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. 2017 Feb;10(1):7–15.

Table 3.

Impact of Sociodemographic and Personal Characteristics on Positive Out-of-Pocket Expenditures

Variable Estimate (95% CI)a P valuea
Age 0.98 (0.97–0.99) <.0001
Male 0.73 (0.58–0.92) .006
Female (reference)
White 2.15 (1.66–2.76) <.001
Hispanic 1.00 (0.75–1.33) .976
Other 0.99 (0.65–1.56) .960
Black (reference)
Poor 0.60 (0.43–0.84) .003
Near poor 0.94 (0.63–1.42) .756
Low income 0.69 (0.49–0.97) .034
Middle income 1.11 (0.82–1.49) .492
High income (reference)
Any private insurance 0.31 (0.21–0.45) <.0001
Public-only insurance 0.18 (0.12–0.27) <.0001
Uninsured (reference)
Married 1.80 (1.43–2.27) <.0001
Unmarriedb (reference)
Comorbidity 1.16 (1.07–1.25) .0004
Family size 0.83 (0.77–0.89) <.0001
Northeast 0.73 (0.52–1.02) .063
Midwest 1.27 (0.91–1.76) .158
South 0.99 (0.76–1.30) .967
West (reference)
Non-MSA 1.07 (0.82–1.42) .606
MSA (reference)
a

Estimates with 95% CI and corresponding P values are obtained from the generalized linear model with log link, which modeled the positive out-of-pocket expenditure as a dependent variable. Estimates and 95% CIs were obtained by the exponentiation of regression coefficients.

b

Includes divorced, separated, widowed, or never married.

CI indicates confidence interval; MSA, metropolitan statistical area.