Evidence map›Paper›PMID 28288604›Full record

ArticleBMC public health2017

HIV prevalence and uptake of HIV/AIDS services among youths (15-24 Years) in fishing and neighboring communities of Kasensero, Rakai District, South Western Uganda.

Richardson Mafigiri, Joseph K B Matovu, Fredrick Edward Makumbi, Anthony Ndyanabo, Doreen Nabukalu, Moses Sakor, Godfrey Kigozi, Fred Nalugoda, Rhoda K Wanyenze

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
13.8field-weighted citation impact, top 1% of its field
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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Richardson MafigiriPublic Health Fellowship Program (PHFP) - Field Epidemiology Track, Ministry of Health-Makerere University School of Public Health, P.O. Box 7072, Kampala, Uganda. rmafigiri@musph.ac.ug.
Joseph K B MatovuSchool of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.
Fredrick Edward MakumbiSchool of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.
Anthony NdyanaboRakai Health Sciences Program, Kampala, Uganda.
Doreen NabukaluRakai Health Sciences Program, Kampala, Uganda.
Moses SakorRakai Health Sciences Program, Kampala, Uganda.
Godfrey KigoziRakai Health Sciences Program, Kampala, Uganda.
Fred NalugodaRakai Health Sciences Program, Kampala, Uganda.
Rhoda K WanyenzeSchool of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.
Rakai Health Sciences Program · UGMakerere University · UGMinistry of Health · UG

Funding

Evaluating Demand Generation (Stylish Man) for HIV/Family Planning Services RakaiR01AI114438 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WAWER, MARIA J · 2014 to 2017
$3.0M
NIAID NIH HHS R01 AI114438
6 · The paper itself

Abstract

backgroundAlthough fishing communities have a significantly higher HIV prevalence than the general population, there is paucity of data on the burden of HIV and service utilization, particularly among the youth. We assessed the HIV prevalence and utilization of HIV prevention and treatment services among youth in Kasensero fishing community and the neighboring communities.

methodData were derived from the Rakai Community Cohort Study (RCCS) surveys conducted between 2013 and 2014. The RCCS is a population-based household survey that collects data annually from individuals aged 15-49 years, resident in 48 communities in Rakai and neighboring districts in Uganda. For this analysis, socio-demographic, behavioral and HIV-related data were obtained for 792 individuals aged 15-24 years. We used logistic regression to conduct bivariate and multivariable analysis to determine the factors that are independently associated with HIV-positive status and their corresponding 95% confidence intervals. Data were analyzed using STATA version 13.

resultsOverall HIV prevalence was 19.7% (n = 155); higher in Kasensero (n = 141; 25.1%) and Gwanda (n = 8; 11%) than in Kyebe (n = 6; 3.9%), p < 0.001 and among females (n = 112; 26.0%) than males (n = 43; 12.0%), p < 0.001. Uptake of HIV testing was high in both HIV-positive (n = 136; 89.5%) and HIV-negative youth (n = 435; 92%). Consistent condom use was virtually non-existent in HIV-positive youth (n = 1; 0.6%) compared to HIV-negative youth (n = 20; 4.2%). Only 22.4% (n = 34) of the HIV-positive youth were receiving antiretroviral therapy (ART) in 2013-2014; higher in the HIV-positive females (n = 31; 28.4%) than HIV-positive males (n = 03; 6.7%). Slightly more than half of males (n = 134; 53.8%) reported that they were circumcised; the proportion of circumcised youth was higher among HIV-negative males (n = 122; 58%) than HIV-positive males (n = 12; 27.9%). Factors significantly associated with HIV-positive status included living in Kasensero landing site (adjusted Odds Ratio [aOR] = 5.0; 95%CI: 2.22-13.01) and reporting one (aOR = 5.0; 95%CI: 1.33-15.80) or 2+ sexual partners in the past 12 months (aOR = 11.0; 95% CI; 3.04-36.72).

conclusionThe prevalence of HIV is high especially among young females and in landing site communities than in the peripheral communities. Uptake of HIV prevention and treatment services is very low. There is an urgent need for youth-friendly services in these communities.

Indexed as

OccupationsPatient Acceptance of Health CareResidence CharacteristicsRisk-TakingSexual BehaviorAcquired Immunodeficiency SyndromeAdolescentAdultAnimalsCohort StudiesCondomsFemaleHIV InfectionsHumansLogistic ModelsMaleCareHIV prevalenceServicesUptakeYouth

Identifiers

PMID28288604
PMCPMC5348807
OpenAlexW2595755674

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.