Evidence map›Paper›PMID 26821952›Full record

ArticleSAHARA J : journal of Social Aspects of HIV/AIDS Research Alliance2016

Weak signal detection: A discrete window of opportunity for achieving 'Vision 90:90:90'?

Christopher J Burman, Marota Aphane, Peter Delobelle

Abstract read
In one paragraph

Article in SAHARA J : journal of Social Aspects of HIV/AIDS Research Alliance, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Contemporary HIV/AIDS research: Insights from knowledge management theory.SAHARA J : journal of Social Aspects of HIV/AIDS Research Alliance · 2017
    Review
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

3 authors.

Christopher J Burmana PhD, is affiliated to Rural Development and Innovation Hub , University of Limpopo , Turfloop Campus, Polokwane , South Africa.
Marota Aphaneb Masters in Development, is affiliated to Rural Development and Innovation Hub , University of Limpopo , Turfloop Campus, Polokwane , South Africa.
Peter Delobellec MD, PhD is affiliated to School of Public Health , University of the Western Cape , Robert Sobukwe Road, Belville , Cape Town 7535 , South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUNAIDS' Vision 90:90:90 is a call to 'end AIDS'. Developing predictive foresight of the unpredictable changes that this journey will entail could contribute to the ambition of 'ending AIDS'. There are few opportunities for managing unpredictable changes. We introduce 'weak signal detection' as a potential opportunity to fill this void.

methodCombining futures and complexity theory, we reflect on two pilot case studies that involved the Archetype Extraction technique and the SenseMaker(®) Collector(™) tool.

resultsBoth the piloted techniques have the potentials to surface weak signals--but there is room for improvement. DISCUSSION: A management response to a complex weak signal requires pattern management, rather than an exclusive focus on behaviour management.

conclusionWeak signal detection is a window of opportunity to improve resilience to unpredictable changes in the HIV/AIDS landscape that can both reduce the risk that emerges from the changes and increase the visibility of opportunities to exploit the unpredictable changes that could contribute to 'ending AIDS'.

Indexed as

Community NetworksCommunity Health ServicesEvidence-Based PracticeHealth PromotionHIV InfectionsHumansModels, TheoreticalOrganizational InnovationPilot ProjectsSouth Africaautopoiesiscomplexity theoryCynefin frameworkfutures scienceHIV/AIDSsciences des futuresthéorie de la complexitéVIH/SIDA

Identifiers

PMID26821952
PMCPMC5642432

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Registered trials

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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.