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A questionnaire-based assessment of Safe Eye Examination (SEE) technique.
Mishra, Divyansh; Shanmugam, Mahesh P; Chaitanya, E Vivek; Murali, Kaushik; Ramanjulu, Rajesh; Kulkarni, Mayur; Nair, Sukanya.
  • Mishra D; Department of Vitreo-Retina and Ocular Oncology, Sankara Eye Hospital, Bengaluru, Karnataka, India.
  • Shanmugam MP; Department of Vitreo-Retina and Ocular Oncology, Sankara Eye Hospital, Bengaluru, Karnataka, India.
  • Chaitanya EV; Department of Vitreo-Retina and Ocular Oncology, Sankara Eye Hospital, Bengaluru, Karnataka, India.
  • Murali K; Department of Vitreo-Retina and Ocular Oncology, Sankara Eye Hospital, Bengaluru, Karnataka, India.
  • Ramanjulu R; Department of Vitreo-Retina and Ocular Oncology, Sankara Eye Hospital, Bengaluru, Karnataka, India.
  • Kulkarni M; Department of Vitreo-Retina and Ocular Oncology, Sankara Eye Hospital, Bengaluru, Karnataka, India.
  • Nair S; Department of Vitreo-Retina and Ocular Oncology, Sankara Eye Hospital, Bengaluru, Karnataka, India.
Indian J Ophthalmol ; 69(9): 2321-2325, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1371019
ABSTRACT

PURPOSE:

This study aims to assess the novel and innovative method of Safe Eye Examination (SEE) technique using the model eye for the purpose of teaching, training, and resident examination.

METHODS:

A questionnaire-based study (Descriptive Data) with 53 participants, including ophthalmology residents, fellows in various subspecialties, and trainee optometrists was used. In our study, we used the Reti Eye model, but instead of the usual retina template sheet, we used prominent pathological fundus photographs loaded into the model eye. The study participants were asked to view prominent pathological fundus images printed on a matte finish paper. A circular image was cut and was placed in the Reti Eye model. The candidates were made to perform indirect ophthalmoscopy with a + 20D lens and to fill up a Google image assessment scale questionnaire with characteristics, including pixelation, sharpness, contrast, reflexes, blotchy appearance, and diagnostic confidence, which were then analyzed and depicted. Association between categorical variables was analyzed using Fisher exact test and Chi-square test. A P value of less than 0.05 was considered statistically significant. All data were analyzed with a statistical software package (SPSS, Version 16.0 for Windows).

RESULTS:

The number of positive responses (>90%) obtained for the pixelation, sharpness, contrast, reflexes, blotchy appearance, and diagnostic confidence of the image viewed were statistically more significant than the negative responses (P < 0.05).

CONCLUSION:

The SEE technique of using the model eye can be incorporated for teaching, training, and skill assessment in the examinations in these difficult times of COVID-19 (coronavirus disease 2019) pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Randomized controlled trials Limits: Humans Language: English Journal: Indian J Ophthalmol Year: 2021 Document Type: Article Affiliation country: Ijo.IJO_3316_20

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Randomized controlled trials Limits: Humans Language: English Journal: Indian J Ophthalmol Year: 2021 Document Type: Article Affiliation country: Ijo.IJO_3316_20