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Demand creation for HIV testing services: A systematic review and meta-analysis.
Wagner, Anjuli D; Njuguna, Irene N; Neary, Jillian; Lawley, Kendall A; Louden, Diana K N; Tiwari, Ruchi; Jiang, Wenwen; Kalu, Ngozi; Burke, Rachael M; Mangale, Dorothy; Obermeyer, Chris; Escudero, Jaclyn N; Bulterys, Michelle A; Waters, Chloe; Mollo, Bastien; Han, Hannah; Barr-DiChiara, Magdalena; Baggaley, Rachel; Jamil, Muhammad S; Shah, Purvi; Wong, Vincent J; Drake, Alison L; Johnson, Cheryl C.
Affiliation
  • Wagner AD; Department of Global Health, University of Washington, Seattle, Washington, United States of America.
  • Njuguna IN; Department of Global Health, University of Washington, Seattle, Washington, United States of America.
  • Neary J; Research & Programs, Kenyatta National Hospital, Nairobi, Kenya.
  • Lawley KA; Department of Epidemiology, University of Washington, Seattle, Washington, United States of America.
  • Louden DKN; Department of Epidemiology, University of Washington, Seattle, Washington, United States of America.
  • Tiwari R; University Libraries, University of Washington, Seattle, Washington, United States of America.
  • Jiang W; Department of Global Health, University of Washington, Seattle, Washington, United States of America.
  • Kalu N; Department of Epidemiology, University of Washington, Seattle, Washington, United States of America.
  • Burke RM; Department of Infectious Diseases Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Mangale D; Clinical Research Department, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Obermeyer C; Malawi Liverpool Wellcome Clinical Research Programme, Blantyre, Malawi.
  • Escudero JN; Department of Global Health, University of Washington, Seattle, Washington, United States of America.
  • Bulterys MA; The Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland.
  • Waters C; Department of Global Health, University of Washington, Seattle, Washington, United States of America.
  • Mollo B; Department of Epidemiology, University of Washington, Seattle, Washington, United States of America.
  • Han H; Statistical Center for HIV/AIDS Research and Prevention, Fred Hutchinson Cancer Center, Seattle, Washington, United States of America.
  • Barr-DiChiara M; Infectious and Tropical Diseases Department, Bichat-Claude Bernard Hospital, AP-HP, Paris, France.
  • Baggaley R; Department of Epidemiology, University of Washington, Seattle, Washington, United States of America.
  • Jamil MS; Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland.
  • Shah P; Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland.
  • Wong VJ; Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland.
  • Drake AL; Global HIV, Hepatitis and STI Programmes, World Health Organization, Geneva, Switzerland.
  • Johnson CC; UNAIDS, Asia Pacific, Regional Support Team, Bangkok, Thailand.
PLoS Med ; 20(3): e1004169, 2023 03.
Article in En | MEDLINE | ID: mdl-36943831
ABSTRACT

BACKGROUND:

HIV 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

FINDINGS:

The 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.

CONCLUSIONS:

Mobilization, 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.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: HIV Infections Type of study: Clinical_trials / Diagnostic_studies / Etiology_studies / Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: PLoS Med Journal subject: MEDICINA Year: 2023 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: HIV Infections Type of study: Clinical_trials / Diagnostic_studies / Etiology_studies / Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: PLoS Med Journal subject: MEDICINA Year: 2023 Type: Article Affiliation country: United States