Medical image sharing: what do the public see when reviewing radiographs? a pilot study

Preston, Scott, Strudwick, Ruth and Cox, William Allenby Southam (2024) Medical image sharing: what do the public see when reviewing radiographs? a pilot study. Journal of Medical Imaging and Radiation Sciences. ISSN 1939-8654

[img]
Preview
Text
Medical Image Sharing.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (779kB) | Preview

Abstract

Method
A pilot study in the UK using a survey was distributed to adult participants via the online research platform Prolific. All subjects were without prior professional healthcare experience. Participants reviewed ten radiographs (single projection only) and were asked a two-stage question. Firstly, if the radiograph was ‘normal’ or ‘abnormal’ and secondly, if they had answered ‘abnormal’, to identify the abnormality from a pre-determined list featuring generic terms for pathologies.

Results
Fifty participants completed the survey. A mean of 65.8 % of participants were able to correctly identify if radiographs were normal or abnormal. Results in relation to the identification of a pathology were not as positive, but still notable with a mean of 46.4 % correctly identifying abnormalities. Qualitative data demonstrated that members of the public are enthralled with reviewing radiographs and intrigued to understand their performance in identifying abnormalities.

Conclusion
In the pilot, members of the public could identify if a radiograph is normal or abnormal to a reasonable standard. Further detailed interpretation of images requires supportive intervention. This pilot study suggests that patients can participate in image sharing as part of their care. Image sharing may be beneficial to the therapeutic relationship, aiding patient understanding and enhancing consultations between healthcare professional and patient. Further research is indicated.

Item Type: Article
Uncontrolled Keywords: image sharing, image interpretation, reporting, abnormality detection, patient care
Subjects: R Medicine > R Medicine (General)
Divisions: Faculty of Health & Science > Department of Health Studies
Depositing User: David Upson-dale
Date Deposited: 17 May 2024 12:46
Last Modified: 17 May 2024 12:46
URI: https://oars.uos.ac.uk/id/eprint/3755

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year