Evidence map›Paper›PMID 24885786›Full record

ArticleBMC women's health2014

Predictors of HIV prevalence among street-based female sex workers in Andhra Pradesh state of India: a district-level analysis.

G Anil Kumar, Rakhi Dandona, Michel Alary, Lalit Dandona

Open access · goldAbstract read
In one paragraph

Article in BMC women's health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.2field-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

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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

4 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 3 countries.

G Anil Kumar
Rakhi DandonaPublic Health Foundation of India, ISID Campus, 4 Institutional Area, Vasant Kunj, New Delhi 110 070, India. rakhi.dandona@phfi.org.
Michel Alary
Lalit Dandona
Public Health Foundation of India · INUniversité Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA decline in HIV prevalence among female sex workers (FSWs) has been reported from the Indian state of Andhra Pradesh between the two rounds of integrated biological and behavioural assessment (IBBA) surveys in 2005-06 and 2009, the first of these around the time of start of the Avahan HIV prevention intervention. In order to facilitate further planning of FSW interventions, we report the factors associated with HIV prevalence among street-based FSWs.

methodsBehavioural data from the two rounds of IBBA surveys, district-level FSW HIV prevention program data, and urbanisation data from the Census of India were utilized. A multilevel logistic model was used to investigate factors associated with inter-district variations in HIV positivity among street-based FSWs in the districts by fitting a two-level model.

resultsThe estimated HIV prevalence among street-based FSWs changed from 16% (95% confidence interval [CI] 14.2 - 17.7%) to 12.9% (95% CI 11.5 - 14.2%) from 2005-06 to 2009. HIV positivity was significantly higher in districts with a high proportion of FSWs registered with targeted interventions (odds ratio [OR] 2.02; 95% CI 1.18-3.45), and in districts with medium (OR 2.54; 95% CI 1.58-4.08) or high (OR 1.55; 95% CI 1.05-2.29) proportion of urban population. Districts which had met the condom requirement targets for FSWs had significantly lower HIV positivity (OR 0.50; 95% CI 0.26-0.97). In round 2 survey, the districts with medium level urbanisation had significantly higher proportion of FSWs registered with HIV intervention programmes and also reported higher consistent condom use with regular partner (p < 0.001).

conclusionsVariations in HIV positivity among street-based FSWs were seen at the district level in relation to HIV intervention programs and the degree of urbanization. These findings could be used to enhance program planning to further reduce HIV transmission in this population.

Indexed as

UrbanizationAdultCondomsFemaleHealth PromotionHIV InfectionsHumansIndiaLogistic ModelsMultilevel AnalysisPrevalenceRisk FactorsSex WorkSex WorkersUrban Population

Identifiers

PMID24885786
PMCPMC4017706
OpenAlexW2011779343

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LicenceCC BY
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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.