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. 2021 Jan 5;29(6):3377–3386. doi: 10.1007/s00520-020-05907-x

Table 5.

Multiple regression model out-of-pocket costs by age category (under 65 vs. 65 and over), income, and burden category (high vs. low)

Dependent variable: Out-of-pocket costs (OOPC)
Variable Coefficient (SE) Beta 95% confidence interval P value
Age > 65 years -$139.86 (108.93) 1.28 -$30.93, $248.79 P > 0.1 NS
Income
< $20,000 -$517.35 (215.69) 2.40 -$301.66, $733.04 P < 0.05
$20,000–$39,999 -$380.48 (166.58) 2.28 -$213.90, $547.07 P < 0.05
$40,000–$59,999 -$133.25 (162.84) 0.82 -$296.08, $29.57 P > 0.1 NS
$60,000–$79,999 -$264.73 (164.73) 1.61 -$429.45, $100.00 P > 0.1 NS
$80,000–$99,999 $6.54 (165.21) 0.04 -$158.68, $171.75 P > 0.1 NS
High burden $766.56 (117.40) 6.53 $649.16, $883.96 P < 0.01
Constant $510.53 (113.37) 4.50 $397.16, $623.90 P < 0.01

Observations 827

R2 0.064

Adjusted R2 0.056

Residual Std. error 1490.401 (df = 819)

F Statistic 7.978 (df = 7; 819) p < 0.01

“$100,000+” is income reference, “small burden” is burden reference, “Under 65” is age reference. Hypotheses: Lower OOPC patient 65 years and over; higher income patients higher OOPC; higher burden patients higher OOPC

Standardized beta = coefficient/SE; 74 pts. income was “do not know” (n = 73) or “missing” (n = 1)