| Literature DB >> 21999778 |
Richard Hayes1, Kalpana Sabapathy, Sarah Fidler.
Abstract
Achieving high coverage of antiretroviral treatment (ART) in resource-poor settings will become increasingly difficult unless HIV incidence can be reduced substantially. Universal voluntary counselling and testing followed by immediate initiation of ART for all those diagnosed HIV-positive (universal testing and treatment, UTT) has the potential to reduce HIV incidence dramatically but would be very challenging and costly to deliver in the short term. Early modelling work in this field has been criticised for making unduly optimistic assumptions about the uptake and coverage of interventions. In future work, it is important that model parameters are realistic and based where possible on empirical data. Rigorous research evidence is needed before the UTT approach could be considered for wide-scale implementation. This paper reviews the main areas that need to be explored. We consider in turn research questions related to the provision of services for universal testing, services for immediate treatment of HIV-positives and the population-level impact of UTT, and the research methods that could be used to address these questions. Ideally, initial feasibility studies should be carried out to investigate the acceptability, feasibility and uptake of UTT services. If these studies produce promising results, there would be a strong case for a cluster-randomised trial to measure the impact of a UTT intervention on HIV incidence, and we consider the main design features of such a trial.Entities:
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Year: 2011 PMID: 21999778 PMCID: PMC3520051 DOI: 10.2174/157016211798038515
Source DB: PubMed Journal: Curr HIV Res ISSN: 1570-162X Impact factor: 1.581
Key Research Questions Related to Counselling and Testing in Universal Testing and Treatment (UTT) and Suggested Research Methods
| Key Research Areas | Questions to be Answered | Randomised Controlled trials | Observational Studies | Qualitative/Mixed Methods Research | Modelling | Cost Studies |
|---|---|---|---|---|---|---|
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Where should VCT services be provided? Who should deliver VCT? What is the added role of self-testing? What is the role of expanded PIT in medical settings? | √ | √ | (√) | |||
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What beliefs and perceptions need to be understood to appropriately target promotion of UTT in a given community? | √ | √ | ||||
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Which subsets of the population are captured by different modes of promotion? What modes of promotion are most effective in achieving uptake of testing? | √ | √ | √ | |||
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What is the predictive value of POCT in the context of UTT for a given population prevalence of HIV? | √ | |||||
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What frequency of testing (and treatment) is needed to reduce the R0 of HIV to <1? | √ | |||||
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What is the evidence on the effectiveness of pre-test counselling approaches? | √ | √ | √ | |||
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How does post-test counselling affect behaviour change, HIV incidence and repeat testing? | √ | √ | ||||
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How does group pre-test with individual post-test counselling compare with individual pre and post-test counselling? | √ | √ | √ | |||
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What are the barriers to testing? What aspects of service provision ameliorate identified barriers? | √ | |||||
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What proportion of a given community has participated in VCT and repeat testing? What factors are associated with non-uptake and failure to re-test? | √ | |||||
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What are the training, staffing, equipment and site costs? | √ | √ | √ |
UTT, Universal Testing and Treatment; VCT, Voluntary Counselling and Testing; PIT, Provider-Initiated Testing; POCT, Point-of-care Testin
Key Questions Related to Treatment in Universal Testing and Treatment (UTT) and Suggested Research Methods
| Key Research Areas | Questions to be Answered | Randomised Controlled Trials | Observational Studies | Qualitative /Mixed Methods Research | Modelling | Cost Studies |
|---|---|---|---|---|---|---|
How well does a given VCT model achieve linkage with treatment? What factors act as barriers to uptake of treatment after testing positive? What programmatic factors are associated with better linkage between testing and treatment initiation? | √ | √ | √ | |||
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Which models of treatment provision are most effective and acceptable? Where should treatment be provided? Who should deliver these treatment services? | √ | √ | √ | |||
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Which treatment regimens are safe, effective and acceptable to use as first-line treatment? | √ | √ | (√) | |||
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Which treatment regimens are feasible and sustainable for use in resource-limited settings? | √ | √ | √ | |||
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Which treatment regimens are associated with ART failure and drug resistance at different time points? | √ | √ | ||||
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What are the monitoring requirements of a given treatment regimen? | √ | √ | ||||
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Are there different monitoring requirements for patients who were sick when they started treatment compared with those who were well? | √ | √ | √ | |||
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What are the evolving challenges in maintaining follow-up over time? | √ | √ | ||||
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What patient factors are associated with good adherence (>90%) at different time points on treatment? | √ | √ | ||||
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What programmatic factors are associated with good adherence at different time points on treatment? | √ | √ | ||||
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What proportion of HIV-infected individuals in a population are on treatment at different time points? | √ | |||||
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What is the impact of a given proportion on treatment on HIV transmission? | √ | |||||
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What is the impact of UTT on health services in a given location? | √ | √ | √ | √ | ||
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What are the cost implications (financial and human resources) of UTT over time, including costs averted? | √ | √ | √ |
Key Questions Related to Population-Level Effects of Universal Testing and Treatment (UTT) and Suggested Research Methods
| Key Research Areas | Questions to be Answered | Randomised Controlled Trials | Observational Studies | Qualitative/Mixed Methods Research | Modelling | Cost Studies |
|---|---|---|---|---|---|---|
What are the effects of ART on genital shedding of HIV? What are the effects of ART and different levels of genital HIV shedding on risk of transmission to sexual partners? What are the effects of ART on HIV transmissibility in the presence of concomitant sexually transmitted infections? | √ | √ | (√) | |||
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What proportions of new HIV infections are attributable to index cases at different CD4 counts and HIV clinical stages? | √ | √ | ||||
What is the impact of UTT on population-level HIV incidence at different time points? How does the impact of UTT on HIV incidence depend on key process variables such as uptake of testing and treatment, adherence and retention? | √ | (√) | √ | |||
What are the effects of UTT on HIV-related morbidity and mortality? What are the effects of UTT on the incidence and prevalence of TB and other opportunistic infections? What are the effects of UTT on vertical transmission of HIV? What are the effects of UTT on the incidence of treatment failure, toxicity and drug resistance? Is delivery of UTT associated with behavioural disinhibition? | √ | (√) | √ | √ | ||
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What are the total What cost savings are provided by reductions in HIV incidence and HIV-related morbidity? What is the overall cost-effectiveness of UTT expressed per HIV infection averted or per DALY? How do the effectiveness and cost-effectiveness of UTT compare with those of more limited treatment programmes? | √ | (√) | √ | √ |
UTT, Universal Testing and Treatment; ART, Antiretroviral Therapy; TB, Tuberculosis; DALY, Disability-adjusted Life Year.
Sample Size Requirements for Cluster Randomised Trial of Universal Testing and Treatment (UTT) for HIV Prevention. Table Shows Number of Clusters Required in Each Study Arm Under a Range of Scenarios
| HIV Incidence in Control Arm (/100py) | Sample Size of Cohort Per Cluster | Coefficient of Variation | Impact on HIV Incidence (1 - RR) x 100% | Power | Clusters Required Per Study Arm |
|---|---|---|---|---|---|
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| 1000 | 0.25 | 40% | 90% |
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| 1000 | 0.25 | 40% | 90% |
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| 1000 | 0.25 | 40% | 90% |
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| 1000 | 0.25 | 40% | 90% |
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| 1.0 | 0.25 | 40% | 90% |
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| 1.0 | 0.25 | 40% | 90% |
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| 1.0 | 0.25 | 40% | 90% |
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| 1.0 | 1000 | 40% | 90% |
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| 1.0 | 1000 | 40% | 90% |
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| 1.0 | 1000 | 40% | 90% |
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| 1.0 | 1000 | 0.25 | 90% |
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| 1.0 | 1000 | 0.25 | 90% |
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| 1.0 | 1000 | 0.25 | 90% |
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| 1.0 | 1000 | 0.25 | 40% |
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| 1.0 | 1000 | 0.25 | 40% |
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Assumes cohort is followed up for 3 years with 15% loss of person-years of follow-up.
Top row shows default scenario discussed in text. Suppose HIV incidence in adults is approximately 1 per 100 person-years in control communities, we wish to detect a 40% reduction in HIV incidence with 90% power and the coefficient of variation is 0.25 indicating that HIV incidence varies roughly between 0.5 and 1.5 per 100 person-years in the control arm. Then if we select a random sample of 1000 adults in each cluster and follow them up for 3 years giving 2550 person-years of observation per cluster (assuming 15% loss of person-years), we would need 11 clusters per arm (a total of 22 clusters) with an unmatched design.
UTT, Universal Testing and Treatment; py, person-years; RR, relative risk.