Visual Ability of Patients Seeking Outpatient Low Vision Services in the United States

Goldstein, Judith E.; Chun, Melissa W.; Fletcher, Donald C.; Deremeik, James T.; Massof, Robert W.

doi:10.1001/jamaophthalmol.2014.1747

Cited by 43 publications

(66 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our results for the AI are in agreement with what other authors found for patients with VI due to various causes (Pearce et al 2011;Goldstein et al 2014) or VI caused by specific eye diseases such as diabetic retinopathy (Dunbar et al 2012). The effect of age on visual ability obtained with the AI has been found before and has been explained by the overall physical functioning decline explained by aging (Goldstein et al 2014). In addition, the sensitivity of the AI to the effect of VI in the worse eye is a further explanation why lower visual ability scores were obtained in the older group.…”

Section: Discussionsupporting

confidence: 93%

“…Self-report instruments used to assess visual functioning include the National Eye Institute Visual Functioning Questionnaire (NEI-VFQ) (Mangione et al 2001), the Impact of Vision Impairment Questionnaire (IVI) (Weih et al 2002), and the Activity Inventory (AI) Massof et al 2007). In our study the AI was adopted to estimate person measures, mostly because it has been developed and used specifically for individuals with low vision and we had access to the item calibration file Goldstein et al 2014). …”

Section: Precismentioning

confidence: 99%

See 1 more Smart Citation

Visual and health outcomes, measured with the activity inventory and the EQ‐5D, in visual impairment

Macedo

Ramos

Hernández-Moreno

et al. 2017

Acta Ophthalmologica

View full text Add to dashboard Cite

PurposeGeneric instruments to assess health utilities can be used to express the burden of health problems in widely used indexes. That is in contrast with what can be obtained with condition-specific instruments, outcomes are very specific and difficult to compare across conditions. The purpose of this study was to assess health and visual outcomes and its determinants in patients with visual impairment (VI) using the EQ-5D-3L and the Activity-inventory (AI). MethodsParticipants were recruited in different hospitals during the PCVIP-study. A total of 134 patients with acuity 0.30 logMAR or less in the better eye were interviewed. The AI includes 46 goals split between three objectives: social functioning, recreation and daily living, was used to measure visual ability. The EQ-5D consists of five questions covering one domain each and was used to provide a measure of health states. Responses to each domain were combined to produce a single individual index.ResultsThe AI and the EQ-5D-3L showed enough discriminatory power between VI levels (p<.001) and their results were strongly correlated r(134)=.825, (p<.001). Explanatory factors for visual ability were level of VI in better eye, age and gender, R 2 =.43, (p<.001). Explanatory factors for the EQ-5D-3L were level of VI in the better eye, comorbidities and gender, R 2 =.36, (p<.001). ConclusionsOur results showed that the EQ-5D-3L is useful when characterizing the burden of VI and to compute, when necessary, quality-adjusted-life-years (QALY) changes due to VI. However, is important to consider that the EQ-5D-3L uses a coarse response scale, assesses a limited spectrum of domains and is influenced by comorbidities. This might limit its responsiveness to small changes in visual ability.

show abstract

Section: Discussionsupporting

confidence: 93%

Section: Precismentioning

confidence: 99%

Visual and health outcomes, measured with the activity inventory and the EQ‐5D, in visual impairment

Macedo

Ramos

Hernández-Moreno

et al. 2017

Acta Ophthalmologica

View full text Add to dashboard Cite

show abstract

“…The item measures were anchored to item measures determined from a separate, larger cohort of glaucoma subjects seen at low vision clinics (n ¼ 212) who were asked the same questions about reading difficulty. 25 Analysis of differential item function (DIF) with the Mantel-Haenszel method was used to investigate each item for signs of dependencies on patient sample characteristics. 26 We used v 2 -type fit statistics to test the measurement validity of the observed item responses by evaluating the fit of the data to the expectations of the Rasch normative measurement model.…”

Section: Statistical Methods and Programmingmentioning

confidence: 99%

Reading Ability and Reading Engagement in Older Adults With Glaucoma

Nguyen

Landingham

Massof

et al. 2014

Invest. Ophthalmol. Vis. Sci.

Self Cite

View full text Add to dashboard Cite

Citation: Nguyen AM, van Landingham SW, Massof RW, Rubin GS, Ramulu PY. Reading ability and reading engagement in older adults with glaucoma. Invest Ophthalmol Vis Sci. 2014;55:5284-5290. DOI:10.1167/ iovs.14-14138 PURPOSE. We evaluated the impact of glaucoma-related vision loss on reading ability and reading engagement in 10 reading activities.METHODS. A total of 63 glaucoma patients and 59 glaucoma suspect controls self-rated their level of reading difficulty for 10 reading items, and responses were analyzed using Rasch analysis to determine reading ability. Reading engagement was assessed by asking subjects to report the number of days per week they engaged in each reading activity. Reading restriction was determined as a decrement in engagement.RESULTS. Glaucoma subjects more often described greater reading difficulty than controls for all tasks except puzzles (P < 0.05). The most difficult reading tasks involved puzzles, books, and finances, while the least difficult reading tasks involved notes, bills, and mail. In multivariable weighted least squares regression models of Rasch-estimated person measures of reading ability, less reading ability was found for glaucoma patients compared to controls (b ¼ À1.60 logits, P < 0.001). Among glaucoma patients, less reading ability was associated with more severe visual field (VF) loss (b ¼ À0.68 logits per 5-dB decrement in better-eye VF mean deviation [MD], P < 0.001) and contrast sensitivity (b ¼ À0.76 logits per 0.1-unit lower log CS, P < 0.001). Each 5-dB decrement in the better-eye VF MD was associated with book reading on 18% fewer days (P ¼ 0.003) and newspaper reading on 10% fewer days (P ¼ 0.008). No statistically significant reading restriction was observed for other reading activities (P > 0.05).CONCLUSIONS. Glaucoma patients have less reading ability and engage less in a variety of different reading activities, particularly those requiring sustained reading. Future work should evaluate the mechanisms underlying reading disability in glaucoma to determine how patients can maintain reading ability and engagement.

show abstract

“…Correlation between LogMAR visual acuity and basic visual ability and all functions was observed. Visual acuity has been found to be the strongest determinant of visual ability and reading ability and has also been found to have a significant independent effect on other functional areas [27].…”

Section: Discussionmentioning

confidence: 99%

The Effect of Initial Visual Acuity on Visual Prognosis in Low Vision Aid and Rehabilitation Cases

Altınbay¹,

Mehmet²

2018

Int J Ophthalmol Clin Res

View full text Add to dashboard Cite

Purpose: To analyze the initial visual acuities of cases referred to our clinic due to low vision and the effect on visual prognosis. Materials and methods:A retrospective evaluation was carried out on 869 eyes of 464 patients who were referred to our center due to low vision between December 2010 and May 2015. Distance acuities of the patients were measured with a distant vision chart prepared for patients with low vision, and the near acuities were measured with a Jaeger near vision chart. Patients with logMAR ≥ 0.5 [snellen ≤ 20/63] visual acuity were included in the study. Cases were separated into 4 groups according to initial distant acuity and 3 groups according to the initial near acuity values. In the statistical analysis, a value of p < 0.05 was accepted as statistically significant. Results:The mean distant acuity of the cases was found to be 0.13 ± 0.11 (Snellen) (mean logMAR 0.9) and 0.55 ± 0.29 (Snellen) (mean logMAR 0.3) respectively before and after the low vision aid (LVA) examination. The mean near acuity of the cases was J 13.93 ± 4.21 (mean logMAR 0.8) and J 7.76 ± 4.51 (mean logMAR 0.4) respectively before and after the LVA. Initial distant visual acuity was logMAR > 1. Conclusion:The visual acuity at the time of application is the primary factor affecting LVA success. In this study, the visual acuity of the cases referred to our center for LVA was evaluated as quite low, sufficient time could not be allocated to cases due to intense polyclinic conditions and patients were referred late. With earlier referral, it would be possible to enable patients to remain more self-sufficient.

show abstract

Visual Ability of Patients Seeking Outpatient Low Vision Services in the United States

Cited by 43 publications

References 40 publications

Visual and health outcomes, measured with the activity inventory and the EQ‐5D, in visual impairment

Visual and health outcomes, measured with the activity inventory and the EQ‐5D, in visual impairment

Reading Ability and Reading Engagement in Older Adults With Glaucoma

The Effect of Initial Visual Acuity on Visual Prognosis in Low Vision Aid and Rehabilitation Cases

Contact Info

Product

Resources

About