Evidence map›Paper›PMID 26673880›Full record

ArticleJournal of the International AIDS Society2015

Investigating combination HIV prevention: isolated interventions or complex system.

Graham Brown, Daniel Reeders, Gary W Dowsett, Jeanne Ellard, Marina Carman, Natalie Hendry, Jack Wallace

Abstract read
In one paragraph

Article in Journal of the International AIDS Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Tackling structural stigma: a systems perspective.Journal of the International AIDS Society · 2022
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Contextual drivers of HIV risk among young African women.Journal of the International AIDS Society · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Association Between Internalized HIV-Related Stigma and HIV Care Visit Adherence.Journal of acquired immune deficiency syndromes (1999) · 2017
    Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Graham BrownAustralian Research Centre in Sex, Health and Society, La Trobe University, Melbourne, Australia.
Daniel ReedersAustralian Research Centre in Sex, Health and Society, La Trobe University, Melbourne, Australia.
Gary W DowsettAustralian Research Centre in Sex, Health and Society, La Trobe University, Melbourne, Australia.
Jeanne EllardAustralian Research Centre in Sex, Health and Society, La Trobe University, Melbourne, Australia.
Marina CarmanAustralian Research Centre in Sex, Health and Society, La Trobe University, Melbourne, Australia.
Natalie HendryAustralian Research Centre in Sex, Health and Society, La Trobe University, Melbourne, Australia.
Jack WallaceAustralian Research Centre in Sex, Health and Society, La Trobe University, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTreatment 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.

conclusionsRelying 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.

Indexed as

Anti-HIV AgentsDrug Therapy, CombinationHIV InfectionsHumansPublic HealthAnti-HIV Agentscombination HIV preventioncomplex systemsevaluationevidenceintervention researchtreatment as prevention

Identifiers

PMID26673880
PMCPMC4680918

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.