| Literature DB >> 24498406 |
Lirong Wang1, Xiaoli Wei1, Xueliang Wang1, Jinsong Li2, Hengxin Li2, Wei Jia3.
Abstract
This study evaluated the long-term effects of different psychosocial intervention models in methadone maintenance treatment (MMT) in Xi'an China. Patients from five MMT clinics were divided into three groups receiving MMT only, MMT with counseling psychology (CP) or MMT with contingency management (CM). A five-year follow-up was carried out with daily records of medication, monthly random urine morphine tests, and tests for anti-HIV and anti-HCV every six months. Drug use behavior was recorded six months after initial recruitment using a survey. Adjusted RRs and their 95% confidence intervals (CIs) were estimated using an unconditional logistic regression model or a Cox proportional hazard model. A total of 2662 patients were recruited with 797 in MMT, 985 in MMT with CP, and 880 in MMT with CM. Following six months of treatment, the injection rates of MMT with CP and MMT with CM groups were significantly lower than that of MMT (5.1% and 6.9% vs. 16.3%, x² = 47.093 and 29.908, respectively; P<0.05). HIV incidences for MMT, MMT with CP and MMT with CM at the five year follow-up were 20.09, 0.00 and 10.02 per ten thousand person-years, respectively. HCV incidences were 18.35, 4.42 and 6.61 per hundred person-years, respectively, demonstrating that CP and CM were protective factors for HCV incidence (RR = 0.209 and 0.414, with range of 0.146-0.300 and 0.298-0.574, respectively). MMT supplemented with CP or CM can reduce heroin use and related risk behaviors, thereby reducing the incidence of HIV and HCV.Entities:
Mesh:
Substances:
Year: 2014 PMID: 24498406 PMCID: PMC3912169 DOI: 10.1371/journal.pone.0087931
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Risk factor assignment in logistic and Cox regression analyses.
| Factors | Value Assignment | |
| Group |
| MMT = 0, MMT with CP = 1, MMT with CM = 2 |
| Gender |
| Female = 0, Male = 1 |
| Age (years) |
| ≤30 = 1, 31 – 40 = 2, > 40 = 3 |
| Years of drug use |
| ≤5 = 1, 6 – 10 = 2, > 10 = 3 |
| Ethnicity |
| Han = 0, Other = 1 |
| Education (years) |
| ≤9 = 0, >9 = 1 |
| Marital status |
| Single = 1, Married or have a regular partner = 2, Divorced, separated or widowed = 3 |
| Employment |
| No = 0, Yes = 1 |
| Injecting |
| No = 0, Yes = 1 |
| Needle sharing |
| No = 0, Yes = 1 |
| Dosage (mg) |
| ≤30 = 1, 31 – 60 = 2, >60 = 3 |
Demographic information of participants.
| MMT | MMT with CP | MMT with CM | Total | |
| ( | ( | ( | ( | |
| Age in years, | 36.6 (5.99) | 37.1 (5.82) | 36.9 (5.85) | 36.9 (5.88) |
| Age of first drug use, | 26.5 (6.83) | 26.8 (6.29) | 27.0 (7.08) | 26.8 (6.72) |
| Years of drug use, | 9.7 (5.58) | 9.9 (4.91) | 9.4 (5.52) | 9.7 (5.32) |
| Gender, | ||||
| Male | 660 (82.8) | 809 (82.1) | 714 (81.1) | 2183 (82.0) |
| Female | 137 (17.2) | 176 (17.9) | 166 (18.9) | 479 (18.0) |
| Ethnicity, | ||||
| Han | 769 (96.5) | 845 (85.8) | 807 (91.7) | 2421 (90.9) |
| Other | 28 (3.5) | 140 (14.2) | 73 (8.3) | 241 (9.1) |
| Education, | ||||
| Elementary or lower | 62 (7.8) | 106 (10.8) | 71 (8.1) | 239 (9.0) |
| Secondary school | 453 (56.8) | 535 (54.3) | 452 (51.4) | 1440 (54.1) |
| High school or higher | 282 (35.4) | 344 (34.9) | 357 (40.6) | 983 (36.9) |
| Marital status, | ||||
| Single | 234 (29.4) | 332 (33.7) | 303 (34.4) | 869 (32.6) |
| Married or have a regular partner | 426 (53.5) | 549 (55.7) | 452 (51.4) | 1427 (53.6) |
| Divorced, separated or widowed | 137 (17.2) | 104 (10.6) | 125 (14.2) | 366 (13.7) |
| Employment, | ||||
| Yes | 263 (33.0) | 177 (18.0) | 177 (20.1) | 617 (23.2) |
| No | 534 (67.0) | 808 (82.0) | 703 (79.9) | 2045 (76.8) |
| Injecting, | ||||
| Yes | 641 (80.4) | 791 (80.3) | 670 (76.1) | 2102 (79.0) |
| No | 156 (19.6) | 194 (19.7) | 210 (23.9) | 560 (21.0) |
| Needle sharing, | ||||
| Yes | 130 (16.3) | 466 (47.3) | 150 (17.0) | 746 (28.0) |
| No | 667 (83.7) | 519 (52.7) | 730 (83.0) | 1916 (72.0) |
| Dosage (mg), | 46.3 (17.07) | 57.6 (19.54) | 49.6 (15.30) | 51.6 (18.13) |
MMT vs. MMT with CP, P<0.05.
MMT with CP vs. MMT with CM, P<0.05.
MMT vs. MMT with CM, P<0.05.
Retention rates from 2006 to 2011.
| Groups | Follow-up years | Subjects under Observation | No. of Drop-out | No. of Censoring | Retention Rate |
|
|
| MMT | 1 | 797 | 138 | 0 | 0.83 | 0.707 | 0.239 |
| 2 | 659 | 66 | 0 | 0.74 | 0.447 | 0.326 | |
| 3 | 593 | 51 | 0 | 0.68 | 1.061 | 0.145 | |
| 4 | 542 | 65 | 0 | 0.60 | 0.354 | 0.363 | |
| 5 | 477 | 87 | 123 | 0.47 | –0.707 | 0.239 | |
| MMT with CP | 1 | 985 | 175 | 0 | 0.82 | –5.657 | <0.001 |
| 2 | 810 | 91 | 0 | 0.73 | –6.364 | <0.001 | |
| 3 | 719 | 74 | 0 | 0.65 | –2.828 | 0.002 | |
| 4 | 645 | 64 | 0 | 0.59 | –1.414 | 0.079 | |
| 5 | 581 | 92 | 65 | 0.49 | –0.707 | 0.239 | |
| MMT with CM | 1 | 880 | 88 | 0 | 0.90 | –4.950 | <0.001 |
| 2 | 792 | 67 | 0 | 0.82 | –3.578 | <0.001 | |
| 3 | 725 | 87 | 0 | 0.73 | –1.768 | 0.038 | |
| 4 | 638 | 82 | 0 | 0.63 | –1.061 | 0.145 | |
| 5 | 556 | 89 | 164 | 0.51 | –1.414 | 0.079 |
MMT vs. MMT with CP.
MMT with CP vs. MMT with CM.
MMT vs. MMT with CM.
Figure 1The cumulative retention rates of MMT participants from 2006 to 2011.
The retention rate of participants in MMT with CM was significantly higher than that of MMT with CP (log-rank x = 7.490; P<0.05).
Multivariate Cox proportional hazards model for retention in MMT.
| Variates |
|
|
|
|
|
|
| |
|
| ||||||||
| Groups | 15.551 | 2 | 0.000 | |||||
| MMT with CP | 0.128 | 0.069 | 3.436 | 1 | 0.064 | 1.136 | 0.993 | 1.300 |
| MMT with CM | –0.137 | 0.070 | 3.899 | 1 | 0.048 | 0.872 | 0.760 | 0.999 |
| Gender | 0.207 | 0.074 | 7.835 | 1 | 0.005 | 1.231 | 1.064 | 1.423 |
| Years of drug use | –0.118 | 0.035 | 11.700 | 1 | 0.001 | 0.888 | 0.830 | 0.951 |
| Ethnicity | –0.294 | 0.102 | 8.216 | 1 | 0.004 | 0.746 | 0.610 | 0.911 |
| Injecting | –0.294 | 0.065 | 20.361 | 1 | 0.000 | 0.746 | 0.656 | 0.847 |
| Dosage (mg) | –0.230 | 0.049 | 22.175 | 1 | 0.000 | 0.794 | 0.722 | 0.874 |