Evidence map›Paper›PMID 33154102›Full record

ArticleBMJ global health2020

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

Okikiolu Badejo, Christiana Noestlinger, Toyin Jolayemi, Juliette Adeola, Prosper Okonkwo, Sara Van Belle, Edwin Wouters, Marie Laga

Abstract read
In one paragraph

Article in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Okikiolu BadejoDepartment of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium okikolubadejo@gmail.com.ORCID 0000-0002-8124-7018
Christiana NoestlingerDepartment of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium.
Toyin JolayemiAPIN Public Health Initiative, Abuja, Nigeria.
Juliette AdeolaAPIN Public Health Initiative, Abuja, Nigeria.
Prosper OkonkwoAPIN Public Health Initiative, Abuja, Nigeria.
Sara Van BelleDepartment of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium.
Edwin WoutersDepartment of Sociology, University of Antwerp, Antwerpen, Belgium.
Marie LagaDepartment of Public Health, Institute of Tropical Medicine, Antwerpen, Belgium.

Funding

PEPFAR
6 · The paper itself

Abstract

introductionSubstantial 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.

methodsWe 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.

resultsFacility 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.

conclusionsDifferences 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.

Indexed as

HIV InfectionsAdolescentContinuity of Patient CareHumansInfantMaleNigeriaViral LoadYoung Adulthealth services researchHIVpublic health

Identifiers

PMID33154102
PMCPMC7646327

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