| Literature DB >> 24644188 |
Ana A Teixeira1, Louise Hanvey2, Carolyn Tayler3, Doris Barwich4, Sharon Baxter2, Daren K Heyland5.
Abstract
BACKGROUND: Advance care planning (ACP) has the potential to increase patient-centred care, reduce caregiver burden, and reduce healthcare costs at the end of life. Current levels of public participation in ACP activities are unknown. The purpose of this study was to determine the level of engagement of average Canadians in ACP activities.Entities:
Keywords: Advance Care Planning; Advance Directives; Intervention Studies; Regional Health Planning; Socioeconomic Factors
Mesh:
Year: 2013 PMID: 24644188 PMCID: PMC4345810 DOI: 10.1136/bmjspcare-2013-000473
Source DB: PubMed Journal: BMJ Support Palliat Care ISSN: 2045-435X Impact factor: 3.568
Sociodemographic description of the national sample (n=1021), the rest of Canada (n=991) and the Fraser Health Authority (FHA) samples (n=532)*
| Sociodemographic variables | Categories | National sample | Rest of Canada (n=991) | FHA | p Value† |
|---|---|---|---|---|---|
| Gender (%) | Male | 487 (48) | 472 (48) | 275 (52) | 0.130 |
| Female | 534 (52) | 519 (52) | 257 (48) | ||
| Age (%) | 18–24 | 42 (4) | 42 (4) | 7 (1) | <0.001 |
| 25–34 | 189 (19) | 184 (19) | 53 (10) | ||
| 35–44 | 47 (5) | 45 (5) | 69 (13) | ||
| 45–54 | 339 (33) | 330 (33) | 93 (17) | ||
| 55–64 | 187 (18) | 184 (19) | 140 (26) | ||
| 65+ | 217 (21) | 206 (21) | 170 (32) | ||
| Education (%) | <High school | 81 (8) | 79 (8) | 33 (6) | <0.001 |
| High school | 330 (32) | 317 (32) | 110 (21) | ||
| Postsec | 480 (47) | 468 (47) | 231 (43) | ||
| Univ grad | 130 (13) | 127 (13) | 158 (30) | ||
| Household income, US$ (%) | <$25K | 172 (17) | 167 (17) | 64 (12) | <0.001 |
| $25K–<$50K | 245 (24) | 235 (24) | 124 (23) | ||
| $50K–<$100K | 434 (43) | 423 (43) | 193 (36) | ||
| $100K–<$150K | 146 (14) | 143 (14) | 115 (22) | ||
| $150K+ | 24 (2) | 23 (2) | 36 (7) | ||
| Region (%) | BC | 189 (18) | 159 (16) | 532 (100) | <0.001 |
| AB | 129 (13) | 129 (13) | – | ||
| SK/MB | 77 (7) | 77 (8) | – | ||
| Ontario | 326 (32) | 326 (33) | – | ||
| Quebec | 231 (23) | 231 (23) | – | ||
| Atlantic | 68 (7) | 68 (7) | – | ||
| Don't know | 1 (0) | 1 (0) | – | ||
| Has ‘kids’ in household (%) | 111 (11) | 110 (11) | 106 (20) | <0.001 | |
| Not born in Canada (%) | 104 (11) | 101 (10) | 106 (20) | <0.001 | |
*The national sample included 30 respondents from the FHA; the FHA sample included 502 oversample respondents and the 30 national sample respondents from the FHA; and the rest of Canada sample comprises the national sample respondents minus the 30 respondents from the FHA.
†p Value reflects the extent to which FHA and rest of Canada significantly differ from each other (Pearson χ2 test).
ACP usage in the national sample, and comparisons between FHA with the rest of Canada and FHA with the rest of BC
| ACP outcomes | National sample | FHA vs Rest of Canada | FHA vs Rest of BC | ||||
|---|---|---|---|---|---|---|---|
| FHA (n=532) | Rest of Canada (n=991) | p Value* | FHA (n=532) | Rest of BC (n=159) | p Value* | ||
| Knows the term ACP (%) | 160 (16) | 108 (20.3) | 25 (15.7) | 0.199 | |||
| ACP discussions with family/friends (%) | 530 (52) | 316 (59.4) | 87 (54.7) | 0.293 | |||
| ACP discussions with healthcare professionals (%) | 105 (10) | 66 (12.4) | 102 (10.3) | 0.209 | 66 (12.4) | 23 (14.5) | 0.496 |
| Has an ACP written down (%) | 204 (20) | 82 (15.4) | 21 (13.2) | 0.493 | |||
| Has substitute decision maker (%) | 479 (47) | 242 (45.5) | 467 (47%) | 0.542 | 242 (45.5) | 70 (44) | 0.745 |
| Aggregate ACP outcomes (mean values) | 1021 | 532 | 991 | 0.29 | 532 | 159 | 0.37 |
Bold text indicates that the coefficient is significant.
*p Values reflect the extent to which FHA and Rest of Canada and FHA and Rest of BC are different from each other (Pearson χ2 test for binary ACP outcomes and two sample t test with equal variance for aggregate ACP outcome).
ACP, advance care planning; FHA, Fraser Health Authority.
Influence of selected sociodemographic variables on advance care planning outcomes
| OR | p>|z| | (95% CI) | ||
|---|---|---|---|---|
| Female | 1.117 | 0.423 | 0.852 | 1.465 |
| Income (5 categories) | 1.027 | 0.688 | 0.901 | 1.172 |
| Not born in Canada | 0.928 | 0.712 | 0.626 | 1.376 |
| Fraser Health Authority | 1.227 | 0.169 | 0.917 | 1.642 |
| Education (4 categories) | 0.985 | 0.828 | 0.863 | 1.125 |
| 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 |
| Female | 0.893 | 0.500 | 0.643 | 1.241 |
| Education (4 categories) | 0.920 | 0.413 | 0.753 | 1.123 |
| Fraser Health Authority | 1.204 | 0.305 | 0.845 | 1.716 |
| Female | 1.207 | 0.173 | 0.921 | 1.583 |
| 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 |
| Female | 1.194 | 0.099 | 0.967 | 1.473 |
| Education (4 categories) | 1.018 | 0.792 | 0.892 | 1.161 |
| Has ‘kids’ in household | 1.036 | 0.831 | 0.749 | 1.434 |
| Not born in Canada | 0.914 | 0.573 | 0.668 | 1.250 |
| Education (4 categories) | 1.072 | 0.236 | 0.956 | 1.202 |
| 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.