Evidence map›Paper›PMID 42179822›Full record

ArticleFrontiers in digital health2026

Enhancing access and clinical triage in primary eye care through digital vision testing: validation of the SightConnect mobile application.

Payal Sangani, Chodup Thinley, Mohit Pushpwan, Rahul Negi, Mahesh Mandawar, Krishna Deshagiri, Niranjan Kumar Yenamala, Md Hasnat Ali, Pravin K Vaddavalli, Pinakin Gunvant Davey and 1 more

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. 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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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Payal SanganiCollege of Optometry, Western University of Health Sciences, Pomona, CA, United States.
Chodup ThinleyBausch and Lomb School of Optometry, Brien Holden Institute of Optometry and Vision Sciences, LV Prasad Eye Institute, Hyderabad, India.
Mohit PushpwanDepartment of Refractive Services, LV Prasad Eye Institute, Hyderabad, India.
Rahul NegiCenter for Technology Innovation, LV Prasad Eye Institute, Hyderabad, India.
Mahesh MandawarGullapalli Pratibha Rao International Centre for Advancement of Rural Eye Care, LV Prasad Eye Institute, Hyderabad, India.
Krishna DeshagiriGullapalli Pratibha Rao International Centre for Advancement of Rural Eye Care, LV Prasad Eye Institute, Hyderabad, India.
Niranjan Kumar YenamalaGullapalli Pratibha Rao International Centre for Advancement of Rural Eye Care, LV Prasad Eye Institute, Hyderabad, India.
Md Hasnat AliClinical Epidemiology and Biostatistics, LV Prasad Eye Institute, Kallam Anji Reddy Campus, Hyderabad, India.
Pravin K VaddavalliDepartment of Cataract and Refractive Surgery, Shantilal Shanghvi Cornea Institute, LV Prasad Eye Institute, Hyderabad, India.
Pinakin Gunvant DaveyCollege of Optometry, Western University of Health Sciences, Pomona, CA, United States.
Padmaja Kumari RaniAnant Bajaj Retina Institute, LV Prasad Eye Institute, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Assessment of vision is the vital first step of an eye exam for determining visual status. The availability of portable digital vision testing tools enables vision assessments in remote areas, at home and during teleconsultations. Purpose: To assess the accuracy and agreement for measuring vision using the SightConnect mobile application (SightConnect) compared to in-clinic standard vision testing using the charts and to evaluate the performance of the SightConnect visual acuity grading algorithm, which classifies the visual acuity into one of these categories of visual impairment: mild, moderate and severe. Methods: Individuals visiting LV Prasad Eye Institute as part of their ophthalmic consultation were consecutively recruited for this study. Part -1 of the study evaluated the near visual acuity with SightConnect whereas part-2 evaluated both the distance and near acuity. The standard visual acuity at both distance and near was assessed by trained optometrists and vision technicians. SightConnect further classifies the obtained visual acuity based on severity of the vision and uses them as reference to suggest urgency of referral for an eye exam, as routine, early and urgent need for clinical attention. Results: A total of 1,481 individuals were assessed for visual acuity using SightConnect. Of these 710 participants in part-1 and 771 participants in part-2. Both eyes of the study participants were included in the study. The mean difference in near visual acuity assessment between SightConnect and the clinical measurements was 0.08 logMAR (-4 letters). For distance acuity, the mean difference between SightConnect and clinical measurements was 0.09 logMAR. The intraclass correlation coefficients indicated moderate reliability, with ICCs of 0.74 for near and 0.67 for distance acuity measurements. The visual acuity grading module was 78 to 90% accurate for identifying routine, early and urgent referrals based on vision status. Conclusions: Visual acuity testing using the SightConnect mobile application reported moderate agreement with the standard clinical assessments, and the accuracy in grading visual acuity and suggesting referral urgency was acceptable. These findings support the use of SightConnect applications for enabling and enhancing access to primary eye care services and guiding users on when to seek clinical attention.

Indexed as

digital healthdigital vision chartrefractive errortele-ophthalmologyvision screeningvision testvisual acuity

Identifiers

PMID42179822
PMCPMC13194495

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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.