| Literature DB >> 24268108 |
Eleanor Hayes-Larson1, Lauretta E Grau, Kaveh Khoshnood, Russell Barbour, Oanh Thi Hai Khuat, Robert Heimer.
Abstract
BACKGROUND: A syndemic conjoins injection drug use, incarceration, and HIV in Vietnam, where there is a need for programs that empower people who use drugs to minimize the harms thereby produced. Here we present a post-hoc evaluation of the organizing efforts of the Centre for Supporting Community Development Initiatives (SCDI) with two community-based drug user groups (CBGs) in Hanoi.Entities:
Mesh:
Year: 2013 PMID: 24268108 PMCID: PMC4176489 DOI: 10.1186/1477-7517-10-33
Source DB: PubMed Journal: Harm Reduct J ISSN: 1477-7517
Participant sociodemographic characteristics
| Ageb | 34.2 (6.9) | 34.7 (6.7) | 33.7 (7.2) | 0.158 |
| Age of first drug useb | 22.8 (5.8) | 22.3 (5.8) | 23.2 (5.9) | 0.110 |
| Male | 272 (73.9) | 131 (70.8) | 141 (77.0) | 0.173 |
| Education | | | | 0.515 |
| Elementary | 30 (8.1) | 17 (9.1) | 13 (7.1) | |
| Middle | 146 (39.5) | 69 (36.9) | 77 (42.1) | |
| Some High school | 66 (17.8) | 39 (20.9) | 27 (14.8) | |
| High school graduate | 106 (28.6) | 51 (27.3) | 55 (30.0) | |
| Some College or more | 22 (6.0) | 11(5.9) | 11 (6.0) | |
| Marital Status | | | | 0.130 |
| Married | 186 (50.0) | 89 (47.3) | 97 (52.7) | |
| Separated/divorced | 76 (20.4) | 46 (24.5) | 30 (16.3) | |
| Widowed | 12 (3.2) | 8 (4.3) | 4 (2.2) | |
| Never Married | 98 (26.3) | 45 (23.9) | 53 (28.8) | |
| Sleep last 30 daysc | | | | 0.536 |
| Own or others’ home | 353 (97.2) | 181 (97.8) | 172 (96.6) | |
| Other | 10 (2.8) | 4 (2.2) | 6 (3.4) |
aChi-squared test, given as N (column %) unless otherwise noted. Numbers and percentages may not sum to total due to missing data.
bt-test given as mean (standard deviation).
cFisher’s Exact Test, given as N (column %).
Participant drug use
| | | | | |
| Age of first drug usea | 22.8 (5.8) | 22.3 (5.8) | 23.2 (5.9) | 0.110 |
| Have ever injected drugs | 236 (68.0) | 118 (66.3) | 118 (69.8) | 0.481 |
| | | | | |
| Used opioids in the last 30 days | 187 (50.5) | 82 (44.1) | 105 (57.1) | |
| Used amphetamines in the last 30 days | 25 (6.9) | 11 (5.9) | 14 (7.9) | 0.461 |
| Injected in the last 30 daysb | 114 (48.5) | 51 (42.2) | 63 (55.3) |
at-test given as mean (standard deviation).
bContingent on having ever injected drugs.
Associations between membership and psychosocial, knowledge, and criminal justice variables
| Quality of Life (QOL)b | | | | | | |
| Overall self-rated QOL | 2.8 (0.7) | 2.5 (0.7) | <0.001 | | | |
| Overall self-rated health | 3.0 (0.8) | 2.6 (0.8) | <0.001 | | | |
| QOL physical | 3.1 (0.5) | 3.0 (0.4) | 0.007 | | | |
| QOL psychological | 3.2 (0.5) | 2.8 (0.6) | <0.001 | 2.04 | 1.07-3.93 | 0.032 |
| QOL social | 3.1 (0.6) | 2.8 (0.7) | <0.001 | | | |
| QOL environmental | 2.8 (0.6) | 2.4 (0.5) | <0.001 | 2.54 | 1.31-4.93 | 0.006 |
| Self Efficacy/Social Outcome Expectancyc | ||||||
| Self-efficacy to get healthcare | 2.7 (0.9) | 2.1 (1.0) | <0.001 | 1.59 | 1.24-2.04 | <0.001 |
| Social Outcome Expectancy (family) | 2.5 (1.2) | 2.1 (1.1) | 0.002 | | | |
| Social Outcome Expectancy (friends) | 2.6 (1.1) | 2.2 (1.0) | <0.001 | | | |
| Knowledged | | | | | | |
| HIV knowledge | 57.6 (25.2) | 56.2 (24.7) | 0.607 | | | |
| Hepatitis knowledge | 57.9 (24.4) | 54.2 (23.6) | 0.145 | | | |
| Overdose knowledge | 37.6 (16.7) | 33.2 (14.6) | 0.007 | | | |
| Drug Use, past 30 days | | | | | | |
| Opioid Use | 82 (44.1) | 105 (57.1) | 0.013 | | | |
| Injection of Drugs | 51 (27.1) | 63 (34.2) | 0.044 | | | |
| Policing/Incarceration | | | | | | |
| Ever Had Interactions with Police about Drugse | 147 (81.2) | 123 (66.9) | 0.002 | 3.15 | 1.79-5.52 | <0.001 |
| Ever in a Government Centree | 118 (65.2) | 94 (52.8) | 0.017 | | | |
| No. Times in Government Centre (if ever) | 1.4 (0.8) | 1.5 (0.9) | 0.912 | | | |
| Ever sent to prisone | 76 (41.8) | 60 (32.6) | 0.070 | | | |
| Prison was about drug use (if ever in prison)e | 61 (84.7) | 46 (76.7) | 0.239 | |||
at-test given as mean (standard deviation), unless otherwise noted. Numbers and percentages may not sum to total due to missing data.
bResponses for Likert scores 1–5 (Very poor, Poor, Neither poor nor good, Good, Very Good).
cResponses for Likert scores 1–5 (No confidence at all, Not very confident, Neither confident nor not confident, Somewhat confident, Totally confident).
dPercent of questions answered correctly (standard deviation).
eChi-squared test given as N (column %).
Percentage of respondents answering knowledge questions correctly
| HIV/AIDS KNOWLEDGE | | | OVERDOSE KNOWLEDGE | | |
| When a couple decides that they are ONLY going to have sex with each other, they no longer need to use condoms to prevent HIV. | F | 66.9 (62.1, 71.8) | Causing physical pain will help keep someone who is overdosing conscious or alive. | F | 36.9 (31.9, 41.9) |
| The fewer sex partners you have in your life, the less likely you are to get HIV. | T | 66.0 (61.2, 70.9) | Fatal ODs are more likely to happen when people use alone. | T | 89.5 (86.4, 92.6) |
| People can still transmit the HIV/AIDS virus even if they test negative for the virus. | T | 45.2 (40.1, 50.3) | People are more likely to have an OD if they use soon after getting out of a government center, prison, or detoxification program. | T | 84.8 (81.1, 88.5) |
| Most people who have HIV know they have it. | F | 52.1 (46.9, 57.2) | Most heroin OD deaths happen very quickly, in less than 15 minutes after taking the drugs. | F | 9.8 (6.7, 12.8) |
| HEPATITIS KNOWLEDGE | | | It is easy to tell the difference between a “heavy nod” and a heroin overdose. | F | 10.1 (7.0, 13.2) |
| Hepatitis can cause liver cancer. | T | 72.1 (67.5, 76.7) | Sweating and anxiety are signs of a heroin OD. | F | 58.0 (52.9, 63.1) |
| HIV is easier to transmit than hepatitis. | F | 46.4 (41.3,51.6) | Injecting water can slow or reverse the effects of an opioid overdose | F | 30.5 (25.7, 35.2) |
| You will be able to recognize if any individual is infected with hepatitis. | F | 40.9 (35.8, 46.0) | Someone who is overdosing should be immediately placed on their back. | F | 18.3 (14.3, 22.3) |
| Most people infected with hepatitis know that they have the disease. | F | 46.4 (41.2, 51.6) | Naloxone is a medication for reversing the effects of a heroin OD. | T | 47.7 (42.4, 53.0) |
| Drinking alcohol worsens the course of hepatitis C. | T | 84.2 (80.4, 87.9) | Naloxone must be injected into a vein. | F | 26.9 (22.2, 31.7) |
| You are more likely to get hepatitis B than hepatitis C by having unprotected sex. | T | 54.3 (49.1, 49.4) | Naloxone will reverse a stimulant overdose. | F | 24.8 (20.3, 29.4) |
*Mean and 95% confidence interval.
Associations between membership and psychosocial factors and injection risk behaviors in a subsample of IDUs only
| 35.2 (6.5) | 32.6 (6.1) | ||
| Age at first injection | 24.9 (5.3) | 24.3 (5.3) | 0.560 |
| Injections/month | 49.0 (42.1) | 49.4 (35.4) | 0.948 |
| Proportion of Injections with new needle | 1.0 (0.1) | 0.9 (0.2) | |
| Proportion of Injections Alone | 0.8 (0.3) | 0.8 (0.3) | 0.668 |
| Split drugsb | 19 (37.2) | 31 (49.2) | 0.201 |
| Reused syringesc,d | 3 (6.0) | 7 (11.5) | 0.507 |
| Passed syringes to othersc,d | 1 (2.1) | 4 (6.6) | 0.382 |
| Cleaned skind | | | 0.201 |
| Never | 28 (57.1) | 42 (67.7) | |
| At least once | 17 (34.7) | 19 (30.6) | |
| Many times | 4 (8.2) | 1 (1.6) | |
| How Cleaned Skinc | | | 0.101 |
| Water | 12 (52.2) | 6 (31.6) | |
| Sponge/Alcohol Towel | 4 (17.4) | 4 (21.0) | |
| Anti-bacterial liquid | 2 (8.7) | 1 (5.3) | |
| Tongue/saliva | 2 (8.7) | 5 (26.3) | |
| Usually nothing | 3 (13.0) | 0 (0.0) | |
| Other | 0 (0.0) | 3 (15.8) | |
| How Stopped Bleedingc | | | 0.127 |
| Cotton/sponge | 18 (39.1) | 13 (22.4) | |
| Tissue | 9 (19.6) | 17 (29.3) | |
| Alcohol sponge | 5 (10.9) | 2 (3.4) | |
| Fingers | 13 (28.3) | 22 (37.9) | |
| Other | 1 (2.2) | 5 (6.9) | |
| Self-Efficacye | | | |
| Get new syringes | 3.8 (0.3) | 3.4 (0.8) | |
| Refuse to share syringes | 3.5 (0.7) | 3.1 (0.8) | |
| Not share water | 3.0 (1.1) | 2.6 (1.2) |
Bold p-values indicated variables that remained significant in the multivariate model.
at-test given as mean (standard deviation) unless otherwise noted. Numbers and percentages may not sum to total due to missing data.
bChi-squared test given as N (column %).
cFisher’s Exact test given as N (column %).
dDichotomized to Never/At Least Once, with At Least Once presented.
eMean responses from Likert Score 1–5 (No confidence at all, Not very confident, Neither confident nor not confident, Somewhat confident, Totally confident).