Literature DB >> 24349294

Mortality among methadone maintenance clients in China: a six-year cohort study.

Xiaobin Cao1, Zunyou Wu1, Li Li2, Lin Pang1, Keming Rou1, Changhe Wang1, Wei Luo1, Wenyuan Yin1, Jianhua Li3, Jennifer M McGoogan1.   

Abstract

OBJECTIVE: To assess the overall mortality of methadone maintenance treatment (MMT) clients in China and its associated factors.
METHODS: A total of 1,511 MMT clients, all of whom enrolled in China's first eight MMT clinics between March and December 2004, were included in this cohort study and followed for approximately six years, until June 2010. Mortality and its predictors were examined using Cox proportional hazards regression models.
RESULTS: A total of 154 deaths were observed within 5,391 person-years (PY) of follow-up for an all-cause mortality rate of 28.6 per 1,000 PY. The leading causes of death were drug overdose (33.8%), HIV/AIDS-unrelated disease (21.4%), and HIV/AIDS (16.9%). The all-cause mortality rate of clients engaged in MMT for one year or less was roughly three times that of clients who stayed in MMT for four years or more (14.0 vs. 4.6, p<0.0001), HIV-positive subjects was nearly four times mortality rate than that of HIV-negative individuals (28.1 vs.6.8, p<0.0001). ART-naive HIV-positive subjects had approximately two times higher mortality rate than those receiving ART (31.2 vs. 17.3, <0.0001). After adjusting for confounding variables, we found that being male (HR = 1.63, CI: 1.03-2.57, p = 0.0355) and being HIV-positive (HR = 5.16, CI: 3.70-7.10, p<0.0001) were both associated with higher risk of death whereas increased durations of methadone treatment were associated with a lower risk of death (HR = 0.26, CI: 0.18-0.38, p<0.0001 for two to three years, HR = 0.08, CI: 0.05-0.14, p<0.0001 for four or more years).
CONCLUSION: Overall mortality was high among MMT clients in China. Specific interventions aimed at decreasing mortality among MMT clients are needed. Our study supports the need for keeping client at MMT longer and for expanding ART coverage and suggests the potential benefits of integrated MMT and ART services for drug users in China.

Entities:  

Mesh:

Year:  2013        PMID: 24349294      PMCID: PMC3861403          DOI: 10.1371/journal.pone.0082476

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Drug users (DUs) are well-known to have a much higher risk of death than non-DUs [1]–[2], with most likely causes of death being overdose, suicide, and HIV/AIDS-related disease [3]–[5]. As China is now thought to have the largest DU population in the world, some 2.2 million [6], its drug use epidemic has become a major public health concern. Furthermore, the high-risk behavior of injecting DUs was the initiator and the major driver of the early HIV epidemic in China. By the end of 2011, approximately 780,000 people were estimated to be living with HIV/AIDS nationwide, with 28.4% of infections attributed to injecting drug use and HIV prevalence among DUs as high as 50% in some regions [7]. In an attempt to combat the growing drug abuse and HIV/AIDS epidemics, China's National Methadone Maintenance Treatment (MMT) Program was piloted in 2004, scaled up starting in 2006, and as of April 2012, encompassed 747 clinics nationwide, covering more than 350,000 DUs, cumulatively. Several studies have since documented the positive impacts of this program among DUs on illicit drug use, HIV incidence, and quality of life, as well as other factors [8]–[12]. Furthermore, evidence from MMT programs in other countries document lower mortality rates among MMT clients as compared to DUs not in treatment [13]–[16]. Among DUs in MMT, mortality rates in other settings range from 2.4 per 1,000 PY to 14.9 per 1,000 PY [17]–[18], and factors found to be associated with improved survival include high methadone dose, long duration of MMT retention, and antiretroviral therapy (ART) for those who were HIV-positive [19]–[20]. However, mortality among DUs in China's MMT program has thus far not been assessed. Therefore, the purpose of this study was to examine the overall mortality of MMT clients enrolled in the first eight MMT clinics in China, and examine factors associated with improved survival in this setting. We sought to test the hypothesis that while mortality is high among clients in China's MMT program, increased length of methadone treatment is associated with improved survival.

Methods

Study design

The China national MMT program is actually a prospective, observational open cohort of treatment of opioid users. This study is a secondary analysis of existing government MMT data. A subset of fixed cohort MMT clients enrolled in the first 8 clinics between 23 March 2004 and 31 December 2004, were selected and followed up to 30 June 2010. The mortality of participants in the first eight MMT clinics in China (two in Sichuan, one in Yunnan, two in Guizhou, one in Guangxi, and two in Zhejiang) was assessed from 23 March 2004 to 30 June 2010, and verified retrospectively in 2010. The dynamic nature of the cohort is presented as in . The cohort was followed in a unique environment with a centralized and nationwide data system - China's MMT Information Management System. This facilitated accurate ascertainment of date and cause of death for all subjects.
Figure 1

The overall picture of clients' treatment dynamics.

The study participants were enrolled between March 23, 2004 and October 31, 2004, and followed until June 30, 2010. Treatment break means clients missed more than 30 consecutive days during the follow-up period. The first line (solid line) means a client was treated continuously before he/she dropped out of MMT. The second line means a clients dropped out of MMT for a period of time (broken line), reenrolled in MMT (solid line), and then dropped out of MMT again. Even if a client dropped out of MMT, he/she was followed so he/her (live or dead) was assessed during the follow-up period.

The overall picture of clients' treatment dynamics.

The study participants were enrolled between March 23, 2004 and October 31, 2004, and followed until June 30, 2010. Treatment break means clients missed more than 30 consecutive days during the follow-up period. The first line (solid line) means a client was treated continuously before he/she dropped out of MMT. The second line means a clients dropped out of MMT for a period of time (broken line), reenrolled in MMT (solid line), and then dropped out of MMT again. Even if a client dropped out of MMT, he/she was followed so he/her (live or dead) was assessed during the follow-up period.

Study subjects

When the national MMT program began in China, all participants were required to meet the following MMT program enrollment eligibility criteria: 1) have failed several times at attempts to discontinue heroin use, 2) have spent at least two terms in a compulsory detoxification center, 3) be 20 years old or older, 4) be registered as a local resident in the area in which the clinic is located, and 5) be of full civil capacity. HIV-positive DUs were only required to meet the latter two criteria [8]–[9]. The study subjects for this study were clients of MMT clinics who were enrolled in China's national MMT program between 23 March 2004 and 31 December 2004. A total of 1,511 MMT clients were included in our study cohort. A flow diagram depicting the development of our cohort is shown in .
Figure 2

Flow diagram depicting the development of the study cohort as well as causes of death for deceased subjects and in- or out-of-treatment status for surviving subjects.

Data collection

China's MMT Information Management System was launched simultaneously with the opening of the first eight MMT clinics in 2004. This system is used to record and retain MMT client data and has since been upgraded to a web-based system in 2008 [21]. Each patient is given a unique treatment number for tracking purposes in this system upon entry into the MMT program and each clinic uploads its daily services records to the system in real-time. Data collected include demographic information and drug use history on enrollment, daily methadone dose records, results of urine opiate tests and HIV and hepatitis C test results at entry, 6 months, 12 months, and then at 12-month intervals thereafter. In addition, if patients died or discontinued taking methadone for 30 consecutive days, special efforts were made to collect data on patients' death or drop-out reasons. Socio-demographics and drug use history were collected in baseline and follow-up surveys, which were administered by trained interviewers in private rooms at MMT clinics within the first month of treatment and at the end of the study. Treatment experiences, including daily methadone dose, duration of methadone treatment, and urine tests positive for opiates during treatment, as well as dates and causes of death during the follow-up were extracted from MMT Information Management System. Due to the fact that methadone doses for each individual client tend to change over time, methadone exposure was expressed as the average methadone dose and calculated as the sum of doses taken divided by the cumulative number of days methadone was received. The proportion of urine tests positive for opiates during treatment was calculated as the number of positive urine opiate drug screen results divided by the total number of tests administered and expressed as a percentage. ART exposure was categorized using an intent-to-treat approach, whereby subjects were categorized as ART-treated if they had ever initiated ART, regardless of their level of adherence or duration of treatment. Dates and causes of death were identified by MMT clinic or local centers for disease control and prevention (CDC) staff members by continuous on-site follow-up. In addition, dates and causes of death were ascertained from linkages with death records of MMT clinics and public security sectors as well as information provided by family members, which limited our lost to follow-up population and enabled subjects to be followed until their death or the end of study period even if they discontinued MMT. Causes of death were determined based on the International Statistical Classification of Diseases Codes Version 10 [22].

Statistical analysis

Because it's a prospective cohort study followed by approximately six years, survival analysis methods were used. Univariate analysis was conducted before proceeding to more complicated models. First, we descriptively analyzed the demographic, drug use history, and MMT treat characteristics of our study population. Second, for all categorical variables, Kaplan-Meier curves were created and log-rank tests were used to look at whether or not to include predictors in the final model. For continuous variables, they have been categorized then Kaplan-Meier curves and log-rank tests been used to find potential candidates for the final model. Variables found to have a p-value of less than 0.25 in univariate analysis and groups of variables found to be proportional were included in the final multivariate model. Third, Cox proportional hazards regression models were built to investigate predictors of mortality. We treated death at the end of the six-year period as the dependent variables and others as predictor variables. Dummy variables were created for categorical variables selected in the model. Hazard Ratios (HRs) and their 95% confidence intervals (CIs) were reported, all p-values were two-tailed and a p-value of less than 0.05 was considered to indicate statistical significance. All statistical analyses were performed using SAS software (version 9.2, SAS Institute, USA).

Ethics Statement

This study was a secondary data analysis using existing Chinese government MMT program data. All MMT clients signed an informed consent upon enrollment to participate in MMT program saying that their data, after removing their personal identifications, could be used in epidemiological studies such as this. Therefore, no additional study-specific consent for this current study was sought. This study protocol was reviewed and approved by the Institutional Review Board of the National Center for AIDS/STD Control and Prevention, China CDC.

Results

Study population

A total of 1,511 subjects were enrolled in the study (Figure 2). Over the six-year follow-up period, a total of 154 subjects (10.2%) died during the six-year follow-up period. In our study population, 77.1% (1,165) were male, 77.8% (1,176) were unemployed, 60.3% (912) were aged 30 years old above, and 31.9% (482) reported having close family relationships upon enrollment. At enrollment, 67.2% (1,015) were injecting drug users, and 30.6% (337) did not have any contact with other drug users, whereas 19.5% (295) had at least 30 contacts with drug users in the past 30 days. Average age of onset of drug use was 23.8 years (SD = 5.7), average length of drug use was 8.6 years (SD = 3.3), average travel distance between the clinic and home was 5.5 kilometers (SD = 8.4), average daily dosage was 48.6 mg (SD = 32.4). As the requirement of China's MMT protocol, clients were required to do the urine test monthly when they stayed in the MMT program. In this study, the median of urine tests positive for opiates during treatment was 15.2% (1.8%, 40.0%).

All-cause mortality and gender-specific standardization mortality rate

As summarized in Table 1, among the study cohort of 1,511 individuals, 10.2% (154) died during the study period. Male clients represented 85.7% (132) of these deaths. When causes of death were examined, 33.8% (52) were deemed due to overdose, 21.4% (33) due to non-HIV/AIDS related diseases, 16.9% (26) due to HIV/AIDS, 6.5% (10) due to suicide, and 6.5% (10) due to murder or execution. We further found that male patients were more likely to die than female patients (male vs. female: 24.5 vs. 13.0 per 1,000 PY) and that male clients were more likely to die due to overdose (male vs. female: 8.7 vs. 3.0 per 1,000 PY), non-HIV/AIDS related diseases (male versus female: 5.2 vs. 3.0 per 1,000 PY), and HIV/AIDS (male vs. female: 4.5 vs. 1.2 per 1,000 PY).
Table 1

All-cause mortality and gender-specific standardization mortality rate for the study population during six-year follow-up.

Causes of DeathAll ClientsMale ClientsFemale Clients
Deaths N (%)Deaths N (%)SMR per 1,000 PYDeaths N (%)SMR per 1,000 PY
Overdose52 (33.8)47 (35.6)8.75 (22.7)3.0
HIV/AIDS-unrelated disease33 (21.4)28 (21.2)5.25 (22.7)3.0
HIV/AIDS26 (16.9)24 (18.2)4.52 (9.1)1.2
Suicide10 (6.5)9 (6.8)1.71 (4.5)0.6
Murder/execution10 (6.5)9 (6.8)1.71 (4.5)0.6
Unknown23 (14.9)15 (6.8)2.88 (36.4)4.7
Overall154 (100)132 (85.7)24.522 (14.3)13.0

SMR: standardization mortality rate, PY: person-years.

SMR: standardization mortality rate, PY: person-years.

Mortality and its predictors

Table 2 presented the results of Log-rank tests of mortality rate by demographics, drug use history, and MMT treatment characteristics of clients on enrollment. The all-cause mortality rate of clients who remained in the MMT was almost the same as that of clients who dropped out MMT (10.6 vs. 10.0, p = 0.8333). The all-cause mortality rate for HIV-positive subjects was nearly four times that of HIV-negative individuals (28.1 vs.6.8, p<0.0001). Moreover, among HIV-positive subjects, those not receiving ART had approximately two times higher mortality than those receiving ART (31.2 vs. 17.3, p <0.0001).
Table 2

Comparisons of mortality rate by demographic and drug use history on enrollment and MMT treatment characteristics of clients.

CharacteristicsNon-deathDeathMortality rateP-value
Socio-demographics at time of MMT enrollment
Gender
Male103313211.30.0043
Female324226.4
Age (years)
≤30544559.20.3168
>308139910.9
Employment status
Unemployed105212410.50.3462
Employed305309.0
Living situation
With family or friends10621179.90.1929
Alone2953711.1
Relationship to family
Close4305210.80.0959
Average678689.1
Estranged2493412.0
HIV status
Negative1186876.8<0.0001
Positive1716728.1
Antiretroviral therapy (ART) **
No1285831.2<0.0001
Yes43917.3
Crime committed in past month
No1102619.20.0009
Yes90910310.2
Refused to answer/missing338256. 9
Drug use history at time of MMT enrollment
Length of drug use (years)7.2
≤63622810.10.0122
7 – 128479517.5
≥1314631
Drug use in past month (times per day)11.1
1 – 2209269.20.1634
3 – 49179313.2
>423135
Drug use by injection in past month7.5
No4593711.50.0032
Yes898117
Needle sharing in past month11.2
No688879.10.6682
Yes66967
Contacting current drug user in past month (total)11.1
03534410.90.8824
1 – 305396610.2
>302653018.0
Refused to answer/missing20044
Post-enrollment MMT program participation
Average methadone dose (mg/day)*
Low (≤30)249259.10.2035
Medium (31 – 60)85510410.8
High (>60)253259.0
Remaining in MMT
Yes5396410.60.8333
No8189010.0
Distance from home to MMT clinic (km)
<58879814.00.5192
≥5624569.5
4.6
Relatives who were MMT clients
No117513710.40.0489
Yes199177.9
Urine tests positive for opiates during treatment (%)
≤107088410.60.0625
11 – 20174189.4
≥21475529.9
Overall135715410.2

*Average methadone dose is calculated as the sum of all methadone doses divided by the number of days methadone was received.

**Only HIV-positive clients are included in the category “Antiretroviral therapy (ART).”

†Urine tests positive for opiates during treatment is calculated by the total number of routine urine drug tests that yielded positive results as a percentage of the total number of tests taken during the six years of follow-up.

*Average methadone dose is calculated as the sum of all methadone doses divided by the number of days methadone was received. **Only HIV-positive clients are included in the category “Antiretroviral therapy (ART).” †Urine tests positive for opiates during treatment is calculated by the total number of routine urine drug tests that yielded positive results as a percentage of the total number of tests taken during the six years of follow-up. Kaplan-Meier curves have been generated for all potential variables and selected curves are presented in Figure 3. According to results of Log-rank tests and the shapes of Kaplan-Meier curves, it was found that gender, living situation, injection in the past month, having relatives who were MMT patients, HIV status, ART and urine tests positive for opiates during treatment were included in the final Cox PH regression models. Meanwhile, length of treatment was included in the final Cox PH regression models. Table 3 summarized deaths, observed time, mortality rates and predictors of mortality over the six-year follow-up period. A total of 154 deaths were observed within 5,391.0 PY of follow-up for an all-cause mortality rate of 28.6 per 1,000 PY. The all-cause mortality rate of clients engaged in MMT for one year or less was roughly ten times that of clients who stayed in MMT for four years or more (81.1 per 1,000 PY vs. 8.2 per 1,000 PY, p<0.0001). The all-cause mortality rate for HIV-positive subjects was nearly four times that of HIV-negative individuals (71.4 per 1,000 PY vs. 19.5 per 1,000 PY, p<0.0001). Adjusting for confounding variables including living situation, injection in the past, having relatives who were MMT patients, we found that being male (HR = 1.63, CI: 1.03–2.57, p = 0.0355) and being HIV-positive (HR = 5.16, CI: 3.70–7.10, p<0.0001) were both associated with higher risk of death among our MMT client sample. By contrast, increased durations of methadone treatment were associated with a lower risk of death (HR = 0.26, CI: 0.18–0.38, p<0.0001 for two to three years, HR = 0.08, CI: 0.05–0.14, p<0.0001 for four or more years).
Figure 3

Kaplan-Meier curves by gender, length of MMT, HIV infection and ART.

Table 3

Results from multivariate Cox PH models indicating factors associated with mortality over the six-year follow-up period.

CharacteristicsDeaths, nObserved Time in PY* Mortality Rate per 1,000 PY§ HRs (95% CI)§ P-value& Adjusted HRs (95% CI)§ P-value#
Gender
Female221304.016.91.001.00
Male1324087.032.31.66 (1.04–2.64)0.03461.63 (1.03–2.57)0.0355
Living situation
With family or friends1174345.326.91.00
Alone371045.735.41.42 (0.97–2.07)0.0710
HIV status
Negative874452.619.51.001.00
Positive67938.571.45.39 (3.79–7.67)<0.00015.16 (3.70–7.19)<0.0001
Drug use by injection in past month
No371931.019.21.00
Yes1173460.033.81.15 (0.78–1.69)0.4763
Average methadone dose (mg/day)
Low (≤30)23711.932.31.001.00
Medium (31 – 60)1063456.430.70.94 (0.61–1.46)0.78800.92 (0.59–1.43)0.7067
High (>60)251222.820.40.59 (0.33–1.04)0.06690.64 (0.41–0.99)0.0435
Length of treatment (years)#
≤1911122.481.11.001.00
2 – 3452071.121.70.27 (0.19–0.40)<0.00010.26 (0.18–0.38)<0.0001
≥4182197.58.20.09 (0.05–0.15)<0.00010.08 (0.05–0.14)<0.0001
Relatives who were MMT clients
No1374441.730.81.00
Yes17949.317.91.14 (0.67–1.92)0.6368
Urine tests positive for opiates during treatment (%)
≤10842370.535.41.001.00
11 – 2018875.120.60.60 (0.35–1.00)0.0490.59 (0.35–0.98)0.0416
≥21522145.424.20.44 (0.30–0.62)<0.00010.43 (0.30–0.62)<0.0001
Overall1545391.0---

*Observed time in the study was calculated as the time from the start of methadone treatment to either death or study completion (30 June 2010), whichever occurred first.

PY: person-years, HR: hazard ratio, CI: 95% confidence interval.

Average methadone dose is calculated as the sum of all methadone doses divided by the number of days methadone was received.

Length of treatment is calculated as the total number of days that clients took methadone in the MMT clinics, than transfer to the number of years by dividing 365.

Urine tests positive for opiates during treatment is calculated by the total number of routine urine drug tests that yielded positive results as a percentage of the total number of tests taken during the six years of follow-up.

Adjusting for confounding variables including living situation, injection in the past month, having relatives who were MMT patients.

Results of univariate Cox regression.

*Observed time in the study was calculated as the time from the start of methadone treatment to either death or study completion (30 June 2010), whichever occurred first. PY: person-years, HR: hazard ratio, CI: 95% confidence interval. Average methadone dose is calculated as the sum of all methadone doses divided by the number of days methadone was received. Length of treatment is calculated as the total number of days that clients took methadone in the MMT clinics, than transfer to the number of years by dividing 365. Urine tests positive for opiates during treatment is calculated by the total number of routine urine drug tests that yielded positive results as a percentage of the total number of tests taken during the six years of follow-up. Adjusting for confounding variables including living situation, injection in the past month, having relatives who were MMT patients. Results of univariate Cox regression.

Discussion

The purpose of this study was to test the hypothesis that mortality among China's MMT clients is high, but that longer MMT program retention is associated with improved survival. Therefore, we conducted a prospective cohort study among 1,511 DUs enrolled in China's national MMT program during its first nine months of operation at its original eight clinics, examining mortality and its associated factors over six years of follow-up. We indeed found that the overall mortality rate of MMT clients in China was high, 28.6 per 1,000 PY, much greater than that found in Taiwan [17], Israel [18], and Australia [23]. Leading causes of death identified in this study were similar to those described in previous studies [24]–[25]. Likewise, our observation that males are at greater risk of death has also already been well-documented in the literature [26]–[27]. However, the main finding of our study was that clients who receive methadone treatment over extended periods and HIV-positive clients who receive ART both experienced improved survival in this setting. In a 15-year follow-up study in Israel, a lower mortality rate was observed among DUs who stayed in MMT at least one year, compared with those who quit within one year [25]. In another study, no deaths were observed within 4 years of follow-up among subjects were enrolled in MMT. However, 17 subjects who discontinued MMT during the four year study died, representing an untreated mortality rate of 20 per 1,000 PY [23]. These are just two of the many studies that have documented improved outcomes, including survival, among DUs around the world who are retained for long periods in MMT programs. Our results support these findings and show a dramatic effect of longer-term MMT participation on mortality rates, 8.2 per 1,000 PY for four or more years in treatment and 21.7 per 1,000 PY for two to 3 years in treatment, compared to 81.1 per 1,000 PY for one year of treatment or less. While China's MMT program has scaled-up quickly and coverage has significantly improved in recent years, client retention remains a problem. Drop-out rates of greater than 50% program-wide were reported in 2007 [9], and again in 2010 [10]. Reasons for low retention have been speculated to be overall low methadone doses, clinic accessibility, treatment interruption caused by incarceration, lack of psychosocial support within MMT clinics, concurrent drug use, and misconceptions of clients and providers about methadone treatment goals [28]–[29]. One recent study documents nearly half of MMT clients actively engaging in concurrent opiate use, the risk of which increased as treatment duration increased [12]. Additionally, in two related studies in Guangzhou, drop-out rates were again reported to be greater than 50% in 2012, and misconceptions about methadone treatment were found to predict both drop-out and poor adherence. In these studies, the majority of clients believed that MMT was a detoxification program that could be completed in two to three months and any longer-term methadone use would be harmful [28]–[29]. Some studies have found low methadone doses to be associated with higher mortality of MMT clients [19]. In this study, we identify a statistically significant association between higher methadone dose (>60 mg/day) and mortality. A majority of deaths observed in this study were among patients receiving average doses of 60 mg/day or less (129 of 154 deaths). Low methadone dose has been associated with high drop-out rates in other countries and has been speculated to be the root cause of low retention in China as well [30]. Thus, it could be that low methadone dose affects MMT retention in our sample, perhaps thereby indirectly affecting mortality. However, further studies on this issue are needed as methadone dosing practices are a very complex issue in China with provider and patient-level barriers to increased doses as well as long-term treatment [30]. We found not only that HIV-positive subjects had a higher risk of death than HIV-negative subjects in our cohort, but also that HIV-positive subjects not receiving ART had an even higher mortality rate. Although there is evidence that MMT program prevents new HIV infections and reduces HIV/AIDS-related deaths worldwide [31]–[34], and although China's National Free ART Program offers ART services free of charge to all HIV-positive citizens [35], China's HIV-positive DUs are known to have the lowest the treatment coverage and poorest outcomes, compared to all other high-risk groups [36]. Barriers to treatment at the patient level include perceptions of intolerable side effects or inability to adhere to prescribed ART regimens, comorbid psychiatric illness, addiction-related instability, and lack of health insurance. Among providers, lack of skills and experience treating co-existing drug addiction and HIV-infection is common and stigma associated with drug users and HIV-positive individuals is still very prominent [37]. Because HIV-positive MMT clients are regularly in contact with the health system for daily administration of methadone, MMT clinics offer a unique opportunity to improve ART coverage and adherence and thereby reduce mortality rates among this high-risk population. Therefore, we propose development of a “one-stop shop” model for delivery of integrated MMT and ART services for HIV-positive drug users in China. An emerging body of research in other countries has demonstrated that MMT clinic-based ART service is an effective strategy to promote treatment initiation and adherence, and at the same time enhance clinical outcome for HIV-positive DUs [38]–[43]. In the US, findings from a 12-month follow-up study indicate that HIV viral loads of <400 copies/mL were achieved by 56% of patients receiving integrated MMT and ART services [44]. While, this integrated model must be tested via controlled clinical trials, and improving outcomes for HIV-positive DUs will also require ongoing counseling on high-risk behaviors and the importance of therapy adherence, it appears that moving in the direction of this integrated model has great potential for saving lives and improving quality of life. This study has several limitations. Most importantly, because this is an observational study, no conclusions about causality can be made. In addition, although our multivariate analyses adjusted for the key behavioral predictors of mortality, there may have been other unmeasured confounders that were not controlled. Much of the data on socio-demographics and drug use history are self-reported by drug users upon entry into the MMT program. Therefore, exposures may be under- or overestimated due to social desirability or recall bias. Similarly, missing data resulting from refusal of clients to answer more sensitive questions (i.e., whether they have committed a crime in the past month) may also contribute to under- or overestimation of exposures. Finally, there were 17.3% (261) clients who lost to follow-up during the study period. It's not able for us to identify deaths among individuals lost to follow-up, which could lead to the mortality rates reported either underestimated or overestimated. The lost to follow-up would bias the study result to the opposite direction if individuals were lost because they were likely to be employed, HIV negative, and less frequent drug use per day. In addition, this study is based on the national MMT program for which it is very difficult to separate the study from the program. One issue of ethics concerns of subjects who have little or no other opportunity to access methadone but for participation in research studies like this one. At the design of pilot national MMT program in China, it is considered that timely evaluation of MMT program would provide critical information for Chinese government to consider scale-up MMT program and the data collected in the initial pilot project phase did served the purpose. Since then, clients apply for MMT program voluntarily give their consents that after removing their personal identifications their data can be used for collectively data analysis for study purposes. This does not create any harm to any individual who participate in MMT program but gives them opportunity for making contribution to sciences as well as to society. In summary, specific interventions aimed at decreasing mortality rates among China's MMT clients are needed. The results of our study support development and implementation of interventions that will increase retention of DUs in MMT and expand coverage of ART for HIV-positive DUs. Evidence from this and other studies call for integration of MMT and ART services into a “one-stop-shop” model, so that DUs can access and engage in the care they need earlier and more consistently, thereby extending and improving the quality of their lives.
  41 in total

1.  Who uses methadone services in China? Monitoring the world's largest methadone programme.

Authors:  Sheena G Sullivan; Zunyou Wu; Keming Rou; Lin Pang; Wei Luo; Changhe Wang; Xiaobin Cao; Wenyuan Yin; Enwu Liu; Guodong Mi
Journal:  Addiction       Date:  2015-01       Impact factor: 6.526

2.  Methadone maintenance therapy promotes initiation of antiretroviral therapy among injection drug users.

Authors:  Sasha Uhlmann; M-J Milloy; Thomas Kerr; Ruth Zhang; Silvia Guillemi; David Marsh; Robert S Hogg; Julio S G Montaner; Evan Wood
Journal:  Addiction       Date:  2010-03-10       Impact factor: 6.526

3.  Effectiveness of first eight methadone maintenance treatment clinics in China.

Authors:  Lin Pang; Yang Hao; Guodong Mi; Changhe Wang; Wei Luo; Keming Rou; Jianhua Li; Zunyou Wu
Journal:  AIDS       Date:  2007-12       Impact factor: 4.177

4.  Effect of earlier initiation of antiretroviral treatment and increased treatment coverage on HIV-related mortality in China: a national observational cohort study.

Authors:  Fujie Zhang; Zhihui Dou; Ye Ma; Yao Zhang; Yan Zhao; Decai Zhao; Shuntai Zhou; Marc Bulterys; Hao Zhu; Ray Y Chen
Journal:  Lancet Infect Dis       Date:  2011-07       Impact factor: 25.071

5.  A qualitative study exploring the reason for low dosage of methadone prescribed in the MMT clinics in China.

Authors:  Chunqing Lin; Roger Detels
Journal:  Drug Alcohol Depend       Date:  2011-02-09       Impact factor: 4.492

6.  Mortality and causes of death among users of methadone maintenance treatment in Israel, 1999-2008.

Authors:  Paula Rosca; Ziona Haklai; Nehama Goldberger; Peres Zohar; Anatoly Margolis; Alexander M Ponizovsky
Journal:  Drug Alcohol Depend       Date:  2012-04-07       Impact factor: 4.492

7.  Drug-related mortality and fatal overdose risk: pilot cohort study of heroin users recruited from specialist drug treatment sites in London.

Authors:  Matthew Hickman; Zenobia Carnwath; Peter Madden; Michael Farrell; Cleone Rooney; Richard Ashcroft; Ali Judd; Gerry Stimson
Journal:  J Urban Health       Date:  2003-06       Impact factor: 3.671

8.  Changing baseline characteristics among patients in the China National Free Antiretroviral Treatment Program, 2002-09.

Authors:  Zhihui Dou; Ray Y Chen; Jiahong Xu; Ye Ma; Jin Hua Jiao; Stephen Durako; Yan Zhao; Decai Zhao; Hua Fang; Fujie Zhang
Journal:  Int J Epidemiol       Date:  2010-12       Impact factor: 7.196

9.  The Chinese free antiretroviral treatment program: challenges and responses.

Authors:  Fujie Zhang; Jessica E Haberer; Yu Wang; Yan Zhao; Ye Ma; Decai Zhao; Lan Yu; Eric P Goosby
Journal:  AIDS       Date:  2007-12       Impact factor: 4.177

10.  Exposure to opioid maintenance treatment reduces long-term mortality.

Authors:  Amy Gibson; Louisa Degenhardt; Richard P Mattick; Robert Ali; Jason White; Susannah O'Brien
Journal:  Addiction       Date:  2008-01-08       Impact factor: 6.526

View more
  10 in total

1.  Drugs, discipline and death: Causes and predictors of mortality among people who inject drugs in Tijuana, 2011-2018.

Authors:  Brooke S West; Daniela A Abramovitz; Patricia Gonzalez-Zuniga; Gudelia Rangel; Dan Werb; Javier Cepeda; Leo Beletsky; Steffanie A Strathdee
Journal:  Int J Drug Policy       Date:  2019-11-24

2.  An intervention trial targeting methadone maintenance treatment providers to improve clients' treatment retention in China.

Authors:  Li Li; Zunyou Wu; Li-Jung Liang; Chunqing Lin; Sitong Luo; Xiaobin Cao; Julie Hsieh; Keming Rou
Journal:  Drug Alcohol Depend       Date:  2018-10-25       Impact factor: 4.492

3.  Integrating antiretroviral therapy in methadone maintenance therapy clinics: service provider perceptions.

Authors:  Chunqing Lin; Xiaobin Cao; Li Li
Journal:  Int J Drug Policy       Date:  2014-05-10

4.  The impact of chronic pain on opioid addiction treatment: a systematic review protocol.

Authors:  Brittany B Dennis; Monica Bawor; James Paul; Michael Varenbut; Jeff Daiter; Carolyn Plater; Guillaume Pare; David C Marsh; Andrew Worster; Dipika Desai; Lehana Thabane; Zainab Samaan
Journal:  Syst Rev       Date:  2015-04-16

5.  Illicit Heroin and Methamphetamine Use among Methadone Maintenance Treatment Patients in Dehong Prefecture of Yunnan Province, China.

Authors:  Rongrong Wang; Yingying Ding; Hongling Bai; Song Duan; Runhua Ye; Yuecheng Yang; Jibao Wang; Renhai Tang; Meiyang Gao; Na He
Journal:  PLoS One       Date:  2015-07-21       Impact factor: 3.240

6.  Trends and risk factors for HIV, HCV and syphilis seroconversion among drug users in a methadone maintenance treatment programme in China: a 7-year retrospective cohort study.

Authors:  Xia Zou; Li Ling; Lei Zhang
Journal:  BMJ Open       Date:  2015-08-21       Impact factor: 2.692

7.  Evaluation of clinical and inflammatory profile in opioid addiction patients with comorbid pain: results from a multicenter investigation.

Authors:  Brittany B Dennis; M Constantine Samaan; Monica Bawor; James Paul; Carolyn Plater; Guillaume Pare; Andrew Worster; Michael Varenbut; Jeff Daiter; David C Marsh; Dipika Desai; Lehana Thabane; Zainab Samaan
Journal:  Neuropsychiatr Dis Treat       Date:  2014-11-19       Impact factor: 2.570

8.  A Prospective Study to Investigate Predictors of Relapse among Patients with Opioid Use Disorder Treated with Methadone.

Authors:  Leen Naji; Brittany B Dennis; Monica Bawor; Carolyn Plater; Guillaume Pare; Andrew Worster; Michael Varenbut; Jeff Daiter; David C Marsh; Dipika Desai; Lehana Thabane; Zainab Samaan
Journal:  Subst Abuse       Date:  2016-04-10

9.  Job Satisfaction Among Methadone Maintenance Treatment Clinic Service Providers in Jiangsu, China: A Cross-sectional Survey.

Authors:  Guohong Chen; Chunqing Lin; Yuheng Chen; Li Li; Sitong Luo; Xiaoyan Liu; Xiping Huan; Xiaobin Cao; Jennifer M McGoogan; Zunyou Wu
Journal:  J Addict Med       Date:  2020 Jan/Feb       Impact factor: 4.647

10.  Factors associated with opioid overdose during medication-assisted treatment: How can we identify individuals at risk?

Authors:  Vivian Y O Au; Tea Rosic; Nitika Sanger; Alannah Hillmer; Caroul Chawar; Andrew Worster; David C Marsh; Lehana Thabane; Zainab Samaan
Journal:  Harm Reduct J       Date:  2021-07-08
  10 in total

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