Table 4.
Multivariable Logistic Regression Analysis of Factors for Poor Follow-Up Adherence in Glaucoma Patients (n = 206) in a County Hospital Population
| Variable | Unadjusted OR | P value | Adjusted OR | P value |
|---|---|---|---|---|
|
| ||||
| Age (per year) | 1.00 (0.97–1.03) | 0.90 | 1.00 (0.96–1.03) | 0.81 |
| Gender (male vs. female) | 0.72 (0.41–1.27) | 0.25 | 0.60 (0.32–1.12) | 0.11 |
| Race (Asian vs. non-Asian) | 0.70 (0.40–1.24) | 0.22 | 0.78 (0.41–1.47) | 0.46 |
| Education (high school or more vs. less) | 1.09 (0.61–1.96) | 0.77 | 1.10 (0.58–2.08) | 0.68 |
| Years of having glaucoma (per year) | 1.02 (0.97–1.07) | 0.42 | 1.03 (0.97–1.09) | 0.36 |
| Glaucoma surgery (yes vs. no) | 1.05 (0.49–2.24) | 0.91 | 0.73 (0.30–1.74) | 0.39 |
| Medications (yes vs. no) | 1.54 (0.78–3.02) | 0.21 | 3.29 (1.41–7.65) | 0.01 |
| Disease severity (severe vs. mild/moderate) | 2.78 (1.54–5.00) | 0.001 | 1.89 (1.21–2.94) | 0.01 |
| Expected number of follow-up visits (mild: 2 visits; moderate and severe: 3 visits) | 1.98 (1.12–3.49) | 0.04 | 1.55 (0.60–3.98) | 0.37 |
OR = odds ratio