[HTML][HTML] Historical visit attendance as predictor of treatment interruption in South African HIV patients: Extension of a validated machine learning model

RT Esra, J Carstens, J Estill, R Stoch… - PLOS Global Public …, 2023 - journals.plos.org
Retention of antiretroviral (ART) patients is a priority for achieving HIV epidemic control in
South Africa. While machine-learning methods are being increasingly utilised to identify high …

Machine learning to predict retention and viral suppression in South African HIV treatment cohorts

M Maskew, K Sharpey-Schafer, LD Voux, J Bor… - medRxiv, 2021 - medrxiv.org
Abstract Background To optimize South Africa's HIV response and reach PEPFAR's 95: 95:
95 targets require same day initiations and patients successfully remaining on antiretroviral …

[HTML][HTML] Applying machine learning and predictive modeling to retention and viral suppression in South African HIV treatment cohorts

M Maskew, K Sharpey-Schafer, L De Voux… - Scientific reports, 2022 - nature.com
HIV treatment programs face challenges in identifying patients at risk for loss-to-follow-up
and uncontrolled viremia. We applied predictive machine learning algorithms to …

[HTML][HTML] Machine learning with routine electronic medical record data to identify people at high risk of disengagement from HIV care in Tanzania

CA Fahey, L Wei, PF Njau, S Shabani… - PLOS Global Public …, 2022 - journals.plos.org
Machine learning methods for health care delivery optimization have the potential to
improve retention in HIV care, a critical target of global efforts to end the epidemic. However …

[HTML][HTML] Retention in care and connection to care among HIV-infected patients on antiretroviral therapy in Africa: estimation via a sampling-based approach

EH Geng, DV Glidden, MB Bwana, N Musinguzi… - PloS one, 2011 - journals.plos.org
Introduction Current estimates of retention among HIV-infected patients on antiretroviral
therapy (ART) in Africa consider patients who are lost to follow-up (LTF) as well as those …

Correction of estimates of retention in care among a cohort of HIV-positive patients in Uganda in the period before starting ART: a sampling-based approach

P Nyakato, AN Kiragga, A Kambugu, J Bradley… - BMJ open, 2018 - bmjopen.bmj.com
Objective The aim of this study was to use a sampling-based approach to obtain estimates of
retention in HIV care before initiation of antiretroviral treatment (ART), corrected for …

[HTML][HTML] An empiric tool to identify Kenyans living with HIV who will have unsuppressed viremia 18 months following treatment initiation to guide differentiated care …

N Njuguna, N Mugo, O Anzala, M Mureithi, E Irungu… - PloS one, 2022 - journals.plos.org
Background With the global push towards universal access to Antiretroviral Treatment
(ART), patient numbers are increasing, further straining already under-resourced healthcare …

[HTML][HTML] Retention in care among people living with HIV in the national antiretroviral therapy programme in Guinea: A retrospective cohort analysis

KJJO Kadio, C Amadou, SD Thierno… - PLOS Global Public …, 2023 - journals.plos.org
Few studies have investigated retention in HIV care in West Africa. We measured retention
in antiretroviral therapy (ART) programmes among people living with HIV and re …

[HTML][HTML] Retention in care trajectories of HIV-positive individuals participating in a universal test-and-treat program in rural South Africa (ANRS 12249 TasP Trial)

A Gosset, C Protopopescu, J Larmarange… - JAIDS Journal of …, 2019 - journals.lww.com
Objective: To study retention in care (RIC) trajectories and associated factors in patients
eligible for antiretroviral therapy (ART) in a universal test-and-treat setting (TasP trial, South …

[HTML][HTML] Predictors of loss to follow-up among patients on ART at a rural hospital in KwaZulu-Natal, South Africa

R Arnesen, AP Moll, SV Shenoi - PloS one, 2017 - journals.plos.org
Introduction Improved HIV outcomes as a result of expanded antiretroviral therapy (ART)
access is threatened by increasing rates of loss to follow up (LTFU) among those on ART …