Capturing the clinical decision-making processes of expert and novice diabetic retinal graders using a ‘think-aloud’ approach

Author:

Curran Katie,Congdon Nathan,Peto TundeORCID,Dardis Catherine,Nguyen Quan NhuORCID,Hoang Tung Thanh,Bannon Finian,Luu An,Mai Tung Quoc,Nguyen Van Thu,Thi Nguyen Hue,Tran Huong,Tran Hoang Huy,Lohfeld Lynne

Abstract

Abstract Background Diabetic eye screening programmes have been developed worldwide based on evidence that early detection and treatment of diabetic retinopathy are crucial to preventing sight loss. However, little is known about the decision-making processes and training needs of diabetic retinal graders, particularly in low- and middle-income countries. Objectives To provide data for improving evidence-based diabetic retinopathy training to help novice graders process fundus images more like experts. Subjects/methods This is a mixed-methods qualitative study conducted in southern Vietnam and Northern Ireland. Novice diabetic retinal graders in Vietnam (n = 18) and expert graders in Northern Ireland (n = 5) were selected through a purposive sampling technique. Data were collected from 21st February to 3rd September 2019. The interviewer used neutral prompts during think-aloud sessions to encourage participants to verbalise their thought processes while grading fundus images from anonymised patients, followed by semi-structured interviews. Thematic framework analysis was used to identify themes, supported by illustrative quotes from interviews. Mann–Whitney U tests were used to compare graders’ performance. Results Expert graders used a more systematic approach when grading images, considered all four images per patient and used available software tools such as red-free filters prior to making a decision on management. The most challenging features for novice graders were intra-retinal microvascular abnormalities and new vessels, which were more accurately identified by experts. Conclusion Taking more time to grade fundus images and adopting a protocol-driven “checklist” approach may help novice graders to function more like experts.

Funder

Department for the Economy (DfE) - Global Challenge Research Fund

Publisher

Springer Science and Business Media LLC

Subject

Ophthalmology

Reference41 articles.

1. International Diabetes Federation. IDF diabetes Atlas 1st edition. 2000. https://www.idf.org/e-library/epidemiology-research/diabetes-atlas/24-atlas-1st-edition.html.

2. International Diabetes Federation. Diabetes facts and figures. 2020. https://www.idf.org/aboutdiabetes/what-is-diabetes/facts-figures.html.

3. International Diabetes Federation. IDF diabetes Atlas eighth edition. 2017. https://www.idf.org/e-library/epidemiology-research/diabetes-atlas/134-idf-diabetes-atlas-8th-edition.html.

4. International Diabetes Federation. IDF diabetes Atlas 9th edition. 2019. https://www.diabetesatlas.org/en/.

5. The International Agency for the Prevention of Blindness. Diabetic retinopathy. 2020. https://www.iapb.org/knowledge/what-is-avoidable-blindness/diabetic-retinopathy/.

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