Evidence map›Paper›PMID 36943831›Full record

SynthesisPLoS medicine2023

Demand creation for HIV testing services: A systematic review and meta-analysis.

Anjuli D Wagner, Irene N Njuguna, Jillian Neary, Kendall A Lawley, Diana K N Louden, Ruchi Tiwari, Wenwen Jiang, Ngozi Kalu, Rachael M Burke, Dorothy Mangale and 13 more

Open access · goldFull text readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PLoS medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 16 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

23 authors at 8 institutions in 7 countries.

Anjuli D WagnerDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-5851-1220
Irene N NjugunaDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0003-4250-3231
Jillian NearyDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0003-1166-0760
Kendall A LawleyDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America.
Diana K N LoudenUniversity Libraries, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-6161-5557
Ruchi TiwariDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-5251-7250
Wenwen JiangDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-0579-9443
Ngozi KaluDepartment of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0001-6531-4017
Rachael M BurkeClinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-2156-5030
Dorothy MangaleDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0003-1264-405X
Chris ObermeyerThe Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland.ORCID 0000-0002-2550-1333
Jaclyn N EscuderoDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-3513-774X
Michelle A BulterysDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0001-9403-5084
Chloe WatersStatistical Center for HIV/AIDS Research and Prevention, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.
Bastien MolloInfectious and Tropical Diseases Department, Bichat-Claude Bernard Hospital, AP-HP, Paris, France.ORCID 0000-0002-9671-7553
Hannah HanDepartment of Epidemiology, University of Washington, Seattle, Washington, United States of America.
Magdalena Barr-DiChiaraGlobal HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland.ORCID 0000-0002-7404-7843
Rachel BaggaleyGlobal HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland.
Muhammad S JamilGlobal HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland.ORCID 0000-0001-9637-7838
Purvi ShahGlobal HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland.ORCID 0000-0003-1560-3202
Vincent J WongUSAID, Division of HIV Prevention, Care and Treatment, Office of HIV/AIDS, Washington DC, United States of America.ORCID 0000-0001-6926-9401
Alison L DrakeDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-4178-7706
Cheryl C JohnsonGlobal HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland.ORCID 0000-0001-5499-5523
University of Washington · USWorld Health Organization · CHAIDS United · USFred Hutch Cancer Center · USGlobal Fund to Fight AIDS, Tuberculosis and Malaria · CHLondon School of Hygiene & Tropical Medicine · GBUniversité Claude Bernard Lyon 1 · FRUniversity of Liverpool · GB

Funding

VENEREAL DISEASET32AI007140 · NIAID · UNIVERSITY OF WASHINGTON · PI Julia Cook Dombrowski · 1985 to 2026
$19.4M
University of Washington Developmental AIDS Research Center for Mental Health (UW ARCH)P30MH123248 · NIMH · UNIVERSITY OF WASHINGTON · PI GRAHAM, SUSAN MARIE · 2021 to 2024
$5.8M
NIAID NIH HHS T32 AI007140NIMH NIH HHS P30 MH123248World Health Organization 001
6 · The paper itself

Abstract

backgroundHIV testing services (HTS) are the first steps in reaching the UNAIDS 95-95-95 goals to achieve and maintain low HIV incidence. Evaluating the effectiveness of different demand creation interventions to increase uptake of efficient and effective HTS is useful to prioritize limited programmatic resources. This review was undertaken to inform World Health Organization (WHO) 2019 HIV testing guidelines and assessed the research question, "Which demand creation strategies are effective for enhancing uptake of HTS?" focused on populations globally. METHODS AND

findingsThe following electronic databases were searched through September 28, 2021: PubMed, PsycInfo, Cochrane CENTRAL, CINAHL Complete, Web of Science Core Collection, EMBASE, and Global Health Database; we searched IAS and AIDS conferences. We systematically searched for randomized controlled trials (RCTs) that compared any demand creation intervention (incentives, mobilization, counseling, tailoring, and digital interventions) to either a control or other demand creation intervention and reported HTS uptake. We pooled trials to evaluate categories of demand creation interventions using random-effects models for meta-analysis and assessed study quality with Cochrane's risk of bias 1 tool. This study was funded by the WHO and registered in Prospero with ID CRD42022296947. We screened 10,583 records and 507 conference abstracts, reviewed 952 full texts, and included 124 RCTs for data extraction. The majority of studies were from the African (N = 53) and Americas (N = 54) regions. We found that mobilization (relative risk [RR]: 2.01, 95% confidence interval [CI]: [1.30, 3.09], p < 0.05; risk difference [RD]: 0.29, 95% CI [0.16, 0.43], p < 0.05, N = 4 RCTs), couple-oriented counseling (RR: 1.98, 95% CI [1.02, 3.86], p < 0.05; RD: 0.12, 95% CI [0.03, 0.21], p < 0.05, N = 4 RCTs), peer-led interventions (RR: 1.57, 95% CI [1.15, 2.15], p < 0.05; RD: 0.18, 95% CI [0.06, 0.31], p < 0.05, N = 10 RCTs), motivation-oriented counseling (RR: 1.53, 95% CI [1.07, 2.20], p < 0.05; RD: 0.17, 95% CI [0.00, 0.34], p < 0.05, N = 4 RCTs), short message service (SMS) (RR: 1.53, 95% CI [1.09, 2.16], p < 0.05; RD: 0.11, 95% CI [0.03, 0.19], p < 0.05, N = 5 RCTs), and conditional fixed value incentives (RR: 1.52, 95% CI [1.21, 1.91], p < 0.05; RD: 0.15, 95% CI [0.07, 0.22], p < 0.05, N = 11 RCTs) all significantly and importantly (≥50% relative increase) increased HTS uptake and had medium risk of bias. Lottery-based incentives and audio-based interventions less importantly (25% to 49% increase) but not significantly increased HTS uptake (medium risk of bias). Personal invitation letters and personalized message content significantly but not importantly (<25% increase) increased HTS uptake (medium risk of bias). Reduced duration counseling had comparable performance to standard duration counseling (low risk of bias) and video-based interventions were comparable or better than in-person counseling (medium risk of bias). Heterogeneity of effect among pooled studies was high. This study was limited in that we restricted to randomized trials, which may be systematically less readily available for key populations; additionally, we compare only pooled estimates for interventions with multiple studies rather than single study estimates, and there was evidence of publication bias for several interventions.

conclusionsMobilization, couple- and motivation-oriented counseling, peer-led interventions, conditional fixed value incentives, and SMS are high-impact demand creation interventions and should be prioritized for programmatic consideration. Reduced duration counseling and video-based interventions are an efficient and effective alternative to address staffing shortages. Investment in demand creation activities should prioritize those with undiagnosed HIV or ongoing HIV exposure. Selection of demand creation interventions must consider risks and benefits, context-specific factors, feasibility and sustainability, country ownership, and universal health coverage across disease areas.

Indexed as

HIV InfectionsAmericasHIV TestingHumans

Identifiers

PMID36943831
PMCPMC10030044
OpenAlexW4328049174

What OpenQuestion holds

Textfull text, public
LicenceCC0
reference markers read1
measurements read582
identifiers read8
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.