Research Article

Patient Race, Reported Problems in Using Glaucoma Medications, and Adherence

Table 3

Multivariable logistic regression results predicting problems with glaucoma medications ( ).

Independent variablesHard to rememberSide effectsToo many drops come outDosing times are inconvenientDifficult to read the print
OR (95% CI)OR (95% CI)OR (95% CI)OR (95% CI)OR (95% CI)

Age0.99 (0.94, 1.04)0.98 (0.94, 1.02)1.01 (0.98, 1.05)0.98 (0.93, 1.03)0.98 (0.95, 1.01)
Years of education1.23 (1.05, 1.44)*1.16 (1.01, 1.32)*1.01 (0.92, 1.12)1.19 (1.01, 1.41)*0.99 (0.89, 1.10)
Gender: male0.97 (0.34, 2.75)0.41 (0.15, 0.96)*2.20 (1.03, 4.42)*0.43 (0.13, 1.42)0.71 (0.34, 1.49)
Race: White0.90 (0.29, 2.76)0.52 (0.21, 1.30)1.03 (0.47, 2.23)1.10 (0.32, 3.85)0.59 (0.27, 1.30)
No. of glaucoma medications11.11 (2.37, 52.1)**3.44 (1.27, 9.29)*2.20 (1.04, 4.66)*7.47 (1.54, 36.07)*0.94 (0.43, 2.04)
How long have had glaucoma1.13 (0.79, 1.62)0.89 (0.68, 1.17)0.92 (0.74, 1.15)1.98 (1.02, 3.88)*0.77 (0.62, 0.96)*

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OR: odds ratio, CI: confidence interval.