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

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 progra...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030044/
https://www.ncbi.nlm.nih.gov/pubmed/36943831
http://dx.doi.org/10.1371/journal.pmed.1004169
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author 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.
author_facet 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.
author_sort Wagner, Anjuli D.
collection PubMed
description 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.
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spelling pubmed-100300442023-03-22 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. PLoS Med Research Article 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. Public Library of Science 2023-03-21 /pmc/articles/PMC10030044/ /pubmed/36943831 http://dx.doi.org/10.1371/journal.pmed.1004169 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
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.
Demand creation for HIV testing services: A systematic review and meta-analysis
title Demand creation for HIV testing services: A systematic review and meta-analysis
title_full Demand creation for HIV testing services: A systematic review and meta-analysis
title_fullStr Demand creation for HIV testing services: A systematic review and meta-analysis
title_full_unstemmed Demand creation for HIV testing services: A systematic review and meta-analysis
title_short Demand creation for HIV testing services: A systematic review and meta-analysis
title_sort demand creation for hiv testing services: a systematic review and meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030044/
https://www.ncbi.nlm.nih.gov/pubmed/36943831
http://dx.doi.org/10.1371/journal.pmed.1004169
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