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Evaluation of a paper-based visual acuity questionnaire

Overview of attention for article published in Clinical Ophthalmology, June 2017
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Title
Evaluation of a paper-based visual acuity questionnaire
Published in
Clinical Ophthalmology, June 2017
DOI 10.2147/opth.s138399
Pubmed ID
Authors

Miki Uchino, Motoko Kawashima, Minako Kaido, Kazuhisa Suwaki, Yuichi Uchino, Ichiro Kawachi, Kazuno Negishi, Kazuo Tsubota

Abstract

To validate a paper-based visual acuity (PBVA) questionnaire. In 2015, a cross-sectional survey was conducted among 301 young and middle-aged, mostly male, Japanese subjects. The participants were asked to self-rate their visual acuity (VA) on a scale from 1 to 5. Self-ratings of VA were categorized into three groups: good (1 and 2), normal (3), and poor (4 and 5). For objective validation, we performed a functional VA (FVA) assessment in the same subjects. A total of 301 subjects answered the PBVA and completed the FVA test including initial VA. We found out that the result of PBVA was significantly correlated with FVA test and initial VA (r=0.33, P<0.0001, r=0.273, P<0.0001). The trend test analysis between PBVA and FVA also showed statistically significant (P<0.0001). There was a significant statistical correlation between the PBVA and the FVA, as well as the initial VA. This short questionnaire on VA might be a sensitive tool that is easy to implement and utilized in large epidemiological and clinical researches.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 21%
Professor 2 14%
Student > Ph. D. Student 2 14%
Professor > Associate Professor 2 14%
Student > Master 1 7%
Other 3 21%
Unknown 1 7%
Readers by discipline Count As %
Medicine and Dentistry 7 50%
Psychology 5 36%
Nursing and Health Professions 1 7%
Unknown 1 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 December 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Clinical Ophthalmology
#3,207
of 3,714 outputs
Outputs of similar age
#289,180
of 330,503 outputs
Outputs of similar age from Clinical Ophthalmology
#35
of 40 outputs
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