Brief Report: Active HIV Case Finding in the City of Kigali, Rwanda: Assessment of Voluntary Assisted Partner Notification Modalities to Detect Undiagnosed HIV Infections.


Journal

Journal of acquired immune deficiency syndromes (1999)
ISSN: 1944-7884
Titre abrégé: J Acquir Immune Defic Syndr
Pays: United States
ID NLM: 100892005

Informations de publication

Date de publication:
01 04 2022
Historique:
received: 09 07 2021
accepted: 15 11 2021
entrez: 24 2 2022
pubmed: 25 2 2022
medline: 9 3 2022
Statut: ppublish

Résumé

Voluntary assisted partner notification (VAPN) services that use contract, provider, or dual referral modalities may be efficient to identify individuals with undiagnosed HIV infection. We aimed to assess the relative effectiveness of VAPN modalities in identifying undiagnosed HIV infections. VAPN was piloted in 23 health facilities in Kigali, Rwanda. We identified individuals with a new HIV diagnosis before antiretroviral therapy initiation or individuals on antiretroviral therapy (index cases), who reported having had sexual partners with unknown HIV status, to assess the association between referral modalities and the odds of identifying HIV-positive partners using a Bayesian hierarchical logistic regression model. We adjusted our model for important factors identified through a Bayesian variable selection. Between October 2018 and December 2019, 6336 index cases were recruited, leading to the testing of 7690 partners. HIV positivity rate was 7.1% (546/7690). We found no association between the different referral modalities and the odds of identifying HIV-positive partners. Notified partners of male individuals (adjusted odds ratio 1.84; 95% credible interval: 1.50 to 2.28) and index cases with a new HIV diagnosis (adjusted odds ratio 1.82; 95% credible interval: 1.45 to 2.30) were more likely to be infected with HIV. All 3 VAPN modalities were comparable in identifying partners with HIV. Male individuals and newly diagnosed index cases were more likely to have partners with HIV. HIV-positive yield from index testing was higher than the national average and should be scaled up to reach the first UNAIDS-95 target by 2030.

Sections du résumé

BACKGROUND
Voluntary assisted partner notification (VAPN) services that use contract, provider, or dual referral modalities may be efficient to identify individuals with undiagnosed HIV infection. We aimed to assess the relative effectiveness of VAPN modalities in identifying undiagnosed HIV infections.
SETTING
VAPN was piloted in 23 health facilities in Kigali, Rwanda.
METHODS
We identified individuals with a new HIV diagnosis before antiretroviral therapy initiation or individuals on antiretroviral therapy (index cases), who reported having had sexual partners with unknown HIV status, to assess the association between referral modalities and the odds of identifying HIV-positive partners using a Bayesian hierarchical logistic regression model. We adjusted our model for important factors identified through a Bayesian variable selection.
RESULTS
Between October 2018 and December 2019, 6336 index cases were recruited, leading to the testing of 7690 partners. HIV positivity rate was 7.1% (546/7690). We found no association between the different referral modalities and the odds of identifying HIV-positive partners. Notified partners of male individuals (adjusted odds ratio 1.84; 95% credible interval: 1.50 to 2.28) and index cases with a new HIV diagnosis (adjusted odds ratio 1.82; 95% credible interval: 1.45 to 2.30) were more likely to be infected with HIV.
CONCLUSION
All 3 VAPN modalities were comparable in identifying partners with HIV. Male individuals and newly diagnosed index cases were more likely to have partners with HIV. HIV-positive yield from index testing was higher than the national average and should be scaled up to reach the first UNAIDS-95 target by 2030.

Identifiants

pubmed: 35202049
doi: 10.1097/QAI.0000000000002878
pii: 00126334-202204010-00009
pmc: PMC8860213
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

423-427

Informations de copyright

Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.

Déclaration de conflit d'intérêts

The authors have no conflicts of interest to disclose.

Références

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Auteurs

Eric Remera (E)

Institute of HIV Disease Prevention and Control, Rwanda Biomedical Centre, Kigali, Rwanda.
Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
University of Basel, Faculty of Science, Basel- Switzerland.
Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.

Sabin Nsanzimana (S)

Institute of HIV Disease Prevention and Control, Rwanda Biomedical Centre, Kigali, Rwanda.

Frédérique Chammartin (F)

Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
University of Basel, Faculty of Science, Basel- Switzerland.

Muhammed Semakula (M)

Institute of HIV Disease Prevention and Control, Rwanda Biomedical Centre, Kigali, Rwanda.
I-BioStat, Hasselt University, Hasselt, Belgium.

Gallican N Rwibasira (GN)

Institute of HIV Disease Prevention and Control, Rwanda Biomedical Centre, Kigali, Rwanda.

Samuel S Malamba (SS)

Uganda Virus Research Institute (UVRI), Entebbe, Uganda.

David J Riedel (DJ)

Division of Infectious Diseases, University of Maryland School of Medicine, Baltimore, MD.

Elysee Tuyishime (E)

African Center of Excellence in Data Science, University of Rwanda, Kigali, Rwanda.

Jeanine U Condo (JU)

School of Public Health, College of Medicine & Health Sciences, University of Rwanda, Kigali, Rwanda.
Tulane University, New Orleans, LA.

Patrick Ndimubanzi (P)

Ministry of Health, Human Resource for Health, Kigali, Rwanda.

Beata Sangwayire (B)

Institute of HIV Disease Prevention and Control, Rwanda Biomedical Centre, Kigali, Rwanda.

Jamie I Forrest (JI)

School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada ; and.

Sara L Cantoreggi (SL)

Institute of HIV Disease Prevention and Control, Rwanda Biomedical Centre, Kigali, Rwanda.
University of Basel, Faculty of Science, Basel- Switzerland.

Edward J Mills (EJ)

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada .

Heiner C Bucher (HC)

Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, Basel, Switzerland.
University of Basel, Faculty of Science, Basel- Switzerland.

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