ArticleFrontiers in public health2024
Incidence and predictors of loss to follow-up among adult patients receiving antiretroviral therapy in Central Ethiopia: a multi-center retrospective cohort study.
Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.
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8 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Incidence and predictors of loss to follow-up among adults on antiretroviral therapy in Ethiopia: a systematic review and meta-analysis of cohort studies.AIDS research and therapy · 2026Pooled it
- Incidence of loss to follow‑up among East African adults on antiretroviral therapy: a systematic review and meta‑analysis.Systematic reviews · 2025Pooled it
- Attrition rate of antiretroviral therapy and its influencing factors among Chinese people living with HIV/AIDS: a meta-analysis and system review.AIDS research and therapy · 2025Pooled it
- Article
- Incidence and predictors of lost to follow-up in "test and treat era" among adults on ART in Eastern Ethiopia: a retrospective follow-up study.BMC infectious diseases · 2026Article
- Patient related factors associated with antiretroviral therapy defaulting among the youth accessing HIV care services in Mzimba, Malawi.PLOS global public health · 2025Article
- Burden of vaso-occlusive crisis, its management and impact on quality of life of Indian sickle cell disease patients.British journal of haematology · 2025Observational
- Rate and predictors of loss to follow-up in HIV care in a low-resource setting: analyzing critical risk periods.BMC infectious diseases · 2024Article
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6 authors.
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Abstract
Background: Globally, loss to follow-up (LTFU) remains a significant public health concern despite the rapid expansion of antiretroviral medication programs. It is a significant cause of treatment failure and threatens the enhancement of HIV treatment outcomes among patients on antiretroviral therapy (ART). However, there is a paucity of evidence on its incidence and predictors in Ethiopia. Thus, this study aimed to examine the incidence and predictors of LTFU among adult HIV patients receiving ART at hospitals in Central Ethiopia. Methods: A multi-centered facility-based retrospective cohort study was conducted among 432 randomly selected adult patients who received antiretroviral therapy. Data were entered into EpiData version 3.1 and exported to Stata version 14 for analysis. The Kaplan-Meier failure function was employed to determine the overall failure estimates, and the log-rank test was used to compare the probability of failure among the different categories of variables. The Cox proportional hazard model was used to identify independent predictors of LTFU. Results: Overall, 172 (39.8%) study participants were lost to follow-up over the 10-year follow-up period with an incidence rate of 8.12 (95% CI: 7.11, 9.09) per 1,000 person-months. Undisclosed HIV status (AHR: 1.96, 95% CI: 1.14, 3.36), not able to work (AHR: 1.84, 95% CI: 1.13, 2.22), opportunistic infections (AHR: 3.13, 95% CI: 2.17, 4.52), CD4 < 200 cell/mL (AHR: 1.95, 95% CI: 1.18, 3.21), not receiving isoniazid preventive therapy (IPT) (AHR: 2.57, 95% CI: 1.62, 4.06), not participating in clubs (AHR: 1.68, 95% CI: 1.10, 2.22), side effects of drugs (AHR: 1.44, 95% CI: 1.02, 2.04), and high viral load (AHR: 3.15, 95% CI: 1.81, 5.47) were identified as significant predictors of loss to follow-up. Conclusion: In this study, the incidence of LTFU was high. The focus should be on creating awareness and prevention programs that aim to reduce loss to follow-up by continuing counseling, especially on the negative effects of loss to follow-up and the benefits of ART care.
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