SynthesisInfectious diseases of poverty2021
Predictors of lost to follow up from antiretroviral therapy among adults in sub-Saharan Africa: a systematic review and meta-analysis.
Synthesis in Infectious diseases of poverty, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- Contextual Drivers of HIV Vulnerability and Retention in Care in the Central African Republic: An Ecological Analysis.AIDS and behavior · 2026Article
- Incidence and predictors of loss to follow-up among HIV infected adults on antiretroviral therapy in Guji Zone, Southern Ethiopia, 2023.BMC infectious diseases · 2026Article
- Clinical outcomes after the implementation of a patient-centered care program applied to newly admitted people with HIV in Mexico City: a retrospective cohort study.AIDS research and therapy · 2026Article
- Quantifying the impact of health service delivery barriers on access to healthcare: a case study of antiretroviral therapy in Mali.BMJ global health · 2026Article
- Contemporary Disengagement From Antiretroviral Therapy in the Western Cape, South Africa: A Cross-Sectional Study.Journal of the International AIDS Society · 2026Article
- Retention and predictors of loss-to-follow-up among patients on antiretroviral therapy in the Test-and-Treat Era: evidence from a retrospective cohort study in Maputo, Mozambique.BMC infectious diseases · 2026Article
- Trends in advanced HIV disease, treatment interruption, and viraemia in KwaZulu-Natal, South Africa.PLOS global public health · 2026Article
- Community-engaged health outreach program contributes to health service, research, and education in rural areas.Frontiers in health services · 2026Article
- The loss to follow-up of participants excluded from the NAMSAL trial: a retrospective cohort study.Scientific reports · 2025Article
- Antiretroviral therapy clients' experience of Follow-up care in tshwane, Gauteng province, South Africa.AIDS research and therapy · 2025Article
- A competing risk analysis of predictors of time to lost to follow-up among adults with TB/HIV coinfection in Bahir Dar.Scientific reports · 2025Article
- Incidence and predictors of loss to follow-up among South Sudanese refugees with HIV receiving care in Adjumani District, Uganda.IJID regions · 2025Article
- Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting.BMC medical informatics and decision making · 2025Article
- Analysis of travel-time to HIV treatment in sub-Saharan Africa reveals inequities in access to antiretrovirals.Communications medicine · 2025Article
- Determinants of lost-to-follow-up (LTFU) among National Health Insurance Scheme-insured hypertension and diabetes patients attending accredited health facilities in Ghana.Tropical medicine and health · 2025Article
- Identifying risk factors for loss to follow-up in adults living with HIV in a high-burden district in Ghana.BMC public health · 2025Article
- Incidence and predictors of loss to follow-up among adult HIV patients attending antiretroviral therapy at public health facilities in Agaro town, Southwest Ethiopia, 2023.BMC infectious diseases · 2025Article
- Integrated multi-month dispensing for HIV and hypertension in South Africa: A model of epidemiological impact and cost-effectiveness.Journal of the International AIDS Society · 2025Article
- Use of machine learning in predicting continuity of HIV treatment in selected Nigerian States.PLOS global public health · 2025Article
- Time-dependent predictors of loss to follow-up in HIV care in low-resource settings: A competing risks approach.PloS one · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
backgroundIt is known that 'drop out' from human immunodeficiency virus (HIV) treatment, the so called lost-to-follow-up (LTFU) occurs to persons enrolled in HIV care services. However, in sub-Saharan Africa (SSA), the risk factors for the LTFU are not well understood.
methodsWe performed a systematic review and meta-analysis of risk factors for LTFU among adults living with HIV in SSA. A systematic search of literature using identified keywords and index terms was conducted across five databases: MEDLINE, PubMed, CINAHL, Scopus, and Web of Science. We included quantitative studies published in English from 2002 to 2019. The Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) was used for methodological validity assessment and data extraction. Mantel Haenszel method using Revman-5 software was used for meta-analysis. We demonstrated the meta-analytic measure of association using pooled odds ratio (OR), 95% confidence interval (CI) and heterogeneity using I
resultsThirty studies met the search criteria and were included in the meta-analysis. Predictors of LTFU were: demographic factors including being: (i) a male (OR = 1.2, 95% CI 1.1-1.3, I
conclusionsThe current review identifies demographic, behavioral and clinical factors to be determinants of LTFU. We recommend strengthening of HIV care services in SSA targeting the aforementioned group of patients. Trial registration Protocol: the PROSPERO Registration Number is CRD42018114418.
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