Evidence map›Paper›PMID 40268486›Full record

ArticleBMJ open2025

Incidence of attrition and predictors among HIV-infected adolescents receiving antiretroviral therapy in public hospitals, South Ethiopia: a multicentre retrospective follow-up study.

Tamirat Gezahegn Guyo, Abraham Anbesie Sapo, Fasika Merid, Serekebirahan Sahile, Simegn Wagaye Kefene, Temesgen Mohammed Toma

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2025. 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tamirat Gezahegn GuyoDepartment of Public Health, Arba Minch College of Health Sciences, Arba Minch, Ethiopia tamiratgezahegn7st@gmail.com.ORCID http://orcid.org/0000-0001-7084-3570
Abraham Anbesie SapoDepartment of Environmental Health, Arba Minch College of Health Sciences, Arba Minch, Ethiopia.
Fasika MeridDepartment of Public Health, Arba Minch College of Health Sciences, Arba Minch, Ethiopia.ORCID http://orcid.org/0000-0002-4080-2724
Serekebirahan SahileDepartment of Public Health, Arba Minch College of Health Sciences, Arba Minch, Ethiopia.
Simegn Wagaye KefeneDepartment of Public Health, Arba Minch College of Health Sciences, Arba Minch, Ethiopia.
Temesgen Mohammed TomaPublic Health Emergency Management Directorate, South Ethiopia Region Health Bureau Public Health Institute, Jinka, Ethiopia.ORCID http://orcid.org/0000-0001-8849-6722

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to determine the incidence of attrition and its predictors among HIV-infected adolescents receiving antiretroviral therapy in public hospitals, South Ethiopia. STUDY

designA multicentre retrospective follow-up study was conducted, and Cox proportional hazards model was used to identify predictors of the study outcome variable (attrition). SETTINGS: The study was conducted in eight public hospitals (two general and six primary hospitals) in South Ethiopia.

participantsAdolescents (10-19 years) on antiretroviral therapy from 1 January 2014 to 30 December 2023 (n=409). The data were collected from patients' charts and electronic data records. OUTCOME VARIABLE: The primary outcome was time to attrition, and the secondary outcome was predictors of attrition.

resultsThe overall incidence density of attrition was 3.33 (95% CI: 2.65 to 4.18) per 100 person-year of observation. Age 15-19 years (adjusted HR (AHR): 1.88; 95% CI: 1.12 to 3.18), death of both the parents (AHR: 2.19; 95% CI: 1.04 to 4.61), no formal education (AHR: 3.16; 95% CI: 1.48 to 6.77), Co-trimoxazole Prophylactic Therapy (CPT) non-utilisation (AHR: 1.73; 95% CI: 1.03 to 2.91), not changed regimen (AHR: 6.16; 95% CI: 3.56 to 10.66) and poor treatment adherence (AHR: 5.16; 95% CI: 2.35 to 11.32) were predictors of attrition.

conclusionAttrition was identified to be a significant public health problem in study settings. Moreover, old age, parental death, not attending formal education, not using CPT, unchanged baseline regimen and suboptimal treatment adherence predict attrition. Hence, special attention should be given to older adolescents, those with no formal education, orphaned and with poor baseline clinical characteristics. Likewise, early tracing of missed follow-up schedules, improving adherence support and increasing contacting frequency to reduce attrition are highly encouraged.

Indexed as

Anti-HIV AgentsAnti-Retroviral AgentsHIV InfectionsMedication AdherenceAdolescentChildEthiopiaFemaleFollow-Up StudiesHospitals, PublicHumansIncidenceMaleProportional Hazards ModelsRetrospective StudiesYoung AdultAnti-HIV AgentsAnti-Retroviral AgentsAdolescentsEpidemiologyHIV & AIDSPublic health

Identifiers

PMID40268486
PMCPMC12020770

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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.