Deniz Altınbay1,2,3, Esra Şahlı2,3, Şefay Aysun İdil2. 1. Private NivEye Center, Adana, Turkey. 2. Ankara University Faculty of Medicine, Department of Ophthalmology, Vision Studies and Low Vision Rehabilitation Unit, Ankara, Turkey. 3. Ankara University Graduate School of Health Sciences, Ankara, Turkey.
The printed and the tablet application forms of the Turkish version of the Minnesota Low Vision Reading (MNREAD) charts (with the permission of Aysun İdil)
An example of the MNREAD curve of a normally sighted participant with RA = 0.40 logMAR CPS = 0.80 logMAR, ACC = 0.92, and MRS = 209 wpm. Reading speed shows a plateau
An example of the MNREAD curve of a low vision participant with RA = 0.53 logMAR, CPS = 1.10 logMAR, ACC = 0.40, and MRS = 105 wpm. Reading speed does not plateau
In this experimental study, the paired samples t-test/Wilcoxon signed-rank test was used to compare the two testing methods. Bland-Altman plots were used for comparative analysis of MNREAD chart/application performance. IBM SPSS Statistics Version 20.0 (IBM Corp, Armonk, NY, USA) statistical software package was used for all statistical analyses. Statistical significance was accepted as p<0.05 for all tests.
Results
The normally sighted group consisted of 92 people (37 males and 55 females) with a mean age of 26.24±5.97 years (median, 25). The low-vision group consisted of 24 people (12 males and 12 females) with a mean age of 50.92±29.45 years (median, 57). Of the low-vision individuals, 13 (54%) had age-related macular degeneration (AMD), 7 (29%) had albinism, and 4 (17%) had cone dystrophy. The mean distance visual acuity in this group was 0.73±0.20 logMAR (0.21±0.09 decimal).The reading parameter values of individuals with normal vision obtained by printed chart and tablet application are shown in Table 1. No statistically significant difference was found in RA and CPS between the methods (p=0.083 and p=0.075, respectively). However, MRS and ACC differed significantly between the methods (p<0.001 for both) (Table 1). The mean MRS was significantly faster in the chart method (2.36 logWPM, 95% confidence interval [CI]: 2.35-2.38) than in the tablet application method (2.22 logWPM, 95% CI: 2.21-2.24) (Figure 4). The mean ACC was significantly higher with the chart (1.19, 95% CI: 1.16-1.23) than the application (0.86, 95% CI: 0.83-0.88) in normally sighted individuals (p<0.001 for both).
Table 1
Comparison of MNREAD parameters in the printed and the tablet application form in the normally sighted group
Figure 4
Comparison of the maximum reading speed (MRS) in the MNREAD tablet application and printed forms in the normally sighted group. Bland-Altman plots show the difference between measured MRS plotted against the mean MRS in normally sighted individuals. The red dashed lines show the average difference and the blue dashed lines show the limits of agreement (±1.96 SD). The dotted lines represent the 95% confidence interval
The reading parameter values obtained with the two methods in individuals with low vision are shown in Table 2. There was no statistically significant difference in RA and ACC between the methods (p=0.159 and p=0.103, respectively), while MRS and CPS differed significantly (p<0.001 and p=0.015, respectively) (Table 2). The mean MRS was significantly faster with the printed chart method (1.89 logWPM, 95% CI: 1.78-2.01) than with the tablet application (1.77 logWPM, 95% CI: 1.68-1.87) (Figure 5). The mean CPS was found to be statistically higher with the chart (1.19, 95% CI: 1.16-1.23) than the application (0.86, 95% CI: 0.83-0.88) in low-vision individuals (p<0.001 for both).
Table 2
Comparison of MNREAD parameters in the printed and the tablet application form of MNREAD in the low-vision group
Figure 5
Comparison of the maximum reading speed (MRS) in the low vision group in the printed and the tablet application forms of MNREAD. Bland-Altman plots show the difference between measured MRS plotted against the mean MRS in low-vision individuals. The red dashed lines show the average difference and the blue dashed lines show the limits of agreement (±1.96 SD). The dotted lines represent the 95% confidence interval
Discussion
Assessment of reading performance in low-vision rehabilitation is important for determining reading aids and rehabilitation strategies and monitoring the rehabilitation process.[19] Calabrèse et al.[14] compared the results obtained from the printed MNREAD chart and tablet application and found them to be consistent. Our study is a similar study using the Turkish version of MNREAD. In this study, RA results were similar with both methods in individuals with normal vision and low vision. RA and ACC results, which are important for near visual rehabilitation, were similar in individuals with low vision. This suggests that the MNREAD tablet application may be especially useful in the low-vision rehabilitation setting. The MNREAD iPad application has advantages such as being practical and fast, offering two polarities and different language options, recording reading speed, displaying graphical results, estimating the MNREAD curve, providing MNREAD parameter calculations, and saving and sharing the data.[20] These advantages increase the possibility of using the MNREAD application.[14]There are limited studies in the literature regarding the use of tablets in near vision examinations. Varadaraj et al.[21] compared the results of tablet-based tests and MNREAD acuity chart test in near visual acuity test and found that the RA values were consistent. Although the results of their study are valuable, parameters other than RA were not considered. Calabrèse et al.[14] evaluated all parameters of the MNREAD reading test. Reading speed is generally considered the primary parameter in the studies investigating reading performance.[22,23] Calabrèse et al.[14] found higher MRS values with the printed charts than with the tablet application in the normally sighted group, and the difference was greater in those with high MRS. They attributed the difference in MRS values between printed and application methods to the difference in timing methods and suggested that a coefficient could be used to make the MRS results equivalent in two forms.[14] In their study, they determined this equivalence coefficient to be 1.1 for MRS results in the normally sighted group. In our study, we found that the MRS values were also higher with the printed chart compared to the application in both the normal-sighted and low-vision groups, with an equivalence coefficient of 1.37 in both groups. It was seen that this coefficient can also be used for ACC in the group with normal vision.In the study by Calabrèse et al.,[14] there was no significant difference between RA estimated with the printed chart and with the application in the normally sighted group. In our study, the RA values were similar with both methods in both groups. Xiong et al.[24] reported that RA is a more important criterion for reading performance than measuring near visual acuity. Therefore, finding similar RA with both methods is important in terms of reading performance evaluation in near vision examination.Calabrèse et al.[14] reported that CPS, MRS, and ACC values were similar but RA values were better with the tablet application in the low-vision group. In our study, we found that RA and ACC values were similar in the low-vision group. Contrary to previous results, in our study, CPS in the low-vision group was smaller in the tablet application method. We believe displaying the sentences one after the other may have prevented confusion.The differences between studies may be associated with the fact that we used the Turkish version of MNREAD. Differences in reading speeds in various languages have been demonstrated using the International Reading Speed Test (IReST). In this study, the reading speed for the 18-35 age group was determined as 166 wpm for Turkish and 228 wpm for English.[25] The difference between the results may also be related to the different age ranges in the studies. In a study investigating the effect of age, education, and gender on reading speed, the average number of syllables read by participants aged 20-35 was found to be higher than the average number of syllables read by participants aged 46-55.[26] The age ranges in our study were 18-49 years in normally sighted individuals and 18-89 years in low-vision individuals, while those in the study by Calabrèse et al.[14] were 8-72 years in normal-sighted individuals and 22-93 years in low-vision individuals. Although the groups in our study differed in age, there was no between-group comparison. Each group was tested by two methods separately and the results obtained from the methods were compared.It was reported that ACC is an important indicator of reading performance in daily life in people with low vision.[15,16,17] In our study, the similarity of ACC results with both methods among low-vision participants was particularly promising for the use of MNREAD tablet application in this group. Consistency in important parameters of reading performance (RA and ACC) between the tablet-based and chart-based forms of the MNREAD-TR version in individuals with low vision is critical in terms of increasing the use of MNREAD iPad application.The main difference between the iPad application and the printed chart was reported to be related to the digital image of the text. However, through the design of the iPad application on the Retina display, reading speed was suggested to be largely equivalent to the printed chart. The disadvantage of a reduced range of print sizes in the application form has also been overcome by increasing the viewing distance.[14]Measurement of visual performance is necessary at various stages, such as evaluating the patient’s functional vision, disease progression, and evaluating the success of treatment or rehabilitation. We would like to emphasize the importance of using continuous text-based methods in measuring a person’s visual performance. With its many advantages, the MNREAD tablet application also seems to be a good option for clinical practice.
Study Limitations
Some of the limitations of our study include the heterogenic distribution of diagnoses of low-vision patients, the small number of patients in the low-vision group, and the dissimilarity of patients in the low-vision group and the normal-vision group in terms of age and gender. However, we do not consider these limitations critical as the groups in the study were not compared to each other, but each group was evaluated within itself in terms of MNREAD parameters.
Conclusion
Our study contributes to the literature by expanding the evaluation of the MNREAD tablet application in a language other than English. According to our results, the MNREAD tablet application can be preferred especially in the low-vision group for RA and ACC results, which are the most important determinants of reading performance. The reading speed difference and coefficient of equivalence between the two methods should be investigated in further studies. Similar studies need to be planned for different languages, with more participants in specific groups with the same diagnosis and similar age range and visual acuity.
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