12 research outputs found
Relapse to opioid use in opioid-dependent individuals released from compulsory drug detention centres compared with those from voluntary methadone treatment centres in Malaysia: a two-arm, prospective observational study
Background Detention of people who use drugs into compulsory drug detention centres (CDDCs) is common
throughout East and Southeast Asia. Evidence-based pharmacological therapies for treating substance use disorders,
such as opioid agonist treatments with methadone, are generally unavailable in these settings. We used a unique
opportunity where CDDCs coexisted with voluntary drug treatment centres (VTCs) providing methadone in Malaysia
to compare the timing and occurrence of opioid relapse (measured using urine drug testing) in individuals
transitioning from CDDCs versus methadone maintenance in VTCs.
Methods We did a parallel, two-arm, prospective observational study of opioid-dependent individuals aged 18 years and
older who were treated in Malaysia in the Klang Valley in two settings: CDDCs and VTCs. We used sequential sampling
to recruit individuals. Assessed individuals in CDDCs were required to participate in services such as counselling
sessions and manual labour. Assessed individuals in VTCs could voluntarily access many of the components available
in CDDCs, in addition to methadone therapy. We undertook urinary drug tests and behavioural interviews to assess
individuals at baseline and at 1, 3, 6, 9, and 12 months post-release. The primary outcome was time to opioid relapse
post-release in the community confi rmed by urinary drug testing in individuals who had undergone baseline
interviewing and at least one urine drug test (our analytic sample). Relapse rates between the groups were compared
using time-to-event methods. This study is registered at ClinicalTrials.gov (NCT02698098).
Findings Between July 17, 2012, and August 21, 2014, we screened 168 CDDC attendees and 113 VTC inpatients; of
these, 89 from CDDCs and 95 from VTCs were included in our analytic sample. The baseline characteristics of the two
groups were similar. In unadjusted analyses, CDDC participants had signifi cantly more rapid relapse to opioid use
post-release compared with VTC participants (median time to relapse 31 days [IQR 26–32] vs 352 days [256–unestimable],
log rank test, p<0·0001). VTC participants had an 84% (95% CI 75–90) decreased risk of opioid relapse after adjustment
for control variables and inverse propensity of treatment weights. Time-varying eff ect modelling revealed the largest
hazard ratio reduction, at 91% (95% CI 83–96), occurs during the fi rst 50 days in the community.
Interpretation Opioid-dependent individuals in CDDCs are signifi cantly more likely to relapse to opioid use after
release, and sooner, than those treated with evidence-based treatments such as methadone, suggesting that CDDCs
have no role in the treatment of opioid-use disorders
Getting it right when budgets are tight: Using optimal expansion pathways to prioritize responses to concentrated and mixed HIV epidemics
Published: October 3, 2017Background: Prioritizing investments across health interventions is complicated by the nonlinear relationship between intervention coverage and epidemiological outcomes. It can be difficult for countries to know which interventions to prioritize for greatest epidemiological impact, particularly when budgets are uncertain. Methods: We examined four case studies of HIV epidemics in diverse settings, each with different characteristics. These case studies were based on public data available for Belarus, Peru, Togo, and Myanmar. The Optima HIV model and software package was used to estimate the optimal distribution of resources across interventions associated with a range of budget envelopes. We constructed “investment staircases”, a useful tool for understanding investment priorities. These were used to estimate the best attainable cost-effectiveness of the response at each investment level. Findings: We find that when budgets are very limited, the optimal HIV response consists of a smaller number of ‘core’ interventions. As budgets increase, those core interventions should first be scaled up, and then new interventions introduced. We estimate that the cost-effectiveness of HIV programming decreases as investment levels increase, but that the overall cost-effectiveness remains below GDP per capita. Significance: It is important for HIV programming to respond effectively to the overall level of funding availability. The analytic tools presented here can help to guide program planners understand the most cost-effective HIV responses and plan for an uncertain future.Robyn M. Stuart, Cliff C. Kerr, Hassan Haghparast-Bidgoli, Janne Estill, Laura Grobicki, Zofia Baranczuk, Lorena Prieto, Vilma Montañez, Iyanoosh Reporter, Richard T. Gray, Jolene Skordis-Worrall, Olivia Keiser, Nejma Cheikh, Krittayawan Boonto, Sutayut Osornprasop, Fernando Lavadenz, Clemens J. Benedikt, Rowan Martin-Hughes, S. Azfar Hussain, Sherrie L. Kelly, David J. Kedziora, David P. Wilso
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Relapse to opioid use in opioid-dependent individuals released from compulsory drug detention centres compared with those from voluntary methadone treatment centres in Malaysia: a two-arm, prospective observational study
Background: Detention of people who use drugs into compulsory drug detention centres (CDDCs) is common throughout East and Southeast Asia. Evidence-based pharmacological therapies for treating substance use disorders, such as opioid agonist treatments with methadone, are generally unavailable in these settings. We used a unique opportunity where CDDCs coexisted with voluntary drug treatment centres (VTCs) providing methadone in Malaysia to compare the timing and occurrence of opioid relapse (measured using urine drug testing) in individuals transitioning from CDDCs versus methadone maintenance in VTCs.
Methods: We did a parallel, two-arm, prospective observational study of opioid-dependent individuals aged 18 years and older who were treated in Malaysia in the Klang Valley in two settings: CDDCs and VTCs. We used sequential sampling to recruit individuals. Assessed individuals in CDDCs were required to participate in services such as counselling sessions and manual labour. Assessed individuals in VTCs could voluntarily access many of the components available in CDDCs, in addition to methadone therapy. We undertook urinary drug tests and behavioural interviews to assess individuals at baseline and at 1, 3, 6, 9, and 12 months post-release. The primary outcome was time to opioid relapse post-release in the community confirmed by urinary drug testing in individuals who had undergone baseline interviewing and at least one urine drug test (our analytic sample). Relapse rates between the groups were compared using time-to-event methods. This study is registered at ClinicalTrials.gov (NCT02698098).
Findings: Between July 17, 2012, and August 21, 2014, we screened 168 CDDC attendees and 113 VTC inpatients; of these, 89 from CDDCs and 95 from VTCs were included in our analytic sample. The baseline characteristics of the two groups were similar. In unadjusted analyses, CDDC participants had significantly more rapid relapse to opioid use post-release compared with VTC participants (median time to relapse 31 days [IQR 26–32] vs 352 days [256–unestimable], log rank test, p<0·0001). VTC participants had an 84% (95% CI 75–90) decreased risk of opioid relapse after adjustment for control variables and inverse propensity of treatment weights. Time-varying effect modelling revealed the largest hazard ratio reduction, at 91% (95% CI 83–96), occurs during the first 50 days in the community.
Interpretation: Opioid-dependent individuals in CDDCs are significantly more likely to relapse to opioid use after release, and sooner, than those treated with evidence-based treatments such as methadone, suggesting that CDDCs have no role in the treatment of opioid-use disorders.
Funding: The World Bank Group, Doris Duke Charitable Foundation, National Institute on Drug Abuse, Australian National Health & Medical Research Council, National Institute of Mental Health, and the University of Malaya-Malaysian Ministry of Higher Education High Impact Research Grant
Investment staircase for Myanmar.
<p>Illustrates the relationship between total (optimized) investments in the HIV response (right panel), and the overall outcome in terms of cumulative DALYs from 2017–2030 of that response (left panel; black bars indicate interquartile ranges).</p
Investment staircase for Peru.
<p>Illustrates the relationship between total (optimized) investments in the HIV response (right panel), and the overall outcome in terms of cumulative DALYs from 2017–2030 of that response (left panel; black bars indicate interquartile ranges).</p
Investment staircase for Belarus.
<p>Illustrates the relationship between total (optimized) investments in the HIV response (right panel), and the overall outcome in terms of cumulative DALYs from 2017–2030 of that response (left panel; black bars indicate interquartile ranges).</p
Investment staircase for Togo.
<p>Illustrates the relationship between total (optimized) investments in the HIV response (right panel), and the overall outcome in terms of cumulative DALYs from 2017–2030 of that response (left panel; black bars indicate interquartile ranges).</p
Key characteristics of the HIV epidemic and response in Myanmar, Belarus, Togo and Peru.
<p>Acronyms used: PWID: people who inject drugs; FSW: female sex workers; MSM: men who have sex with men.</p