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Study of anxiety in patients with glaucoma undergoing standard automated perimetry and optical coherence tomography - A prospective comparative study
Indian J Ophthalmol ; 2022 Aug; 70(8): 2883-2887
Article | IMSEAR | ID: sea-224566
ABSTRACT

Purpose:

To compare the anxiety levels related to visual field testing and optical coherence tomography (OCT) in patients with glaucoma.

Methods:

This prospective, comparative study was conducted on patients with glaucoma. The participants’ anxiety traits were assessed using the State-Trait Anxiety Inventory [STAI]. Before visual field testing on Humphrey visual field analyzer (HVF) and retinal nerve fiber analysis on OCT, the participants completed Form Y1 to measure the current pretest level or ‘Stateanxiety [pretest anxiety]. Immediately after testing, participants were administered the Form Y1 questionnaire to assess the induced anxiety level during the testing [Intratest anxiety].

Results:

A total of 228 patients were enrolled with 152 participants in the HVF group and 76 in the OCT group. The mean age of the participants in the HVF group was 57.2 ± 20.8 years and in the OCT group was 56.8 ± 20 years. There was no significant difference in trait and pretest anxiety between the HVF group and the OCT group (P = 0.971 and P = 0.716). Intratest test anxiety score was slightly higher in the HVF group (HVF 42.13 ± 10.63, OCT 40.71 ± 9.76; P = 0.33). The anxiety scores were higher when the experience of previous HVF tests was <2 and least when the number of tests exceeded five.

Conclusion:

Automated perimetry induces slightly more anxiety than OCT, which may affect test performance. The measured anxiety reduces as patients gain familiarity with the test with experience. This adds credence to the recommendation of more frequent visual field testing in newly diagnosed glaucoma patients

Full text: Available Index: IMSEAR (South-East Asia) Journal: Indian J Ophthalmol Year: 2022 Type: Article

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Full text: Available Index: IMSEAR (South-East Asia) Journal: Indian J Ophthalmol Year: 2022 Type: Article