Evidence map›Paper›PMID 23451991›Full record

ArticleAIDS care2013

Differences in HIV risk behavior of injection drug users in New York City by health care setting.

A K Turner, K Harripersaud, N D Crawford, A V Rivera, C M Fuller

Abstract read
In one paragraph

Article in AIDS care, 2013. 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
0.6field-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, 7 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

5 authors at 2 institutions in 1 country.

A K Turnera Department of Epidemiology , Columbia University , New York , NY , USA.
K Harripersaud
N D Crawford
A V Rivera
C M Fuller
Columbia University · USUniversity of Michigan–Ann Arbor · US

Funding

IMSD at Columbia's Mailman School of Public HealthR25GM062454 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GOLDSMITH, JEFF, MARTINS, SILVIA SABOIA · 2002 to 2019
$7.3M
Post exposure prophylaxis among IDU syringe customers-Pharmacy pilot interventionR01DA030253 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI AMESTY, SILVIA, LEWIS, CRYSTAL FULLER · 2010 to 2014
$3.5M
Pharmacy Referral Intervention: IDU Access to ServicesR01DA022144 · NIDA · NEW YORK ACADEMY OF MEDICINE · PI LEWIS, CRYSTAL FULLER · 2007 to 2010
$2.8M
NIDA NIH HHS R01 DA022144NIDA NIH HHS R01 DA022144-01NIDA NIH HHS R01 DA030253NIDA NIH HHS R01 DA030253-03NIGMS NIH HHS R25 GM062454
6 · The paper itself

Abstract

The purpose of this study is to examine the HIV risk behaviors and demographic characteristics of injection drug users (IDUs) by type of health care setting, which can inform development of tailored structural interventions to increase access to HIV prevention and medical treatment services. IDU syringe customers were recruited from pharmacies as part of the "Pharmacist As Resources Making Links to Community Services" (PHARM-Link) study, a randomized community-based intervention in New York City (NYC) aimed at connecting IDUs to HIV prevention, medical, and social services. An ACASI survey ascertained demographics, risk behavior, health-care utilization, and location where health care services were received in the past year. Data were analyzed using logistic regression. Of 602 participants, 34% reported receiving health care at a community clinic, 46% a private medical office, 15% a mobile medical unit, and 59% an emergency room (ER). After adjustment, participants who attended a community clinic were significantly more likely to have health insurance, report syringe sharing, and be HIV positive. Whites, nondaily injectors, insured, and higher income IDUs were more likely to attend a private medical office. Participants who recently used a case manager and had multiple sexual partners were more likely to use a mobile medical unit. ER attendees were more likely to be homeless and report recent drug treatment use. These findings show that IDU demographics and risk behaviors differ by health care setting, suggesting that risk reduction interventions should be tailored to health care settings. Specifically, these data suggest that community clinics and mobile medical units serve high-risk IDUs, highlighting the need for more research to develop and test innovative prevention and care programs within these settings.

Indexed as

Risk-TakingAdultCommunity Health ServicesDrug UsersEmergency Service, HospitalFemaleHealth Care SurveysHIV InfectionsHumansMaleMiddle AgedNew York CityPharmaciesPovertyRisk FactorsRisk Reduction Behavior

Identifiers

PMID23451991
PMCPMC3728172
OpenAlexW2078776618

What OpenQuestion holds

Textmetadata
LicenceTDM
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.