Evidence map›Paper›PMID 26822805›Full record

ArticleBMC public health2016

Considering risk contexts in explaining the paradoxical HIV increase among female sex workers in Mumbai and Thane, India.

Sunita V S Bandewar, Shalini Bharat, Anine Kongelf, Hemlata Pisal, Martine Collumbien

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Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

5 authors.

Sunita V S BandewarIndependent Senior Research Professional in Bioethics, Global Health, and Program Evaluation, Pune, MH, 411 008, India. sunita.bandewar@utoronto.ca.
Shalini BharatSchool of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, MH, India. sbharat@tiss.edu.
Anine KongelfPresent address: Norwegian Red Cross, Vestlia 4, Jessheim, Norway. kongelf.anine@gmail.com.
Hemlata PisalIndependent Senior Research Professional, Pune, MH, India. hema_pisal@hotmail.com.
Martine CollumbienLondon School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London, UK. martine.collumbien@lshtm.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe period 2006-2009 saw intensive scale-up of HIV prevention efforts and an increase in reported safer sex among brothel and street-based sex workers in Mumbai and Thane (Maharashtra, India). Yet during the same period, the prevalence of HIV increased in these groups. A better understanding of sex workers' risk environment is needed to explain this paradox.

methodsIn this qualitative study we conducted 36 individual interviews, 9 joint interviews, and 10 focus group discussions with people associated with HIV interventions between March and May 2012.

resultsDramatic changes in Mumbai's urban landscape dominated participants' accounts, with dwindling sex worker numbers in traditional brothel areas attributed to urban restructuring. Gentrification and anti-trafficking efforts explained an escalation in police raids. This contributed to dispersal of sex work with the sex-trade management adapting by becoming more hidden and mobile, leading to increased vulnerability. Affordable mobile phone technology enabled independent sex workers to trade in more hidden ways and there was an increased dependence on lovers for support. The risk context has become ever more challenging, with animosity against sex work amplified since the scale up of targeted interventions. Focus on condom use with sex workers inadvertently contributed to the diversification of the sex trade as clients seek out women who are less visible. Sex workers and other marginalised women who sell sex all strictly prioritise anonymity. Power structures in the sex trade continue to pose insurmountable barriers to reaching young and new sex workers. Economic vulnerability shaped women's decisions to compromise on condom use. Surveys monitoring HIV prevalence among 'visible' street and brothel-bases sex workers are increasingly un-representative of all women selling sex and self-reported condom use is no longer a valid measure of risk reduction.

conclusionsTargeted harm reduction programmes with sex workers fail when implemented in complex urban environments that favour abolition. Increased stigmatisation and dispersal of risk can no longer be considered as unexpected. Reaching the increasing proportion of sex workers who intentionally avoid HIV prevention programmes has become the main challenge. Future evaluations need to incorporate building 'dark logic' models to predict potential harms.

Indexed as

Harm ReductionAdultFemaleFocus GroupsHealth PromotionHIV InfectionsHumansIndiaPrevalenceRisk Reduction BehaviorRisk-TakingSex WorkSex WorkersUrban PopulationYoung Adult

Identifiers

PMID26822805
PMCPMC4730760

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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.