Evidence map›Paper›PMID 39138418›Full record

ArticleBMC infectious diseases2024

Factors influencing HIV testing uptake in Sub-Saharan Africa: a comprehensive multi-level analysis using demographic and health survey data (2015-2022).

Kebede Gemeda Sabo, Beminate Lemma Seifu, Bizunesh Fantahun Kase, Hiwot Altaye Asebe, Zufan Alamrie Asmare, Yordanos Sisay Asgedom, Abdu Hailu Shibeshi, Tsion Mulat Tebeje, Afework Alemu Lombebo, Bezawit Melak Fente and 1 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
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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

18 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

11 authors.

Kebede Gemeda SaboDepartment of Nursing, College of Health Sciences, Samara University, Afar, 132, Ethiopia. kebedegemeda2008@gmail.com.ORCID https://orcid.org/0000-0002-3024-9857
Beminate Lemma SeifuDepartment of Public Health, College of Health Sciences, Samara University, Afar, Ethiopia.
Bizunesh Fantahun KaseDepartment of Public Health, College of Health Sciences, Samara University, Afar, Ethiopia.
Hiwot Altaye AsebeDepartment of Public Health, College of Health Sciences, Samara University, Afar, Ethiopia.
Zufan Alamrie AsmareDepartment of Ophthalmology, School of Medicine and Health Science, Debre Tabor University, Debre Tabor, Ethiopia.
Yordanos Sisay AsgedomDepartment of Epidemiology and Biostatics, College of Health Sciences and Medicine, Wolaita Sodo University, Sodo, Ethiopia.
Abdu Hailu ShibeshiDepartment of Statistics, College of Natural and Computational Science, Samara University, Afar, Ethiopia.
Tsion Mulat TebejeSchool Of Public Health, College of Health Science and Medicine, Dilla University, Dilla, Ethiopia.
Afework Alemu LombeboDepartment of Epidemiology and Biostatics, College of Health Sciences and Medicine, Wolaita Sodo University, Sodo, Ethiopia.
Bezawit Melak FenteDepartment of General Midwifery, School of Midwifery, College of Medicine & Health Sciences, University of Gondar, Gondar, Ethiopia.
Kusse Urmale MareDepartment of Nursing, College of Health Sciences, Samara University, Afar, 132, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman Immunodeficiency Virus (HIV) is a global health concern, causing over 35 million deaths, with 97% occurring in developing nations, particularly impacting Sub-Saharan Africa. While HIV testing is crucial for early treatment and prevention, existing research often focuses on specific groups, neglecting general adult testing rates. This study aims to identify predictors of HIV testing uptake among adults in Sub-Saharan Africa.

methodData were obtained from the official Demographic and Health Survey program database, which used a multistage cluster sampling technique to collect the survey data. In this study, a weighted sample of 283,936 adults was included from thirteen Sub-Saharan African countries. Multilevel multivariable logistic regression analysis was employed to identify predictors of HIV testing uptake. Akaike's information criteria guided model selection. Adjusted odds ratios and corresponding 95% confidence intervals determined significant predictor variables.

resultAmong adults in Sub-Saharan African countries, the prevalence of HIV testing uptake was 65.01% [95% CI (64.84%, 65.17%)]. Influential factors included male sex [AOR: 0.51, 95% CI (0.49,0.53)], varying odds ratios across age groups (20-24 [AOR: 3.3, 95% CI (3.21, 3.46) ], 25-29 [AOR: 4.4, 95% CI (4.23, 4.65)], 30-34 [AOR: 4.6, 95%CI (4.40, 4.87)], 35-39 [AOR: 4.0, 95%CI (3.82, 4.24)], 40-44 [AOR: 3.7, 95%CI (3.50, 3.91)], 45-49 [AOR: 2.7, 95%CI (2.55, 2.87)], 50+ [AOR: 2.7, 95%CI (2.50, 2.92)]), marital status (married [AOR: 3.3, 95%CI (3.16, 3.46)], cohabiting [AOR: 3.1, 95% CI (2.91, 3.28)], widowed/separated/divorced [AOR: 3.4, 95%CI (3.22, 3.63)]), female household headship (AOR: 1.28, 95%CI (1.24, 1.33)), education levels (primary [AOR: 3.9, 95%CI (3.72, 4.07)], secondary [AOR: 5.4, 95%CI (5.16, 5.74)], higher [AOR: 8.0, 95%CI (7.27, 8.71)]), media exposure (AOR: 1.4, 95%CI (1.32, 1.43)), wealth index (middle [AOR: 1.20, 95%CI (1.17, 1.27)], richer [AOR: 1.50, 95%CI (1.45, 1.62)]), Having discriminatory attitudes towards PLWHIV [AOR: 0.4; 95% CI (0.33, 0.37)], had multiple sexual partners [AOR: 1.2; 95% CI (1.11, 1.28)], had comprehensive knowledge about HIV [AOR: 1.6; 95% CI (1.55, 1.67)], rural residence (AOR: 1.4, 95%CI (1.28, 1.45)), and lower community illiteracy (AOR: 1.4, 95%CI (1.31, 1.50)) significantly influenced HIV testing uptake in the region.

conclusionThis study highlights the need for tailored interventions to address disparities in HIV testing uptake among adults in Sub-Saharan Africa and progress towards the achievement of 95-95-95 targets by 2030. Thus, tailored interventions addressing key factors are crucial for enhancing testing accessibility and emphasizing awareness campaigns, easy service access, and targeted education efforts to improve early diagnosis, treatment, and HIV prevention in the region.

Indexed as

Health SurveysHIV InfectionsHIV TestingAdolescentAdultAfrica South of the SaharaFemaleHumansMaleMass ScreeningMiddle AgedMultilevel AnalysisPatient Acceptance of Health CarePrevalenceYoung AdultAdult populationHIV testMulti-level analysisSub-Saharan Africa

Identifiers

PMID39138418
PMCPMC11320845

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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.