June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Manhattan Vision Screening and Follow-up Study (NYC-SIGHT) Cluster-Randomized Clinical Trial: Smartphone Ownership to Assess Digital Health Equity
Author Affiliations & Notes
  • Alexa M. Kaminsky
    Ophthalmology, Columbia University Irving Medical Center, New York, New York, United States
  • Prakash Gorroochurn
    Biostatistics, Columbia University Mailman School of Public Health, New York, New York, United States
  • Stefania C Maruri
    Ophthalmology, Columbia University Irving Medical Center, New York, New York, United States
  • Desiree R. Henriquez
    Ophthalmology, Columbia University Irving Medical Center, New York, New York, United States
  • Jason D. Horowitz
    Ophthalmology, Columbia University Irving Medical Center, New York, New York, United States
  • Lisa Park
    Ophthalmology, Columbia University Irving Medical Center, New York, New York, United States
  • Qing Wang
    Ophthalmology, Columbia University Irving Medical Center, New York, New York, United States
  • Daniel Diamond
    Ophthalmology, Columbia University Irving Medical Center, New York, New York, United States
  • Noga Harizman
    Ophthalmology, Columbia University Irving Medical Center, New York, New York, United States
  • James D. Auran
    Ophthalmology, Columbia University Irving Medical Center, New York, New York, United States
  • Tarun Sharma
    Ophthalmology, Columbia University Irving Medical Center, New York, New York, United States
  • Jeffrey M Liebmann
    Ophthalmology, Columbia University Irving Medical Center, New York, New York, United States
  • George Cioffi
    Ophthalmology, Columbia University Irving Medical Center, New York, New York, United States
  • Lisa A. Hark
    Ophthalmology, Columbia University Irving Medical Center, New York, New York, United States
  • Footnotes
    Commercial Relationships   Alexa Kaminsky None; Prakash Gorroochurn None; Stefania Maruri None; Desiree Henriquez None; Jason Horowitz None; Lisa Park None; Qing Wang None; Daniel Diamond None; Noga Harizman None; James Auran None; Tarun Sharma None; Jeffrey Liebmann None; George Cioffi None; Lisa Hark None
  • Footnotes
    Support  US Centers for Disease Control and Prevention, U01 DP006435 and U01 DP006436 and Research to Prevention Blindness.
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 3071. doi:
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      Alexa M. Kaminsky, Prakash Gorroochurn, Stefania C Maruri, Desiree R. Henriquez, Jason D. Horowitz, Lisa Park, Qing Wang, Daniel Diamond, Noga Harizman, James D. Auran, Tarun Sharma, Jeffrey M Liebmann, George Cioffi, Lisa A. Hark; Manhattan Vision Screening and Follow-up Study (NYC-SIGHT) Cluster-Randomized Clinical Trial: Smartphone Ownership to Assess Digital Health Equity. Invest. Ophthalmol. Vis. Sci. 2023;64(8):3071.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : To assess digital health equity through smartphone ownership among participants enrolled in the Manhattan Vision Screening and Follow-up Study, which aims to investigate whether innovative community-based eye health screening using telemedicine can improve early detection and management of eye diseases among high-risk populations in New York City.

Methods : A 5-year prospective, cluster-randomized clinical trial. Eligible individuals (>40 years) were recruited from affordable housing buildings and senior centers (>60 years) in New York City. Participants’ demographics, social determinants of health, medical and ocular history, smartphone ownership, and best contact methods were captured. Participants underwent community eye health screenings which included visual acuity (Snellen), intraocular pressure measurements (IOP), and fundus photography. Those who failed the vision screening (acuity 20/40 or worse, IOP 23-29 mmHg, or had an unreadable image) were scheduled with the study optometrist; those with an abnormal image were referred to ophthalmology. A chi-square test and a multivariate logistic regression analysis determined factors associated with odds of smartphone ownership.

Results : From 3/1/21 to 5/31/22, a total of 708 participants completed the eye health screening; 571 (81%) owned a smartphone. Those without a smartphone had a mean age of 75.8+12 years, female (63.5%), African American (53.3%), Hispanic (40.9%), high school education or less (75.1%), retired (71.5%), and 80.9% requested to be contacted by phone only rather than email or text messaging. The majority of the 137 participants without a smartphone (89.8%) failed the eye health screening and 79.7% were referred to ophthalmology. Multivariate logistic regression analysis showed that participants who had Medicaid [OR=0.286, 95% CI=(0.101, 0.811), p=0.019] or were >80 years [OR=0.129, 95% CI=(0.024, 0.695), p=0.008] had significantly lower odds of owning a smartphone.

Conclusions : This community-based study targeted populations at high-risk for eye disease and provided insight into smartphone ownership and digital health access in the study population. This study provides evidence that it is important to consider patients’ age and insurance type when communicating via smartphone technologies in order to improve digital health equity.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

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