Evidence map›Paper›PMID 30563534›Full record

ArticleBMC health services research2018

Prevalence of HIV infection and uptake of HIV/AIDS services among fisherfolk in landing Islands of Lake Victoria, north western Tanzania.

Anthony Kapesa, Namanya Basinda, Elias C Nyanza, Martha F Mushi, Ola Jahanpour, Sospatro E Ngallaba

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 28 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

6 authors at 2 institutions in 1 country.

Anthony KapesaDepartment of Community Medicine, School of Public Health, Catholic University of Health and Allied Sciences (CUHAS), P.O. BOX 1464, Mwanza, Tanzania. anthony1kapesa@gmail.com.ORCID http://orcid.org/0000-0002-7675-7806
Namanya BasindaDepartment of Community Medicine, School of Public Health, Catholic University of Health and Allied Sciences (CUHAS), P.O. BOX 1464, Mwanza, Tanzania.
Elias C NyanzaDepartment of Environmental and occupational Health & Geographical information system, School of Public Health, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Martha F MushiDepartment of Microbiology and Immunology, School of Medicine, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Ola JahanpourInstitute of Public Health, Department of Epidemiology and Biostatistics, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Sospatro E NgallabaDepartment of Community Medicine, School of Public Health, Catholic University of Health and Allied Sciences (CUHAS), P.O. BOX 1464, Mwanza, Tanzania.
Catholic University of Health and Allied Sciences · TZKilimanjaro Christian Medical Centre · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNew HIV infections in Tanzania have been decreasing, however some populations remain at higher risk. Despite of that, evidence on the magnitude of HIV infection and the associated factors and HIV/AIDS services uptake among fisherfolk in Tanzania are inadequately explored. This study therefore aimed at determining prevalence of HIV infection and utilization of HIV/AIDS services among fishfolk in selected Islands of Lake Victoria for evidence-based interventions.

methodsCross-sectional study determining status of HIV infection among fisherfolk (n = 456) and retrospective review of voluntary counselling and testing (VCT) registry (n = 1744) were done in Buchosa and Muleba districts. Structured questionnaire and HIV rapid test kits with the standard testing protocol were used as research tools.

resultsA total of 269 (58.9%) male and 187 (41.1%) female fisherfolk were recruited during the community survey. Prevalence of HIV infection was 14% in all surveyed landing sites with a site variation from as low as 7.2% to as high as 23.8%. Participants employed in fishing related employment had higher odds of being HIV infected (5.4 times) than those who practiced fishing and partly farming [OR = 5.40; 95%CI 1.88-15.61; p < 0.001]. Participants employed in fishing related employment had higher odds of being HIV infected (5.4 times) than those practiced fishing and farming [OR = 5.40; 95%CI 1.88-15.61; P < 0.001]. Lack of formal education [aOR = 3.37; 95%CI 1.64-6.92; p < 0.001], being older [aOR = 1.06; 95%CI 1.03-1.09] and using alcohol [aOR = 2.26; 95%CI 1.23-4.15] predicted the likelihood of contracting HIV infection. Approximately three quarters (76%) of respondents had ever tested for HIV infection within past 1 year. Moreover, about half of the study participants had used condom inconsistently and 5 out of 14 (37.5%) of participants who knew their status had never started treatment. Despite the low uptake of most HIV preventive services, majority (88%) of male fisherfolk were circumcised.

conclusionThe magnitude of HIV infection among fisherfolk was up to 3 times higher than that of the general populations in Muleba and Buchosa districts. Higher age, using alcohol and lack of formal education predicted increased likelihood of HIV infection. The uptake of key HIV/AIDS curative and preventive services was generally low.

Indexed as

AdolescentAdultAgedAged, 80 and overCounselingCross-Sectional StudiesEmploymentFacilities and Services UtilizationFemaleFisheriesHealth Knowledge, Attitudes, PracticeHIV InfectionsHumansLakesMaleMiddle AgedFisherfolkHIV/AIDS servicesHIV infectionLanding islandsTanzania

Identifiers

PMID30563534
PMCPMC6299499
OpenAlexW2904946673

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.