Assessing the use of a smartphone app to teach eye screening to opticians.

Torch-light Eye Screening Test (TEST) is a simple eye screening technique designed for use by opticians to look for common anterior segment eye conditions. The TEACHES-Learning Electronic Module (TEACHES-LEM) is an e-learning platform that was developed to teach opticians to perform TEST. The objective of this study was to compare the effectiveness of TEACHES-LEM with face-to-face training (F2FT) in the training and assessment of knowledge among opticians. Participants were randomly assigned in this experimental study to receive either the intervention group ((TEACHES-LEM, n = 60) or the control group (F2FT, n = 57). The conceptual knowledge of TEST was assessed with a 20-item clinical scenario-based multiple choice question (MCQ) test before and after teaching (immediately post-teaching and 1-month post-teaching). The MCQ test was developed by three ophthalmologists to give face validity. The pre-teaching test scores (TS), indicating prior knowledge, were comparable in both groups (10.02 ± 2.79 versus 10.40 ± 4.17, p = 0.563, independent t test). The mean immediate post teaching score for TEACHES-LEM was 13.3 ± 4.01 versus 12.3 ± 3.29 in the F2FT group (p = 0.170, independent t test). The mean post 1-month teaching score for TEACHES-LEM and F2FT groups were also comparable, 14.5 ± 4.19 versus 13.4 ± 3.90 respectively (p = 0.295, independent t test), indicating non-inferiority of TEACHES to F2FT. The TEACHES-LEM e-learning tool is as effective as F2FT in teaching opticians to perform TEST. It is an alternative to face-to-face teaching in delivering knowledge and assessment. The obviation for physical contact will make it a useful teaching tool during the COVID-19 pandemic period. © 2020 John Wiley & Sons Ltd and The Association for the Study of Medical Education.

Citation

W K Chee, C C Yip, L Yang, Y K Soo, J Wang, Bcm Chang. Assessing the use of a smartphone app to teach eye screening to opticians. The clinical teacher. 2021 Jun;18(3):258-263

Mesh Tags

PMID: 33319490

search → result