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Table 4 Logistic regression model with predictors of patients’ preference not to know prognosisa

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

 

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

  1. a 0 = preferring to know the 1-year mortality risk, 1 = preferring not to know the 1-year mortality risk
  2. b n = 505/524 (19 missing)
  3. 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
  4. * Significant at p < .05. ** Significant at p < .01. *** Significant at p < .001
  5. 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