ArticleAnnals of medical and health sciences research
Predictors of Loss to Follow-up Among HIV-infected Patients in a Rural South-Eastern Nigeria Hospital: A 5-year Retrospective Cohort Study.
Article in Annals of medical and health sciences research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Retention in Care Among People Living with HIV in Nigeria: A Systematic Review and Meta-analysis.Journal of research in health sciences · 2024Pooled it
- Predictors of lost to follow up from antiretroviral therapy among adults in sub-Saharan Africa: a systematic review and meta-analysis.Infectious diseases of poverty · 2021Pooled it
- Incidence and predictors of loss to follow-up among adults receiving ART in Metekel Zone, Northwest Ethiopia: a retrospective cohort study.Journal of health, population, and nutrition · 2026Article
- 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
- Article
- Time-dependent predictors of loss to follow-up in HIV care in low-resource settings: A competing risks approach.PloS one · 2025Article
- Incidence and Predictors of Loss to Follow-Up Among Adults on Antiretroviral Therapy in South Gondar Governmental Hospitals, Ethiopia: Retrospective Cohort Study.Journal of multidisciplinary healthcare · 2023Article
- Effect of Test and Treat on clinical outcomes in Nigeria: A national retrospective study.PloS one · 2023Article
- Incidence and predictors of loss to follow-up among adult HIV-infected patients taking antiretroviral therapy at North Shewa zone public Hospitals, Northeast Ethiopia: A retrospective follow-up study.African health sciences · 2022Article
- Time to lost to follow-up and its predictors among adult patients receiving antiretroviral therapy retrospective follow-up study Amhara Northwest Ethiopia.Scientific reports · 2022Article
- A Qualitative Study Exploring Factors Associated with Retention in HIV Care among Women with HIV in a Large HIV Clinic in Lagos, Nigeria, after Implementing the Test and Treat Policy.AIDS research and treatment · 2022Article
- Incidence and predictors of early loss to follow up among patients initiated on protease inhibitor-based second-line antiretroviral therapy in southwestern Uganda.AIDS research and therapy · 2021Article
- Predictors of Loss to Follow-Up among HIV-Infected Adults after Initiation of the First-Line Antiretroviral Therapy at Arba Minch General Hospital, Southern Ethiopia: A 5-Year Retrospective Cohort Study.BioMed research international · 2021Article
- Rates and predictors of adherence and retention for antiretroviral therapy among HIV-positive adults in Enugu, Nigeria.Malawi medical journal : the journal of Medical Association of Malawi · 2019Article
- Social barriers in accessing care by clients who returned to HIV care after transient loss to follow-up.AIDS research and therapy · 2019Article
- Effect of Baseline Symptom Manifestations on Retention in Care and Treatment among HIV-Infected Patients in Nigeria.Journal of the International Association of Providers of AIDS CareArticle
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundPatient attrition has been a challenge in managing HIV programs in resource-limited settings.
aimThis study reviews the predictors of loss to follow-up (LTFU) in our hospital and suggests the best practices for dealing with the issue. SUBJECTS AND
methodsA 5-year retrospective cohort study of 1256 HIV-infected patients. Baseline CD4 counts, age, gender, year of enrolment, and antiretroviral therapy combination regimen were considered in this study. Kaplan-Meier models were used to estimate the univariate time-to-LTFU and Cox proportional hazards models to identify the multivariate predictors of LTFU.
resultsTwenty-four percent (23.9% [301/1256]) of patients were lost to follow-up. Baseline CD4 count, year of enrolment, and drug combination were significant predictors of LTFU. Patients enrolled earlier (2008/2009) were twice as likely to be LTFU compared with those enrolled later (2010-2013). Gender and age did not significantly predict LTFU nor confound other predictors.
conclusionThe program showed higher LTFU rates than most studies in Nigeria and Africa, maybe due to difficulties with the access to the hospital and possible treatment fatigue. This study recommends the provision of transportation subsidies and proactive patient follow-up with "peer-tracking" to reduce LTFU among HIV infected patients, especially in resource-limited settings.
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