June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
Altered patient demography and increased complexity of ICD coding in uveitis over 10 years
Author Affiliations & Notes
  • Jaclyn Joyce Hwang
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
  • Muhammad Sohail Halim
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
    Ocular Imaging Research and Reading Center, Sunnyvale, California, United States
  • Gunay Uludag
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
  • Cigdem Yasar
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
  • Hashem Ghoraba
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
  • Brandon Pham
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
  • Sherin Lajevardi
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
  • Brandon Chau Lam
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
  • Jonathan Regenold
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
  • Vahid Bazojoo
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
  • Irmak Karaca
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
  • Azadeh Mobasserian
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
  • Diana V Do
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
  • Yasir J Sepah
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
  • Quan Dong Nguyen
    Byers Eye Institute, Stanford University, Palo Alto, California, United States
  • Footnotes
    Commercial Relationships   Jaclyn Hwang, None; Muhammad Sohail Halim, Ocular Imaging Research and Reading Center (E); Gunay Uludag, None; Cigdem Yasar, None; Hashem Ghoraba, None; Brandon Pham, None; Sherin Lajevardi, None; Brandon Lam, None; Jonathan Regenold, None; Vahid Bazojoo, None; Irmak Karaca, None; Azadeh Mobasserian, None; Diana Do, None; Yasir Sepah, None; Quan Nguyen, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 1419. doi:
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      Jaclyn Joyce Hwang, Muhammad Sohail Halim, Gunay Uludag, Cigdem Yasar, Hashem Ghoraba, Brandon Pham, Sherin Lajevardi, Brandon Chau Lam, Jonathan Regenold, Vahid Bazojoo, Irmak Karaca, Azadeh Mobasserian, Diana V Do, Yasir J Sepah, Quan Dong Nguyen; Altered patient demography and increased complexity of ICD coding in uveitis over 10 years. Invest. Ophthalmol. Vis. Sci. 2021;62(8):1419.

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

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Abstract

Purpose : Uveitis is an inflammatory ocular disease and important cause of visual impairment and blindness. The purpose of this study is to delineate the demography and pattern of clinical coding between 2008 and 2018.

Methods : The Stanford Research Repository (STARR) Tools was used to identify 5,441 patients with International Classification of Diseases (Ninth and Tenth Editions) (ICD) codes for infectious and non-infectious uveitis in one academic institution (Table 1) in patients 18 years or older from 2008 to 2018. Patient demography (age, gender, race, ethnicity), pattern of ICD coding, and types of uveitis was analyzed using custom R scripts.

Results : Of 5,441 unique patients with infectious/non-infectious uveitis, analysis of patient demography revealed that age at first visit significantly increased between 2008 to 2018 (p<0.001), with no change in gender, race, ethnicity (p>0.1) (Table 1). Analysis of uveitis ICD codes revealed gradual increase in the number of infectious/non-infectious uveitis codes used and marked increase in the complexity of coding. In 2008, there were only 3 ICD codes used to designate infectious/non-infectious uveitis, which increased by 2014. By 2018, there were 9 different ICD codes. The most striking changes in ICD coding was in the frequency of ICD codes 135, 362.18, and 115.92. The most common ICD9 code in the data set was 135 (sarcoidosis); the usage of this ICD code significantly increased over the decade (p<0.01). In contrast, ICD9 codes 362.18 (retinal vasculitis) and 115.92 (histoplasmosis retinitis) were not commonly used at the beginning of the decade, but later in the decade, their use significantly increased (p<0.001). Despite its introduction in 2016, ICD10 codes were not used frequently. There was only one ICD10 code (B39.9) significantly used (p<0.05).

Conclusions : Analysis of patient demography and ICD coding of uveitis between 2008-2018 of uveitis in one academic institution revealed significant increase in age at first visit but not gender, race, and ethnicity and a dramatic increase in the usage of uveitis ICD codes and the complexity of uveitis coding. Despite its introduction in 2016, ICD10 codes are still relatively unused. Given the specificity of ICD10 coding to include laterality, etiology, anatomic parts involved, and severity, improved education and utilization of ICD10 coding can help elucidate the pattern and complexity of uveitis.

This is a 2021 ARVO Annual Meeting abstract.

 

 

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