Evidence map›Paper›PMID 42426620›Full record

ArticleBMC infectious diseases2026

Incidence and predictors of loss to follow-up among HIV infected adults on antiretroviral therapy in Guji Zone, Southern Ethiopia, 2023.

Dereje Girma, Gemechis Tuke, Zelalem Jebessa, Kebebew Lemma, Azmach Habtegiorgis, Ashenafi Lemesa, Alo Edin

Abstract read
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Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Dereje GirmaOromia Health Bureau, Disease Prevention and Control Department, Shakiso Town Health Office, Shakiso, Ethiopia. derejegirma617@gmail.com.
Gemechis TukeOromia Health Bureau, Disease Prevention and Control Department, Shakiso Town Health Office, Shakiso, Ethiopia.
Zelalem JebessaDepartment of Nursing, Institute of Health, Bule Hora University, Bule Hora, Ethiopia.
Kebebew LemmaDepartment of Public Health, Institute of Health, Bule Hora University, Bule Hora, Ethiopia.
Azmach HabtegiorgisDepartment of Public Health, Institute of Health, Bule Hora University, Bule Hora, Ethiopia.
Ashenafi LemesaOromia Health Bureau, Disease Prevention and Control Department, Shakiso Town Health Office, Shakiso, Ethiopia.
Alo EdinDepartment of Public Health, Institute of Health, Bule Hora University, Bule Hora, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntiretroviral therapy (ART) has significantly improved outcomes for people living with HIV (PLHIV) globally. However, loss to follow-up (LTFU) remains a major barrier to the effectiveness of ART programs, particularly in resource-limited settings. In Ethiopia, LTFU contributes substantially to patient attrition, yet data from high-burden zones like Guji remain limited. Therefore, this study aimed to determine the incidence rate and identify predictors of loss to follow-up among HIV-infected adults receiving ART at public health facilities in Guji zone, Southern Ethiopia, 2023.

methodsAn institution-based retrospective cohort study was conducted among 434 HIV-positive adults who initiated ART between July 2018 and June 2022 at public health facilities in Guji zone. Participants were selected using simple random sampling. Data were extracted from medical records using a structured checklist and entered into Epi Data 4.6.2. Analysis was performed using SPSS 25 and STATA 14. The incidence rate of LTFU (defined as >30 days since last scheduled appointment date and has not been classified as "dead" or "transferring out) was calculated per 100 person-years. Bivariable and multivariable Cox proportional hazards regression were used to identify predictors of LTFU. Adjusted hazard ratios (AHR) with 95% confidence intervals and p-values < 0.05 were considered statistically significant.

resultAmong 434 participants (60% female) followed for 904.35 person-years, 135 (31.1%) were lost to follow-up, yielding an incidence rate of 14.93 per 100 person-years. Factors significantly associated with higher LTFU risk were: male sex (AHR = 1.85, 95%CI: 1.27-2.69), age 15-30 years (AHR = 2.40, 95%CI: 1.58-3.64), female sex work (AHR = 3.26, 95%CI: 1.39-7.65), daily labor/mobile work (AHR = 1.91, 95%CI: 1.16-3.16), and no formal education (AHR = 2.20, 95%CI: 1.52-3.20). Protective factors associated with lower LTFU risk were: residing in the same woreda as the health facility (AHR = 0.55, 95%CI: 0.38-0.82) and having a documented phone number (AHR = 0.46, 95%CI: 0.31-0.67).

conclusionThe incidence of LTFU among adults on ART in Guji zone was high, particularly during the first year of treatment. Male sex, younger age, lack of formal education, female sex work, and daily labor were associated with increased LTFU risk, while residing in the same woreda as the health facility and having documented phone numbers were protective. Targeted interventions including enhanced counseling for high-risk groups, community-based ART refill models, and active phone-based tracking systems should be implemented to improve retention.

Indexed as

Anti-HIV AgentsHIV InfectionsLost to Follow-UpAdolescentAdultEthiopiaFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsYoung AdultAnti-HIV AgentsAntiretroviral therapyEthiopiaHIVIncidenceLoss to follow upRisk factors

Identifiers

PMID42426620
PMCPMC13374148

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.