Influence of selected sociodemographic variables on advance care planning outcomes
| OR | p>|z| | (95% CI) | ||
|---|---|---|---|---|
| Model 1: Has heard of ACP | ||||
| Female | 1.117 | 0.423 | 0.852 | 1.465 |
| Age (6 categories) | 1.178 | 0.002 | 1.062 | 1.306 |
| Education (4 categories) | 1.310 | 0.002 | 0.102 | 1.557 |
| Income (5 categories) | 1.027 | 0.688 | 0.901 | 1.172 |
| Has ‘kids’ in household | 0.537 | 0.014 | 0.326 | 0.884 |
| Not born in Canada | 0.928 | 0.712 | 0.626 | 1.376 |
| Fraser Health Authority | 1.227 | 0.169 | 0.917 | 1.642 |
| Model 2: Discussed ACP with family/friends | ||||
| Female | 1.579 | <0.001 | 1.271 | 1.952 |
| Age (6 categories) | 1.396 | <0.001 | 1.289 | 1.511 |
| Education (4 categories) | 0.985 | 0.828 | 0.863 | 1.125 |
| Income (5 categories) | 1.125 | 0.026 | 1.014 | 1.247 |
| Has ‘kids’ in household | 0.801 | 0.173 | 0.583 | 1.102 |
| Not born in Canada | 0.939 | 0.699 | 0.687 | 1.286 |
| Fraser Health Authority | 1.212 | 0.106 | 0.959 | 1.530 |
| Model 3: Discussed ACP with healthcare provider | ||||
| Female | 0.893 | 0.500 | 0.643 | 1.241 |
| Age (6 categories) | 1.234 | <0.001 | 1.085 | 1.402 |
| Education (4 categories) | 0.920 | 0.413 | 0.753 | 1.123 |
| Income (5 categories) | 0.792 | 0.004 | 0.674 | 0.930 |
| Has ‘kids’ in household | 0.359 | 0.008 | 0.169 | 0.765 |
| Not born in Canada | 1.871 | 0.003 | 1.229 | 2.847 |
| Fraser Health Authority | 1.204 | 0.305 | 0.845 | 1.716 |
| Model 4: Has a written ACP plan | ||||
| Female | 1.207 | 0.173 | 0.921 | 1.583 |
| Age (6 categories) | 1.681 | <0.001 | 1.493 | 1.892 |
| Education (4 categories) | 1.346 | 0.001 | 1.132 | 1.600 |
| Income (5 categories) | 1.059 | 0.398 | 0.927 | 1.211 |
| Has ‘kids’ in household | 1.004 | 0.987 | 0.612 | 1.646 |
| Not born in Canada | 1.050 | 0.805 | 0.711 | 1.551 |
| Fraser Health Authority | 0.504 | <0.001 | 0.370 | 0.687 |
| Model 5: Has a designated decision maker | ||||
| Female | 1.194 | 0.099 | 0.967 | 1.473 |
| Age (6 categories) | 1.454 | <0.001 | 1.334 | 1.578 |
| Education (4 categories) | 1.018 | 0.792 | 0.892 | 1.161 |
| Income (5 categories) | 1.171 | 0.003 | 1.056 | 1.298 |
| Has ‘kids’ in household | 1.036 | 0.831 | 0.749 | 1.434 |
| Not born in Canada | 0.914 | 0.573 | 0.668 | 1.250 |
| Fraser Health Authority | 0.756 | 0.018 | 0.599 | 0.954 |
| Model 6: Aggregated ACP behaviour | ||||
| Female | 1.37 | 0.001 | 1.140 | 1.646 |
| Age (6 categories) | 1.478 | <0.001 | 1.376 | 1.587 |
| Education (4 categories) | 1.072 | 0.236 | 0.956 | 1.202 |
| Income (5 categories) | 1.117 | 0.018 | 1.019 | 1.224 |
| Has ‘kids’ in household | 0.858 | 0.278 | 0.65 | 1.132 |
| Not born in Canada | 1.019 | 0.895 | 0.773 | 1.342 |
| Fraser Health Authority | 0.91 | 0.356 | 0.744 | 1.112 |
| Cut 1 | 1.467 | – | 0.948 | 1.985 |
| Cut 2 | 2.45 | – | 1.922 | 2.977 |
| Cut 3 | 3.462 | – | 2.92 | 4.003 |
| Cut 4 | 4.721 | – | 4.154 | 5.287 |
| Cut 5 | 6.222 | – | 5.58 | 6.864 |
Logistic regression models of ACP outcomes on selected sociodemographic variables Canadian Ipsos Reid sample (n=1523), ORs and 95% CIs. Model 1 thru Model 5 use binary outcomes and Model 6 uses an ordinal outcome.
Bold text indicates that the coefficient is significant.
ACP, advance care planning.