| Title: |
What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening for diabetic eye disease? Development and validation of a survey for use in a secondary care screening setting. |
| Authors: |
Willis, K; Chaudhry, UAR; Chandrasekaran, L; Wahlich, C; Olvera-Barrios, A; Chambers, R; Bolter, L; Anderson, J; Barman, SA; Fajtl, J; Welikala, R; Egan, C; Tufail, A; Owen, CG; Rudnicka, A; ARIAS Research Group; Study Advisory Group members |
| Publisher Information: |
BMJ Publishing Group |
| Publication Year: |
2023 |
| Collection: |
St George's University of London: Repository |
| Description: |
INTRODUCTION: The English National Health Service (NHS) Diabetic Eye Screening Programme (DESP) performs around 2.3 million eye screening appointments annually, generating approximately 13 million retinal images that are graded by humans for the presence or severity of diabetic retinopathy. Previous research has shown that automated retinal image analysis systems, including artificial intelligence (AI), can identify images with no disease from those with diabetic retinopathy as safely and effectively as human graders, and could significantly reduce the workload for human graders. Some algorithms can also determine the level of severity of the retinopathy with similar performance to humans. There is a need to examine perceptions and concerns surrounding AI-assisted eye-screening among people living with diabetes and NHS staff, if AI was to be introduced into the DESP, to identify factors that may influence acceptance of this technology. METHODS AND ANALYSIS: People living with diabetes and staff from the North East London (NEL) NHS DESP were invited to participate in two respective focus groups to codesign two online surveys exploring their perceptions and concerns around the potential introduction of AI-assisted screening.Focus group participants were representative of the local population in terms of ages and ethnicity. Participants' feedback was taken into consideration to update surveys which were circulated for further feedback. Surveys will be piloted at the NEL DESP and followed by semistructured interviews to assess accessibility, usability and to validate the surveys.Validated surveys will be distributed by other NHS DESP sites, and also via patient groups on social media, relevant charities and the British Association of Retinal Screeners. Post-survey evaluative interviews will be undertaken among those who consent to participate in further research. ETHICS AND DISSEMINATION: Ethical approval has been obtained by the NHS Research Ethics Committee (IRAS ID: 316631). Survey results will be shared and ... |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| ISSN: |
2044-6055 |
| Relation: |
https://openaccess.sgul.ac.uk/id/eprint/115859/1/e075558.full.pdf; Willis, K; Chaudhry, UAR; Chandrasekaran, L; Wahlich, C; Olvera-Barrios, A; Chambers, R; Bolter, L; Anderson, J; Barman, SA; Fajtl, J; et al. Willis, K; Chaudhry, UAR; Chandrasekaran, L; Wahlich, C; Olvera-Barrios, A; Chambers, R; Bolter, L; Anderson, J; Barman, SA; Fajtl, J; Welikala, R; Egan, C; Tufail, A; Owen, CG; Rudnicka, A; ARIAS Research Group; Study Advisory Group members (2023) What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening for diabetic eye disease? Development and validation of a survey for use in a secondary care screening setting. BMJ Open, 13 (11). e075558. ISSN 2044-6055 https://doi.org/10.1136/bmjopen-2023-075558 SGUL Authors: Rudnicka, Alicja Regina |
| DOI: |
10.1136/bmjopen-2023-075558 |
| Availability: |
https://openaccess.sgul.ac.uk/id/eprint/115859/; https://openaccess.sgul.ac.uk/id/eprint/115859/1/e075558.full.pdf; https://doi.org/10.1136/bmjopen-2023-075558 |
| Rights: |
cc_by_4 |
| Accession Number: |
edsbas.E042C408 |
| Database: |
BASE |