Characteristics of patients with advanced cancer preferring not to know prognosis: a multicenter survey study

BMC Cancer

Table 4 Logistic regression model with predictors of patients’ preference not to know prognosis^a

	Final model ^{b c}
Predictor	B	SE	Wald	p	Exp(b)	Lower CI	Upper CI
Constant	-2.869	.559	26.390	.000***	.057
Sex	.511	.203	6.361	.012*	1.667	1.121	2.480
Line of systemic treatment during study participation
None	-.980	.347	7.958	.005**	.375	.190	.742
First line	-.694	.304	5.225	.022*	.499	.275	.906
Second line	-.154	.336	.210	.647	.857	.444	1.656
≥ Third line (ref)			12.072	.007**
Fighting spirit (mini-MAC)	.202	.041	24.725	.000***	1.224	1.130	1.326

^a 0 = preferring to know the 1-year mortality risk, 1 = preferring not to know the 1-year mortality risk
^b n = 505/524 (19 missing)
^c Multilevel analysis was not required, since accounting for clustering within physicians by adding a level did not significantly improve model fit (p > .05) and the intraclass correlation was low (0.05). Intercorrelations between predictors were r < .60. Patients’ age, nationality, religion, presence of children < 18 years, health literacy, numeracy, tumor type, time since diagnosis, trait optimism, trait anxiety, avoidance coping, uncertainty tolerance and trust in the physician were omitted from the model (p > .20). To simplify the final model, educational level, patients’ estimation of the likelihood of dying within one year and health-related quality of life (p > .05) were eliminated
^* Significant at p < .05. ** Significant at p < .01. *** Significant at p < .001
B Unstandardized coefficient, SE Standard error, p significance, Exp(b) exponentiation of the B coefficient, which is an odds ratio, CI 95% 95% Confidence Interval, ref Reference category, MAC Mental Adjustment to Cancer

ISSN: 1471-2407