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Cost-effectiveness of implementing automated grading within the national screening programme for diabetic retinopathy in Scotland
  1. G S Scotland1,
  2. P McNamee1,
  3. S Philip2,
  4. A D Fleming3,
  5. K A Goatman3,
  6. G J Prescott4,
  7. S Fonseca4,
  8. P F Sharp4,
  9. J A Olson2
  1. 1
    Health Economics Research Unit, University of Aberdeen, Foresterhill, Aberdeen
  2. 2
    Grampian Retinal Screening Programme, David Anderson Building, Forresterhill, Aberdeen
  3. 3
    Department of Biomedical Physics, University of Aberdeen, Foresterhill, Aberdeen
  4. 4
    Department of Public Health, University of Aberdeen, Foresterhill, Aberdeen
  1. G S Scotland, Research Fellow, Health Economics Research Unit, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD; g.scotland{at}abdn.ac.uk

Abstract

Aims: National screening programmes for diabetic retinopathy using digital photography and multi-level manual grading systems are currently being implemented in the UK. Here, we assess the cost-effectiveness of replacing first level manual grading in the National Screening Programme in Scotland with an automated system developed to assess image quality and detect the presence of any retinopathy.

Methods: A decision tree model was developed and populated using sensitivity/specificity and cost data based on a study of 6722 patients in the Grampian region. Costs to the NHS, and the number of appropriate screening outcomes and true referable cases detected in 1 year were assessed.

Results: For the diabetic population of Scotland (approximately 160 000), with prevalence of referable retinopathy at 4% (6400 true cases), the automated strategy would be expected to identify 5560 cases (86.9%) and the manual strategy 5610 cases (87.7%). However, the automated system led to savings in grading and quality assurance costs to the NHS of £201 600 per year. The additional cost per additional referable case detected (manual vs automated) totalled £4088 and the additional cost per additional appropriate screening outcome (manual vs automated) was £1990.

Conclusions: Given that automated grading is less costly and of similar effectiveness, it is likely to be considered a cost-effective alternative to manual grading.

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Footnotes

  • Competing interests: Implementation in Scotland is being considered. If this occurs it is likely that there will be some remuneration for the University of Aberdeen, NHS Grampian and the Scottish Executive.

  • Funding: This study was funded by the Chief Scientist Office of the Scottish Executive Health Department (SEHD). The views expressed here are those of the authors and not necessarily those of the SEHD.

  • Guarantor: GS.

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