Articles tagged as "Belize"

How do we know which activities make a difference to HIV prevention?

Editor’s notes: In order to be fairly certain that an intervention is responsible for changes in HIV or HIV-related behaviours, the gold standard is randomization. This allows for fair comparisons between groups, since factors that might alter the outcomes will be more or less equally balanced between the study groups.  This is true whether such confounding factors are expected, but also importantly, even those factors that are unknown, unexpected and unmeasured will also be balanced between the arms. 

A second key determinant of high quality research is to use an approach that maximizes full engagement and follow-up of participants in the study.  One such approach that is widely recognized is to use Good Participatory Practice.  

Rhodes and colleagues study condom promotion and HIV testing among the Hispanic/Latino community of gay men and other men who have sex with men in North Carolina, USA.  Although gay men and other men who have sex with men represent approximately 4% of the adult male population in the United States of America, they account for more than 80% of new HIV infections among men.  Around one quarter of gay men and other men who have sex with men are Hispanic or Latino.  The authors therefore wanted to use research to make a difference to the HIV burden of the Hispanic/Latino gay men and other men who have sex with men community in North Carolina, USA.  They found that despite the impact of HIV on Hispanic/ Latino gay men and other men who have sex with men, they were only able to identify one evidence-based behavioural HIV prevention programme focussed on this population.

The authors used an extensive community based participatory research partnership, whose members represented the Hispanic/ Latino gay men and other men who have sex with men community, AIDS service organizations, Hispanic/Latino-serving community organizations, and universities to develop, implement, and evaluate a Spanish-language, small group intervention designed to increase condom use and HIV testing among Hispanic/Latino gay men and other men who have sex with men (HOLA en Grupos).

304 participants were randomly allocated to the HOLA en Grupos intervention, or to a general health education comparison intervention having the same number of sessions (4) and duration (16 hours in total) that focussed on prostate, lung, and colorectal cancers; diabetes; high cholesterol; cardiovascular disease; and alcohol misuse. These topics for the control group were identified on the basis of identified needs and priorities of Hispanic/Latino gay men and other men who have sex with men.

HOLA en Grupos is grounded on social cognitive theory, empowerment education, and traditional Hispanic/Latino cultural values and includes four interactive modules of four hours each delivered in groups.  Participants in both intervention and control arms received reimbursement for their time, certificates of completion and meals and a celebration at the completion of the course.  In other words this was an intensive intervention that might be hard to replicate in most settings, but it follows very high standards both for developing and conducting the research and also for determining the impact of the intervention.

The intervention was associated with a large effect on both condom usage (four-fold higher in the intervention arm than the control) and HIV test uptake (an astonishing 14-fold higher, reflecting the relatively low testing rate in the control group).

A major limitation in many HIV prevention studies, including this one, is that the outcome is based on reported behaviour.  The challenge is that the real outcome of interest, which is new HIV infections, is relatively rare in almost all communities so that studies have to be huge and expensive, and the large majority of participants in both intervention and control arms do not in fact acquire HIV.  This is in contrast to most studies of treatment, where there are clearly defined biological, standardized measures which many or all participants are likely to reach.  Nonetheless, there are many examples of studies that find changes in reported behaviour that are not associated with biological markers of such change (such as incidence of HIV or other sexually transmitted infections, or pregnancy). 

There are also many observational or ecological studies that report changes in new HIV infections but that cannot truly say why the number of infections fell and whether the interventions used in the study were responsible for the changes.  For example Nwokolo and colleagues report in a short research letter on the dramatic decline in new HIV diagnoses in the large London clinic where they work.  New infections in that clinic, and in fact in other large clinics in London, have dropped by a remarkable 40% from 2015 to 2016, as originally reported in the popular science press before any scientific publication or presentation. The authors of the research letter are suitably cautious about how to account for the impressive decline.  Various systems have been improved over the past few years in this clinic to make it easier to have an HIV test and start treatment immediately.  However, most of the clinic team (and many other commentators) assume that it is also due to the rapid rise in the use of PrEP.  Although it is still not available through the UK National Health Service, the clinic has been at the forefront of encouraging gay men and other men who have sex with men who might benefit from PrEP to purchase it from on-line pharmacies.  The clinic then provides the appropriate monitoring and follow up to ensure that their clients get the best possible PrEP service given the current constraints.  Whatever the cause, we should be celebrating the rapid fall in new HIV infections across London, which is home to a substantial proportion of the new HIV infections in the UK.

The challenges of demonstrating evidence of effectiveness for HIV prevention is also felt among black women in the USA.  Although they have the highest burden of HIV among women in the USA, the incidence rates are such that a traditional randomized trial design would need to be huge, and consequently hugely expensive.  Adimora and colleagues consider whether an alternative trial design might be to use data from high HIV incidence settings and then to develop proxies of protection, such as the concentration of a PrEP medicine to infer whether black women are protected.  An alternative that has been proposed for men who have sex with men would be to look for other markers of high risk, such as sexually transmitted infections, reported partners, age, and substance use and estimate the likely risk of HIV acquisition in the absence of PrEP from these parameters.  Then the observed incidence could be compared to this modelled counterfactual, much as was done in the open label extension of the Partners PrEP study in Kenyan and Ugandan sero-different couples.  However, translating risk factors for infection across populations, and even continents when there is such heterogeneity in risk of infection is not at all straightforward.  So there is still plenty to think about and no clear answers yet!

A useful addition to the tool box for designing studies and assessing the effectiveness of interventions, would be better tools for measuring recent infection.  There are several assays all with differing characteristics but increasingly these differences and how they interact with different clades of HIV are becoming clear.  Key determinants for each assay are the mean duration of recent infection (MDRI) estimate (which does seem to vary by clade) and the false recency rate (FRR) which needs to be less than 2% to be considered useful.  Hargrove and colleagues used three different assays to test samples from 101 women who seroconverted during the ZVITAMBO trial.  The MDRI measured using standard cut-off points, were considerably shorter than those published for the general population.  The authors point out that changes in antibody properties among women who have recently given birth or other unspecified physiological states, mean that incidence assays may give different results from those published and expected.  Yet more caution when comparing incidence estimates between studies.  As an endpoint in a comparison between two groups in the same population, the assays are still attractive. Although, given typical MDRIs of around six to nine months, these assays will still need to be embedded in very large samples to give reliable estimates of incidence and statistically significant differences between groups.

This month saw the production of a useful supplement on many aspects of how data from different sources, including incidence assays are used to inform the sophisticated models on which so much HIV planning, programming and financing is based.  An example is Mahiane and colleagues’ paper on the development of a new tool to fit existing programme data into the spectrum suite of models in order to estimate incidence.

Finally in this section, for those who are keen on laboratory studies, Richardson-Harman and colleagues describe the current state of ex-vivo challenge models for assessing potential candidates as microbicides.  In these models, biopsies of rectal, cervical or vaginal tissue, taken during other procedures, or from volunteers, are kept alive in the laboratory.  The tissues can then be challenged with HIV in the presence or absence of potential microbicide products.  The current model works best for rectal tissues, in which infection occurs promptly and consistently, so that the effect of a microbicide can clearly be seen by a reduction in the production of HIV p24 antigen.  However, for cervical and vaginal tissues, the infection (in the absence of any microbicide) was less consistent, slower and lasted longer making it less easy to determine statistical differences between those tissues with microbicide and those without.  Further work of this sort may help to streamline the choice of microbicide or PrEP products that can most sensibly be taken out of the laboratory and into the (almost) real world of clinical trials.

Small-group randomized controlled trial to increase condom use and HIV testing among Hispanic/Latino gay, bisexual, and other men who have sex with men.

Rhodes SD, Alonzo J, Mann L, Song EY, Tanner AE, Arellano JE, Rodriguez-Celedon R, Garcia M, Freeman A, Reboussin BA, Painter TM. Am J Public Health. 2017 Jun;107(6):969-976. doi: 10.2105/AJPH.2017.303814. Epub 2017 Apr 20.

Objectives: To evaluate the HOLA en Grupos intervention, a Spanish-language small-group behavioral HIV prevention intervention designed to increase condom use and HIV testing among Hispanic/Latino gay, bisexual, and other men who have sex with men.

Methods: In 2012 to 2015, we recruited and randomized 304 Hispanic/Latino men who have sex with men, aged 18 to 55 years in North Carolina, to the 4-session HOLA en Grupos intervention or an attention-equivalent general health education comparison intervention. Participants completed structured assessments at baseline and 6-month follow-up. Follow-up retention was 100%.

Results: At follow-up, relative to comparison participants, HOLA en Grupos participants reported increased consistent condom use during the past 3 months (adjusted odds ratio [AOR] = 4.1; 95% confidence interval [CI] = 2.2, 7.9; P < .001) and HIV testing during the past 6 months (AOR = 13.8; 95% CI = 7.6, 25.3; P < .001). HOLA en Grupos participants also reported increased knowledge of HIV (P < .001) and sexually transmitted infections (P < .001); condom use skills (P < .001), self-efficacy (P < .001), expectancies (P < .001), and intentions (P < .001); sexual communication skills (P < .01); and decreased fatalism (P < .001).

Conclusions: The HOLA en Grupos intervention is efficacious for reducing HIV risk behaviors among Hispanic/Latino men who have sex with men.

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Not just PrEP: other reasons for London's HIV decline.

Nwokolo N, Whitlock G, McOwan A. Lancet HIV. 2017 Apr;4(4):e153. doi: 10.1016/S2352-3018(17)30044-9.

The reduction in HIV diagnoses in London in 2016 is attributed to pre-exposure prophylaxis (PrEP). We believe that the causes of the 42% decline seen at our clinic are likely to be multifactorial. 56 Dean Street diagnoses one in four of London's HIV cases, 50% of whom have incident infection (ie, within 4 months of infection). Because of this, and following the results of the START study, we actively recommend treatment at, or close to, diagnosis, reducing the risk of transmission in people who would otherwise be highly infectious.

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US black women and HIV prevention: time for new approaches to clinical trials.

Adimora AA, Cole SR, Eron JJ Clin Infect Dis. 2017 Apr 5. doi: 10.1093/cid/cix313. [Epub ahead of print]. 

Black women bear the highest burden of HIV infection among US women. Tenofovir/ emtricitabine HIV prevention trials among women in Africa have yielded varying results. Ideally, a randomized controlled trial (RCT) among US women would provide data for guidelines for US women's HIV pre-exposure prophylaxis use. However, even among US black women at high risk for HIV infection, sample size requirements for an RCT with HIV incidence as its outcome are prohibitively high. We propose to circumvent this large sample size requirement by evaluating relationships between HIV incidence and drug concentrations measured among participants in traditional phase 3 trials in high incidence settings - and then applying these observations to drug concentrations measured among at risk individuals in lower incidence settings, such as US black women. This strategy could strengthen the evidence base to enable black women to fully benefit from prevention research advances and decrease racial disparities in HIV rates.

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Heightened HIV antibody responses in postpartum women as exemplified by recent infection assays: implications for incidence estimates.

Hargrove JW, van Schalkwyk C, Humphrey JH, Mutasa K, Ntozini R, Owen SM, Masciotra S, Parekh BS, Duong YT, Dobbs T, Kilmarx PH, Gonese E. AIDS Res Hum Retroviruses. 2017 May 24. doi: 10.1089/AID.2016.0319. [Epub ahead of print].

Laboratory assays that identify recent HIV infections are important for assessing impacts of interventions aimed at reducing HIV incidence. Kinetics of HIV humoral responses can vary with inherent assay properties, and between HIV subtypes, populations, and physiological states. They are important in determining mean duration of recent infection (MDRI) for antibody-based assays for detecting recent HIV infections. We determined MDRIs for multi-subtype peptide representing subtypes B, E and D (BED)-capture enzyme immunoassay, limiting antigen (LAg), and Bio-Rad Avidity Incidence (BRAI) assays for 101 seroconverting postpartum women, recruited in Harare from 1997 to 2000 during the Zimbabwe Vitamin A for Mothers and Babies trial, comparing them against published MDRIs estimated from seroconverting cases in the general population. We also compared MDRIs for women who seroconverted either during the first 9 months, or at later stages, postpartum. At cutoffs (C) of 0.8 for BED, 1.5 for LAg, and 40% for BRAI, estimated MDRIs for postpartum mothers were 192, 104, and 144 days, 33%, 32%, and 52% lower than published estimates of 287, 152 and 298 days, respectively, for clade C samples from general populations. Point estimates of MDRI values were 7%-19% shorter for women who seroconverted in the first 9 months postpartum than for those seroconverting later. MDRI values for three HIV incidence biomarkers are longer in the general population than among postpartum women, particularly those who recently gave birth, consistent with heightened immunological activation soon after birth. Our results provide a caution that MDRI may vary significantly between subjects in different physiological states.

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Improvements in Spectrum's fit to program data tool.

Mahiane SG, Marsh K, Grantham K, Crichlow S, Caceres K, Stover J.  AIDS. 2017 Apr;31 Suppl 1:S23-S30. doi: 10.1097/QAD.0000000000001359.

Objective: The Joint United Nations Program on HIV/AIDS-supported Spectrum software package (Glastonbury, Connecticut, USA) is used by most countries worldwide to monitor the HIV epidemic. In Spectrum, HIV incidence trends among adults (aged 15-49 years) are derived by either fitting to seroprevalence surveillance and survey data or generating curves consistent with program and vital registration data, such as historical trends in the number of newly diagnosed infections or people living with HIV and AIDS related deaths. This article describes development and application of the fit to program data (FPD) tool in Joint United Nations Program on HIV/AIDS' 2016 estimates round.

Methods: In the FPD tool, HIV incidence trends are described as a simple or double logistic function. Function parameters are estimated from historical program data on newly reported HIV cases, people living with HIV or AIDS-related deaths. Inputs can be adjusted for proportions undiagnosed or misclassified deaths. Maximum likelihood estimation or minimum chi-squared distance methods are used to identify the best fitting curve. Asymptotic properties of the estimators from these fits are used to estimate uncertainty.

Results: The FPD tool was used to fit incidence for 62 countries in 2016. Maximum likelihood and minimum chi-squared distance methods gave similar results. A double logistic curve adequately described observed trends in all but four countries where a simple logistic curve performed better.

Conclusion: Robust HIV-related program and vital registration data are routinely available in many middle-income and high-income countries, whereas HIV seroprevalence surveillance and survey data may be scarce. In these countries, the FPD tool offers a simpler, improved approach to estimating HIV incidence trends.

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Analytical advances in the ex vivo challenge efficacy assay.

Richardson-Harman N, Parody R, Anton P, McGowan I, Doncel G, Thurman AR, Herrera C, Kordy K, Fox J, Tanner K, Swartz G, Dezzutti CS. AIDS Res Hum Retroviruses. 2017 Apr;33(4):395-403. doi: 10.1089/AID.2016.0073. Epub 2016 Dec 16.

The ex vivo challenge assay is being increasingly used as an efficacy endpoint during early human clinical trials of HIV prevention treatments. There is no standard methodology for the ex vivo challenge assay, although the use of different data collection methods and analytical parameters may impact results and reduce the comparability of findings between trials. In this analysis, we describe the impact of data imputation methods, kit type, testing schedule and tissue type on variability, statistical power, and ex vivo HIV growth kinetics. Data were p24 antigen (pg/ml) measurements collected from clinical trials of candidate microbicides where rectal (n = 502), cervical (n = 88), and vaginal (n = 110) tissues were challenged with HIV-1BaL ex vivo. Imputation of missing data using a nonlinear mixed effect model was found to provide an improved fit compared to imputation using half the limit of detection. The rectal virus growth period was found to be earlier and of a relatively shorter duration than the growth period for cervical and vaginal tissue types. On average, only four rectal tissue challenge assays in each treatment and control group would be needed to find a one log difference in p24 to be significant (alpha = 0.05), but a larger sample size was predicted to be needed for either cervical (n = 21) or vaginal (n = 10) tissue comparisons. Overall, the results indicated that improvements could be made in the design and analysis of the ex vivo challenge assay to provide a more standardized and powerful assay to compare efficacy of microbicide products.

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Violence experience of women living with HIV: a global study

Violence. Enough already: findings from a global participatory survey among women living with HIV.

Orza L, Bewley S, Chung C, Crone ET, Nagadya H, Vazquez M, Welbourn A. J Int AIDS Soc. 2015 Dec 1;18(6 Suppl 5):20285. doi: 10.7448/IAS.18.6.20285. eCollection 2015.

Introduction: Women living with HIV are vulnerable to gender-based violence (GBV) before and after diagnosis, in multiple settings. This study's aim was to explore how GBV is experienced by women living with HIV, how this affects women's sexual and reproductive health (SRH) and human rights (HR), and the implications for policymakers.

Methods: A community-based, participatory, user-led, mixed-methods study was conducted, with women living with HIV from key affected populations. Simple descriptive frequencies were used for quantitative data. Thematic coding of open qualitative responses was performed and validated with key respondents.

Results: In total, 945 women living with HIV from 94 countries participated in the study. Eighty-nine percent of 480 respondents to an optional section on GBV reported having experienced or feared violence, either before, since and/or because of their HIV diagnosis. GBV reporting was higher after HIV diagnosis (intimate partner, family/neighbours, community and health settings). Women described a complex and iterative relationship between GBV and HIV occurring throughout their lives, including breaches of confidentiality and lack of SRH choice in healthcare settings, forced/coerced treatments, HR abuses, moralistic and judgemental attitudes (including towards women from key populations), and fear of losing child custody. Respondents recommended healthcare practitioners and policymakers address stigma and discrimination, training, awareness-raising, and HR abuses in healthcare settings.

Conclusions: Respondents reported increased GBV with partners and in families, communities and healthcare settings after their HIV diagnosis and across the life-cycle. Measures of GBV must be sought and monitored, particularly within healthcare settings that should be safe. Respondents offered policymakers a comprehensive range of recommendations to achieve their SRH and HR goals. Global guidance documents and policies are more likely to succeed for the end-users if lived experiences are used.

Abstract  Full-text [free] access

Editor’s notes: Violence against women who are living with HIV is common globally. This paper reports on a study of 832 women living with HIV from 94 countries who participated in an online survey, recruited through a non-random snowball sampling model. The survey comprised quantitative and qualitative (free text) components. Participants included women who had ever or were currently using injection drugs (14%), who had ever or were currently selling sex (14%), and who had ever or were currently homeless (14%). Lifetime experience of violence among respondents was high (86%). Perpetrators included: intimate partner (59%), family member / neighbour (45%), community member (53%), health care workers (53%) and police, military, prison or detention services (17%). Findings suggest that violence is not a one off occurrence and cannot easily be packaged as a cause or a consequence of HIV. Instead violence occurs throughout women’s lives, takes multiple forms, and has a complex and iterative relationship with HIV.

The study population did not represent all women living with HIV, and was biased towards women with internet access who have an activist interest. Nonetheless, the study provides further evidence of the breadth and frequency of gender based violence experienced by women living with HIV. Key recommendations for policy makers include training of health care workers working in sexual and reproductive services to offer non-discriminatory services to women living with HIV and to effectively respond to disclosures of gender based violence (such as intimate partner violence) as part of the package of care.

Algeria, Angola, Argentina, Armenia, Australia, Austria, Azerbaijan, Belarus, Belgium, Belize, Bolivarian Republic of Venezuela, Bolivia, Botswana, Burkina Faso, Burundi, Cambodia, Cameroon, Canada, Chile, China, Colombia, Costa Rica, Côte d'Ivoire, Czech Republic, Democratic Republic of the Congo, Denmark, Dominican Republic, Ecuador, El Salvador, Estonia, Ethiopia, France, Gabon, Germany, Ghana, Greece, Guatemala, Honduras, Hungary, India, Indonesia, Ireland, Italy, Jamaica, Kazakhstan, Kenya, Kyrgyzstan, Lesotho, Malawi, Mali, Mexico, Moldova, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Nigeria, Norway, Panama, Paraguay, Peru, Poland, Republic of the Congo, Romania, Russian Federation, Rwanda, Serbia, South Africa, Spain, Sri Lanka, Sudan, Swaziland, Switzerland, Tajikistan, Togo, Transdniestria, Turkey, Uganda, Ukraine, United Kingdom, United Republic of Tanzania, United States of America, Uruguay, Uzbekistan, Viet Nam, Zambia, Zimbabwe
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Expanding ART access: increasing costs

The HIV treatment gap: estimates of the financial resources needed versus available for scale-up of antiretroviral therapy in 97 countries from 2015 to 2020.

Dutta A, Barker C, Kallarakal A. PLoS Med. 2015 Nov 24;12(11):e1001907. doi: 10.1371/journal.pmed.1001907. eCollection 2015.

Background: The World Health Organization (WHO) released revised guidelines in 2015 recommending that all people living with HIV, regardless of CD4 count, initiate antiretroviral therapy (ART) upon diagnosis. However, few studies have projected the global resources needed for rapid scale-up of ART. Under the Health Policy Project, we conducted modeling analyses for 97 countries to estimate eligibility for and numbers on ART from 2015 to 2020, along with the facility-level financial resources required. We compared the estimated financial requirements to estimated funding available.

Methods and findings: Current coverage levels and future need for treatment were based on country-specific epidemiological and demographic data. Simulated annual numbers of individuals on treatment were derived from three scenarios: (1) continuation of countries' current policies of eligibility for ART, (2) universal adoption of aspects of the WHO 2013 eligibility guidelines, and (3) expanded eligibility as per the WHO 2015 guidelines and meeting the Joint United Nations Programme on HIV/AIDS "90-90-90" ART targets. We modeled uncertainty in the annual resource requirements for antiretroviral drugs, laboratory tests, and facility-level personnel and overhead.

We estimate that 25.7 (95% CI 25.5, 26.0) million adults and 1.57 (95% CI 1.55, 1.60) million children could receive ART by 2020 if countries maintain current eligibility plans and increase coverage based on historical rates, which may be ambitious. If countries uniformly adopt aspects of the WHO 2013 guidelines, 26.5 (95% CI 26.0 27.0) million adults and 1.53 (95% CI 1.52, 1.55) million children could be on ART by 2020. Under the 90-90-90 scenario, 30.4 (95% CI 30.1, 30.7) million adults and 1.68 (95% CI 1.63, 1.73) million children could receive treatment by 2020. The facility-level financial resources needed for scaling up ART in these countries from 2015 to 2020 are estimated to be US$45.8 (95% CI 45.4, 46.2) billion under the current scenario, US$48.7 (95% CI 47.8, 49.6) billion under the WHO 2013 scenario, and US$52.5 (95% CI 51.4, 53.6) billion under the 90-90-90 scenario. After projecting recent external and domestic funding trends, the estimated 6-y financing gap ranges from US$19.8 billion to US$25.0 billion, depending on the costing scenario and the U.S. President's Emergency Plan for AIDS Relief contribution level, with the gap for ART commodities alone ranging from US$14.0 to US$16.8 billion. The study is limited by excluding above-facility and other costs essential to ART service delivery and by the availability and quality of country- and region-specific data.

Conclusions: The projected number of people receiving ART across three scenarios suggests that countries are unlikely to meet the 90-90-90 treatment target (81% of people living with HIV on ART by 2020) unless they adopt a test-and-offer approach and increase ART coverage. Our results suggest that future resource needs for ART scale-up are smaller than stated elsewhere but still significantly threaten the sustainability of the global HIV response without additional resource mobilization from domestic or innovative financing sources or efficiency gains. As the world moves towards adopting the WHO 2015 guidelines, advances in technology, including the introduction of lower-cost, highly effective antiretroviral regimens, whose value are assessed here, may prove to be "game changers" that allow more people to be on ART with the resources available.

Abstract Full-text [free] access

Editor’s notes: This is a complex and important paper that seeks to understand the financial requirements necessary to: a) continue countries’ current policies of eligibility for ART, b) roll out universal adoption of certain aspects of WHO 2013 eligibility guidelines, and c) expand eligibility as per WHO 2015 guidelines and meeting the Joint United Nations Programme on HIV/AIDS ‘90-90-90’ targets.

The authors estimated the number of adults and children eligible for and receiving HIV treatment, as well as the cost of providing ART in 97 countries across six regions, covering different income levels. They estimated that 25.7 million adults and 1.57 million children could receive ART by 2020 if countries maintain the current eligibility strategies. If countries adopted WHO 2013 eligibility guidelines, 26.5 million adults and 1.53 million children would be on ART by 2020, and if they adopted the 90-90-90 scenario, 30.4 million adults and 1.68 million children could receive treatment by then. The financial resources necessary for this scale up are estimated to be US$ 45.8 billion under current eligibility, US$ 48.7 billion under WHO 2013 scenario and US$ 52.5 billion under the 90-90-90 scenario. The estimated funding gap for the six year period ranges between US$ 20 and US$ 25 billion. In this study, the costs of commodities were taken directly from data collated by other organisations.  No empirical cost estimates of service delivery were made.  Nor was there an attempt to understand the cost implications of the development synergies and social and programme enablers that may be needed to increase the number of people living with HIV knowing their status.  The new WHO recommendations need to be actively pursued if we are to meet targets, rather than passively continuing with “business as usual”. 

Nonetheless, the findings of this study highlight the gap between guidelines written by WHO and very real programmatic obstacles on the ground. There is evidence to suggest that universal test-and-treat strategies could lead to substantially improved health outcomes at the population level, as well as potentially being cost-saving in the long-term. However, as the authors have illustrated, it would require increased levels of funding. What needs to be explored further now is how to overcome the logistical hurdles of rolling out such an initiative. Changing systems and practices is costly and takes time. Health workers will have to be retrained, data collection strategies will have to be revised. Expanding treatment may also mean increasing the number of health staff working on this initiative, which has an opportunity cost that may reverberate in other parts of the health system. Substantially altering health service provision, particularly in weak health systems, may have knock-on effects with unexpected and unintended consequences.

WHO guidelines serve a vital purpose of giving us a goal to aim for. But studies like this one help us know if and how we can get there. 

Africa, Asia, Europe, Latin America, Oceania
Algeria, Angola, Armenia, Azerbaijan, Bahamas, Bangladesh, Barbados, Belarus, Belize, Benin, Bhutan, Bolivia, Botswana, Bulgaria, Burkina Faso, Burundi, Cambodia, Cameroon, Central African Republic, Chad, China, Comoros, Côte d'Ivoire, Cuba, Democratic Republic of the Congo, Djibouti, Dominican Republic, Egypt, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Georgia, Ghana, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, India, Indonesia, Iran (Islamic Republic of), Jamaica, Kazakhstan, Kenya, Kyrgyzstan, Lao People's Democratic Republic, Lesotho, Liberia, Madagascar, Malawi, Malaysia, Mali, Mauritania, Mauritius, Moldova, Mongolia, Morocco, Mozambique, Myanmar, Namibia, Nepal, Nicaragua, Niger, Nigeria, Pakistan, Papua New Guinea, Philippines, Republic of the Congo, Romania, Russia, Rwanda, Senegal, Serbia and Montenegro, Sierra Leone, Somalia, South Africa, Sri Lanka, Sudan, Suriname, Swaziland, Tajikistan, Thailand, Togo, Trinidad and Tobago, Tunisia, Uganda, Ukraine, United Republic of Tanzania, Uzbekistan, Viet Nam, Yemen, Zambia, Zimbabwe
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Counting and classifying global deaths

Global, regional, and national incidence and mortality for HIV, tuberculosis, and malaria during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Murray CJ, Ortblad KF, Guinovart C, et al. Lancet. 2014 Sep 13;384(9947):1005-70. doi: 10.1016/S0140-6736(14)60844-8. Epub 2014 Jul 22.

Background: The Millennium Declaration in 2000 brought special global attention to HIV, tuberculosis, and malaria through the formulation of Millennium Development Goal (MDG) 6. The Global Burden of Disease 2013 study provides a consistent and comprehensive approach to disease estimation for between 1990 and 2013, and an opportunity to assess whether accelerated progress has occurred since the Millennium Declaration.

Methods: To estimate incidence and mortality for HIV, we used the UNAIDS Spectrum model appropriately modified based on a systematic review of available studies of mortality with and without antiretroviral therapy (ART). For concentrated epidemics, we calibrated Spectrum models to fit vital registration data corrected for misclassification of HIV deaths. In generalised epidemics, we minimised a loss function to select epidemic curves most consistent with prevalence data and demographic data for all-cause mortality. We analysed counterfactual scenarios for HIV to assess years of life saved through prevention of mother-to-child transmission (PMTCT) and ART. For tuberculosis, we analysed vital registration and verbal autopsy data to estimate mortality using cause of death ensemble modelling. We analysed data for corrected case-notifications, expert opinions on the case-detection rate, prevalence surveys, and estimated cause-specific mortality using Bayesian meta-regression to generate consistent trends in all parameters. We analysed malaria mortality and incidence using an updated cause of death database, a systematic analysis of verbal autopsy validation studies for malaria, and recent studies (2010-13) of incidence, drug resistance, and coverage of insecticide-treated bednets.

Findings: Globally in 2013, there were 1.8 million new HIV infections (95% uncertainty interval 1.7 million to 2.1 million), 29.2 million prevalent HIV cases (28.1 to 31.7), and 1.3 million HIV deaths (1.3 to 1.5). At the peak of the epidemic in 2005, HIV caused 1.7 million deaths (1.6 million to 1.9 million). Concentrated epidemics in Latin America and eastern Europe are substantially smaller than previously estimated. Through interventions including PMTCT and ART, 19.1 million life-years (16.6 million to 21.5 million) have been saved, 70.3% (65.4 to 76.1) in developing countries. From 2000 to 2011, the ratio of development assistance for health for HIV to years of life saved through intervention was US$ 4498 in developing countries. Including in HIV-positive individuals, all-form tuberculosis incidence was 7.5 million (7.4 million to 7.7 million), prevalence was 11.9 million (11.6 million to 12.2 million), and number of deaths was 1.4 million (1.3 million to 1.5 million) in 2013. In the same year and in only individuals who were HIV-negative, all-form tuberculosis incidence was 7.1 million (6.9 million to 7.3 million), prevalence was 11.2 million (10.8 million to 11.6 million), and number of deaths was 1.3 million (1.2 million to 1.4 million). Annualised rates of change (ARC) for incidence, prevalence, and death became negative after 2000. Tuberculosis in HIV-negative individuals disproportionately occurs in men and boys (versus women and girls); 64.0% of cases (63.6 to 64.3) and 64.7% of deaths (60.8 to 70.3). Globally, malaria cases and deaths grew rapidly from 1990 reaching a peak of 232 million cases (143 million to 387 million) in 2003 and 1.2 million deaths (1.1 million to 1.4 million) in 2004. Since 2004, child deaths from malaria in sub-Saharan Africa have decreased by 31.5% (15.7 to 44.1). Outside of Africa, malaria mortality has been steadily decreasing since 1990.

Interpretation: Our estimates of the number of people living with HIV are 18.7% smaller than UNAIDS's estimates in 2012. The number of people living with malaria is larger than estimated by WHO. The number of people living with HIV, tuberculosis, or malaria have all decreased since 2000. At the global level, upward trends for malaria and HIV deaths have been reversed and declines in tuberculosis deaths have accelerated. 101 countries (74 of which are developing) still have increasing HIV incidence. Substantial progress since the Millennium Declaration is an encouraging sign of the effect of global action.

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Editor’s notes: The Global Burden of Disease (GBD) study uses standard methods to compare and track over time national distributions of deaths by cause, and the prevalence of disease and disability.  This detailed report focuses on HIV, TB and Malaria. It presents regional summaries of incidence, prevalence and mortality rates, and national estimates of the number of male and female deaths and new infections. Point estimates are shown for 2013, and annualised rates of change for 1990-2000 and 2000-2013. These highlight the contrasting trends in disease impact before and after the formulation of the Millennium Development Goal to combat these diseases.  The global peak of HIV mortality occurred in 2005, but regional annualised rates of change for 2000-2013 indicate that HIV deaths are still increasing significantly in east Asia, southern Africa, and most rapidly in eastern Europe.

The GBD 2013 global estimates of new infections and deaths agree closely with the corresponding estimates made by UNAIDS. But there are significant differences in the respective estimates of the number of people currently living with HIV (UNAIDS estimates are some 18% higher), and historical trends in AIDS deaths, with UNAIDS judging that the recent fall has been steeper. These differences are attributed primarily to methods used in the GBD study to ensure that the sum of deaths from specific causes fits the estimated all cause total, and to varying assumptions about historical survival patterns following HIV infection. 

It may be worthwhile to look at a comment by Michel Sidibé, Mark Dybul, and Deborah Birx in the Lancet on MDG 6 and beyond: from halting and reversing AIDS to ending the epidemic which refers to this study.

Epidemiology
Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Australia, Austria, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bhutan, Bolivia, Bosnia and Herzegovina, Botswana, Brazil, Bulgaria, Burkina Faso, Burundi, Cambodia, Cameroon, Canada, Cape Verde, Central African Republic, Chad, Chile, China, Colombia, Comoros, Congo, Costa Rica, Côte d'Ivoire, Croatia, Cuba, Cyprus, Czech Republic, Democratic People's Republic of Korea, Democratic Republic of the Congo, Democratic Republic of Timor-Leste, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Germany, Ghana, Greece, Grenada, Guatemala, Guinea, Guinea-Bissau, Guyana, Haiti, Honduras, Hungary, Iceland, India, Indonesia, Iran (Islamic Republic of), Iraq, Ireland, Israel, Italy, Jamaica, Jordan, Kazakhstan, Kenya, Kiribati, Kuwait, Kyrgyzstan, Lao People's Democratic Republic, Latvia, Lebanon, Lesotho, Liberia, Libyan Arab Jamahiriya, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia (Federated States of), Monaco, Mongolia, Morocco, Mozambique, Myanmar, Namibia, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Norway, Oman, Pakistan, Palestinian Territory, Occupied, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Qatar, Romania, Russian Federation, Rwanda, Saint Lucia, Saint Vincent and the Grenadines, Samoa, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia and Montenegro, Seychelles, Sierra Leone, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, Spain, Sri Lanka, Sudan, Suriname, Swaziland, Sweden, Switzerland, Syrian Arab Republic, Taiwan, Tajikistan, Thailand, Togo, Tonga, Trinidad and Tobago, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United States of America, Uruguay, Uzbekistan, Vanuatu, Venezuela, Viet Nam, Yemen, Zimbabwe
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Meta-analysis finds partial support for elevated HIV prevalence among the military

Systematic review and meta-analysis of HIV prevalence among men in militaries in low income and middle income countries. 

Lloyd J, Papworth E, Grant L, Beyrer C, Baral S. Sex Transm Infect. 2014 Apr 7. doi: 10.1136/sextrans-2013-051463. [Epub ahead of print]

Objectives: To determine whether the current HIV prevalence in militaries of low-income and middle-income countries is higher, the same, or lower than the HIV prevalence in the adult male population of those countries.

Methods: HIV prevalence data from low-income and middle-income countries' military men were systematically reviewed during 2000-2012 from peer reviewed journals, clearing-house databases and the internet. Standardised data abstraction forms were used to collect information on HIV prevalence, military branch and sample size. Random effects meta-analyses were completed with the Mantel-Haenszel method comparing HIV prevalence among military populations with other men in each country.

Results: 2 214 studies were retrieved, of which 18 studies representing nearly 150 000 military men across 11 countries and 4 regions were included. Military male HIV prevalence across the studies ranged from 0.06% (n=22 666) in India to 13.8% (n=2 733) in Tanzania with a pooled prevalence of 1.1% (n=147 591). HIV prevalence in male military populations in sub-Saharan Africa was significantly higher when compared with reproductive age (15-49 years) adult men (OR: 2.8, 95% CI 1.01 to 7.81). HIV prevalence in longer-serving male military populations compared with reproductive age adult men was significantly higher (OR: 2.68, 95% CI 1.65 to 4.35).

Conclusions: Our data reveals that across the different settings, the burden of HIV among militaries may be higher or lower than the civilian male populations. In this study, male military populations in sub-Saharan Africa, low-income countries and longer-serving men have significantly higher HIV prevalence. Given the national security implications of the increased burden of HIV, interventions targeting military personnel in these populations should be scaled up where appropriate.

Abstract access 

Editor’s notes: Men in military service are considered a key population because they spend protracted periods away from home and may engage in casual or other high-risk sex. This is not just a health concern for the armed forces themselves, but countries have in the past refused the assistance of peacekeeping forces because they were deemed a source of new infections. This systematic review concludes that HIV infection rates in the military are not universally higher than among men of reproductive age in the general population. However, significantly elevated prevalence was detected in studies from sub-Saharan Africa and among military who have been in service for over one year. The latter suggests that the relatively high prevalence results from increased exposure during service rather than the disproportional recruitment of men with HIV into service. On the contrary, the prevalence among new recruits is lower than in the general population. Prevention efforts, including HIV testing and counselling, and condom distribution, need to be increased during deployment in settings where exposure to HIV is high.

Epidemiology
Africa, Asia, Latin America
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Renewed prevention efforts needed for key populations in Latin America and the Caribbean

Epidemiology of HIV in Latin America and the Caribbean.

De Boni R, Veloso VG, Grinsztejn B. Curr Opin HIV AIDS. 2014 Jan 3. [Epub ahead of print]

Purpose of review: The aim of the present review is to update HIV/AIDS Epidemiology in Latin America and the Caribbean highlighting the concentrated aspect of epidemic in the region.

Recent findings: Among general population, HIV prevalence in Latin America is at stable levels (0.2-0.7%). The Caribbean still has one of the highest HIV prevalence rates in the world (<0.1-3%), but incidences have declined around 49%. This is not the current situation for high-risk key populations; most incident cases occur among MSM. Available data on transgender women suggest that they are the most-at-risk group. Female sex workers still have a 12-fold chance of being HIV positive compared with other women. IDU prevalence was revised to 0.45%, but non-IDU has been suggested as a mediator between sexual risk and HIV.

Summary: The increase in treatment coverage (mean is at 63%) resulted in modifications of HIV/AIDS epidemiology. New strategies to seek, test and link key populations to care are urgently needed and targeted interventions to prevent HIV expansion among them must be adopted. These strategies should consider the particular situation regarding social inequalities, discrimination and violence that pervade the HIV epidemic among key populations.

Abstract access 

Editor’s notes: This review highlights recently published data on key populations in Latin America and the Caribbean, including men who have sex with men (MSM), transgender women, female sex workers and people who inject drugs. HIV remains a concentrated epidemic in Latin America and the Caribbean with MSM and transgender women being the most vulnerable populations. Although antiretroviral therapy (ART) coverage has increased to over 80% in several countries, a renewed focus on prevention, especially among key populations, is needed. It is estimated that prevention efforts currently only receive 15% of HIV public spending in this region. Culturally appropriate efforts are needed to identify and prevent HIV infection among key populations, and to better understand transmission dynamics of neglected groups such as transgender women. 

Latin America
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