Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Vision-related activity difficulties in people diagnosed with neovascular age-related macular degeneration and with vision impairment.
Author Affiliations & Notes
  • Antonio Macedo
    Department of Medicine and Optometry, Linnaeus University, Kalmar, Sweden
  • Ida Nilsson
    Department of Medicine and Optometry, Linnaeus University, Kalmar, Sweden
    Department of Ophthalmology, Region Kalmar Lan (Hospital), Kalmar, Sweden
  • Cecilia Svanfeldt
    Department of Ophthalmology, Region Kalmar Lan (Hospital), Kalmar, Sweden
  • Jeanette Melin
    Division Safety and Transport, Measurement Science and Technology, RISE Research Institutes of Sweden, Gothenburg, Sweden
  • Camilla Mohlin
    Department of Chemistry and Biomedicine, Linnaeus University, Kalmar, Sweden
  • Karthikeyan Baskaran
    Department of Medicine and Optometry, Linnaeus University, Kalmar, Sweden
  • Footnotes
    Commercial Relationships   Antonio Macedo None; Ida Nilsson None; Cecilia Svanfeldt None; Jeanette Melin None; Camilla Mohlin None; Karthikeyan Baskaran None
  • Footnotes
    Support  FORSS-968794, FORSS-981039, Ögonfonden
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 443. doi:
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      Antonio Macedo, Ida Nilsson, Cecilia Svanfeldt, Jeanette Melin, Camilla Mohlin, Karthikeyan Baskaran; Vision-related activity difficulties in people diagnosed with neovascular age-related macular degeneration and with vision impairment.. Invest. Ophthalmol. Vis. Sci. 2024;65(7):443.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Our aim was to assess vision-related activity difficulties (visual ability) among patients with neovascular AMD using a Swedish version of the Massof Activity Inventory (MAI).

Methods : Participants were diagnosed with neovascular age-related macular degeneration (nAMD) and receiving treatment for the disease in a hospital in Sweden. Participants completed the Swedish version of the MAI questionnaire, best corrected distance and near visual acuity (VA) were measured. MAI is formed of 50 goals (items) and can be used to measure the overall or specific visual ability in 4 functional domains: reading, mobility, visual motor function, and visual information processing. Charlson comorbidity index weighted by age was computed.

Results : There was a total of 196 participants (mean age=78.5 years, SD=7.67, 66% female), 67 with vision impairment defined as distance VA in the better eye 0.32 logMAR or worse. Among the visually impaired, median VA was 0.53 logMAR (IQR=0.22). The median Charlson comorbidity index weighted by age was 4, range 0 to 15. After excluding participants with VA better than 0.32 logMAR, 12 items were excluded from the final Rasch analysis due to poor fitting. The mean visual ability for the visually impaired participants was 1.64 logits (SD= 1.55). The most difficult item was "sew and needlework" and the less difficult was "eat meals", items removed included, for example, "fishing" or "do electrical work". Visual ability was correlated with distance VA (p=0.043), near VA (p=0.01) and Charlson comorbidity index (p=0.026).

Conclusions : The current results revealed that the MAI produces reliable measures of visual ability among patients with nAMD and can be used for vision rehabilitation outcomes. Some items in the Swedish version of the MAI seem redundant for patients with nAMD. Shorter instruments are always preferrable, and we will investigate further the possibility of an item reduction for this target group.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

 

Targeting of Item Threshold Locations Compared to Person Locations
Item measures (bottom) compared with person measures (top). The offset between the peak counts for items and persons shows some deviation but reasonable good targeting.

Targeting of Item Threshold Locations Compared to Person Locations
Item measures (bottom) compared with person measures (top). The offset between the peak counts for items and persons shows some deviation but reasonable good targeting.

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