Evidence map›Paper›PMID 33092641›Full record

ArticleInfectious diseases of poverty2020

Correlates of HIV self-testing among female sex workers in China: implications for expanding HIV screening.

Cheng Wang, Ya-Jie Wang, Joseph D Tucker, Ming-Zhou Xiong, Hong-Yun Fu, M Kumi Smith, Wei-Ming Tang, Jason J Ong, He-Ping Zheng, Bin Yang

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 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

10 authors at 5 institutions in 4 countries.

Cheng WangDermatology Hospital of Southern Medical University, Guangzhou, Guangdong, China. wangcheng090705@gmail.com.ORCID http://orcid.org/0000-0001-8000-9969
Ya-Jie WangDermatology Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Joseph D TuckerUniversity of North Carolina Project-China, Guangzhou, Guangdong, China.
Ming-Zhou XiongDermatology Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Hong-Yun FuDivision of Community Health and Research, Eastern Virginia Medical School, Norfolk, VA, USA.
M Kumi SmithDivision of Epidemiology and Community Health, University of Minnesota Twin Cities, Minneapolis, USA.
Wei-Ming TangDermatology Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Jason J OngFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
He-Ping ZhengDermatology Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Bin YangDermatology Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Southern Medical University · CNEastern Virginia Medical School · USLondon School of Hygiene & Tropical Medicine · GBUniversity of Minnesota · USUniversity of North Carolina at Chapel Hill · US

Funding

Guangdong Medical Research Foundation A2019402
6 · The paper itself

Abstract

backgroundHuman immunodeficiency virus (HIV) self-testing may help improve test uptake among female sex workers. China has implemented many HIV self-testing programs among men who have sex with men, creating an opportunity for promotion among female sex workers. However, there is a limited literature on examining HIV self-testing among female sex workers. This study aimed to examine HIV self-testing experiences and its determinants among female sex workers in China.

methodsA venue-based, cross-sectional study was conducted among Chinese female sex workers in 2019. Participants completed a survey including social-demographic characteristics, sexual behaviors, and HIV self-testing history, the distribution of which were analyzed using descriptive analysis. Multivariable logistic regression was conducted to identify associations with HIV self-testing.

resultsAmong 1287 Chinese female sex workers, 1072 (83.3%, 95% confidence interval [CI] 81.2-85.3%) had ever tested for HIV, and 103 (8.0%, 95% CI 6.6-9.6%) had ever used HIV self-testing. More than half reported that the self-test was their first HIV test (59.2%, 61/103), around one-fifth reported HIV self-testing results influenced the price of sex (21.4%, 22/103). A minority of individuals reported ever experiencing pressure to undertake HIV self-testing (6.8%, 7/103). After adjusting for covariates, HIV self-testing was positively associated with receiving anal sex in the past month (adjusted odds ratio [aOR] = 2.2, 95% CI 1.4-3.5), using drugs before or during sex (aOR = 2.8, 95% CI 1.8-4.5), injecting drugs in the past 6 months (aOR = 2.6, 95% CI 1.2-6.0), being diagnosed with other sexually transmitted infections (aOR = 1.6, 95% CI 1.0-2.5), tested for other sexually transmitted infections in the past six months (aOR = 3.4, 95% CI 2.1-5.5), ever tested in the hospital (aOR = 3.4, 95% CI 2.0-5.6), and ever tested in the community (aOR = 1.5, 95% CI 1.2-1.9).

conclusionsOur findings suggest that HIV self-testing could expand overall HIV testing uptake, increase HIV testing frequency, reach sub-groups of high-risk female sex workers and has limited potential harms among female sex workers. HIV self-testing should be incorporated among Chinese female sex workers as a complement to facility-based HIV testing services.

Indexed as

Self-TestingSex WorkersAdolescentAdultChinaCross-Sectional StudiesFemaleHIV InfectionsHumansMiddle AgedYoung AdultChinaFemale sex workersHIVSelf-testing

Identifiers

PMID33092641
PMCPMC7583185
OpenAlexW3094512535

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.