Evidence map›Paper›PMID 34695112›Full record

ArticlePLoS medicine2021

Evaluating the impact of DREAMS on HIV incidence among adolescent girls and young women: A population-based cohort study in Kenya and South Africa.

Isolde Birdthistle, Daniel Kwaro, Maryam Shahmanesh, Kathy Baisley, Sammy Khagayi, Natsayi Chimbindi, Vivienne Kamire, Nondumiso Mthiyane, Annabelle Gourlay, Jaco Dreyer and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 9% of its field
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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

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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

13 authors at 4 institutions in 3 countries.

Isolde BirdthistleFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0001-5742-6588
Daniel KwaroCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.ORCID 0000-0002-0929-8072
Maryam ShahmaneshAfrica Health Research Institute, Mtubatuba, KwaZulu-Natal, South Africa.ORCID 0000-0001-7129-8535
Kathy BaisleyFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0003-1849-6625
Sammy KhagayiCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Natsayi ChimbindiAfrica Health Research Institute, Mtubatuba, KwaZulu-Natal, South Africa.
Vivienne KamireCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
Nondumiso MthiyaneAfrica Health Research Institute, Mtubatuba, KwaZulu-Natal, South Africa.
Annabelle GourlayFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0003-4387-1925
Jaco DreyerAfrica Health Research Institute, Mtubatuba, KwaZulu-Natal, South Africa.ORCID 0000-0002-9966-5744
Penelope Phillips-HowardDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.ORCID 0000-0003-1018-116X
Judith GlynnFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0001-9325-4576
Sian FloydFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-8615-7601
London School of Hygiene & Tropical Medicine · GBAfrica Health Research Institute · ZAKenya Medical Research Institute · KELiverpool School of Tropical Medicine · GB

Funding

Medical Research Council MR/N006046/1Medical Research Council MR/R010161/1Wellcome TrustWellcome Trust 082384/Z/07/ZWellcome Trust 201433/Z/16/Z
6 · The paper itself

Abstract

backgroundThrough a multisectoral approach, the DREAMS Partnership aimed to reduce HIV incidence among adolescent girls and young women (AGYW) by 40% over 2 years in high-burden districts across sub-Saharan Africa. DREAMS promotes a combination package of evidence-based interventions to reduce individual, family, partner, and community-based drivers of young women's heightened HIV risk. We evaluated the impact of DREAMS on HIV incidence among AGYW and young men in 2 settings. METHODS AND

findingsWe directly estimated HIV incidence rates among open population-based cohorts participating in demographic and HIV serological surveys from 2006 to 2018 annually in uMkhanyakude (KwaZulu-Natal, South Africa) and over 6 rounds from 2010 to 2019 in Gem (Siaya, Kenya). We compared HIV incidence among AGYW aged 15 to 24 years before DREAMS and up to 3 years after DREAMS implementation began in 2016. We investigated the timing of any change in HIV incidence and whether the rate of any change accelerated during DREAMS implementation. Comparable analyses were also conducted for young men (20 to 29/34 years). In uMkhanyakude, between 5,000 and 6,000 AGYW were eligible for the serological survey each year, an average of 85% were contacted, and consent rates varied from 37% to 67%. During 26,395 person-years (py), HIV incidence was lower during DREAMS implementation (2016 to 2018) than in the previous 5-year period among 15- to 19-year-old females (4.5 new infections per 100 py as compared with 2.8; age-adjusted rate ratio (aRR) = 0.62, 95% confidence interval [CI] 0.48 to 0.82), and lower among 20- to 24-year-olds (7.1/100 py as compared with 5.8; aRR = 0.82, 95% CI 0.65 to 1.04). Declines preceded DREAMS introduction, beginning from 2012 to 2013 among the younger and 2014 for the older women, with no evidence of more rapid decline during DREAMS implementation. In Gem, between 8,515 and 11,428 AGYW were eligible each survey round, an average of 34% were contacted and offered an HIV test, and consent rates ranged from 84% to 99%. During 10,382 py, declines in HIV incidence among 15- to 19-year-olds began before DREAMS and did not change after DREAMS introduction. Among 20- to 24-year-olds in Gem, HIV incidence estimates were lower during DREAMS implementation (0.64/100 py) compared with the pre-DREAMS period (0.94/100 py), with no statistical evidence of a decline (aRR = 0.69, 95% CI 0.53 to 2.18). Among young men, declines in HIV incidence were greater than those observed among AGYW and also began prior to DREAMS investments. Study limitations include low study power in Kenya and the introduction of other interventions such as universal treatment for HIV during the study period.

conclusionsSubstantial declines in HIV incidence among AGYW were observed, but most began before DREAMS introduction and did not accelerate in the first 3 years of DREAMS implementation. Like the declines observed among young men, they are likely driven by earlier and ongoing investments in HIV testing and treatment. Longer-term implementation and evaluation are needed to assess the impact of such a complex HIV prevention intervention and to help accelerate reductions in HIV incidence among young women.

Indexed as

HIV InfectionsSexual BehaviorAdolescentAdultCohort StudiesFemaleHumansIncidenceKenyaMaleSouth AfricaYoung Adult

Identifiers

PMID34695112
PMCPMC8880902
OpenAlexW3210349197

What OpenQuestion holds

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LicenceCC BY
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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.