METHODS: TW (N = 199) in Greater Kuala Lumpur completed a survey on healthcare access and utilization, including HIV testing history. Bivariate logistic regression and penalized multivariate logistic regression were used to explore correlates of HIV testing in the last 12 months.
RESULTS: Overall, 41.7% of TW reported having ever been tested for HIV. Among participants who were HIV negative or not sure of their HIV status (n = 187), only 18.7% (n = 35) had been tested for HIV in the last 12 months. The multivariate analysis indicated that having a primary care provider (PCP), being 26-40 years of age, and having higher mental health functioning were positively associated with recent HIV testing. Active amphetamine use and previous depression diagnosis were also associated with recent HIV testing.
CONCLUSION: HIV testing is the first step in linking individuals to prevention and treatment interventions. Our findings suggest that having a PCP can improve engagement in HIV testing. Moreover, PCPs can serve as a valuable link to HIV treatment and prevention services. Current interventions that target social and behavioral risk factors for HIV, on their own, may be insufficient at engaging all HIV-vulnerable TW.
METHODS: To create a retrospective cohort of all adults with HIV released from jails and prisons in Connecticut, USA (2007-14), we linked administrative custody and pharmacy databases with mandatory HIV/AIDS surveillance monitoring and case management data. We examined time to LTC (defined as first viral load measurement after release) and viral suppression at LTC. We used generalised estimating equations to show predictors of LTC within 14 days and 30 days of release.
FINDINGS: Among 3302 incarceration periods for 1350 individuals between 2007 and 2014, 672 (21%) of 3181 periods had LTC within 14 days of release, 1042 (34%) of 3064 had LTC within 30 days of release, and 301 (29%) of 1042 had detectable viral loads at LTC. Factors positively associated with LTC within 14 days of release are intermediate (31-364 days) incarceration duration (adjusted odds ratio 1·52; 95% CI 1·19-1·95), and transitional case management (1·65; 1·36-1·99), receipt of antiretroviral therapy during incarceration (1·39; 1·11-1·74), and two or more medical comorbidities (1·86; 1·48-2·36). Reincarceration (0·70; 0·56-0·88) and conditional release (0·62; 0·50-0·78) were negatively associated with LTC within 14 days. Hispanic ethnicity, bonded release, and psychiatric comorbidity were also associated with LTC within 30 days but reincarceration was not.
INTERPRETATION: LTC after release is suboptimal but improves when inmates' medical, psychiatric, and case management needs are identified and addressed before release. People who are rapidly cycling through jail facilities are particularly vulnerable to missed linkage opportunities. The use of integrated programmes to align justice and health-care goals has great potential to improve long-term HIV treatment outcomes.
FUNDING: US National Institutes of Health.
Materials and Methods: Randomly selected HIV-infected male prisoners (n=102) from two prisons in Jakarta, Indonesia completed surveys in prison and were followed up for 2 years (until study completion) or until they died or were lost to follow-up. Death dates were determined from medical records and interviews with immediate family members. Kaplan-Meier and Cox proportional hazards regression models were analyzed to identify mortality predictors.
Results: During 103 person-years (PYs) of follow-up, 15 deaths occurred, including ten in prison. The crude mortality rate within prison (125.2 deaths per 1,000 PYs) was surpassed by the crude mortality rate in released prisoners (215.7 deaths per 1,000 PYs). HIV-associated opportunistic infections were the most common probable cause of death. Predictors of within-prison and overall mortality were similar. Shorter survival overall was associated with being incarcerated within a specialized "narcotic" prison for drug offenders (hazard ratio [HR] 9.2, 95% confidence interval [CI] 1.1-76.5; P=0.03), longer incarceration (HR 1.06, 95% CI 1.01-1.1; P=0.01), and advanced HIV infection (CD4+ T-cell count<200cells/μL; HR 4.8, 95% CI 1.2-18.2; P=0.02). Addiction treatment was associated with longer survival (HR 0.1, 95% CI 0.01-0.9; P=0.03), although treatment with antiretroviral therapy (ART) or methadone was not.
Conclusions: Mortality in HIV-infected prisoners is extremely high in Indonesia, despite limited provision of ART in prisons. Interventions to restore immune function with ART and provide prophylaxis for opportunistic infections during incarceration and after release would likely reduce mortality. Narcotics prisons may be especially high-risk environments for mortality, emphasizing the need for universal access to evidence-based HIV treatments.
METHOD: We developed a conjoint analysis survey evaluating patients' preferences for FDA-approved MOUDs. We recruited patients with OUD presenting to initiate treatment. This survey included five attributes: induction, location and route of administration, impact on mortality, side effects, and withdrawal symptoms with cessation. Participants performed 12 choice sets, each with two hypothetical profiles and a "none" option. We used Hierarchical Bayes to identify relative importance of each attribute and part-worth utility scores of levels, which we compared using chi-squared analysis. We used the STROBE checklist to guide our reporting of this cross-sectional observational study.
RESULTS: Five-hundred and thirty participants completed the study. Location with route of administration was the most important attribute. Symptom relief during induction and withdrawal was a second priority. Mortality followed by side effects had lowest relative importance. Attribute levels with highest part-worth utilities showed patients preferred monthly pick-up from a pharmacy rather than daily supervised dosing; and oral medications more than injection/implants, despite the latter's infrequency.
CONCLUSION: We measured treatment preferences among patients seeking to initiate OUD treatment to inform strategies to scale MOUD treatment uptake. Patients prioritize the route of administration in treatment preference-less frequent pick up, but also injections and implants were less preferred despite their convenience. Second, patients prioritize symptom relief during the induction and withdrawal procedures of medication. These transition periods influence the sustainability of treatment. Although health professionals prioritize mortality, it did not drive decision-making for patients. To our knowledge, this is the largest study on patients' preferences for MOUD among treatment-seeking people with OUD to date. Future analysis will evaluate patient preference heterogeneity to further target program planning, counseling, and decision aid development.
DESIGN, SETTING AND PARTICIPANTS: Ten-year horizon (2016-25) modeling study of opioid addiction epidemic and treatment that accommodated potential peer effects in opioid use initiation and supply-induced treatment demand in three Ukrainian cities: Kyiv, Mykolaiv and Lviv, comprising a simulated population of people at risk of and with OUD.
MEASUREMENTS: Incremental cost per quality-adjusted life-year gained in the simulated population.
FINDINGS: An estimated 12.2-, 2.4- and 13.4-fold OAT capacity increase over 2016 baseline capacity in Kyiv, Mykolaiv and Lviv, respectively, would be cost-effective at a willingness-to-pay of one per-capita gross domestic product (GDP) per quality-adjusted life-year gained. This result is robust to parametric and structural uncertainty. Even under the most ambitious capacity increase, OAT coverage (i.e. the proportion of people with OUD receiving OAT) over a 10-year modeling horizon would be 20, 11 and 17% in Kyiv, Mykolaiv and Lviv, respectively, owing to limited demand.
CONCLUSIONS: It is estimated that a substantial increase in opioid agonist treatment (OAT) capacity in three Ukrainian cities would be cost-effective for a wide range of willingness-to-pay thresholds. Even a very ambitious capacity increase, however, is unlikely to reach internationally recommended coverage levels. Further increases in coverage may be limited by demand and would require addressing existing structural barriers to OAT access.
METHODS: Opioid dependent PWID were interviewed and tested for HIV and HCV in five Ukrainian cities from January 2014 to March 2015. Logistic regression was used to examine the independent correlates of two cascade steps: a) anti-HCV positive status awareness; b) chronic HCV confirmation; and of c) annual HCV testing for PWID.
RESULTS: Among 1613 PWID, 1002 (62.1%) had anti-HCV positive test result, of which 568 (56.7%) were aware of it before the study and 346 (34.5%) reported previous confirmatory testing for chronic HCV. Independent correlates of being aware they had anti-HCV positivity included: current [AOR: 3.08; 95%CI: 2.16-4.40] or prior [AOR: 1.85; 95%CI: 1.27-2.68] opioid agonistic treatment (OAT) experience, relative to no prior OAT, living in Lviv [AOR: 0.50; 95%CI: 0.31-0.81] or Odesa [AOR: 2.73; 95%CI: 1.51-4.93] relative to Kyiv and being aware of having HIV [AOR: 4.10; 95%CI: 2.99-5.62]. Independent correlates of confirming HCV infection among those who were aware of their anti-HCV positive status included: current OAT [AOR: 2.00; 95%CI: 1.24-3.23], relative to prior OAT, the middle income category [AOR: 1.74, 95%CI: 1.15-2.63], relative to the lowest, and receiving ART [AOR: 4.54; 95%CI: 2.85-7.23]. Among 1613 PWID, 918 (56.9%) were either HCV negative or not aware of their HCV positive status, of which 198 (21.6%) reported recent anti-HCV test (during last 12 month). Recent anti-HCV test in this group was associated with current [AOR: 7.17; 95%CI: 4.63-11.13] or prior [AOR: 2.24; 95%CI: 1.32-3.81] OAT experience, relative to no prior OAT.
CONCLUSION: Encouraging PWID to participate in OAT may be an effective strategy to diagnose and link PWID who are HCV positive to care. Among HIV negative participants, regular HCV testing may be ensured by participation in OAT. More studies are needed to assess HCV treatment utilization among PWID in Ukraine and OAT as a possible way to retain them in treatment.
METHODS: In June 2007, 102 HIV-infected male prisoners within 6 months of community-release were anonymously surveyed in Kota Bharu, Malaysia.
RESULTS: Nearly all subjects (95%) met criteria for opioid dependence. Overall, 66% of participants reported sharing needles, and 37% reported unprotected sex in the 30 days prior to incarceration. During this period, 77% reported injection drug use, with 71% injecting daily and 65% injecting more than one substance. Injection of buprenorphine (28%), benzodiazepines (28%) and methamphetamines (49%) was reported. Nearly all (97%) of those reporting unprotected sex did so with someone not known to be HIV-infected. While 51% believed that opioid substitution therapy (OST) would be helpful, only 33% believed they needed it to prevent relapse after prison release. Most participants (70%) expressed interest in learning more about OST. Those reporting the highest injection risks were more likely to believe OST would be helpful (p<0.05), to believe that it was needed to prevent relapse post-release (p<0.05), and to express interest in learning more about OST (p<0.01).
CONCLUSIONS: Secondary HIV prevention among prisoners in Malaysia is crucial to reduce community HIV transmission after release. Effectively reducing HIV risk associated with opioid injection will require OST expansion, including social marketing to improve its acceptability and careful monitoring. Access to sterile injection equipment, particularly for non-opioid injectors, and behavioral interventions that reduce sexual risk will also be required.