Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
“Big Data” Electronic Health Records Analysis of Strabismus in Veterans in the Veterans Health Administration
Author Affiliations & Notes
  • John Lillvis
    Ophthalmology, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York, United States
    VA Western New York Healthcare System, Buffalo, New York, United States
  • Treefa Shwani
    University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York, United States
  • Michael Feehan
    Ophthalmology, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York, United States
  • Leah Owen
    University of Utah Health John A Moran Eye Center, Salt Lake City, Utah, United States
  • Karen Allison
    University of Rochester David and Ilene Flaum Eye Institute, Rochester, New York, United States
  • Margaret M Deangelis
    Ophthalmology, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York, United States
    VA Western New York Healthcare System, Buffalo, New York, United States
  • Footnotes
    Commercial Relationships   John Lillvis None; Treefa Shwani None; Michael Feehan Cerner Enviza, Oracle Life Sciences, Code E (Employment); Leah Owen None; Karen Allison None; Margaret Deangelis Genentech, Code F (Financial Support)
  • Footnotes
    Support  Buffalo Translational Consortium award UL1TR001412-07 from the National Center for Advancing Translational Science
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 2421. doi:
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    • Get Citation

      John Lillvis, Treefa Shwani, Michael Feehan, Leah Owen, Karen Allison, Margaret M Deangelis; “Big Data” Electronic Health Records Analysis of Strabismus in Veterans in the Veterans Health Administration. Invest. Ophthalmol. Vis. Sci. 2024;65(7):2421.

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

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Abstract

Purpose : “Big data” analysis of electronic health records (EHRs) offers great potential for studying ocular disease. The VA Informatics and Computing Infrastructure (VINCI) contains over 20 years of EHR data on patients enrolled in the Veterans Health Administration (VHA), the largest integrated healthcare system in the U.S. This study examined Veterans with strabismus and how demographic factors may influence diagnosis and delivery of care.

Methods : EHR records were queried with databasing tools in R studio software through VINCI. Strabismus diagnoses in VHA Veterans ≥18 years during 2000-2022 were identified by: 1. An International Classification of Diseases (ICD) code for a strabismus diagnosis or 2. A Current Procedural Terminology (CPT) code specific to strabismus surgery, even with no ICD diagnosis. Demographic data on age, sex, race, and ethnicity were collected. VHA enrollment data for VA fiscal years 2000-2022 were used to calculate total and demographic-stratified prevalence and incidence rates. Demographic differences in prevalence, incidence, rate of surgery, and types of strabismus were compared using a Wilcoxon Signed Rank or Friedman Test, Fisher Exact Test, and Chi-Square test, respectively (significance at corrected p ≤0.05).

Results : A strabismus diagnosis was found for 321,639 Veterans (CPT code only = 1532), of whom 7399 had strabismus surgery. Annual prevalence was highest at 2.29% in VA fiscal year 2022; the median annual incidence rate was 168.9/100,000. Heterophoria was most common strabismus type, followed by exotropia. Prevalence and incidence rates varied significantly by demographic (p <0.0001 for both by age, race and ethnicity; p <0.001 for prevalence by sex). Likelihood of surgery in strabismus patients also varied by the demographic (p = 0.046 for likelihood of strabismus surgery by sex, p <0.001 for all others).

Conclusions : Using a big data analysis of VHA health records, we have described the prevalence and incidence of strabismus in Veterans. We have demonstrated that strabismus prevalence differs sex and both prevalence and incidence differ by age, race and ethnicity. Despite having low prevalence and incidence, African American Veterans with strabismus were more likely to have surgery than Veterans of other races. Studies to identify the factors driving these findings are ongoing.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

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