Evidence map›Paper›PMID 36124514›Full record

ArticleThe Indian journal of medical research2022

Injecting drug use & HIV prevalence among female sex workers: Evidence from the National Integrated Biological & Behavioural Surveillance, India.

Elangovan Arumugam, Santhakumar Aridoss, Joseph K David, Nagaraj Jaganathasamy, Ganesh Balasubramanian, Manikandan Natesan, Malathi Mathiyazhakan, V M Padmapriya, Pradeep Kumar, Shobini Rajan and 1 more

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 8 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

11 authors at 3 institutions in 2 countries.

Elangovan ArumugamDivison of Computing and Information Science, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Santhakumar AridossDivison of HIV Sentinel Surveillane, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Joseph K DavidProcrea Fertility Centre, Vaughan, Ontario, Canada.
Nagaraj JaganathasamyDivison of HIV Sentinel Surveillane, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Ganesh BalasubramanianDivison of Laboratory, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Manikandan NatesanDivison of HIV Sentinel Surveillane, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Malathi MathiyazhakanDivison of HIV Sentinel Surveillane, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
V M PadmapriyaDivison of HIV Sentinel Surveillane, ICMR-National Institute of Epidemiology, Chennai, Tamil Nadu, India.
Pradeep KumarDivison of Surveillance & Epidemiology Division, National AIDS Control Organization, Ministry of Health & Family Welfare, Government of India, New Delhi, India.
Shobini RajanDivison of Surveillance & Epidemiology Division, National AIDS Control Organization, Ministry of Health & Family Welfare, Government of India, New Delhi, India.
Sanjay MehendalePD Hinduja National Hospital & Medical Research Centre, Mumbai, Maharashtra, India.
National Institute of Epidemiology · INGovernment of India · INP. D. Hinduja Hospital and Medical Research Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: Female sex workers (FSWs) who inject drugs (FSW-IDs) have a higher risk of HIV infection and transmission. Understanding the socio-demographic characteristics and other risk behaviours among FSW-IDs will help in strengthening targeted interventions for HIV prevention and management. In the present study, the HIV prevalence, associated socio-demographic characteristics and risk behaviours among FSWs who injected drugs (FSW-IDs) and those who did not ID (FSW-NIDs) was determined in India. Methods: The national cross-sectional, community-based, integrated biological and behavioural surveillance was conducted in 2014-2015 at 73 randomly selected FSW domains across 28 States and Union Territories in India. The sample size was fixed at 400 for each domain, and a probability-based sampling method was followed. The data were analyzed by logistic regression methods. Results: Data from 27,007 FSWs were included in the analysis, of which 802 (3%) were FSW-IDs. HIV prevalence among FSW-IDs was significantly higher than that in FSW-NIDs (4.5 vs. 1.9%). Univariate analysis showed that factors significantly associated with higher HIV prevalence among FSW-IDs were older age, sex work as the only source of income, dissolved marriage, living with a sex worker, urban locality of sex work and consumption of alcohol or oral drugs. In multivariable analysis, factors such as older age of FSW-IDs (35 yr and above), having a dissolved marriage and sex work being the only source of income were observed to be independently and significantly associated with higher HIV prevalence. Interpretation & conclusions: Scaling up the HIV preventive interventions for FSW-IDs, such as facilitating awareness and improved access to needle and syringe exchange programme (NSEP) and opioid substitution therapy (OST), encouraging safe sex and injecting practices, educating on the harmful effects of alcohol and drugs and providing alternative vocation options to secure their financial needs are several strategies that may reduce HIV transmission among FSWs.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsSex WorkersSubstance-Related DisordersCross-Sectional StudiesFemaleHumansIndiaPrevalenceFemale sex workerHIV prevalenceIndiainjecting drug userrisk behaviours

Identifiers

PMID36124514
PMCPMC9707684
OpenAlexW4296226032

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.