Does Age-Related Macular Degeneration (AMD) Treatment Influence Patient Falls and Mobility? A Systematic Review

Garrigan, Hannah; Hamati, Jacquelyn N; Lalakia, Parth; Frasso, Rosemary; Salzman, Brooke; Hyman, Leslie

doi:10.1080/09286586.2021.1921227

Cited by 5 publications

(9 citation statements)

References 44 publications

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“…The difficulty responses were Rasch analysed with the Andrich rating scale model [48] and Winsteps program (v4.0) to produce a continuous measure of "visual ability" given by the output variable "person measure". Calibration values for the items were gently provided by Goldstein and colleagues [46,49]. Fitting data to the Rasch model places item and person parameter estimates on the same log-odds units (logit) scale, which gives a linear transformation of the raw score.…”

Section: The Questionnairesmentioning

confidence: 99%

Predictors of problems reported on the EQ-5D-3L dimensions among people with impaired vision in northern Portugal

Macedo

Hellström

Massof

et al. 2022

Health Qual Life Outcomes

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Background The EQ-5D index often fails to detect the effect of ophthalmic diseases and sight loss. Investigating predictors of individual EQ-5D health dimensions might reveal the underlying reasons. The aim of this study was to investigate predictors of health dimension ratings obtained with the EQ-5D-3L from participants with impaired vision representing a spectrum of eye diseases. Methods Observational cross-sectional study with participants recruited at four public hospitals in Portugal. Outpatients with visual acuity of 0.30 logMAR(6/12) or worse in the better-seeing eye were invited to participate. Participants completed two instruments: the EQ-5D-3L (measures participants’ perceived health-related quality-of-life) and the Massof Activity Inventory (measures visual ability–ability to perform vision-related activities). This study used logistic regression models to identify factors associated with responses to the EQ-5D-3L. Results The study included 492 participants, mean age 63.4 years (range = 18–93), 50% females. The most common diagnosis was diabetic retinopathy (37%). The mean visual acuity in the better seeing eye was 0.65 logMAR (SD = 0.48) and the mean visual ability was 0.62 logits (SD = 2.04), the correlation between the two was r = − 0.511 (p < 0.001). Mobility and self-care were the health dimensions with the fewest problems (1% reported extreme problems), anxiety and depression the dimension with the most problems (24% reported extreme problems). ROC curve analysis showed that the EQ-5D index was a poor predictor of cases of vision impairment whilst visual ability given was a good predictor of cases of vision impairment. Visual ability was an independent predictor of the response for all dimensions, higher ability was always associated with a reduced odds of reporting problems. The odds of reporting problems were increased for females in 3 out of 5 dimensions. Comorbidities, visual acuity and age-category were predictors of the odds of reporting problems for one dimension each. Conclusions The odds of reporting problems for the five health dimensions of the EQ-5D-3L were strongly influenced by the ability to perform vision-related activities (visual ability). The EQ-5D index showed poor performance at detecting vision impairment. These findings are informative and relevant for the clinic and for research evaluating the impact of eye diseases and disease treatments in ophthalmology.

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Section: The Questionnairesmentioning

confidence: 99%

Predictors of problems reported on the EQ-5D-3L dimensions among people with impaired vision in northern Portugal

Macedo

Hellström

Massof

et al. 2022

Health Qual Life Outcomes

View full text Add to dashboard Cite

show abstract

“…The di culty responses were Rasch analysed with the Andrich rating scale model (44) and Winsteps program (v4.0) to produce a continuous measure of "visual ability" given by the output variable "person measure". Calibration values for the items were gently provided by Goldstein and colleagues (42,45). Fitting data to the Rasch model places item and person parameter estimates on the same log-odds units (logit) scale, which gives a linear transformation of the raw score.…”

Section: Data Collectionmentioning

confidence: 99%

Predictors of Health Dimensions of the EQ-5D-3L in People with Impaired Vision

Macedo

Hellström

Massof

et al. 2022

Preprint

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Background The EQ-5D index often fails to detect the effect of ophthalmic diseases and sight loss. Investigating predictors of individual EQ-5D health dimensions might reveal the underlying reasons. The aim of this study was to investigate predictors of health dimension ratings obtained with the EQ-5D-3L from participants with impaired vision representing a spectrum of eye diseases. Methods Observational cross-sectional study with participants recruited at four public hospitals in the north of Portugal. Out-patients with visual acuity of 0.30 logMAR (6/12) or worse in the better-seeing eye were invited to take part in the study. Higher values of acuity in logMAR correspond to worse vision. Participants completed two instruments: the EQ-5D-3L and the Massof Activity Inventory (MAI). The MAI provides a measure of visual ability ‒the ability to perform vision-related activities. Higher values of visual ability correspond to greater ease performing activities. The EQ-5D-3L is a generic instrument that frequently is used to quantify the participants’ perceived health-related quality of life. This study used logistic regression models to identify factors associated with self-reported health status estimated from patient responses to the EQ-5D-3L. Results The study included 492 participants, mean age 63.4 years (range = 18–93) and 50% females. The most common diagnosis was diabetic retinopathy (37%). The mean visual acuity in the better seeing eye was 0.65 logMAR (SD = 0.48) and the mean visual ability was 0.62 logits (SD = 2.04), correlation between the two was − 0.511 (p < 0.001). Mobility and self-care were the health dimensions with the fewest problems (1% reported extreme problems), anxiety and depression the dimension with the most problems (24% reported extreme problems). Visual ability was an independent predictor of the response for all dimensions, higher ability was always associated with a reduced odds of reporting problems. The odds of reporting problems were increased for females in 3 out of 5 dimensions. Comorbidities, visual acuity and age-category were predictors of the odds of reporting problems for one dimension each. Conclusions The odds of reporting problems for the five health dimensions of the EQ-5D-3L are strongly influenced by the ability to perform vision-related activities (visual ability). These findings are informative and relevant for the clinic and for research evaluating the impact of eye diseases and disease treatments in ophthalmology.

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“…4 For eye diseases that lead to irreversible vision loss, such as AMD, early interventions can be critical. 7 Yet, the USPTSF recommendation found that there was not enough interventional data showing the downstream benefits of impaired visual acuity screening for averting or reversing vision loss.…”

mentioning

confidence: 99%

“…17 There is also limited evidence for the potential positive impact of AMD treatments on patient mobility and falls. 7 Additional interventional research is needed to test the downstream nonophthalmic gains of screening for vision impairment among older adults.…”

mentioning

confidence: 99%

“…Almost 80% of vision impairment and 25% of blindness in the US is preventable or treatable with prescription eye glasses and surgical cataract treatment, interventions with high clinical- and cost-effectiveness . For eye diseases that lead to irreversible vision loss, such as AMD, early interventions can be critical . Yet, the USPTSF recommendation found that there was not enough interventional data showing the downstream benefits of impaired visual acuity screening for averting or reversing vision loss.…”

mentioning

confidence: 99%

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Vision Impairment Has Implications for Aging and Health Outcomes, Beyond Ophthalmology

2022

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Does Age-Related Macular Degeneration (AMD) Treatment Influence Patient Falls and Mobility? A Systematic Review

Cited by 5 publications

References 44 publications

Predictors of problems reported on the EQ-5D-3L dimensions among people with impaired vision in northern Portugal

Predictors of problems reported on the EQ-5D-3L dimensions among people with impaired vision in northern Portugal

Predictors of Health Dimensions of the EQ-5D-3L in People with Impaired Vision

Vision Impairment Has Implications for Aging and Health Outcomes, Beyond Ophthalmology

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