ArticlePloS one2020
Determinants of loss to follow-up among HIV positive patients receiving antiretroviral therapy in a test and treat setting: A retrospective cohort study in Masaka, Uganda.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 4 of them syntheses that pooled it.
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Who cites it
55 citing papers in PubMed, 4 syntheses or guidelines pooled it, 87 citations in OpenAlex.
- 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
- Factors related to loss to follow-up among people living with HIV: a systematic review.Revista do Instituto de Medicina Tropical de Sao Paulo · 2025Pooled it
- Attrition one year after starting antiretroviral therapy before and after the programmatic implementation of HIV "Treat All" in Sub-Saharan Africa: a systematic review and meta-analysis.BMC infectious diseases · 2023Pooled it
- Mortality and Loss to Follow-Up Among Adolescents and Young Adults Attending HIV Care Programs in Kenya.AIDS patient care and STDs · 2023Trial
- Article
- 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
- 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
- Visit-level prediction of missed HIV appointments using machine learning and transformer-based models in Uganda.BMC medical informatics and decision making · 2026Article
- Factors associated with loss to follow-up among people living with HIV at public health facilities in Manaus, Brazil: a multicentric study.BMC public health · 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
- Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning.Global epidemiology · 2025Article
- Incidence and predictors of loss to follow-up among South Sudanese refugees with HIV receiving care in Adjumani District, Uganda.IJID regions · 2025Article
- Trends and factors associated with retention in HIV care among men living with HIV in a peri-urban primary care facility in central Uganda: a retrospective cohort study.BMC public health · 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
- Predictive Factors of ART Follow-Up Loss in HIV Patients (2018-2022): A Retrospective Cohort Study.AIDS and behavior · 2025Article
- Incidence of loss to follow-up and associated factors among mothers on antiretroviral therapy in the context of elimination of mother-to-child transmission of HIV in two health districts of Bobo-Dioulasso in Burkina Faso.BMC women's 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
- Time-dependent predictors of loss to follow-up in HIV care in low-resource settings: A competing risks approach.PloS one · 2025Article
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Authors and funding
5 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundRetaining patients starting antiretroviral therapy (ART) and ensuring good adherence remain cornerstone of long-term viral suppression. In this era of test and treat (T&T) policy, ensuring that patients starting ART remain connected to HIV clinics is key to achieve the UNAIDS 90-90-90 targets. Currently, limited studies have evaluated the effect of early ART initiation on loss to follow up in a routine health care delivery setting. We studied the cumulative incidence, incidence rate of loss to follow up (LTFU), and factors associated with LTFU in a primary healthcare clinic that has practiced T&T since 2012.
methodsWe retrospectively analyzed extracted routine program data on patients who started ART from January 2012 to 4th July 2016. We defined LTFU as failure of a patient to return to the HIV clinic for at least 90 days from the date of their last appointment. We calculated cumulative incidence, incidence rate and fitted a multivariable Cox proportion hazards regression model to determine factors associated with LTFU.
resultsOf the 7,553 patients included in our sample, 3,231 (42.8%) started ART within seven days following HIV diagnosis. There were 1,180 cases of LTFU observed over 15,807.7 person years at risk. The overall incidence rate (IR) of LTFU was 7.5 (95% CI, 7.1-7.9) per 100 person years of observation (pyo). Cumulative incidence of LTFU increased with duration of follow up from 8.9% (95% CI, 8.2-9.6%) at 6 months to 20.2% (95% CI, 19.0-21.4%) at 48 months. Predictors of elevated risk of LTFU were: starting ART within 7 days following HIV diagnosis ((aHR) = 1.69, 95% CI, 1.50-1.91), lack of a telephone set (aHR = 1.52, 95% CI, 1.35-1.71), CD4 cell count of 200-350μ/ml (aHR = 1.21, 95% CI, 1.01-1.45) and baseline WHO clinical stage 3 or 4 (aHR = 1.35, 95% CI, 1.10-1.65). Factors associated with a reduced risk of LTFU were: baseline age ≥25 years (aHR ranging from 0.62, 95% CI, 0.47-0.81 for age group 25-29 years to 0.24, 95% CI, 0.13-0.44 for age group ≥50 years), at least primary education level (aHR ranging from aHR = 0.77, 95% CI, 0.62-0.94 for primary education level to 0.50, 95% CI, 0.34-0.75 for post-secondary education level), and having a BMI ≥ 30 (aHR = 0.28, 95% CI, 0.15-0.51).
conclusionThe risk of loss to follow up increased with time and was higher among patients who started ART within seven days following HIV diagnosis, higher among patients without a telephone set, lower among patients aged ≥ 25 years, lower among patients with at least primary education and lower among patients with BMI of ≥ 30. In this era of T&T, it will be important for HIV programs to initiate and continue enhanced therapeutic education programs that target high risk groups, as well as leveraging on mHealth to improve patients' retention on ART throughout the cascade of care.
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