Literature DB >> 29305313

Effectiveness of the GoCheck Kids Vision Screener in Detecting Amblyopia Risk Factors.

M Millicent W Peterseim1, Ryan S Rhodes2, Rupa N Patel2, M Edward Wilson2, Luke E Edmondson2, Sarah A Logan2, Edward W Cheeseman2, Emily Shortridge2, Rupal H Trivedi2.   

Abstract

PURPOSE: The GoCheck Kids smartphone photoscreening app (Gobiquity Mobile Health, Scottsdale, Arizona, USA), introduced in 2014, is marketed to pediatricians with little published validation. We wished to evaluate the GoCheck Kids Screener for accuracy in detecting amblyopia risk factors (ARF) using 2013 American Association for Pediatric Ophthalmology and Strabismus guidelines.
DESIGN: Validity assessment.
METHODS: Children 6 months to 6 years of age presenting from October 2016 to August 2017 were included. Children were screened with the GoCheck preloaded Nokia Lumia 1020, software version 4.6 with image processing version R4d, prior to undergoing a comprehensive eye examination by a pediatric ophthalmologist masked to the screener results. Determination of the presence of age-specific ARF was made based upon the examination and compared with the GoCheck recommendation.
RESULTS: A total of 206 children were included (average age 43 months). When compared to examination, GoCheck had a sensitivity of 76.0% and specificity of 67.2% in detecting ARF. Positive predictive value was 57.0% and negative predictive value 83.0%. The screener results of 13 children were changed from "no risk factors" to "risk factors identified" based on the GoCheck remote review process. Four images remained "not gradable" and screening was unsuccessful in 3 children.
CONCLUSION: In our high-risk population, this version of the Gocheck Kids smartphone app was useful in identifying ARF in children who are often not able to cooperate with visual acuity testing. This study informs pediatricians about the efficacy of this new screener as they make decisions about how to best detect vision problems in young children.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2018        PMID: 29305313     DOI: 10.1016/j.ajo.2017.12.020

Source DB:  PubMed          Journal:  Am J Ophthalmol        ISSN: 0002-9394            Impact factor:   5.258


  10 in total

1.  Vision screening using a smartphone platform.

Authors:  Iara Debert; Douglas Rodrigues da Costa; Mariza Polati; Janaina Guerra Falabretti; Remo Susanna Junior
Journal:  Rev Paul Pediatr       Date:  2022-05-06

2.  Evaluation of a smartphone photoscreening app to detect refractive amblyopia risk factors in children aged 1-6 years.

Authors:  Robert W Arnold; James W O'Neil; Kim L Cooper; David I Silbert; Sean P Donahue
Journal:  Clin Ophthalmol       Date:  2018-08-23

3.  Deep Learning-Based Prediction of Refractive Error Using Photorefraction Images Captured by a Smartphone: Model Development and Validation Study.

Authors:  Jaehyeong Chun; Youngjun Kim; Kyoung Yoon Shin; Sun Hyup Han; Sei Yeul Oh; Tae-Young Chung; Kyung-Ah Park; Dong Hui Lim
Journal:  JMIR Med Inform       Date:  2020-05-05

4.  Application of deep learning and image processing analysis of photographs for amblyopia screening.

Authors:  Kaushik Murali; Viswesh Krishna; Vrishab Krishna; B Kumari
Journal:  Indian J Ophthalmol       Date:  2020-07       Impact factor: 1.848

5.  Artificial Intelligence to Reduce Ocular Health Disparities: Moving From Concept to Implementation.

Authors:  John P Campbell; Ciku Mathenge; Hunter Cherwek; Konstantinos Balaskas; Louis R Pasquale; Pearse A Keane; Michael F Chiang
Journal:  Transl Vis Sci Technol       Date:  2021-03-01       Impact factor: 3.283

6.  A smartphone ocular alignment measurement app in school screening for strabismus.

Authors:  Wenbo Cheng; Marissa H Lynn; Shrinivas Pundlik; Cheryl Almeida; Gang Luo; Kevin Houston
Journal:  BMC Ophthalmol       Date:  2021-03-25       Impact factor: 2.209

7.  Vision for the Future Project: Screening impact on the prevention and treatment of visual impairments in public school children in São Paulo City, Brazil.

Authors:  Douglas Rodrigues da Costa; Iara Debert; Fernanda Nicolela Susanna; Janaina Guerra Falabreti; Mariza Polati; Remo Susanna Júnior
Journal:  Clinics (Sao Paulo)       Date:  2021-10-01       Impact factor: 2.365

8.  Instrument Referral Criteria for PlusoptiX, SPOT and 2WIN Targeting 2021 AAPOS Guidelines.

Authors:  Robert Arnold; David Silbert; Heather Modjesky
Journal:  Clin Ophthalmol       Date:  2022-02-25

9.  A One-Step, Streamlined Children's Vision Screening Solution Based on Smartphone Imaging for Resource-Limited Areas: Design and Preliminary Field Evaluation.

Authors:  Shuoxin Ma; Yongqing Guan; Yazhen Yuan; Yuan Tai; Tan Wang
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-13       Impact factor: 4.773

10.  Performance of Two Photoscreeners Enhanced by Protective Cases.

Authors:  Samuel Joseph Martin; Hser Eh Htoo; Nay Hser; Robert W Arnold
Journal:  Clin Ophthalmol       Date:  2020-05-25
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.