Evidence map›Paper›PMID 39175904›Full record

ArticleFrontiers in public health2024

Uptake of community-based differentiated antiretroviral therapy service delivery and associated factors among people living with HIV in Ethiopia: a multicenter cross-sectional study.

Fasika Merid, Temesgen Mohammed Toma, Abraham Anbesie, Tamirat Gezahegn Guyo

Abstract readMulticenter Study
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. 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

4 authors.

Fasika MeridDepartment of Public Health, Arba Minch College of Health Sciences, Arba Minch, Ethiopia.
Temesgen Mohammed TomaDepartment of Public Health Emergency Management, South Ethiopia Region Public Health Institute, Jinka, Ethiopia.
Abraham AnbesieDepartment of Public Health, Arba Minch College of Health Sciences, Arba Minch, Ethiopia.
Tamirat Gezahegn GuyoDepartment of Public Health, Arba Minch College of Health Sciences, Arba Minch, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Achieving the 95-95-95 targets require an efficient and innovative person-centered approach, specifically community-based differentiated service delivery (DSD), to improve access to human immunodeficiency virus (HIV) services and reduce burdens on the health system. Therefore, this study aimed to assess the uptake of community-based DSD models and associated factors among people living with HIV (PLHIV). Methods: A multicenter cross-sectional study was conducted among PLHIV in public health facilities in South Ethiopia. Data were collected and entered into EpiData version 3.1 before being exported to Stata version 14 for further analysis. In the bivariable logistic regression analysis, variables with a Results: Among 381 stable PLHIV, 55.91% were women. The median age (interquartile range) was 40 years (27-53). The uptake of community-based DSD models was 19.16%. Residence and disclosure were the two independent factors significantly associated with the uptake of community-based DSD models. Conclusion: One out of five stable PLHIV on antiretroviral therapy uptake the community-based DSD models. Improvement in uptake is needed in Ethiopia's resource-limited healthcare system to better achieve the 95-95-95 targets.

Indexed as

HIV InfectionsAdultAnti-Retroviral AgentsCommunity Health ServicesCross-Sectional StudiesEthiopiaFemaleHumansMaleMiddle AgedAnti-Retroviral AgentsCAGcommunity-based DSD modelsfactors associatedPCADPLHIVuptake

Identifiers

PMID39175904
PMCPMC11338763

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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.