Evidence map›Paper›PMID 28727786›Full record

ArticlePloS one2017

Is there a relationship between geographic distance and uptake of HIV testing services? A representative population-based study of Chinese adults in Guangzhou, China.

Wen Chen, Fangjing Zhou, Brian J Hall, Joseph D Tucker, Carl Latkin, Andre M N Renzaho, Li Ling

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Wen ChenFaculty of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.ORCID http://orcid.org/0000-0002-6839-8890
Fangjing ZhouCenter for Migrant Health Policy, Sun Yat-sen University, Guangzhou, Guangdong, China.
Brian J HallCenter for Migrant Health Policy, Sun Yat-sen University, Guangzhou, Guangdong, China.
Joseph D TuckerCenter for Migrant Health Policy, Sun Yat-sen University, Guangzhou, Guangdong, China.
Carl LatkinDepartment of Health Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Andre M N RenzahoSchool of Social Science and Psychology, Western Sydney University, Penrith, New South Wales, Australia.
Li LingFaculty of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Fogarty Global Health Fellows Coordinating CenterR25TW009340 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHI, BENJAMIN H. · 2012 to 2016
$6.9M
Spurring Innovation in HIV Testing and Linkage: A Crowdsourcing Approach -Diversity SupplementR01AI114310 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TUCKER, JOSEPH DAVID, WEI, CHONGYI · 2014 to 2018
$3.3M
UNC-South China STD Research Training CenterD43TW009532 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COHEN, MYRON SCOTT, TUCKER, JOSEPH DAVID · 2013 to 2017
$1.3M
FIC NIH HHS D43 TW009532FIC NIH HHS R25 TW009340NIAID NIH HHS P30 AI050410NIAID NIH HHS R01 AI114310
6 · The paper itself

Abstract

Achieving high coverage of HIV testing services is critical in many health systems, especially where HIV testing services remain centralized and inconvenient for many. As a result, planning the optimal spatial distribution of HIV testing sites is increasingly important. We aimed to assess the relationship between geographic distance and uptake of HIV testing services among the general population in Guangzhou, China. Utilizing spatial epidemiological methods and stratified household random sampling, we studied 666 adults aged 18-59. Computer-assisted interviews assessed self-reported HIV testing history. Spatial scan statistic assessed the clustering of participants who have ever been tested for HIV, and two-level logistic regression models assessed the association between uptake of HIV testing and the mean driving distance from the participant's residence to all HIV testing sites in the research sites. The percentage of participants who have ever been tested for HIV was 25.2% (168/666, 95%CI: 21.9%, 28.5%), and the majority (82.7%) of participants tested for HIV in Centres for Disease Control and Prevention, public hospitals or STIs clinics. None reported using self-testing. Spatial clustering analyses found a hotspot included 48 participants who have ever been tested for HIV and 25.8 expected cases (Rate Ratio = 1.86, P = 0.002). Adjusted two-level logistic regression found an inverse relationship between geographic distance (kilometers) and ever being tested for HIV (aOR = 0.90, 95%CI: 0.84, 0.96). Married or cohabiting participants (aOR = 2.14, 95%CI: 1.09, 4.20) and those with greater social support (aOR = 1.04, 95%CI: 1.01, 1.07) were more likely to be tested for HIV. Our findings underscore the importance of considering the geographical distribution of HIV testing sites to increase testing. In addition, expanding HIV testing coverage by introducing non-facility based HIV testing services and self-testing might be useful to achieve the goal that 90% of people living with HIV knowing their HIV status by the year 2020.

Indexed as

Health Services AccessibilityAdolescentAdultChinaFemaleHealth SurveysHIV InfectionsHumansMaleMass ScreeningMiddle AgedRisk FactorsYoung Adult

Identifiers

PMID28727786
PMCPMC5519047

What OpenQuestion holds

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LicenceCC BY
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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.