Evidence map›Paper›PMID 32864157›Full record

ArticleBMJ innovations2019

Usability testing of a smartphone-based retinal camera among first-time users in the primary care setting.

Patrick Li, Yannis M Paulus, Jose R Davila, John Gosbee, Todd Margolis, Daniel A Fletcher, Tyson N Kim

Open access · greenAbstract read
In one paragraph

Article in BMJ innovations, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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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 at 4 institutions in 1 country.

Patrick LiDepartment of Ophthalmology and Visual Sciences, University of Michigan School of Medicine, Ann Arbor, MI, USA.
Yannis M PaulusDepartment of Ophthalmology and Visual Sciences, University of Michigan School of Medicine, Ann Arbor, MI, USA.
Jose R DavilaDepartment of Ophthalmology, Stanford University School of Medicine, Palo Alto, CA, USA.
John GosbeeDepartment of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, MI, USA.
Todd MargolisDepartment of Ophthalmology and Visual Sciences, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
Daniel A FletcherDepartment of Bioengineering and Biophysics Program, University of California, Berkeley, Berkeley, CA, USA.
Tyson N KimDepartment of Ophthalmology and Visual Sciences, University of Michigan School of Medicine, Ann Arbor, MI, USA.
University of Michigan–Ann Arbor · USStanford University · USUniversity of California, Berkeley · USWashington University in St. Louis · US

Funding

Michigan Vision Clinician Scientist Development ProgramK12EY022299 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Abigail Fahim, DAVID N ZACKS · 2013 to 2026
$6.3M
Real-time In Vivo Visualization of the Molecular Processes in Choroidal NeovascularizationK08EY027458 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PAULUS, YANNIS MANTAS · 2018 to 2021
$898k
NEI NIH HHS K08 EY027458NEI NIH HHS K12 EY022299
6 · The paper itself

Abstract

Smartphone-based retinal photography is a promising method for increasing accessibility of retinal screening in the primary care and community settings. Recent work has focused on validating its use in detection of diabetic retinopathy. However, retinal imaging can be technically challenging and additional work is needed to improve ease of retinal imaging in the primary care setting. We therefore performed usability testing of a smartphone-based retinal camera, RetinaScope, among medical assistants in primary care who had never performed retinal imaging. A total of 24 medical assistants performed first-time imaging in a total of five rounds of testing, and iterative improvements to the device were made between test rounds based on the results. The time to acquire a single ~50 degree image of the posterior pole of a model eye decreased from 283 ± 60 seconds to 34 ± 17 seconds (p < 0.01) for first-time users. The time to acquire 5 overlapping images of the retina decreased from 325 ± 60 seconds to 118 ± 26 seconds (p = 0.02) for first-time users. Testing in the human eye demonstrated that a single wide-view retinal image could be captured in 65 ± 7 seconds and 5 overlapping images in 229 ± 114 seconds. Users reported high Systems Usability Scores of 86 ± 13 throughout the rounds, reflecting a high level of comfort in first-time operation of the device. Our study demonstrates that smartphone-based retinal photography has the potential to be quickly adopted among medical assistants in the primary care setting.

Identifiers

PMID32864157
PMCPMC7455018
OpenAlexW2974628381

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.