Evidence map›Paper›PMID 39083649›Full record

ReviewDisability and rehabilitation. Assistive technology2025

Transitioning vision rehabilitation patients from over-the-counter magnifiers to prescribed aids.

Ava K Bittner, Patrick D Yoshinaga, John E Kaminski

Abstract readReview
In one paragraph

Review in Disability and rehabilitation. Assistive technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ava K BittnerDepartment of Ophthalmology, University of California Los Angeles, Stein Eye Institute, Los Angeles, CA, USA.
Patrick D YoshinagaSouthern California College of Optometry, Marshall B. Ketchum University, Fullerton, CA, USA.
John E KaminskiMid-Michigan Eye Care, Midland, MI, USA.

Funding

Beacon Sensors and Telerehabilitation to Assess and Improve use of Devices (BeST-AID) for Low VisionR01EY034627 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AVA K BITTNER · 2023 to 2026
$1.7M
Beacon Sensors and Telerehabilitation to Assess and Improve use of Devices for visual functioning (BeST-AID)R21EY029883 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BITTNER, AVA K · 2019 to 2020
$470k
Development of a Behavioral Intervention with Socially Assistive Robots to Enhance Magnification Device Use for ReadingR21EY031126 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BITTNER, AVA K · 2020 to 2021
$440k
NEI NIH HHS R01 EY034627NEI NIH HHS R21 EY029883NEI NIH HHS R21 EY031126
6 · The paper itself

Abstract

purposeWe determined over-the-counter magnifier usage rates by patients who newly presented for vision rehabilitation services, and sought to elucidate whether patients' ratings of over-the-counter magnifiers were associated with vision rehabilitation management strategies.

methodsRetrospective records reviews of 274 new vision rehabilitation patients seen between 2021-2023 were completed by three optometric providers at an ophthalmic academic center, college of optometry, and private practice.

resultsOver half (58%) of patients tried an over-the-counter magnifier. Older age was significantly associated with trying over-the-counter magnifiers (OR:1.04;

conclusionsSince most new patients were unsatisfied with over-the-counter magnifiers, it is encouraging that previous over-the-counter magnifier use often led to upgrades with hand-held optical illuminated magnifiers prescribed by vision rehabilitation providers, or patients were transitioned to CCTV electronic magnifiers or spectacle-based high add powers for near reading. These findings support that older adults who have previously experienced that over-the-counter magnifiers were either helpful or unhelpful are ideal candidates to receive vision rehabilitation by optometric providers who can transition them to a prescribed magnification device to better support their visual functioning needs for near reading.

Indexed as

EyeglassesSensory AidsVision DisordersAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedOptometryRetrospective Studieslow visionmagnificationMagnifiervision rehabilitationvisual impairment

Identifiers

PMID39083649
PMCPMC12118344

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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.