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. 2021 Mar 16;23(3):e23662. doi: 10.2196/23662

Table 2.

Factors associated with web-based prescription-filling behavior among adults in the United States in 2018: results from the adjusted multivariable logistic regression model.

Variables Year (2018), odds ratio (95% CI)
Predisposing factors

Age (years)


18-34 Refa


35-49 1.27 (1.08-1.50)


50-64 1.22 (1.03-1.44)


65-74 1.38 (1.13-1.68)


75+ 0.89 (0.68-1.17)

Gender


Male Ref


Female 1.38 (1.23-1.55)

Race


Non-Hispanic White Ref


Hispanic 0.71 (0.57-0.89)


Non-Hispanic Black 0.72 (0.56-0.91)


Non-Hispanic Asian 0.83 (0.63-1.09)


Non-Hispanic others 0.69 (0.36-1.30)

Education


Less than high school Ref


High school 1.40 (1.04-1.89)


College 1.64 (1.21-2.21)


Higher than college 2.26 (1.70-3.01)

Region


Northwest Ref


Midwest 1.51 (1.24-1.84)


South 1.30 (1.09-1.56)


West 1.67 (1.36-2.04)

Marital status


Married or living with partner Ref


Divorced, separated, widowed 0.86 (0.74-1.00)


Single, never married 0.96 (0.81-1.14)

Work status (past 12 months)


Had job 1.00 (0.87-1.15)


No job Ref

Frequency of computer usage


Never Ref


Some days 1.62 (1.06-2.50)


Most days 2.65 (1.63-4.33)


Every day 3.65 (2.38-5.62)

Frequency of internet usage


Never Ref


Per day 3.48 (2.11-5.73)


Per week 3.24 (1.97-5.34)


Per month 1.20 (0.41-3.52)


Per year 3.26 (1.45-7.35)
Enabling factors

Family income (US $)


<35,000 0.78 (0.65-0.93)


35,000-49,999 1.02 (0.84-1.23)


45,000-74,999 Ref


75,000-99,999 1.12 (0.94-1.35)


≥100,000 1.26 (1.08-1.48)

Health insurance coverage


Covered 1.60 (1.19-2.14)


Not covered Ref
Needs factors

Perceived health status


Excellent Ref


Very good 1.26 (1.09-1.46)


Good 1.39 (1.19-1.63)


Fair 1.80 (1.44-2.24)


Poor 1.81 (1.27-2.58)

Mobility limitations


Yes 1.23 (0.96-1.58)


No Ref

Prescribed medication by doctor or health professional


Yes 4.74 (3.83-5.87)


No Ref

Bought drugs from another country to save money


Yes 2.10 (1.51-2.93)


No Ref

aRef: reference value.