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Multilevel modelling and multiple group analysis of disparities in continuity of care and viral suppression among adolescents and youths living with HIV in Nigeria

Datos Bibliográficos

ID21880715
AutoresOkikiolu Badejo (0000-0002-8124-7018, University of Antwerp, autor de correspondencia), Christiana Nöstlinger (0000-0001-9031-8503, Instituut voor Tropische Geneeskunde), Christiana Noestlinger (Department of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium), Toyin Jolayemi (AIDS Prevention Initiative in Nigeria), Juliette Adeola (AIDS Prevention Initiative in Nigeria), Prosper Okonkwo (0000-0001-6822-9344, AIDS Prevention Initiative in Nigeria), Van Belle (0000-0003-2074-0359, Instituut voor Tropische Geneeskunde), Edwin Wouters (0000-0003-2268-3829, University of Antwerp), Marie Laga (0000-0002-3567-000X, Instituut voor Tropische Geneeskunde)
Año2020
Volumen5
Número11
Páginase003269
Fecha de publicación2020-11-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaBMJ Global Health (JOURNAL)
Identificadores de la revistaISSN: 2059-7908 • E-ISSN: 2059-7908
EditorialBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2020-003269
PMID33154102
OpenAlexW3095274122
IdiomaEN
Citas recibidas3
Referencias citadas51

INTRODUCTION: Substantial disparities in care outcomes exist between different subgroups of adolescents and youths living with HIV (AYLHIV). Understanding variation in individual and health facility characteristics could be key to identifying targets for interventions to reduce these disparities. We modelled variation in AYLHIV retention in care and viral suppression, and quantified the extent to which individual and facility characteristics account for observed variations. METHODS: We included 1170 young adolescents (10-14 years), 3206 older adolescents (15-19 years) and 9151 young adults (20-24 years) who were initiated on antiretroviral therapy (ART) between January 2015 and December 2017 across 124 healthcare facilities in Nigeria. For each age group, we used multilevel modelling to partition observed variation of main outcomes (retention in care and viral suppression at 12 months after ART initiation) by individual (level one) and health facility (level two) characteristics. We used multiple group analysis to compare the effects of individual and facility characteristics across age groups. RESULTS: Facility characteristics explained most of the observed variance in retention in care in all the age groups, with smaller contributions from individual-level characteristics (14%-22.22% vs 0%-3.84%). For viral suppression, facility characteristics accounted for a higher proportion of variance in young adolescents (15.79%), but not in older adolescents (0%) and young adults (3.45%). Males were more likely to not be retained in care (adjusted OR (aOR)=1.28; p<0.001 young adults) and less likely to achieve viral suppression (aOR=0.69; p<0.05 older adolescent). Increasing facility-level viral load testing reduced the likelihood of non-retention in care, while baseline regimen TDF/3TC/EFV or NVP increased the likelihood of viral suppression. CONCLUSIONS: Differences in characteristics of healthcare facilities accounted for observed disparities in retention in care and, to a lesser extent, disparities in viral suppression. An optimal combination of individual and health services approaches is, therefore, necessary to reduce disparities in the health and well-being of AYLHIV

Age groups · Analysis of variance · Explained variation · Health care · Multilevel model · Psychological intervention · Statistics · Viral load · Young adult · Adolescent Sexual and Reproductive Health · Demography · Global Maternal and Child Health · HIV/AIDS Research and Interventions · Medicine · Nursing · Gerontology · Immunology · Internal Medicine

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    Open Access•Ana Paula Sayuri Sato, Maria Ines Battistella Nemes et al.•Revista de Saúde Pública•2023

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Obras citantes distintas3
Citas por año1
Intervalo de citas2023 - 2023 (1)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 2
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