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Comparative performance of prediction model, non-expert and tele-diagnosis of common external and middle ear disorders using a cohort of 85 patients from Cambodia
  • +3
  • James Schuster-Bruce,
  • Prajwal Shetty,
  • James O'Donovan,
  • Rishi Mandavia,
  • Touch Sokdavy,
  • Mahmood Bhutta
James Schuster-Bruce
St George's University Hospital NHS Foundation Trust, St George's, University of London
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Prajwal Shetty
Worthing Hospital
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James O'Donovan
University of Oxford
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Rishi Mandavia
National Institute for Health Research
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Touch Sokdavy
The Children's Surgical Centre
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Mahmood Bhutta
Brighton and Sussex University Hospitals NHS Trust
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Peer review status:POSTED

16 Jun 2020Submitted to Clinical Otolaryngology
17 Jun 2020Assigned to Editor
17 Jun 2020Submission Checks Completed

Abstract

Key Points: 1. Efforts to combat the large global burden of ear and hearing disorders are hampered by poor availability of expert diagnosis 2. We report the first study to directly compare prediction model, non-expert and tele-diagnosis of middle and external ear disorders. 3. A prediction model based upon a novel automated otological symptom questionnaire performed poorly, but absence of otorrhoea was found to reliably exclude a diagnosis of chronic suppurative otitis media. 4. Both on-site non-expert and expert tele-diagnosis had high diagnostic specificity, but low sensitivity. 5. Future work could explore how the validity of these diagnostic methods may be improved.