June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
Comprehensive Analysis to Uncover Determinants of Patient Appointment Compliance in Ophthalmology at the Kresge Eye Institute
Author Affiliations & Notes
  • Alisha Khambati
    Wayne State University School of Medicine, Detroit, Michigan, United States
  • Lauren Dowell
    Wayne State University School of Medicine, Detroit, Michigan, United States
  • Jahan Tajran
    Wayne State University School of Medicine, Detroit, Michigan, United States
  • Daniel Juzych
    Cranbrook Academy of Art, Bloomfield Hills, Michigan, United States
  • Sarah Syeda
    Wayne State University School of Medicine, Detroit, Michigan, United States
    Kresge Eye Institute, Detroit, Michigan, United States
  • M. Roy Wilson
    Wayne State University School of Medicine, Detroit, Michigan, United States
    Kresge Eye Institute, Detroit, Michigan, United States
  • Mark Juzych
    Wayne State University School of Medicine, Detroit, Michigan, United States
    Kresge Eye Institute, Detroit, Michigan, United States
  • Ashok Kumar
    Wayne State University School of Medicine, Detroit, Michigan, United States
    Kresge Eye Institute, Detroit, Michigan, United States
  • Footnotes
    Commercial Relationships   Alisha Khambati, None; Lauren Dowell, None; Jahan Tajran, None; Daniel Juzych, None; Sarah Syeda, None; M. Wilson, None; Mark Juzych, None; Ashok Kumar, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 1707. doi:
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      Alisha Khambati, Lauren Dowell, Jahan Tajran, Daniel Juzych, Sarah Syeda, M. Roy Wilson, Mark Juzych, Ashok Kumar; Comprehensive Analysis to Uncover Determinants of Patient Appointment Compliance in Ophthalmology at the Kresge Eye Institute. Invest. Ophthalmol. Vis. Sci. 2021;62(8):1707.

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

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Abstract

Purpose : Appointment compliance (AC) has a significant impact on physician-patient relationship and overall patient care. However, determinants of AC in Ophthalmology and its subspecialties remains elusive.

Methods : We performed a five-year, January 2014 to December 31, 2018, retrospective analysis across Kresge Eye Institute (KEI) and its affiliated 24 outpatient Michigan locations. A total of 597,364 appointments across >13 subspecialties were included, in which cancellations, testing, pediatric, and spontaneous emergency appointments were excluded. AC was the primary outcome of interest. Compliant (CO) and non-compliant (NC) groups were compared to the following variables: patient characteristics (gender, race, age, insurance), appointment rank (relative to patient history), scheduling location, month, and ophthalmic specialty, in regard to arrival and no-show.

Results : Among all appointments, 59.77% were associated with a female patient and 79.16% of the total number of appointments were compliant. The mean patient age across all appointments was 58.01 years (SD: 20.07 years) with a range of <1 year to 118 years (IQR: 48.09-71.52 years) and depicted a CO of 59.61%. AC differed concerning specialty, with retina representing the highest compliance across all appointments at 23.84%. Among 200+ insurance providers, Medicare was most frequently used and represented the greatest CO at 44.41%. African Americans were the primary ethnicity served by KEI at 61.02% and had the highest number of NC appointments at 73.36%. Appointment month depicted significant compliance in the month of March at 9.02% (p<0.0001). Among appointment locations, KEI General, which had the highest frequency of appointments represented the least compliance with an NC of 36.06%.

Conclusions : Our study demonstrates the impact of patient demographics, appointment characteristics, and ophthalmic subspecialty on AC. A better understanding of these determinants could allow for an increased CO for Ophthalmology practices.

This is a 2021 ARVO Annual Meeting abstract.

 

Figure 1. Procedure for sample selection

Figure 1. Procedure for sample selection

 

Table 1. Distribution of Demographic, Administrative, and Appointment Characteristics among compliant and non-compliant appointments at KEI

Table 1. Distribution of Demographic, Administrative, and Appointment Characteristics among compliant and non-compliant appointments at KEI

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