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Original Research

Comprehensive Analysis to Uncover Determinants of Patient Appointment Compliance in Ophthalmology at the Kresge Eye Institute, USA

, , , , , , ORCID Icon & show all
Pages 589-600 | Published online: 11 Mar 2021

Figures & data

Figure 1 Study design with inclusion and exclusion criteria.

Figure 1 Study design with inclusion and exclusion criteria.

Table 1 Distribution of Demographic, Administrative, and Appointment Characteristics Among Compliant and Non-Compliant Appointments at KEI

Table 2 Summary of Continuous Appointment Characteristics

Figure 2 Frequency of appointments per ophthalmology subspecialty. The total n= 597,364 appointments were categorized across the indicated ophthalmic subspecialties seen at the KEI clinics.

Figure 2 Frequency of appointments per ophthalmology subspecialty. The total n= 597,364 appointments were categorized across the indicated ophthalmic subspecialties seen at the KEI clinics.

Figure 3 Frequency of appointments per racial category. The total n= 597,364 appointments were categorized across the indicated racial categories seen at the KEI clinics.

Figure 3 Frequency of appointments per racial category. The total n= 597,364 appointments were categorized across the indicated racial categories seen at the KEI clinics.

Figure 4 Appointment frequency across each zip code. The total n= 829,034 appointments were mapped across each Michigan-based zip code using Microsoft Excel (see Methods section). The enlarged area represents metro Detroit.

Note: Four observations in our analysis were Michigan-based, but had an unspecified zip code listed in the EMR at that appointment.
Figure 4 Appointment frequency across each zip code. The total n= 829,034 appointments were mapped across each Michigan-based zip code using Microsoft Excel (see Methods section). The enlarged area represents metro Detroit.

Table 3 Comprehensive Multiple Logistic Regression Across Initial Appointments

Figure 5 Receiver operating characteristic curve and associated AUC for logistic regressions across all appointments. Also refer for detailed results.

Figure 5 Receiver operating characteristic curve and associated AUC for logistic regressions across all appointments. Also refer Table 3 for detailed results.