Literature DB >> 32811996

Comment on: Reshaping ophthalmology training after COVID-19 pandemic.

Merlin Joseph Hetherington1, Obaid Kousha2, Ahmed Al-Mansour Ali3, Fisto Kitema4, Andrew Blaikie1,3.   

Abstract

Entities:  

Year:  2020        PMID: 32811996      PMCID: PMC7433268          DOI: 10.1038/s41433-020-01139-9

Source DB:  PubMed          Journal:  Eye (Lond)        ISSN: 0950-222X            Impact factor:   3.775


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To the Editor:

Ferrara et al. [1] report the dramatic negative effects of the COVID-19 pandemic upon training. Their paper recognises the importance of mitigating these effects by utilising both remote web-based learning and simulation-based surgery. We would like to highlight two additional issues that we feel are important. Firstly, in lower resource settings, remote learning for eye care trainees is often impractical due to students not owning suitable hardware to access material as well as not being able to afford internet access [2]. Secondly, in this era of reduced face-to-face clinical exposure, simulation tools can be used not just for training and maintaining surgical proficiency but also clinical examination skills. To help overcome these challenges, the University of St Andrews has led the development, evaluation and implementation of a low-cost solar powered ophthalmoscope (Arclight) for trainees in low-resource countries. Studies have shown that compared to a traditional device, the Arclight can be a superior retinal and equally effective red reflex examination tool [3, 4] despite its simplified design and low cost [5]. To complement the Arclight, we have also developed and evaluated frugal simulation eyes with modifiable media and a range of printable fundus pathologies (Fig. 1). A ‘realism’ study comparing the Arclight simulation eyes (ASEs—£18 for a bag of five eyes) with the most widely available device on the market (Adam,Rouilly digital retinopathy trainer (AR-DRT)—£1711.20) was performed with 24 third year medical students none of whom had been exposed to the ASE before. After a self-directed hour-long teaching session in which students used both simulators, a seven-point Likert scale and questionnaire was used to acquire feedback.
Fig. 1

Arclight simulation eye (ASE).

a Arclight simulation eye constituent parts. b Fundoscopy appearance. c Red reflex appearances (i) leucocoria, (ii) normal and (iii) cataract.

Arclight simulation eye (ASE).

a Arclight simulation eye constituent parts. b Fundoscopy appearance. c Red reflex appearances (i) leucocoria, (ii) normal and (iii) cataract. The students rated the ASE as statistically more ‘real’ than the AR-DRT in three of the four ‘realism’ characteristics with ‘glare and light reflection’ being the same (Fig. 2). A total of 63% of students preferred the ASE to ‘advance their ophthalmoscopy skills’ with 31% favouring the traditional device and 6% not expressing a preference.
Fig. 2

Comparing Arclight simulation eyes with Adam, Rouilly digital retinopathy trainer.

a Box plots comparing the individual and b the overall “realism” characteristics of the Arclight simulation eyes (ASE) and the Adam,Rouilly digital retinopathy trainer (AR-DRT). The scores were obtained using a seven-point Likert scale.

Comparing Arclight simulation eyes with Adam, Rouilly digital retinopathy trainer.

a Box plots comparing the individual and b the overall “realism” characteristics of the Arclight simulation eyes (ASE) and the Adam,Rouilly digital retinopathy trainer (AR-DRT). The scores were obtained using a seven-point Likert scale. As we reshape training in the COVID-19 era, the Arclight and simulation eyes now raise the realistic prospect of being able to cost-effectively equip trainees with their own personal ophthalmoscope and suite of simulation eyes. This can facilitate remote learning in all regions of the world without the need for expensive hardware or internet access ensuring we still educate the next generation of eye care professionals to address the global burden of blindness.
  2 in total

1.  How to minimize the impact of COVID-19 on laparoendoscopic single-site surgery training?

Authors:  Jingyun Xu; Zhihao Zhou; Kai Chen; Yue Ding; Yue Hua; Mulan Ren; Yang Shen
Journal:  ANZ J Surg       Date:  2022-06-16       Impact factor: 2.025

2.  Frugal retinal laser training simulation eyes.

Authors:  Obaid Kousha; Blazej Staniszewski; Juan Lopez Ulloa; Sonali Tarafdar; John Ellis; Andrew Blaikie
Journal:  Eye (Lond)       Date:  2021-06-11       Impact factor: 4.456

  2 in total

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