Table 2.

Descriptive Statistics and Multivariate Analysis Predicting Preference for Palliative Care, N (%)

Variable1	Attitude Toward Palliative Care		Adjusted OR (95% CI)	p-value
	Favorable (N=303)	Unfavorable (N=80)
Gender
Women	185 (87.7%)	26 (12.3%)	3.07 (1.80–5.23)	<0.0001
Men	118 (68.6%)	54 (31.4%)
Age
≥65 year	141 (73.8%)	50 (26.2%)	0.54 (0.31–0.94)	0.03
<65 years	162 (84.4%)	30 (15.6%)
Education
High school or less	83 (75.5%)	27(24.5%)	0.85 (0.48–1.48)	0.55
Some college or more	220 (80.6%)	53 (19.4%)
Race
White	273 (79.8%)	69 (20.2%)	1.18 (0.51–2.71)	0.69
Non-White	30 (73.2%)	11 (26.8%)
Cancer aggressiveness
Aggressive cancer	143 (75.7%)	46 (24.3%)	0.75 (0.45–1.26)	0.28
Less aggressive cancer	160 (82.5%)	34 (17.5%)
Insurance status
Medicaid/uninsured	36 (73.5%)	13 (26.5%)	0.66 (0.29 1.47))	0.30
Medicare/private	267 (79.9%)	67 (20.1%)
insurance
Financial Strain
Present	95 (78.5%)	26 (21.5%)	0.85 (0.45–1.62)	0.62
Absent	208 (79.4%)	54 (20.6%)

Note.

¹All variables in this column were included in the multivariate logistic regression analysis.

PC=Palliative Care, OR=Odds Ratio, CI=Confidence Interval. In the survey, palliative care was described as comfort care that focuses on quality of life, but not a cure. The outcome variable in the logistic regression was favorable attitudes, defined as responding definitely yes or possibly yes to the question “If your cancer doctor advised you that there is no further anti-cancer treatment available that would be helpful, would you want palliative care?” Gender remained a significant predictor in sensitivity analyses that accounted for additional covariates [2.79 (1.60, 4.86)] and analyses that treated the outcome variable as ordinal [2.47(1.67, 3.65)].