Evidence map›Paper›PMID 32818108›Full record

ArticleTranslational vision science & technology2020

Quality of Life Assessment of Severely Visually Impaired Individuals Using Aira Assistive Technology System.

Kathryn Park, Yeji Kim, Brian J Nguyen, Allison Chen, Daniel L Chao

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Kathryn ParkShiley Eye Institute, Department of Ophthalmology, University of California, San Diego, La Jolla, CA, USA.
Yeji KimShiley Eye Institute, Department of Ophthalmology, University of California, San Diego, La Jolla, CA, USA.
Brian J NguyenShiley Eye Institute, Department of Ophthalmology, University of California, San Diego, La Jolla, CA, USA.
Allison ChenShiley Eye Institute, Department of Ophthalmology, University of California, San Diego, La Jolla, CA, USA.
Daniel L ChaoShiley Eye Institute, Department of Ophthalmology, University of California, San Diego, La Jolla, CA, USA.
University of California, San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To assess patient-reported quality of life outcome improvements in severely visually impaired (SVI) individuals using the Aira system over a 1-year follow-up period. Methods: Aira is an on-demand assistive technology designed for SVI. Aira subscribers were recruited and administered the validated 28-item Impact of Vision Impairment-Very Low Vision Questionnaire by phone before starting Aira with follow-ups at 3 months and 1 year. Total score and validated subset scores of activities of daily living, mobility, and safety (ADLMS) and emotional well-being (EWB) were assessed. Pearson correlation analyses and paired Results: Fifty participants (mean, age, 52.5 years; 25 males, 25 females) were recruited with a mean of 401 ± 66.3 days to follow-up. The initial total score (mean, 53.1 ± 18.9) significantly improved at 1 year (mean, 63.1 ± 16.2; Conclusions: Aira use significantly improves Impact of Vision Impairment-Very Low Vision total, ADLMS, and EWB scores for SVI individuals at 3 months. This improvement is sustained at the 1-year follow-up and correlated with total minutes used. Translational Relevance: Aira technology may provide sustained improvement in quality of life for SVI, and further study to evaluate the usefulness of this technology to assist SVI may be beneficial.

Indexed as

Persons with Visual DisabilitiesSelf-Help DevicesVision, LowActivities of Daily LivingFemaleHumansMaleMiddle AgedQuality of Lifeadaptive technologylow visionquality of lifesevere vision impairmentwearable technology

Identifiers

PMID32818108
PMCPMC7396172
OpenAlexW3011570511

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.