Table 6

- Multivariate ordinal logistic analysis to correlate the probability of getting “cancer is curable” answer with the demographic information. Probabilities modeled are cumulated over the lower ordered values (no, occasional, yes).

EffectsOdds ratioLower confidence intervalUpper confidence intervalP-value
Age1.0010.9921.0110.8027
Gender: female vs. male0.9880.7221.3500.9376
Marital status: married vs. single0.8040.5871.1020.1755
Educational level: educated vs. uneducated0.8080.5171.2640.3498
Currently working: yes vs. no1.3800.9711.9600.0727
Cancer type: hematological malignancy vs. solid tumor1.0100.6611.5410.9648
Cancer cause: scientific vs. non-scientific0.6210.4230.9130.0153
Disease can be cured: occasional vs. no1.2050.3414.2590.7720
Disease can be cured: yes vs. no1.3870.2667.2370.6980
Surgery: yes vs. no0.7910.5741.0910.1524
Radiation: yes vs. no1.0750.7861.4700.6514
Chemotherapy: yes vs. no1.0800.7201.6210.7083
SCT: yes vs. no0.7290.3821.3890.3359
Cohort 2 vs. cohort 12.3031.5863.344<.0001

SCT: stem cell transplant, vs.: versus