Evidence map›Paper›PMID 32511729›Full record

ArticleOphthalmic surgery, lasers & imaging retina2020

Assessment of Eye Disease and Visual Impairment in the Nursing Home Population Using Mobile Health Technology.

Krystal Y Lai, Mythili P Pathipati, Mark S Blumenkranz, Loh-Shan Leung, Darius M Moshfeghi, Brian C Toy, David Myung

Abstract readMulticenter Study
In one paragraph

Article in Ophthalmic surgery, lasers & imaging retina, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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

7 authors.

Krystal Y Lai
Mythili P Pathipati
Mark S Blumenkranz
Loh-Shan Leung
Darius M Moshfeghi
Brian C Toy
David Myung

Funding

Stanford Vision Research CoreP30EY026877 · NEI · STANFORD UNIVERSITY · PI Jeffrey L Goldberg · 2017 to 2026
$8.0M
NEI NIH HHS P30 EY026877
6 · The paper itself

Abstract

BACKGROUND AND

objectiveTo characterize the burden of eye disease and the utility of teleophthalmology in nursing home patients, a population with ophthalmic needs not commensurate with care received. PATIENTS AND

methodsInformed consent was obtained from 78 California Bay Area skilled nursing facility patients. Near visual acuity (VA) and anterior/posterior segment photographs were taken with a smartphone-based VA app and ophthalmic camera system. The Nursing Home Vision-Targeted Health-Related Quality of Life questionnaire was also administered. Risk factors for visual impairment were assessed. Institutional review board approval was obtained from Stanford University.

resultsCataracts (51%), diabetic retinopathy (DR) (12%), optic neuropathy (12%), and age-related macular degeneration (AMD) (10%) were common findings; 11.7% had other referral-warranted findings. AMD and DR correlated with a higher risk of poor VA, with adjusted odds ratios of 22 (P = .01) and 43 (P = .004).

conclusionsThis study demonstrated a high prevalence of poor VA and ophthalmic disease in the nursing home population impacting quality of life. Smartphone-based teleophthalmology platforms have the potential to increase access to eye care for nursing home patients. [Ophthalmic Surg Lasers Imaging Retina. 2020;51:262-270.].

Indexed as

Quality of LifeSmartphoneVisual AcuityAgedBiomedical TechnologyFemaleHumansMaleMiddle AgedPrevalenceSkilled Nursing FacilitiesSurveys and QuestionnairesTelemedicineUnited StatesVision, Low

Identifiers

PMID32511729
PMCPMC7408519

What OpenQuestion holds

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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.