| Literature DB >> 24289280 |
Despina Tzemis1, Jennifer Campbell, Margot Kuo, Jane A Buxton.
Abstract
BACKGROUND: Harm reduction programs are often vulnerable to political and vocal opposition despite documented evidence of their effectiveness and economic benefit. It is not well understood if opponents to harm reduction represent the general public's attitudes.Entities:
Mesh:
Year: 2013 PMID: 24289280 PMCID: PMC4221987 DOI: 10.1186/1747-597X-8-40
Source DB: PubMed Journal: Subst Abuse Treat Prev Policy ISSN: 1747-597X
Participant responses to the outcome variables of interest (n = 2000)
| General harm reduction | 828 (45%) | 565 (31%) | 83 (5%) | 166 (9%) | 192 (10%) |
| Needle distribution services | 857 (44%) | 539 (28%) | 73 (4%) | 159 (8%) | 301 (16%) |
| Needle distribution in one’s community | 526 (35%) | 456 (30%) | 57 (4%) | 156 (10%) | 311 (21%) |
| Safer inhalation equipment distribution | 417 (22%) | 558 (30%) | 60 (3%) | 272 (15%) | 573 (30%) |
Figure 1Maps of British Columbia describing the level of support for each of the outcomes of interest by Health Authority.
Bivariate analysis of the association between predictors and support for harm reduction programs in British Columbia (n = 1834)
| | ||||
|---|---|---|---|---|
| | | | ||
| Female | 981 (53.5) | 776 (79.1%) | 205 (20.9%) | |
| Male | 853 (46.5) | 617 (72.3%) | 236 (27.7%) | |
| | | | ||
| 19 – 34 | 335 (18.5) | 269 (80.3%) | 66 (19.7%) | |
| 35 – 54 | 851 (46.4) | 653 (76.7%) | 198 (23.3%) | |
| 55+ | 648 (35.3) | 471 (72.7%) | 177 (27.3%) | |
| | | | ||
| < High school graduation | 138 (7.5) | 95 (68.8%) | 43 (31.2%) | |
| = High school | 320 (17.4) | 223 (69.7%) | 97 (30.3%) | |
| = Some post secondary | 321 (509) | 252 (78.5%) | 69 (21.5%) | |
| = Certificate/ diploma program | 546 (39.8) | 379 (69.4%) | 130 (23.8%) | |
| = University graduate | 546 (29.8) | 444 (81.3%) | 102 (18.7%) | |
| | | | ||
| VCH | 372 (20.3) | 294 (79.0%) | 78 (21.0%) | |
| IH | 364 (19.8) | 279 (76.6%) | 85 (23.4%) | |
| FH | 365 (19.9) | 251 (68.8%) | 114 (31.2%) | |
| VIHA | 368 (20.1) | 287 (78.0%) | 81 (22.0%) | |
| NH | 365 (19.9) | 282 (77.3%) | 83 (22.7%) | |
*p-values from conventional χ2-tests for association between categorical variables.
In this summary, support includes ‘support’ and ‘strongly support’ responses and oppose includes ‘neutral’, ‘oppose’ and ‘strongly oppose’ responses.
Logistic regression models of predictors associated with support for harm reduction programs in British Columbia (n = 1834)
| | | | | | | |
| Female (referent) vs. Male | 0.76 | 0.61, 0.94 | 0.74 | 0.59, 0.92 | ||
| | | | | | | |
| 19 – 34 (referent) | | | | | | |
| 35 – 54 | 0.90 | 0.69, 1.20 | 0.481 | 0.89 | 0.67, 1.18 | 0.412 |
| 55+ | 0.64 | 0.49, 0.83 | 0.63 | 0.48, 0.83 | ||
| | | | | | | |
| = University graduate (referent) | | | | | | |
| < High school graduation | 0.49 | 0.32, 0.76 | 0.51 | 0.33, 0.79 | ||
| = High school | 0.46 | 0.46, 0.86 | 0.70 | 0.51, 0.97 | ||
| = Some post secondary | 0.60 | 0.60, 1.16 | 0.271 | 0.88 | 0.63, 1.23 | 0.443 |
| = Certificate/ diploma program | 0.52 | 0.52, 0.93 | 0.69 | 0.51, 0.92 | ||
| | | | | | | |
| VCH (referent) | | | | | | |
| IH | 0.91 | 0.64, 1.29 | 0.597 | 0.99 | 0.69, 1.41 | 0.934 |
| FH | 0.57 | 0.43, 0.75 | 0.59 | 0.44, 0.78 | ||
| VIH | 1.02 | 0.72, 1.45 | 0.914 | 1.12 | 0.78, 1.60 | 0.545 |
| NH | 0.92 | 0.56, 1.53 | 0.757 | 1.02 | 0.61, 1.69 | 0.948 |
1p-values from single d.f., Wald χ2-tests for each parameter in single predictor logistic regression models.
2p-values from single d.f. Wald χ2-tests for each parameter in a multiple predictor logistic regression model including Sex, Age, Education, and Health Authority.