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. 2018 Apr;141(4):e20173402. doi: 10.1542/peds.2017-3402

TABLE 2.

Odds of Not Filling a Prescription by 30 Days by Sociodemographic and Area-Level Characteristics

Characteristic Model 1, OR (95% CI)a Model 2, OR (95% CI)b Model 3, OR (95% CI)c
Age, y 1.04 (1.03–1.04) 1.04 (1.03–1.04) 1.04 (1.03–1.04)
Sex
 Female Reference Reference Reference
 Male 1.10 (1.07–1.14) 1.10 (1.07–1.14) 1.11 (1.07–1.14)
Payment mechanism
 Private Reference Reference Reference
 Public 1.36 (1.32–1.40) 1.24 (1.20–1.28) 1.22 (1.18–1.26)
 Discount card 1.28 (1.11–1.47) 1.27 (1.10–1.47) 1.27 (1.10–1.47)
Quintiles of zip code percentage below federal poverty level
 Low Reference
 Low-medium 0.93 (0.89–0.98)
 Medium 1.01 (0.96–1.06)
 Medium-high 1.120 (1.07–1.17)
 High 1.60 (1.52–1.69)
Quintiles of zip code percentage of households without access to a vehicle
 Low Reference
 Low-medium 0.99 (0.94–1.05)
 Medium 1.07 (1.01–1.13)
 Medium-high 1.13 (1.07–1.18)
 High 1.77 (1.68–1.87)

OR, odds ratio; —, not applicable.

a

Model 1 included age, sex, and payer.

b

Model 2 included age, sex, payer, and quintiles as defined by percentage below the federal poverty level.

c

Model 3 included age, sex, payer, and quintiles as defined by zip code percentage of households without access to a vehicle.