultation; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013337:Students, Medical; D011795:Surveys and Questionnaires; D014786:Vision Disorders / Q000175:diagnosis*