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Journal of the International AIDS Society logoLink to Journal of the International AIDS Society
. 2015 Dec 14;18(1):20499. doi: 10.7448/IAS.18.1.20499

Investigating combination HIV prevention: isolated interventions or complex system

Graham Brown 1,2,§, Daniel Reeders 1, Gary W Dowsett 1,2, Jeanne Ellard 1,3, Marina Carman 1, Natalie Hendry 1, Jack Wallace 1
PMCID: PMC4680918  PMID: 26673880

Abstract

Introduction

Treatment as prevention has mobilized new opportunities in preventing HIV transmission and has led to bold new UNAIDS targets in testing, treatment coverage and transmission reduction. These will require not only an increase in investment but also a deeper understanding of the dynamics of combining behavioural, biomedical and structural HIV prevention interventions. High-income countries are making substantial investments in combination HIV prevention, but is this investment leading to a deeper understanding of how to combine interventions? The combining of interventions involves complexity, with many strategies interacting with non-linear and multiplying rather than additive effects.

Discussion

Drawing on a recent scoping study of the published research evidence in HIV prevention in high-income countries, this paper argues that there is a gap between the evidence currently available and the evidence needed to guide the achieving of these bold targets. The emphasis of HIV prevention intervention research continues to look at one intervention at a time in isolation from its interactions with other interventions, the community and the socio-political context of their implementation. To understand and evaluate the role of a combination of interventions, we need to understand not only what works, but in what circumstances, what role the parts need to play in their relationship with each other, when the combination needs to adapt and identify emergent effects of any resulting synergies. There is little development of evidence-based indicators on how interventions in combination should achieve that strategic advantage and synergy. This commentary discusses the implications of this ongoing situation for future research and the required investment in partnership. We suggest that systems science approaches, which are being increasingly applied in other areas of public health, could provide an expanded vocabulary and analytic tools for understanding these complex interactions, relationships and emergent effects.

Conclusions

Relying on the current linear but disconnected approaches to intervention research and evidence we will miss the potential to achieve and understand system-level synergies. Given the challenges in sustaining public health and HIV prevention investment, meeting the bold UNAIDS targets that have been set is likely to be dependent on achieving systems level synergies.

Keywords: combination HIV prevention, evaluation, evidence, complex systems, intervention research, treatment as prevention

Introduction

In 2014, UNAIDS announced bold new targets for the global response to HIV (90% of people living with HIV (PLHIV) knowing their status, 90% of diagnosed PLHIV on treatment and 90% of PLHIV on treatment achieving an undetectable viral load) by 2020 [1]. In some high-income countries, similar ambitious targets have been set [2]. These goals follow from research that suggests HIV treatment can dramatically reduce transmission of HIV for PLHIV [3,4] and for people at risk of acquiring HIV [5]. These new developments have been described as “game changers” [6], adding new tools to a long-established mix of behavioural, biomedical and structural HIV prevention interventions. Achieving these goals will require not only an increase in HIV prevention and health system investment but also a deeper understanding of the dynamics of combining different HIV prevention interventions.

A partnership of affected communities, health services, government and research has been the foundation of many effective responses to HIV [7]. Although the scientific evidence for treatment as prevention is strong, achieving bold targets in testing, treatment coverage and transmission reduction will again rely on this partnership to achieve an integrated combination of strategies in the community sector, health services and policy environments. This combination of strategies will need to adapt as local epidemiology and social contexts shift and evolve in unpredictable ways.

The emergence of new prevention technologies and the recognized complexity of the treatment cascade [8] underscore the need for research into the different and complex combinations that may be required in local epidemics. Understanding how to achieve beneficial synergy among the interventions is a central and recognized challenge for combination prevention [911].

Combination HIV prevention

Combination HIV prevention as a term emerged in the early 2000s but evolved further at the 2008 International AIDS Conference [11,12]. The concept draws on the term “combination” in combination antiretroviral therapy. Instead of prevention “monotherapy,” it proposed seeing HIV prevention as a combination of “potentially synergistic prevention activities” [10].

Although there is some disagreement on the definition of combination prevention, the key features in the UNAIDS discussion paper [13] included evidence-informed, simultaneous use of behavioural, biomedical and structural prevention strategies that are planned and managed to operate synergistically, and are flexible enough to permit continual adaptation to the changing environment. Central to most definitions is the combination of behavioural, biomedical and structural interventions – an imprecise shorthand for a wide range of HIV prevention interventions and services across categories with unclear boundaries. However, in general:

  • Behavioural interventions are aimed at achieving changes in individual behaviour, such as use of condoms and safe injecting equipment, regular HIV testing or uptake of treatment (for prevention or health management). These include interventions such as peer education, community outreach, counselling and social marketing.

  • Biomedical interventions are aimed at achieving improved prevention of HIV transmission through biomedical technology. These include, but are not limited to, the use of HIV medications for post- or pre-exposure prophylaxis (PEP, PrEP) or the achievement of undetectable viral load in a person with HIV.

  • Structural interventions are aimed at influencing the social, political and institutional enablers, barriers and drivers of HIV epidemics. These include law reform; community leadership; access to health services, condoms and/or injecting equipment; reducing stigma or gender inequity; and increasing community resilience and political commitment. The focus is on promoting health by altering the structural context within which health is produced and reproduced [14].

Additive or synergy

Although combination prevention is consistent with the foundations of the Ottawa Charter for Health Promotion [15] and has been presented as a “packaging” of complementary prevention interventions [10], a question arises. Is adding more and more ingredients to the mix, with little recognition of the need to craft a strategic mix, to adapt the mix over time or to respond to emerging consequences, simply an additive approach that cannot assess the synergies achieved in that packaging?

Most high-income countries are making substantial investments in combination HIV prevention, but will this investment lead to a deeper understanding of how to combine interventions? Will the current intervention research assist policymakers and communities to implement effective and adaptive combinations of HIV prevention interventions?

This paper argues that there continues to be a major gap between the evidence needed and the evidence currently available. We draw briefly on the results of a recent scoping study by Authors 1, 4 and 5 (see Table 1) to illustrate key themes in the current published evidence and then discuss the implications of this situation for future research and the partnerships this will require.

Table 1.

Summary of intervention research scoping study

Scoping review question What is the focus of published evidence regarding HIV prevention and health promotion interventions in high-income countries with concentrated epidemics?
Approach Systematic scoping review as described by Arkey and O'Melley [17] in that it mapped the focus, rather than assessed the results, of the studies.
Data bases searched EMBASE (Ovid), Informit Health, Medline, ProQuest, SAGE, SCOPUS (Elsevier), Web of Science [ISI], PsychInfo, Science Direct.
Search terms HIV prevention, HIV health promotion and HIV combination prevention. These were coupled with terms such as review, evaluation, evidence, intervention, implementation, intervention focus (such as individual, group, community, structural), social drivers, programme theory, programme logic, systems.
Inclusion Published in English between January 2006 and June 2013.
Focused on or included analyses of HIV prevention and health promotion evidence and evaluation regarding sexual transmission of HIV in high-income countries with concentrated epidemics.
Exclusion Exclusively laboratory-based biomedical and clinical studies.
Focused exclusively on preventing HIV transmission through mother-to-child transmission, as these were rare occurrences in the Australian HIV epidemic.
Focused exclusively on public health mechanisms not being proposed in Australia, such as male circumcision.
Published peer reviewed literature The search yielded 2,598 papers. The titles of the papers were reviewed against the inclusion criteria and reduced to (522 papers). These papers were reviewed in detail and relevant papers were removed as per the exclusion criteria, if were duplicates, if were included in subsequently identified systematic reviews, or if they had been superseded by later papers. This resulted in 284 papers remaining.
Grey literature search English language abstracts from key conferences where health promotion practice and intervention science was presented (such as the International AIDS Conference and key regional conferences in Europe, North America and Australasia).
Reports and reviews from key government and non-government websites in Europe, North America and Australasia.
This process added 212 reports, reviews and conference papers.
Mapping of literature A total of 496 papers were included in the review. The papers were analyzed and mapped using the “level of intervention” categories adopted in the Lancet series [9] and UNAIDS technical guidance on combination prevention [13]. These include individual, group, behavioural, biomedical, community and structural levels.
Findings Majority of research focus
• Interventions aimed at individuals and small groups.
Moderate research focus
• Social marketing and community development in HIV prevention.
• Underlying social and behavioural theories and quality practice.
• How biomedical strategies may be effective in different contexts and among different populations outside trial conditions.
Least research focus
• Interventions that operate at or target the structural level.
• Understanding the mechanisms and common factors within interventions that can be adapted.
• Evaluation of the synergies within a combined HIV prevention system.
The full report is available online [16]. www.latrobe.edu.au/arcshs/publications

Discussion

HIV prevention intervention research

In the lead-up to the development of Australia's Seventh National HIV Strategy [2], a scoping study of HIV intervention research conducted in high-income countries and published between 2006 and 2013 was undertaken to identify gaps and guide future evidence-building research [16]. The scoping study provided a useful overview of the extent to which recent published research evidence from high-income countries was responding to calls for a broader and more comprehensive evidence base to guide the combining of behavioural, biomedical and structural interventions. Summarized in Table 1, the findings of the scoping study mapped 496 publications using the “level of intervention” categories adopted in the Lancet series [9] and UNAIDS technical guidance on combination prevention [13]. These include individual, group, behavioural, biomedical, community and structural levels. The full methodology and findings report is available online [16]. From the findings of this scoping study we can draw three key themes about the evaluation of HIV prevention.

Theme 1: A focus on individual behaviour change

It is well recognized that intervention research in HIV has focused on interventions targeting short-term individual behaviour change with limited attention given to researching the role of structural changes [18,19]. The scoping study found no evidence of a significant change in this emphasis. The literature continued to be dominated by experimental trials with a focus on intervention fidelity and aimed at controlling external or contextual variables to determine the contribution of the single intervention [2022].

Experimental methodologies are preferred, and individual outcomes are methodologically simpler and logistically easier to study by these methodologies than broader structural interventions. This can reinforce a policy and funding focus on individual outcomes and, consequently, lead to research questions focused on individual outcomes. As argued by Coates et al. [10], the reliance on experimental designs to determine a suite of effective interventions can influence the type of interventions that are studied and therefore funded.

Theme 2: Evaluating isolated interventions

The scoping study found the literature was dominated by intervention research that sought to measure the effect attributable to each intervention or programme in isolation, excluding effects attributable to interactions with other programmes or the local community and socio-political context. This approach struggles to model and measure the intersection of reciprocal or mutual influences (positive or negative) within a mix of interventions. There was little published research that attempted to evaluate the influences, synergies and conflicts between interventions within an overall combination approach, or which tracked the combination over time to identify any changes required as epidemiological, behavioural and structural contexts underwent changes of their own. The literature recognized that the impact of individual interventions may have been influenced by how they interacted with, and evolved in, a local context, referring to variables and interactions that an experimental study normally aims to control [23,24]. Nevertheless, most of the literature made little contribution to understanding whether a combination of interventions at a particular time and location was more or less effective than the sum of its parts in the same circumstances. The current research focus adds to an evidence base useful for decisions about single interventions, but treating potential synergies as confounders is less helpful for a strategic combination of interventions.

Theme 3: Limited implementation experience

The scoping study found that most research reflected an assumption that the interventions being tested would be implemented as a new intervention; little research presented evidence on how to adapt existing interventions to maintain or improve their effectiveness over time. Few offered clear explanations of the mechanisms that produce outcomes in context, or guidance on what mechanisms need to be preserved when interventions were adapted in different settings [2527]. Programmes that focused on disseminating evidence-based HIV prevention packages (derived from experimental trials) across the HIV sector described challenges in their dissemination because of the need to adapt the packages to ensure effectiveness in local contexts with different social structures and health services [28], or respond to fundamental changes such as the role of treatment in prevention [29].

Implications

HIV has long been recognized as having its causes and consequences “deeply embedded in social, cultural and political processes” [30] and the response has always included adapting to changing epidemiological, technological and community developments [7,18]. However, the emphasis of HIV prevention intervention research in high-income countries continues to look at one intervention at a time (predominantly focused on individual behaviour), in isolation from its interactions with other interventions, and the community and the socio-political context of their implementation. When interventions are researched as isolated activities, this may reinforce the perspective within policy and funding agencies that interventions operate in isolation and their combined influence is simply additive and linear. This perspective directs attention away from identifying the relationships between interventions that could enhance impact or result in unintended negative consequences. It also supports the assumption that the only adaptation to “proven” interventions are tailoring and fine-tuning, rather than actively adapting and reorientating to changes produced by any number of forces, such as the environment, health system supply chain problems, political and funding changes, and many others.

Combination prevention as a complex system

What is needed is research that recognizes that interventions and the systems of which they are part can be complex, dynamic, fluid and can be pressured or resistant to change. As has been argued previously [3134], we require research and evaluation approaches that are focused on understanding the relationship between different interventions as well as between interventions and their environment. This means recognizing combination prevention as a “complex system.”

Complex systems are made up of heterogeneous elements that interact with one another and produce effects that are different from the effects of individual elements. These effects are emergent and not easily predictable and will adapt to changing circumstances [35]. Approaching combination prevention as part of a complex system asks us to consider the multiplying and amplifying effects of the relationship between elements in a system and its emergent overall effects. It helps us recognize that the way communities respond, enhance, adapt, resist or ignore interventions are part of the intervention process itself and not just confounders to the implementation of a predeveloped intervention. For example, the introduction of PrEP has highlighted the complexity inherent in combination HIV prevention [36,37]. PrEP has reciprocal interactions with health systems; community understandings of safe sex, HIV stigma, homophobia and moralism about sexual behaviour; and health literacy disparities in ways that cannot be easily predicted. This influence began before PrEP was more widely available in the United States [38] and is already occurring in other high-income countries where access is limited to importing from overseas [39]. PrEP has the capacity simultaneously to increase judgement and stigma about sexual behaviour and to decrease fear and stigma in sexual encounters. The system in which PrEP is to be incorporated into a combination prevention approach is a rapidly changing environment.

Combining interventions means recognizing that components in the system will interact and influence each other whether this is planned or not. The emphasis of combination prevention should be to gain the best strategic advantage and synergy from that interaction as it adapts and evolves. At present, however, there is little development of good quality evidence-based indicators on how interventions in combination work and how they should be funded, developed, implemented, evaluated and adapted to achieve the strategic advantage and synergy hoped for.

Systems science is an emerging approach in public health that has seen substantial uptake and application in other complex health and social challenges such as obesity [4043], tobacco [44], and other areas [45]. Systems science approaches are a collection of analytic tools, such as system dynamics, network analysis, and agent-based modelling, that aim to examine simultaneously the big picture, the individual pieces that make up the picture and the complexity of non-linear relationships and emergent effects [35,46,47]. As argued by Skinner and colleagues [43, p. 2] in their work in obesity prevention:

Systems science offers a means of identifying and understanding the complex relationships involved in public health policies. It recognizes that policies are based on complex, interdependent and evolving relationships and include heterogeneous agents (e.g., individuals, companies or civic associations) acting in their own perceived self-interests. Time matters, as relationships among the agents have a history and, as a result, can develop stability or even inertia. In a complex system, intervention in one aspect will have unanticipated effects, often delayed and non-linear. Such effects are not exceptions but the norm.

There have been substantial investments into the evaluation of large-scale combination prevention programmes in some low-income countries with generalized epidemics [4850] as well as developments in the use of implementation and operations research [51]. However, most investments have not focused on the relationships between the components of a combination prevention system or the ongoing adaptations required because of unpredictable interactions and dynamics. Without a deeper understanding of combination prevention dynamics in concentrated epidemics and high-income countries, it is difficult to translate or adapt the findings we do have from one country to another, particularly when the contexts are so different.

There have been few applications of systems thinking in HIV prevention, despite its potential contribution to understanding combination HIV prevention. Some emerging examples include the application of complex adaptive systems theory in initiatives like the “What Works and Why” project (www.w3project.org.au) in Australia that is looking at the behavioural and structural influence of community-led programmes, the application of continuous adaptation and quality improvement in initiatives like European Quality Action (www.qualityaction.eu) in Germany and the structural intervention modelling focus of projects like STRIVE (strive.lshtm.ac.uk) in the United Kingdom. Drawing on systems science to understand combination prevention as a complex system may be an approach to bring clarity to the relationships between independent HIV interventions.

Partnership

Evaluating combination prevention as a complex system, however, significantly increases the challenge for research and evaluation. These are not limited to debates about epistemology and methodology. The challenge is equally, perhaps mostly, about political and policy courage to invest in a range of approaches, engagement with long-term emergent outcomes and the sharing of real time evaluation and strategic insights to guide ongoing adaptation. When evidence is focused on interventions in isolation, it can discourage and weaken the motivation for partnerships across agencies and encourage research to search for the single most effective intervention or the one most easy to measure. For example, achieving synergy between strategies on PrEP in a clinic and in the community may enhance the impact of both. However, evaluating these strategies in isolation where impact needs to be attributed to a single intervention can undermine a collaborative and synergistic approach.

Although building evidence is critical to understanding a complex system, such evidence will not automatically be shared or translated into policy and practice. This requires sharing and synthesising of evidence from many sources, as well the capacity and policy environment to take action when evidence is limited [7]. These approaches require not only significant investment of funds, but significant investment in partnership across disciplines, organizations and funding mechanisms. Implementing and evaluating combination prevention with a systems perspective will require cooperation among community organizations, health services, public health, law enforcement, researchers and clinicians – something the HIV response has previously achieved [7].

Conclusions

Despite the increasing complexity in the HIV landscape and calls for intervention research to broaden its view, there is as yet little evidence of a substantial change in the focus of intervention research. The evidence to guide combination HIV prevention needs to move beyond measuring effects of interventions in isolation and incorporate methods that focus on the interactions between interventions, contexts and the emergent effects of systems that are not visible when viewing only its individual components. We need to understand how to ensure the quality and effectiveness of each intervention is mutually reinforcing, and how the combination should continuously adapt to changes in behavioural, biomedical and structural contexts.

Systems approaches may provide the expanded vocabulary for describing these complex non-linear interactions, relationships and emergent effects. However, this will also require a major investment in partnerships and commitment to openness. If we rely exclusively on the current dominant approaches and focus of intervention research and evidence, we will be guiding combined prevention programmes through the narrow lens of programmes in isolation, and missing the system-level synergies. Given the challenges in sustaining public health and HIV prevention investment, meeting the bold UNAIDS targets that have been set is likely to be highly dependent on achieving system-level synergies.

Acknowledgements and funding

This paper was supported by funding from the Australian Government Commonwealth Department of Health

Competing interests

The authors have no competing interests to declare.

Authors' contributions

All authors substantially contributed to the conception and drafting of the work for important intellectual content. All authors have read and approved the final manuscript.

References

  • 1.UNAIDS. 90-90-90 an ambitious treatment target to help end the AIDS epidemic. Geneva: Joint United Nations Programme on HIV/AIDS (UNAIDS); 2014. Report No.: UNAIDS/JC2684. [Google Scholar]
  • 2.Australian Government. Seventh National HIV Strategy 2014–2017. Canberra: Commonwealth Government of Australia, Department of Health; 2014. [Google Scholar]
  • 3.Cohen M, Chen Y, McCauley M, Gamble T, Hosseinipour MC, Kumarasamy N, et al. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med. 2011;365(6):493–505. doi: 10.1056/NEJMoa1105243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Roger A, Bruun T, Cambiano V, Vernazza p, Estrada V, Van Lunzen J, et al. HIV transmission risk through condomless sex if HIV+ partner on suppressive ART: PARTNER study. Conference on Retroviruses and Opportunistic Infections; March 3–6, 2014; Boston. Abstract 153LB. [Google Scholar]
  • 5.Cremin I, Alsallaq R, Dybul M, Piot P, Garnett G, Hallett TB. The new role of antiretrovirals in combination HIV prevention: a mathematical modelling analysis. AIDS. 2013;27(3):447–58. doi: 10.1097/QAD.0b013e32835ca2dd. doi: http://dx.doi.org/10.1097/QAD.0b013e32835ca2dd. [DOI] [PubMed] [Google Scholar]
  • 6.Cohen J. Doubts dispelled about HIV prevention. Science. 2015;347(6226):1055–6. doi: 10.1126/science.347.6226.1055. [DOI] [PubMed] [Google Scholar]
  • 7.Brown G, O'Donnell D, Crooks L, Lake R. Mobilisation, politics, investment and constant adaptation: Lessons from the Australian health-promotion response to HIV. Health Promot J Aust. 2014;25:35–41. doi: 10.1071/HE13078. [DOI] [PubMed] [Google Scholar]
  • 8.MacCarthy S, Hoffmann M, Ferguson L, Nunn A, Irvin R, Bangsberg D, et al. The HIV care cascade: models, measures and moving forward. J Int AIDS Soc. 2015;18(1):19395. doi: 10.7448/IAS.18.1.19395. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Gupta GR, Parkhurst JO, Ogden JA, Aggleton P, Mahal A. Structural approaches to HIV prevention. Lancet. 2008;372(9640):764–75. doi: 10.1016/S0140-6736(08)60887-9. [DOI] [PubMed] [Google Scholar]
  • 10.Coates TJ, Richter L, Caceres C. Behavioural strategies to reduce HIV transmission: how to make them work better. Lancet. 2008;372(9639):669–84. doi: 10.1016/S0140-6736(08)60886-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Hankins C, de Zalduondo B. Combination prevention: a deeper understanding of effective HIV prevention. AIDS. 2010;24(Suppl 4):S70–80. doi: 10.1097/01.aids.0000390709.04255.fd. [DOI] [PubMed] [Google Scholar]
  • 12.Piot P, Bartos M, Larson H, Zewdie D, Mane P. Coming to terms with complexity: a call to action for HIV prevention. Lancet. 2008;372(9641):845–59. doi: 10.1016/S0140-6736(08)60888-0. [DOI] [PubMed] [Google Scholar]
  • 13.UNAIDS. Combination HIV prevention: tailoring and coordinating biomedical, behavioural and structural strategies to reduce new HIV infections: a UNAIDS discussion paper. Geneva, Switzerland: UNAIDS; 2010. [Google Scholar]
  • 14.Blankenship K, Friedman S, Dworkin S, Mantell J. Structural interventions: concepts, challenges and opportunities for research. J Urban Health. 2006;83(1):59–72. doi: 10.1007/s11524-005-9007-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.WHO . Ottawa charter for health promotion. Geneva: World Health Organization; 1986. WHO/HPR/HEP/95.1. [Google Scholar]
  • 16.Brown G, Johnston K, Ellard J, Carman M. Evidence synthesis and application for policy and practice project full report. Melbourne: Australian Research Centre in Sex, Health and Society, La Trobe University; 2013. [Google Scholar]
  • 17.Arkey H, O'Melley L. Scoping studies: towards a methodological framework. Int J Soc Res Meth. 2005;8(1):19–32. [Google Scholar]
  • 18.Adam B. Epistemic fault lines in biomedical and social approaches to HIV prevention. J Int AIDS Soc. 2011;14(Suppl 2):S2. doi: 10.1186/1758-2652-14-S2-S2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Auerbach JD, Parkhurst JO, Caceres CF, Keller KE. Addressing social drivers of HIV/AIDS: some conceptual, methodological, and evidentiary considerations. Global Publ Health. 2009;2031:550–70. [Google Scholar]
  • 20.Holtgrave DR, Curran JW. What works and what remains to be done, in HIV prevention in the United States. Annu Rev Public Health. 2006;27:261–75. doi: 10.1146/annurev.publhealth.26.021304.144454. [DOI] [PubMed] [Google Scholar]
  • 21.Downing J, Jones L, Cook P, Bellis M. HIV prevention: a review of reviews assessing the effectiveness of interventions to reduce the risk of sexual transmission. Liverpool, UK: John Moores University; 2006. [Google Scholar]
  • 22.Anstee S, Price A, Young A, Barnard K, Coates B, Fraser S, et al. Developing a matrix to identify and prioritise research recommendations in HIV Prevention. BMC Public Health. 2011;11(1):381. doi: 10.1186/1471-2458-11-381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Laga M, Rugg D, Peersman G, Ainsworth M. Evaluating HIV prevention effectiveness: the perfect as the enemy of the good. AIDS. 2012;26(7):779–83. doi: 10.1097/QAD.0b013e328351e7fb. [DOI] [PubMed] [Google Scholar]
  • 24.Charlebois E, Lippman SA, Binson D, Dufour M-SK, Neilands T, Shade S, et al. Proceedings of the National Roundtable on Evaluation of Multilevel/Combination HIV Prevention Interventions; Centre for AIDS Prevention Studies (CAPS) San Francisco: University of California; 2012. May, [cited 2013 April 7]. Avilable from: http://chipts.ucla.edu/wp-content/uploads/downloads/2013/02/National-Roundtable-Summary.pdf. [Google Scholar]
  • 25.Higa D, Crepaz N, Marshall K, Kay L, Vosburgh HW, Spikes P, et al. A systematic review to identify challenges of demonstrating efficacy of HIV behavioral interventions for gay, bisexual, and other men who have sex with men (MSM) AIDS Behav. 2013;17:1231–44. doi: 10.1007/s10461-013-0418-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Sengupta S, Banks B, Sheps CG, Jonas D, Miles MS, Smith GC. HIV interventions to reduce HIV/AIDS stigma: a systematic review. AIDS Behav. 2011;15(6):1075–87. doi: 10.1007/s10461-010-9847-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Nababan H, Ota E, Wariki Windy MV, Koyanagi A, Ezoe S, Shibuya K, et al. Structural and community-level interventions for increasing condom use to prevent HIV and other sexually transmitted infections. Cochrane Database of Systematic Reviews [Internet] 2011. (11) [cited 2013 August 10]. Available from: http://www.mrw.interscience.wiley.com/cochrane/clsysrev/articles/CD003363/frame.html. [DOI] [PMC free article] [PubMed]
  • 28.Hook E, Milan J. External peer review of Division of HIV/AIDS Prevention's HIV prevention activities: final report, findings and recommendations. Atlanta, GA: Centers for Disease Control and Prevention, Prevention DoHA; 2009. [Google Scholar]
  • 29.Padian N, McCoy S, Karim S, Hansen N, Kim J, Bartos M, et al. HIV prevention transformed: the new prevention research agenda. Lancet. 2011;378:269–78. doi: 10.1016/S0140-6736(11)60877-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Kippax S, Holt M, Friedman S. Bridging the social and the biomedical: engaging the social and political sciences in HIV research. J Int AIDS Soc. 2011;14(Suppl 2):S1. doi: 10.1186/1758-2652-14-S2-S1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Schwartländer B, Stover J, Hallett T, Atun R, Avila C, Gouws E, et al. Towards an improved investment approach for an effective response to HIV/AIDS. Lancet. 2011;377(9782):2031–41. doi: 10.1016/S0140-6736(11)60702-2. [DOI] [PubMed] [Google Scholar]
  • 32.Phillips AF, Pirkle CM. Moving beyond behaviour: advancing HIV risk prevention epistemologies and interventions (A report on the state of the literature) Global Public Health. 2011;6(6):577–92. doi: 10.1080/17441692.2011.584325. [DOI] [PubMed] [Google Scholar]
  • 33.Auerbach JD, Parkhurst JO, Caceres CF, Keller KE. Addressing social drivers of HIV/AIDS: some conceptual, methodological, and evidentiary considerations. Worcester, Massachusetts: Clark University; 2010. aids2031 Social Drivers Working Group. [Google Scholar]
  • 34.Rotheram-Borus M, Swendeman D, Chovnick G. The past, present, and future of HIV prevention: integrating behavioural, biomedical and structural intervention strategies for the next generation of HIV prevention. Annu Rev Clin Psychol. 2009;5:143–67. doi: 10.1146/annurev.clinpsy.032408.153530. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Luke DA, Stamatakis KA. Systems science methods in public health: dynamics, networks, and agents. Annu Rev Public Health. 2012;33:357–76. doi: 10.1146/annurev-publhealth-031210-101222. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Auerbach JD, Hoppe TA. Beyond “getting drugs into bodies”: social science perspectives on pre-exposure prophylaxis for HIV. J Int AIDS Soc. 2015;18(4 Suppl 3):19983. doi: 10.7448/IAS.18.4.19983. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Cáceres CF, Koechlin F, Goicochea P, Sow P-S, Reilly KR, Mayer KH, et al. The promises and challenges of pre-exposure prophylaxis as part of the emerging paradigm of combination HIV prevention. J Int AIDS Soc. 2015;18(Suppl 3):19949. doi: 10.7448/IAS.18.4.19949. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Barash EA, Golden M. Awareness and use of HIV pre-exposure prophylaxis among attendees of a seattle gay pride event and sexually transmitted disease clinic. AIDS Patient Care STDs. 2010;24(11):689–91. doi: 10.1089/apc.2010.0173. [DOI] [PubMed] [Google Scholar]
  • 39.Zablotska IB, Prestage G, de Wit J, Grulich AE, Mao L, Holt M. The informal use of antiretrovirals for preexposure prophylaxis of HIV infection among gay men in Australia. J Acquir Immune Defic Syndr. 2013;62(3):334–8. doi: 10.1097/QAI.0b013e31827e854a. [DOI] [PubMed] [Google Scholar]
  • 40.Gortmaker SL, Swinburn BA, Levy D, Carter R, Mabry PL, Finegood DT, et al. Changing the future of obesity: science, policy, and action. Lancet. 2011;378(9793):838–47. doi: 10.1016/S0140-6736(11)60815-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Johnston LM, Matteson CL, Finegood DT. Systems science and obesity policy: a novel framework for analyzing and rethinking population-level planning. Am J Public Health. 2014;104(7):1270–8. doi: 10.2105/AJPH.2014.301884. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Roberto CA, Swinburn B, Hawkes C, Huang TTK, Costa SA, Ashe M, et al. Patchy progress on obesity prevention: emerging examples, entrenched barriers, and new thinking. Lancet. 2015;385(9985):2400–9. doi: 10.1016/S0140-6736(14)61744-X. [DOI] [PubMed] [Google Scholar]
  • 43.Skinner AC, Foster EM. Systems science and childhood obesity: a systematic review and new directions. J Obes. 2013;2013:129193. doi: 10.1155/2013/129193. doi: http://dx.doi.org/10.1155/2013/129193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Leischow SJ, Best A, Trochim WM, Clark PI, Gallagher RS, Marcus SE, et al. Systems thinking to improve the public's health. Am J Prev Med. 2008;35(2):S196–203. doi: 10.1016/j.amepre.2008.05.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Walton M. Applying complexity theory: a review to inform evaluation design. Eval Program Plann. 2014;45:119–26. doi: 10.1016/j.evalprogplan.2014.04.002. [DOI] [PubMed] [Google Scholar]
  • 46.Mabry PL, Kaplan RM. Systems science: a good investment for the public's health. Health Educ Behav. 2013;40(1 Suppl):9S–12S. doi: 10.1177/1090198113503469. [DOI] [PubMed] [Google Scholar]
  • 47.Midgley G, editor. Systems thinking. Thousand Oaks, CA: Sage; 2003. [Google Scholar]
  • 48.Chang LW, Kagaayi J, Arem H, Nakigozi G, Ssempijja V, Serwadda D, et al. Impact of a mHealth intervention for peer health workers on AIDS care in Rural Uganda: a mixed methods evaluation of a cluster-randomized trial. AIDS Behav. 2011;15:1776–84. doi: 10.1007/s10461-011-9995-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Wagman JA, Gray RH, Campbell JC, Thoma M, Ndyanabo A, Ssekasanvu J, et al. Effectiveness of an integrated intimate partner violence and HIV prevention intervention in Rakai, Uganda: analysis of an intervention in an existing cluster randomised cohort. Lancet Glob Health. 2015;3(1):e23–33. doi: 10.1016/S2214-109X(14)70344-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Vermund SH, Fidler SJ, Ayles H, Beyers N, Hayes RJ, Team HS. Can combination prevention strategies reduce HIV transmission in generalized epidemic settings in Africa? The HPTN 071 (PopART) study plan in South Africa and Zambia. J Acquire Immune Defic Syndr. 2013;63(Suppl 2):S221–S7. doi: 10.1097/QAI.0b013e318299c3f4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Kerrigan D, Kennedy CE, Cheng AS, Sandison SJ, Fonner VA, Holtgrave DR, et al. Advancing the strategic use of HIV operations research to strengthen local policies and programmes: the research to prevention project. J Int AIDS Soc. 2015;18(1):20029. doi: 10.7448/IAS.18.1.20029. [DOI] [PMC free article] [PubMed] [Google Scholar]

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